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Data Science Course in Andheri

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  • Get Equipped with 11+ years of Certified Data Science Experts.
  • Learn the Several Extensive Data Science Concepts.
  • Most Unique Curriculum Outlined by Professional Data Science Tutors.
  • Support the candidates to get their Dream Job in Data Analytics.
  • Deals with 650+ Recruiting Clients for Providing the Best Interview Preparation Techniques.
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  • It’s a chance to Polish your career in Data Science – Enroll Your Name Now!

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Learn the Consequences of Data Science Certification Training in Andheri

  • This Data Science online course provides all the essential tools and knowledge necessary to become an accomplished Data Scientist.
  • Nearly 100% student satisfaction with over 300+ batches completed successfully.
  • Learn coding in Python and use it for statistical analysis, and get familiar with the mathematics of Machine Learning.
  • Get Trained from certified trainers from highly reputed multinational companies with over several years of experience in the industry.
  • Our trainers specialize in state-of-the-art Deep Learning frameworks like Google's TensorFlowDevelop, keeping you with the current trends of the job market.
  • We teach you how to apply these skills in real life through guided online practice sessions.
  • Tie-up & MOU with over 1000+ Small & Medium Corporate Companies to Support you with Opportunities to Kick-Start & Step-up your Career.
  • Learning Concepts: Data Science, significance of Data Science in today’s digitally-driven world, components of the Data Science lifecycle, big data and Hadoop, Machine Learning and Deep Learning, R programming and R Studio, Data Exploration, Data Manipulation, Data Visualization, Logistic Regression, Decision Trees & Random Forest, Unsupervised learning, Association Rule Mining & Recommendation Engine, Time Series Analysis, Support Vector Machine - (SVM), Naïve Bayes, Text Mining, Case Study.
  • START YOUR CAREER WITH DATA SCIENCE COURSE THAT GETS YOU A JOB OF UPTO 5 LACS IN JUST 60 DAYS!
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Course Objectives

The potential for quantum computing and data science is big within the future. Machine Learning may also method the data abundant quicker with its accelerated learning and advanced capabilities. supported this, the time needed for finding advanced issues is considerably reduced. The role of the data scientist is currently a buzzworthy career. It's standing within the marketplace and provides opportunities for folks that study data science to create valuable contributions to their firms and societies at giant.

Big data. Data scientists shrewdness to use their skills in maths, statistics, programming, and alternative connected subjects to prepare giant information sets. Then, they apply their knowledge to uncover solutions hidden within the information require on business challenges and goals. Data science is high in demand and explains however digital information is remodeling businesses and serving to them create chiseler and significant selections. therefore digital data is everywhere for folks that are trying to figure as a data scientist.

  • Get comfy with Python
  • Learn information analysis, manipulation, and visualization with pandas
  • Learn machine learning with scikit-learn
  • Understand machine learning in additional depth
  • Keep learning and active
With the correct qualifications, you’ll get pleasure from a bright career outlook as a knowledgeable soul. The demand for people with these skills can still increase, and people already in data science roles are bound to see their salaries increase within the future. Data scientists work at intervals in most major industries wherever growth is occurring. Not only did IBM predict the demand for data scientists would grow by 28th in 2020, however, the Bureau of Labor Statistics considers data science within the prime twenty quickest growing occupations and has projected thirty-first growth over the following 10 years.
Data science groups have folks from various backgrounds like chemical engineering, physics, economics, statistics, mathematics, research, technology, etc. You'll realize several data scientists with a bachelor's degree in statistics and machine learning however it's not a demand to be told Data Science.
The various edges of Data Science are as follows:
  • The abundance of Positions
  • An extremely Paid Career
  • Data Science is flexible
  • Data Science Makes information higher
  • Data scientists are extremely Prestigious
  • Apache Spark
  • BigML
  • D3 MATLAB
  • Excel
  • ggplot2

What are the purposes of the Data Science Certification?

The key objective of Data Science is to extract valuable data to be used in the strategic higher cognitive process, development, analytic thinking, and statement. The key techniques in use are data processing, huge data analysis, data extraction, and data retrieval. The purpose of data science is to create the means for extracting business-focused penetrations from data. This requires an understanding of however worth and data flows in an extremely business, and therefore the ability to use that understanding to find business opportunities.

What skills are utilized in a Data Science Online Training in Andheri?

One of the foremost necessary technical knowledge soul skills is applied math analysis and computing, mining, and process big data sets. This additionally includes extracting the info that's thought valuable. Some information scientists have a pH scale
  • Statistics
  • Programming Language R/ Python
  • Data Extraction, Transformation, and Loading
  • Data wrangle and information Exploration
  • Machine Learning And Advanced Machine Learning (Deep Learning)

What are the job opportunities after completing the Data Science Certification Course?

To name many, a number of the foremost common job titles for information scientists include:
  • Business analyst
  • Data Mining Engineer
  • Data designer
  • Data Scientist
  • Senior Data Scientist

What are the requirements for learning Data Science Certification?

Data science requires the basics of statistics and mathematics, which should be clear to be able to analyze the problems that are at hand. To solve business problems, you need to have soft skills like team management and control over the projects to meet the deadlines. You will find many data scientists with a bachelor's degree in statistics and machine learning but it is not a requirement to learn data science

Will Data Science requires coding background?

You need to possess knowledge of different programming languages, like Python, Perl, C/C++, SQL, and Java, with Python being the foremost common cryptography language needed in data science roles. These programming languages facilitate data scientists to organize unstructured data sets.6
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Overview of Data Science Course in Andheri

Our Data Science Training in Andheri has modern labs and infrastructure to offer you hands-on training. In addition, we offer certification schooling in Data Science. We have effectively taught and positioned a lot of our college students in huge global corporations when they have finished the Data Science Training route. We supply 100% placement assistance to our college students. We offer Classroom Training, Weekend Training, and a Fast Song Route for amusing Data Science Training in Andheri. Students can choose the maximum handy adventure instances for them.

To define facts Data Science understanding and decorate facts Data Science understanding venture management, start with its lifestyles cycle. The first level withinside the Data Science understanding pipeline workflow is the capture: collecting facts, extracting them whilst necessary, and coming into it into the device. Data warehousing, facts cleansing, facts processing, facts staging, and facts structure are covered withinside the preservation diploma.


Additional Info

Introduction of Data Analytics Online Certification :

Data processing follows and constitutes one of the facts of Data Science understanding fundamentals. It is withinside the route of facts exploration and processing that facts scientists stand aside from facts engineers. This diploma consists of facts mining, facts splendor and clustering, facts modeling, and summarizing insights gleaned from the facts—the techniques that create effective facts. Next comes facts assessment, and a further essential diploma. Here are facts scientists conduct exploratory and confirmatory Work, regression, predictive assessment, qualitative assessment, and text mining. This diploma is why there can be no such thing as cookie-cutter facts Data Science understanding—while it’s done properly.

Roles of Data Science Online Training :

    “Data Science” refers to a massive collection of mounted, semi-mounted, or unstructured heterogeneous facts. Databases are usually now no longer capable of address such voluminous datasets. As stated earlier, the important detail of Data Science is Data. “The larger the facts, the better the insights,” often of thumb is going. As a result, Data Science is a crucial thing of the Data Science project.

    Data Science is characterized by the resource of the usage of the useful beneficial useful resource of the usage of its variety and amount, every of this is essential for Data Science. Data Science captures the complex patterns from Data Science with the useful beneficial useful resource of the usage of developing Machine Learning Models and Algorithms. Data Science is that a type of venture that can be finished in almost each business enterprise to remedy complex problems. Every business enterprise applies Data Science to a one-of-a-type software program with the view of solving a one-of-a-type problem. Some organizations depend on Data Science and Machine Learning techniques to remedy an exceptional set of problems, which, otherwise, could not be solved. Some of such programs of Data Science and the organizations inside the again of them are listed below.

  • Internet Search Results (Google):
  • When someone searches for something on Google, complex Machine Learning algorithms determine which can be the most relevant results for the search period (s). These algorithms help to rank pages such that the most relevant facts are provided to the man or woman on the urgent of a button.

  • Recommendation Engine (Spotify):
  • Spotify is a music streaming provider that is quite well-known for its cappotential to suggest tracks constant with the taste of the man or woman. This is a notable example of Data Science at play. Spotify’s algorithms use the facts generated with the useful beneficial useful resource of the usage of all people over the years to check the man or woman’s taste in music and suggest him/her with similar music withinside the future. This we may want to the business enterprise draw extra clients due to the fact it's far extra available for the man or woman to use Spotify as it does now no longer name for an entire lot of attention.

  • Intelligent Digital Assistants (Google Assistant):
  • Google Assistant, just like specific voice or text-based digital assistants (moreover referred to as chatbots) is one example of advanced Machine Learning algorithms positioned to use. These algorithms can convert the speech of someone (irrespective of one-of-a-type accents and languages) to text, recognize the context of the text/command, and provide relevant facts or perform a preferred task, all surely with the useful beneficial useful resource of the usage of speakme to the tool.

  • Spam Filter (Gmail):
  • Another key software program of Data Science which we use in our normal lifestyles is the unsolicited mail filters in our emails. These filters automatically separate the unsolicited mail emails from the rest, effectively giving the man or woman a far cleanser email enjoy. Just just like the specific programs, Data Science is the important detail building block here.

  • Abusive Content and Hate Speech Filter (Facebook):
  • Similar to the junk mail filter, Facebook and one-of-a-kind social media systems use Data Science and Machine Learning algorithms to ease out an abusive and age-constrained content material cloth from the accidental audience.

  • Automatic Piracy Detection (YouTube):
  • Most films that are probably in all likelihood uploaded to YouTube are real content material cloth cloth cloth created with the useful beneficial useful resource of the usage of content material cloth cloth cloth creators. However, quite regularly, pirated and copied films are also uploaded to YouTube, that is their policy. Due to the sheer amount of normal uploads, it is not viable to manually come upon and takedown such pirated films. This is in which Data Science is used to automatically come upon pirated films and do away with them from the platform.


What is Data Science?

Data Science is a multidisciplinary venture that uses clinical inference and mathematical algorithms to extract huge records and insights from a massive amount of mounted and unstructured facts. These algorithms are completed through pc programs which can be usually run on powerful hardware as it requires a massive amount of processing. Data Science is a mixture of statistical mathematics, tool studying, facts assessment and visualization, place records, and pc Data Science understanding.

As it's far apparent from the call, the most essential detail of Data Science is “Data” itself. No amount of algorithmic computation can draw huge insights from wrong facts. Data Data Science understanding consists of numerous sorts of facts, for example, picture graph facts, text facts, video facts, time-primarily based facts, etc. Our Data Science Training in Andheri is well-prepared with labs and notable infrastructure to offer you hands-on schooling. In addition, we offer Data Science certification schooling.

What questions are asked during a data science interview ?

Make sure you cover variance and standard deviation, covariance and correlation, the p-value, mean and median, hypothesis testing, and Bayesian statistics in your job interview preparation. As a data scientist, you'll need all of these ideas, so anticipate them to come up in job interviews as well.

What is the process of data science ?

Data Science is an area of study that includes extracting insights from vast amounts of data using a range of scientific methods, algorithms, and procedures. The Data Science Process includes phases such as discovery, data preparation, model planning, model building, operationalization, and communication of results.

Trends Of Data Data Science:

    The venture of Data Science has been growing ever due to its onset withinside the period. With time, the developing current era is being covered withinside the venture. Some of such extra ultra-modern-day-day additions are listed below:

  • Artificial Intelligence:
  • Machine Learning has been one of the sizeable elements of Data Science. However, with the prolonged parallel compute capabilities, Deep Learning has been the modern-day day and one of the most massive additions to the Data Science venture.

  • Edge Computing:
  • Edge computing is in recent times a sophisticated concept and is related to IoT (Internet of Things). Edge computing locations the Data Science pipeline of facts collection, delivery, and processing withinside the course of the delivery of facts. This is viable through IoT and has in recent times been delivered to be a part of Data Science.

  • Security:
  • Security has been a number one task withinside the digital space. Malware injection and the concept of hacking are quite no longer unusualplace and all digital systems are susceptible to it. Fortunately, there have been few ultra-modern-day-day Data Science improvements that exercise Data Science techniques to prevent the exploitation of digital systems. For example, Machine Learning techniques have mounted the extra capability of detecting pc viruses or malware while in evaluation to conventional algorithms.


Skills required to grow to be a Data Scientist:

    As stated withinside the previous section, Data Science is a complex venture. Hence, it requires the mastery of multiple sub-fields, which together add as a good deal because of the reality the entire records are required to be a Data Scientist.

    1. Mathematics:

    The first and the most essential venture of commentary to come to be a Data Scientist is mathematics; extra particularly, Probability and Statistics, Linear Algebra, and some number one Calculus.

    2. Machine Learning Frameworks:

    Machine Learning is an essential part of Data Science and its implementation consists of exceptional libraries and frameworks, the records of which can be essential for any Data Scientist. Some of the most popular Machine Learning frameworks are given here.

  • Numpy:
  • This is a library that allows the clean implementation of linear algebra and facts manipulation.

  • Pandas:
  • This library is used to load, modify and preserve facts. This is also carried out in facts wrangling.

  • Matplotlib:
  • This is one of the most commonly used libraries for facts visualization.

  • Seaborn:
  • This is a wrapper over Matplotlib, that is used to visualize extra complex facts.

  • Sklearn:
  • This is used to apply and positioned into impact most of the tools studying algorithms and facts preprocessing techniques.

  • Tensorflow:
  • This is a deep getting-to-understand framework backed with the useful beneficial useful resource of the usage of Google and allows clean implementation of numerous sorts of neural networks.

  • PyTorch:
  • Similar to TensorFlow, that is moreover a deep studying framework that is regularly used.

  • Keras:
  • This is a wrapper that works together with TensorFlow and allows particularly clean implementation of Deep Learning techniques.

  • OpenCV:
  • This is a pc vision framework and is usually used for Image Processing and picture graph manipulation.

3. Programming Languages (R and Python):

While any programming language may be utilized for any logical use case, which of course includes Data Science, R and Python are the most widely used languages. Both of these languages are open source, which means they have a large community behind them. They have many library superiors that have Data Science in mind, and they are really simple to verify and use. A Data Scientist cannot exercise session any kind of algorithmic or mathematical recordings of facts without the records of programming languages.

4. Proper Programming Environment:

Because good programming records are one of the most important criteria for Data Science, there must be a platform accessible to install, write, and run code. The IDE, or Integrated Development Environment, is the name given to this platform. There are a variety of IDEs to select from, and several have shown to be particularly effective for Data Science.

5. SQL:

Databases are of massive importance withinside the venture of Data Science due to the fact they may be the most suitable approach for storing facts. Thorough records of one or extra database era like MySQL, MariaDB, PostgreSQL, MS SQL Server, MongoDB, Oracle NoSQL, etc.

6. Algorithmic Knowledge:

Even even though Data Science usually does now no longer encompass the development and format of Algorithms like a few one-of-a-kind programs of Computer Science does, it's far even though essential for a Data Scientist to have valid records of Algorithms. This is because of the reality, on the save you of the day, Data Scientists are programmers who are expected to grow programs that would derive huge insights from facts. Having algorithmic records we may want the Data Scientist to write down huge inexperienced code, which saves whenever and supplies and therefore is as an opportunity value.


Future of Data Science Certification Training :

Data Science is an ever-growing venture and is expected to develop in a name for withinside the foreseeable future. Some of the important detail modifications are listed below.

Data: With the radical increase of the technology of facts, the general regular universal overall performance of the predictive algorithms is going to decorate over the years as extra facts are available to draw inference upon. This phenomenon is fueled with the useful beneficial useful resource of the usage of the growth of Social Media and IoT-based devices, which generate masses extra facts.

Algorithms:Machine Learning algorithms like Genetic Algorithms and Reinforcement Learning algorithms are expected to decorate over the years causing extra clever systems.

Distributed Computing: With the improvements of the blockchain era, TPU (Tensor Processing Unit) development, and faster GPU (Graphics Processing Unit) available withinside the cloud, Data Science sees a future in which extra powerful computational hardware aids the algorithms of developing complexity.

Career Growth of Data Science Certification Training in Andheri :

The 21 century is probably ruled with the aid of using the useful beneficial useful resource of the usage of facts. Data Science has grown to be an essential part of many organizations and industries. It affords precious insights into client behavior that may bring about prolonged conversions, extra actual market assessment for competitive gain in pricing strategies or product development, advanced operational efficiency, and minimized danger exposure through accurate forecasting models. A data scientist is a multidisciplinary expert that works with huge volumes of data to uncover insights and solutions to business challenges. A postgraduate degree in a technical area, such as computer science or statistics, is generally required of data scientists. Data science is a fantastic career option. Data technological know-how professionals are wished in nearly every field, from authorities protection to relationship apps. Millions of corporations and authorities departments rely upon massive information to be triumphant and higher serve their customers. Data technological know-how careers are in excessive call for and this fashion will now no longer be slowing down any time soon, if ever. If you need to interrupt the sector of information technological know-how, there are some methods you may put together yourself to tackle those tough but interesting roles. Perhaps maximum importantly, you may want to electrify destiny employers through demonstrating your knowledge and former paintings revel in. One such manner you may construct the one's abilities and revel in is to pursue a complicated diploma application to your location of interest.

Advantages Of Data Science Certification Training :

1. Increases commercial enterprise predictability

Increases business enterprise predictability will increase company business enterprise predictability is a business enterprise that invests in structuring its facts, it can artwork with what we call predictive assessment. With the help of the facts scientists, it's far viable to use era collectively with Machine Learning and Artificial Intelligence to Work with the facts that the business enterprise has and, in this manner, carry out extra unique analyses of what is to come. Thus, you develop the predictability of the industrial business enterprise and might make alternatives in recent times in a manner to affect the future of your company business enterprise.

2. Ensures real-time intelligence

EEnsures actual-time intelligence ensures real-time intelligence guarantees real-time intelligence facts of scientists can Work with RPA specialists to choose out out out the property of the one-of-a-type facts of their company business enterprise and create computerized dashboards, which is probably attempting to find the most of these facts in real-time in a blanketed manner. This intelligence is essential for the managers of your business enterprise to make extra accurate and faster alternatives.

3. Favors the advertising and income place

Favors the marketing and marketing and earnings area favors the advertising and marketing and advertising and marketing and profits area favors the marketing and marketing and advertising and marketing and marketing and marketing and advertising and marketing and profits place records-driven Marketing is a famous period in recent times. The cause is simple: simplest with facts, we can offer solutions, communications, and products that are probably in all likelihood constant with client expectations. As we have got have been given seen, facts scientists can integrate facts from without a doubt considered surely one in every of the kind property, bringing even extra accurate insights to their team. This is viable with Data Science.

4. Improves facts security

Improves statistics safety improves data safety improves facts safety of the benefits of Data Science are the Work is done withinside the place of facts safety. In that sense, there can be a global of possibilities. The facts scientists Work on fraud prevention systems, for example, to preserve your business enterprise’s customers safer. On the opportunity hand, he can also check normal sorts of behavior in a business enterprise’s systems to choose out out out out viable architectural flaws.

5. Helps interpret complicated facts

Helps interpret complex statistics helps interpret complicated data allows interpret complex facts records Science is a first-rate solution while we want to transport one-of-a-type facts to recognize the industrial business enterprise and the market better. Depending on the device we use to build up facts, we can integrate facts from “physical” and virtual property for better visualization.

6. Facilitates the decision-making process

Facilitates the decision-making process facilitates the decision-making device allows the selection-making device of the course, from what we have got have been given exposed so far, you need to already accept as true with that one of the benefits of Data Science is improving the selection-making device. This is because of the reality we can create a device to view facts in real-time, allowing extra agility for company business enterprise managers. This is done every with the useful beneficial useful resource of the usage of dashboards and with the useful beneficial useful resource of the usage of the projections which is probably viable with the facts scientist’s treatment of facts.

Tools Of Data Science online Training :

    A Data Scientist is at a rate of obtaining, manipulating, pre-processing, and predicting facts from facts. He'll want several statistical types of equipment and laptop languages to perform so. We'll undergo a number of the Data Science Tools that Data Scientists make use of to perform their facts operations on this post. We'll find out about the equipment's fundamental features, benefits, and an evaluation of various facts of technological know-how equipment.

  • SAS
  • Apache Spark
  • BigML
  • D3.js
  • MATLAB
  • Excel

Salaries of a Data Scientist In Andheri:

The Data Science venture is one of the most paying jobs withinside the software program application software program place. It is also the satisfactory paying with the lowest amount of relevant Work enjoy while in evaluation to three one of a kind traumatic conditions withinside the software program application software program place, as mounted withinside the parent. A data scientist's average annual salary is Rs. 698,412. An entry-level data scientist can earn around 500,000 per year with less than a year of experience. With 1 to 4 years of experience, data scientists may expect to earn about 610,811 per year.

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Data Science Course Key Features

ACTE Andheri offers Data Science Training in more than 27+ branches with expert trainers. Here are the key features,

  • One-on-one Doubt Clearance
  • Guaranteed Course Completion
  • Suitable for Beginners & Intermediate
  • Live training with Industry Professionals
  • Completed 500+ Batches
  • Resume Building & Job Orientation Training

Authorized Partners

ACTE TRAINING INSTITUTE PVT LTD is the unique Authorised Oracle Partner, Authorised Microsoft Partner, Authorised Pearson Vue Exam Center, Authorised PSI Exam Center, Authorised Partner Of AWS and National Institute of Education (nie) Singapore.

Curriculum

Syllabus of Data Science Training in Andheri
Module 1: Introduction to Data Science with R
  • What is Data Science, the significance of Data Science in today’s digitally-driven world, applications of Data Science, elements of Data Science, components of the Data Science lifecycle, introduction to big data and Hadoop, introduction to Machine Learning and Deep Learning, introduction to R programming and R Studio.
  • Hands-on Exercise - Installation of R Studio, implementing easy mathematical operations and logic using R operators, loops, if statements and switch cases.
Module 2: Data Exploration
  • Introduction to data exploration, commerce and commercialism data to/from external sources, what is data exploratory analysis, data commerce, data frames, operating with data frames, accessing individual components, vectors and factors, operators, in-built functions, conditional, process statements and user-defined functions, matrix, list and array.
  • Hands-on Exercise -Accessing individual components of client churn data, modifying and extracting the results from the dataset victimization user-defined functions in R.
Module 3: Data Manipulation
  • Need for Data Manipulation, Introduction to duly package, choosing one or more columns with select() function, Filtering out records on the basis of a condition with filter() function, Adding new columns with the mutate() function, Sampling & Counting with sample_fn(), sample_frac() & count() functions, obtaining summarized results with the summarize() function, Combining totally different functions with the pipe operator, Implementing sql like operations with self.
  • Hands-on Exercise -Implementing punctually to perform numerous operations for abstracting over however data is manipulated and stored.

Module 4: Data Visualization
  • Introduction to visualization, differing types of graphs, Introduction to synchronic linguistics of graphics & ggplot2 package, Understanding categorical distribution with geom_bar() function, understanding numerical distribution with geom_hist() function, building frequency polygons with geom_freqpoly(), creating a scatter-plot with geom_pont() function, multivariate analysis with geom_boxplot, univariate Analysis with Bar-plot, histogram and Density Plot, variable distribution, Bar-plots for categorical variables victimization geom_bar(), adding themes with the theme() layer, visualization with portly package & building web applications with shiny R, frequency-plots with geom_freqpoly(), multivariate distribution with scatter-plots and smooth lines, continuous vs categorical with box-plots, subgrouping the plots, working with co-ordinates and themes to make the graphs more presentable, Intro to plotly & various plots, visualization with gives package, geographic visualization with ggmap(), building web applications with shiny R.
  • Hands-on Exercise -Creating data visualization to know the client churn ratio using charts using ggplot2, Portly for importing and analyzing data into grids. You'll visualize tenure, monthly charges, total charges and alternative individual columns by victimization the scatter plot.
Module 5: Introduction to Statistics
  • Why do we want Statistics?, Categories of Statistics, Statistical applied Terminologies, Types of Data, Measures of Central Tendency, Measures of Spread, Correlation & Covariance, Standardization & Normalization, Probability & Types of Probability, Hypothesis Testing, Chi-Square testing, ANOVA, normal distribution, binary distribution.
  • Hands-on Exercise -– Building a statistical applied analysis model that uses quantifications, representations, experimental data for gathering, reviewing, analyzing and drawing conclusions from data.
Module 6: Machine Learning
  • Introduction to Machine Learning, introduction to Linear Regression, predictive modeling with Linear Regression, simple Linear and multiple Linear Regression, ideas and formulas, assumptions and residual diagnostics in Linear Regression, building simple linear model, predicting results and finding p-value, introduction to logistic regression, comparing linear regression and logistics regression, bivariate & multi-variate logistic regression, confusion matrix & accuracy match of model, threshold evaluation with ROCR, Linear Regression concepts and detailed formulas, various assumptions of Linear Regression, residuals, qqnorm(), qqline(), understanding the fit of the model, building straight forwarding linear model, predicting outline results and finding p-value, understanding the summary results with Null Hypothesis, p-value & F-statistic, building linear models with multiple independent variables.
  • Hands-on Exercise -Modeling the link at intervals within the data using linear predictor functions. Implementing Linear & provision Logistics Regression in R by building model with ‘tenure’ as dependent variable and multiple freelance variables.
Module 7: Logistic Regression
  • Introduction to Logistic Regression, Logistic Regression Concepts, Linear vs Logistic regression, math behind Logistic Regression, detailed formulas, logit operate function and odds, Bi-variate logistic Regression, Poisson Regression, building straightforward “binomial” model and predicting result, confusion matrix and Accuracy, true positive rate, false positive rate, and confusion matrix for evaluating built model, threshold analysis evaluation with ROCR, finding the right threshold by building the ROC plot, cross validation & multivariate logistic regression, building logistic models with multiple independent variables, real-life applications of providing Logistic Regression.
  • Hands-on Exercise -Implementing prognosticative analytics by describing the data and explaining the relationship between one dependent binary variable and one or a lot of binary variables. You'll use glm() to create a model and use ‘Churn’ as the dependent variable. Module 8: Decision Trees & Random Forest
Module 8: Decision Trees & Random Forest
  • What is classification and totally different classification techniques, introduction to Decision Tree, algorithm for decision tree induction, building a decision tree in R, creating a perfect Decision Tree, Confusion Matrix, Regression trees vs Classification trees, introduction to ensemble of trees and bagging, Random Forest concept, implementing Random Forest in R, what is Naïve Bayes, Computing Possibilities, Impurity Function – Entropy, understand the ideas of information gain for right split of node, Impurity Function – Information gain, understand the concept of Gini index for right split of node, Impurity Function – Gini index, understand the concept of Entropy for right split of node, overfitting & pruning, pre-pruning, post-pruning, cost-complexity pruning, pruning decision tree and predicting values, realize the right no of trees and evaluate performance metrics.
  • Hands-on Exercise -Implementing Random Forest for both regression and classification problems. You will build a tree, prune it by using ‘churn’ because of the dependent variable and build a Random Forest with the proper of trees, victimization ROCR for performance metrics.
Module 9: Unsupervised learning
  • Introduction to association rule Mining & Market Basket Analysis, measures of Association Rule Mining: Support, Confidence, Lift, Apriority algorithm & implementing it in R, Introduction to Recommendation Engine, user-based cooperative filtering & Item-Based Cooperative Filtering, implementing Recommendation Engine in R, user-Based and item-Based, Recommendation Use-cases. Hands-on Exercise -Deploying association analysis as a rule-based machine learning method, identifying strong rules discovered in databases with measures based on fascinating discoveries.
  • Hands-on Exercise -Deploying unsupervised learning with R to achieve clustering and dimensionality reduction, K-means clustering for visualizing and interpreting results for the customer churn data.
Module 10: Association Rule Mining & Recommendation Engine
  • Introduction to association rule Mining & Market Basket Analysis, measures of Association Rule Mining: Support, Confidence, Lift, Apriori algorithm & implementing it in R, Introduction to Recommendation Engine, user-based collaborative filtering & Item-Based Collaborative Filtering, implementing Recommendation Engine in R, user-Based and item-Based, Recommendation Use-cases.
  • Hands-on Exercise -Deploying association analysis as a rule-based machine learning method, identifying strong rules discovered in databases with measures based on interesting discoveries.
Module 11: Introduction to Artificial Intelligence (self paced)
  • introducing Artificial Intelligence and Deep Learning, what is an Artificial Neural Network, TensorFlow – computational framework for building AI models, fundamentals of building ANN using TensorFlow, working with TensorFlow in R.
Module 12: Time Series Analysis (self paced)
  • What is Time Series, techniques and applications, parts of Time Series, moving average, smoothing techniques, exponential smoothing, univariate time series models, multivariate time series analysis, Arima model, Time Series statistic in R, sentiment analysis in R (Twitter sentiment analysis), text analysis.
  • Hands-on Exercise -Analyzing time series of statistic data, sequence of statistic measurements that follow a non-random order to identify the nature of development and to forecast the future run values in the series.
Module 13: Support Vector Machine - (SVM) (self paced)
  • Introduction to Support Vector Machine (SVM), Data classification treatment using SVM, SVM Algorithms using mistreatment Separable and Inseparable cases, Linear SVM for characteristics margin hyperplane.
Module 14: Naïve Bayes (self paced)
  • what is Bayes theorem, What's Naïve Bayes Classifier, Classification Workflow, However Naïve Bayes classifier works, Classifier building in Simit-learn, building a probabilistic classification model using Naïve Bayes, Zero chance drawback Probability Problem.
Module 15: Text Mining (self paced)
  • Introduction to ideas of Text Mining, Text Mining use cases, understanding and manipulating text with ‘tm’ & ‘stringR’, Text Mining Algorithms, Quantification of Text, Term Frequency-Inverse Document Frequency (TF-IDF), After TF-IDF.
Module 16: Case Study
  • This case study is related to the modeling technique of Market Basket Analysis wherever you'll study about loading of data, numerous techniques for plotting the things and running the algorithms. It includes checking out what are the items that go hand in hand and thence will be clubbed together. This can be used for various real world eventualities like a supermarket shopping cart and so on.
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Get Hands-on Knowledge about Real-Time Data Science Projects

Project 1
Fake News Detection

The goal of this project is to create a real-time machine learning model determine the legitimacy of social media news.

Project 2
Forest Fire Prediction

To deal with such a calamity, a large sum of money must be spent on infrastructure, as well as control and handling.

Project 3
Road Lane Line Detection

In this project, lines placed on the road provide lane detection instructions to a human driver and detections.

Project 4
Driver Drowsiness Detection

The major goal of this project is to detect when a driver may become tired and fall asleep while driving.

Our Recruiting Partner for Placements

ACTE Andheri offers placement opportunities as add-on to every student / professional who completed our classroom or online training. Some of our students are working in these companies listed below.

  • We are associated with a dedicated Placement support team that provides the necessities of Learners on Hiring.
  • After completing the Data science Online Course, we will organize the interview calls to students & prepare them for F2F synergy.
  • We are associated with TOP IT resistant companies like HCL, Wipro, Dell, HP, Accenture, Google, CTS, TCS, IBM, etc. It makes us fit to put our applicants in top MNCs across the globe.
  • Data Science Trainers assist students in developing their resume matching the current industry needs
  • Trainers instruct the students in developing their skills matching the present enterprise essentials.
  • We will schedule Mock Exams and Mock Interviews to upskill the candidates' knowledge.

Get Certified in Data Science with Industry Recognized ACTE Certificate

ACTE Data Science Training Certificate is authorized by all Worldwide Organizations and all over the globe. After completion of the entire program will provide the certificates for both the candidates and the professional instructors. Our trainers helped the candidates to get certified the other certification like CCA and CCP are the top-level proving your advanced skills and deep knowledge of Machine Learning. ACTE Data Science Certification will enhance the significance of your resume. It will lead you to a wide range of opportunities in your Career Path. This Certificate will help you to adopt new skills in the development of advanced concepts of Data Science.

Our ACTE Instructors will help the students to grab the knowledge on Other Data Science Programming and trained them to get other certification which is listed below:

  • Dell EMC Proven Professional Certification Program
  • Certified Analytics Professional
  • SAS Academy for Data Science
  • Microsoft Certified Solutions Expert
  • Cloudera Certified Associate
  • Cloudera Certified Professional - CCP Data Engineer
  • Data Science Certificate
  • Amazon AWS Big Data Certification
  • Oracle Certified Business Intelligence

  • Knowing a few algorithms well is better than knowing about many algorithms and linear regression, k-means clustering, and logistic regression well, can explain and interpret their results.
  • Most of the time, once you use associate degree formula, it'll be a version from a library. You’ll rarely be implementations SVM concepts.
  • Adopt a resource from good study books and e-learning methods according to your exam preparation.
  • Join Our ACTE Data Science Training Course get communicate with our instructors will get an idea regarding the subject and schedule the study plan for the certification exam.

With Data Science Training certificate you will hire for the following jobs:

  • Data Analyst
  • Data Engineers
  • Database Administrator
  • Machine Learning Engineer
  • Data Scientist
  • Data Architect
  • Statistician
  • Business Analyst
  • Data and Analytics Manager

Complete Your Course

a downloadable Certificate in PDF format, immediately available to you when you complete your Course

Get Certified

a physical version of your officially branded and security-marked Certificate.

Get Certified

About Qualified Data Science Instructor

  • Our Data Science Training in Andheri have certified professionals with 9+ years of experience currently working employees with organizations like Cognizant, Dell, Infosys, IBM, L&T InfoTech, TCS, HCL Technologies, etc.
  • The trainers demonstrate many live projects for the training candidates during their training sessions.
  • Tutors will insist the candidates get placed in their respective companies through Employee referral or Internal Hiring Process.
  • Our ACTE tutors are industry-experts and subject specialists who have mastered running applications Providing to them
  • Our Mentors provide our learners with valuable insights into Interview scenarios and questions, as well as thorough Interview preparation and Soft Skills in Best Data Science Certification in Andheri to the students.
  • ACTE Training Institute received prestigious awards for Data Science Training in Andheri from recognized IT industries.

Data Science Course Reviews

Our ACTE Andheri Reviews are listed here. Reviews of our students who completed their training with us and left their reviews in public portals and our primary website of ACTE & Video Reviews.

Nandhini

Student

ACTE is the best training institute for Data science and Data Analytics in BTM Layout. The trainers are well experienced and the methodology of teaching is top notch. They provide practicals along with theoretical sessions for complete understanding of the concepts. They even provide placement assistance after course completion as well.

Suresh Kumar

Software Engineer

ACTE is very good platform to achieve knowledge in depth and They are providing placement for getting Job my experience and i have completed Data Science course in Andheri and ACTE was wonderful not only in terms of understanding the technology but also provides hands on practice to work on technology practically and the faculty is Extremely good and they help students in each and every way possible

Ebenazar

Best DATA SCIENCE training institute in Tambaram with Realtime client projects and dedicated support team. I have taken Data science training on this January and completely happy with their teachings, projects and job support after the course completion. It's a One stop destination for your data science And AI training in BTM Layout.

Illakiya

Student

ACTE for your career switch to Data Science..They have well experienced Trainers in ACTE who can make you industry ready. Curriculum is quite unique and includes current industry needs. They give very good job assistance also.

Tharani

Software Engineer

Its a good institute for Data Science in Porur. The teaching staff is good, they give us day wise assignments which helped me to hands on algorithms of machine learning and also provide us the backup classes. The access they provide is very helpful to listen the classes repeatedly. They provide good placement assistance. Thanks social ACTE team for your support and guidance.

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Data Science Course FAQs

Looking for great Discount Price?

Call now: +91 93833 99991 and know the exciting offers available for you!
  • ACTE training institute is the Legend in offering placement to the students. Please visit our Placed Students List on our website
  • We have strong relationship with over 700+ Top MNCs like SAP, Oracle, Amazon, HCL, Wipro, Dell, Accenture, Google, CTS, TCS, IBM etc.
  • More than 3500+ students placed in last year in India & Globally
  • ACTE conducts development sessions including mock interviews, presentation skills to prepare students to face a challenging interview situation with ease.
  • We have 85% percent of placement record.
  • Our Placement Cell support you till you get placed in better MNC
  • Please Visit Your Student Portal | Here FREE Lifetime Online Student Portal help you to access the Job Openings, Study Materials, Videos, Recorded Section & Top MNC interview Questions
    ACTE Gives Certificate For Completing A Course
  • Certification is Accredited by all major Global Companies
  • ACTE is the unique Authorized Oracle Partner, Authorized Microsoft Partner, Authorized Pearson Vue Exam Center, Authorized PSI Exam Center, Authorized Partner Of AWS and National Institute of Education (NIE) Singapore
  • The entire Data Science training has been built around Real Time Implementation according to the Corporate firms.
  • You Get Hands-on Experience with Industry Projects, Hackathons & lab sessions which will help you to Build your Project Portfolio
  • GitHub repository and Showcase to Recruiters in Interviews & Get Placed
All the instructors at ACTE are practitioners from the Industry with minimum 9-12 yrs of relevant IT experience. They are subject matter experts and are trained by ACTE for providing an awesome learning experience.
No worries. ACTE assure that no one misses single lectures topics. We will reschedule the classes as per your convenience within the stipulated course duration with all such possibilities. If required you can even attend that topic with any other batches.
We offer this course in “Class Room, One to One Training, Fast Track, Customized Training & Online Training” mode. Through this way you won’t mess anything in your real-life schedule.

Why Should I Learn Data Science Course At ACTE?

  • Data Science Course in ACTE is designed & conducted by Data Science experts with 10+ years of experience in the Data Science domain
  • Only institution in India with the right blend of theory & practical sessions
  • In-depth Course coverage for 60+ Hours
  • More than 50,000+ students trust ACTE
  • Affordable fees keeping students and IT working professionals in mind
  • Course timings designed to suit working professionals and students
  • Interview tips and training
  • Resume building support
  • Real-time projects and case studies
Yes We Provide Lifetime Access for Student’s Portal Study Materials, Videos & Top MNC Interview Question.
You will receive ACTE globally recognized course completion certification Along with National Institute of Education (NIE), Singapore.
We have been in the training field for close to a decade now. We set up our operations in the year 2009 by a group of IT veterans to offer world class IT training & we have trained over 50,000+ aspirants to well-employed IT professionals in various IT companies.
We at ACTE believe in giving individual attention to students so that they will be in a position to clarify all the doubts that arise in complex and difficult topics. Therefore, we restrict the size of each Data Science batch to 5 or 6 members
Our courseware is designed to give a hands-on approach to the students in Data Science. The course is made up of theoretical classes that teach the basics of each module followed by high-intensity practical sessions reflecting the current challenges and needs of the industry that will demand the students’ time and commitment.
You can contact our support number at +91 93800 99996 / Directly can do by ACTE.in's E-commerce payment system Login or directly walk-in to one of the ACTE branches in India
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