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Data Science Course in Goregaon

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Learn the Consequences of Data Science Certification Training in Goregaon

  • 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.
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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 Goregaon?

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 Goregaon

Data Data Science know-how is the exercise of mining huge facts units of uncooked facts, each established and unstructured, to pick out styles and extract actionable perception from them. This is an interdisciplinary subject, and the rules of facts Data Science know-how consist of records, inference, laptop Data Science know-how, predictive analytics, device getting to know the set of rules improvement, and new technology to benefit insights from large facts. To outline facts Data Science know-how and enhance facts Data Science know-how undertaking management, begin with its lifestyles cycle. The first degree withinside the facts Data Science know-how pipeline workflow includes seize: obtaining facts, from time to time extracting it, and getting into it into the system. The subsequent degree is maintenance, which incorporates facts warehousing, facts cleansing, facts processing, facts staging, and facts architecture.


Additional Info

Introduction of Data Analytics Certification Course :

Data processing follows and constitutes one of the facts of Data Science know-how basics. It is all through facts exploration and processing that facts scientists stand other than facts engineers. This degree includes facts mining, facts class and clustering, facts modeling, and summarizing insights gleaned from the facts—the strategies that create powerful facts. Next comes facts evaluation, and similarly crucial degree. Here are facts scientists behavior exploratory and confirmatory Work, regression, predictive evaluation, qualitative evaluation, and textual content mining. This degree is why there may be no such component as cookie-cutter facts Data Science know-how—whilst it’s accomplished properly.

Roles of Data Science Online Training :

    The period “Big Data” refers to a huge series of established, semi-established, or unstructured heterogeneous facts. Databases are commonly now no longer able to managing such voluminous datasets. As cited earlier, the important thing element of Data Science is Data. As a rule of thumb, “greater the facts, the higher the insights”. Hence, Big Data performs a vital function withinside the subject of Data Science. Big Data is characterized with the aid of using its range and quantity, each of that is vital for Data Science. Data Science captures the complicated styles from Big Data with the aid of using growing Machine Learning Models and Algorithms. Data Science is this kind of subject that may be implemented in nearly every enterprise to resolve complicated problems. Every organization applies Data Science to one-of-a-kind utility with the view of fixing a one-of-a-kind problem. Some corporations rely upon Data Science and Machine Learning strategies to resolve a positive set of problems, which, otherwise, couldn't have been solved. Some of such packages of Data Science and the corporations in the back of them are indexed below.

  • Internet Search Results (Google):
  • When a person searches for something on Google, complicated Machine Learning algorithms decide that are the maximum applicable effects for the quest period (s). These algorithms assist to rank pages such that the maximum applicable facts are supplied to the person at the pressing of a button.

  • Recommendation Engine (Spotify):
  • Spotify is a song streaming carrier this is pretty famous for its cappotential to advise song according to the flavor of the person. This is an excellent instance of Data Science at play. Spotify’s algorithms use the facts generated with the aid of using every person through the years to study the person’s flavor in song and advise him/her with comparable song withinside the destiny. This lets the organization draw greater customers in view that it's miles greater handy for the person to apply Spotify because it does now no longer call for a whole lot of attention.

  • Intelligent Digital Assistants (Google Assistant):
  • Google Assistant, just like different voice or textual content-primarily based virtual assistants (additionally called chatbots) is one instance of superior Machine Learning algorithms placed to apply. These algorithms can convert the speech of a person (despite one-of-a-kind accents and languages) to textual content, recognize the context of the textual content/command and offer applicable facts or carry out a preferred task, all simply with the aid of using talking to the device.

  • Autonomous Driving Vehicle (Waymo):
  • Autonomous Driving automobiles are one of the bleeding edges of technology. Companies like Waymo makes use of high-decision cameras and LIDARs to seize stay video and 3-D maps of the encircling to feed that thru Machine Learning algorithms which help in autonomously using the car. Here, the facts are the movies and 3-D maps captured with the aid of using the sensors.

  • Spam Filter (Gmail):
  • Another key utility of Data Science which we use in our daily lifestyles is the junk mail filters in our emails. These filters robotically separate the junk mail emails from the rest, successfully giving the person a miles purifier electronic mail revel in. Just just like the different packages, Data Science is the important thing constructing block here.

  • Abusive Content and Hate Speech Filter (Facebook):
  • Similar to the junk mail filter, Facebook and different social media systems use Data Science and Machine Learning algorithms to clear out abusive and age-confined content material from the accidental audience.

  • Robotics (Boston Dynamics):
  • A key element of Data Science is Machine Learning, that's precisely what fuels maximum robotics operations. Companies like Boston Dynamics are at the vanguard of the robotics enterprise and broaden self-sustaining robots which might be able to humanoid moves and actions.

  • Automatic Piracy Detection (YouTube):
  • Most movies that might be uploaded to YouTube are authentic content material created with the aid of using content material creators. However, pretty often, pirated and copied movies also are uploaded to YouTube, that's their policy. Due to the sheer quantity of everyday uploads, it isn't always viable to manually stumble on and takedown such pirated movies. This is wherein Data Science is used to robotically stumble on pirated movies and cast off them from the platform.


What is Data Science?

Data Science is a multidisciplinary subject that makes use of clinical inference and mathematical algorithms to extract significant understanding and insights from a huge quantity of established and unstructured facts. These algorithms are applied thru laptop packages that are commonly run on effective hardware because it calls for a widespread quantity of processing. Data Science is an aggregate of statistical mathematics, device getting to know, facts evaluation and visualization, area understanding, and laptop Data Science know-how. As it's miles obvious from the name, the maximum vital element of Data Science is “Data” itself. No quantity of algorithmic computation can draw significant insights from incorrect facts. Data Data Science know-how includes diverse kinds of facts, for instance, picture facts, textual content facts, video facts, time-based facts, etc. Our Data Science Training in in Goregaon is well-equipped with labs and excellent infrastructure to provide you with hands-on training. In addition, we provide Data Science certification training.

Trends Of Data Data Science:

    The subject of Data Science has been increasing ever in view that its onset withinside the early 2000s. With time, an increasing number of contemporary technology is being integrated into the subject. Some of such greater latest additions are indexed below:

  • Artificial Intelligence:
  • Machine Learning has been one of the central factors of Data Science. However, with the multiplied parallel compute capabilities, Deep Learning has been the present day and one of the maximum widespread additions to the Data Science subject.

  • Smart Apps or Intelligent Systems:
  • The improvement of facts-pushed smart packages and their accessibility in a transportable shape thing has resulted in the inclusion of part of this subject into Data Science. This is in most cases due to the fact a huge part of Data Science has been constructed around Machine Learning, which is likewise what Smart Apps and Intelligent Systems are primarily based on.

  • Edge Computing:
  • Edge computing is these days evolved idea and is associated with IoT (Internet of Things). Edge computing places the Data Science pipeline of facts series, delivery, and processing in the direction of the supply of facts. This is practicable thru IoT and has these days been introduced to be part of Data Science.

  • Security:
  • Security has been a chief project withinside the virtual space. Malware injection and the idea of hacking are pretty not unusualplace and all virtual structures are prone to it. Fortunately, there had been few latest Data Science improvements that practice Data Science strategies to save you the exploitation of virtual structures. For instance, Machine Learning strategies have demonstrated greater able to detecting laptop viruses or malware whilst in comparison to standard algorithms.


What is the motive of facts Data Science ?

The main motive of Data Science is to discover styles inside facts. It makes use of diverse statistical strategies to investigate and draw insights from the facts. From facts extraction, wrangling, and pre-processing, a Data Scientist should scrutinize the facts thoroughly.

Skills required to grow to be a Data Scientist:

    As cited withinside the preceding section, Data Science is a complicated subject. Hence, it calls for the mastery of a couple of sub-fields, which collectively upload as much as the entire understanding required to be a Data Scientist.

    1. Mathematics:

    The first and the maximum vital subject of observation to grow to be a Data Scientist is mathematics; greater especially, Probability and Statistics, Linear Algebra, and a few primary Calculus.

  • Statistics:
  • It is vital in EDA and growing algorithms to behavior statistical inference at the facts. Additionally, maximum Machine Learning Algorithms use records as their essential constructing blocks.

  • Linear Algebra:
  • Working with a large number of facts approach running with high-dimensional matrices and matrix operations. The facts that the version takes in and the only that it offers as output are withinside the shape of matrices and consequently any operation this is carried out on them makes use of the basics of Linear Algebra.

  • Calculus:
  • Since Data Science does consist of Deep Learning, calculus is of enormous significance. In Deep Learning, calculation of Gradient may be very vital and is accomplished at each step of computation in Neural Networks. This calls for a valid understanding of differential and critical calculus.

2. Algorithmic Knowledge:

Even even though Data Science generally does now no longer contains the improvement and layout of Algorithms like some other utility of Computer Science does, it's miles nonetheless vital for a Data Scientist to have a sound understanding of Algorithms. This is due to the fact, at the stop of the day, Data Scientists are programmers who're anticipated to broaden packages that might derive significant insights from facts. Having algorithmic understanding lets the Data Scientist write down significant green code, which saves each time and source and consequently is distinctly valued.

3. Programming Languages (R and Python):

Even even though, any programming language may be used for any sort of logical use case, which of course, consists of Data Science; but, the maximum usually used languages are R and Python. Both of those languages are open supply and consequently have large network support, have a couple of libraries evolved maintaining Data Science in mind, and are particularly clean to study and use. Without the understanding of programming languages, a Data Scientist can not practice any sort of algorithmic or mathematical understanding of the facts.

4. Proper Programming Environment:

Since sound programming understanding is one of the key necessities for Data Science, there wishes to be a handy platform to write down and execute the code. This platform is known as the IDE or Integrated Development Environment. There are numerous IDEs to pick out from, and a number of them had been specially evolved for Data Science. This article talks approximately the Top 10 Python IDEs.

5. Machine Learning Frameworks:

Machine Learning is a vital part of Data Science and its implementation includes positive libraries and frameworks, the understanding of that are vital for any Data Scientist. Here, a number of the maximum usually used Machine Learning frameworks are indexed.

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

  • Pandas:
  • This library is used to load, regulate and keep facts. This is likewise utilized in facts wrangling.

  • Matplotlib:
  • This is one of the maximum usually used libraries for facts visualization.

  • Seaborn:
  • This is a wrapper over Matplotlib, that's used to visualize greater complicated facts.

  • Sklearn:
  • This is used to use and put into effect maximum of the device getting to know algorithms and facts preprocessing strategies.

  • Tensorflow:
  • This is a deep getting-to-know framework sponsored with the aid of using Google and lets in clean implementation of diverse kinds of neural networks.

  • PyTorch:
  • Similar to TensorFlow, which is additionally a deep getting to know framework this is often used.

  • Keras:
  • This is a wrapper that works along with TensorFlow and lets in particularly clean implementation of Deep Learning strategies.

  • OpenCV:
  • This is a laptop imaginative and prescient framework and is commonly used for Image Processing and picture manipulation.

    6. SQL:

    Databases are of enormous significance withinside the subject of Data Science in view that they're the maximum appropriate approach to storing facts. A thorough understanding of 1 or greater database technology like MySQL, MariaDB, PostgreSQL, MS SQL Server, MongoDB, Oracle NoSQL, etc. is likewise vital.


    Future of Data Science Certification Training :

    Data Science is an ever-developing subject and is anticipated to develop in call for withinside the foreseeable destiny. Some of the important thing modifications are indexed below.

    Data: With the unconventional boom of the era of facts, the overall performance of the predictive algorithms goes to enhance through the years as greater facts are to be had to attract inference upon. This phenomenon is fueled with the aid of using the increase of Social Media and IoT-primarily based devices, which generate loads greater facts.

    Algorithms: Machine Learning algorithms like Genetic Algorithms and Reinforcement Learning algorithms are anticipated to enhance through the years inflicting greater smart structures.

    Distributed Computing: With the improvements of blockchain technology, TPU (Tensor Processing Unit) improvement, and quicker GPU (Graphics Processing Unit) to be had withinside the cloud, Data Science sees a destiny wherein greater effective computational hardware aids the algorithms of growing complexity.

    Career Growth of Data Science Certification Training in Goregaon :

    The 21 century could be dominated with the aid of using facts. Data Science has grown to be a fundamental part of many agencies and industries. It presents treasured insights into consumer conduct which could result in multiplied conversions, greater exact marketplace evaluation for aggressive benefit in pricing techniques or product improvement, progressed operational efficiency, and minimized danger publicity thru correct forecasting models.

    Advantages Of Data Science Certification Training :

    1. Increases commercial enterprise predictability

    When an organization invests in structuring its facts, it may Work with what we name predictive evaluation. With the assist of the facts scientists, it's miles viable to apply technology together with Machine Learning and Artificial Intelligence to Work with the facts that the organization has and, in this way, perform greater particular analyses of what's to come. Thus, you boom the predictability of the commercial enterprise and might make choices nowadays on the way to affect the destiny of your commercial enterprise.

    2. Ensures real-time intelligence

    The facts scientists can Work with RPA specialists to pick out the one-of-a-kind facts assets in their commercial enterprise and create computerized dashboards, which seek all these facts in real-time in an incorporated manner.This intelligence is vital for the managers of your organization to make greater correct and quicker choices.

    3. Favors the advertising and income place

    Data-pushed Marketing is a popular period nowadays. The motive is simple: handiest with facts, we will provide solutions, communications, and merchandise that might be honestly in step with consumer expectations. As we've seen, facts scientists can combine facts from one of the kind assets, bringing even greater correct insights to their team. Can you believe in acquiring the whole consumer adventure map thinking about all of the touchpoints your consumer had together along with your brand? This is viable with Data Science.

    4. Improves facts security

    One of the advantages of Data Science is the Work are accomplished withinside the place of ​​facts security. In that sense, there may be an international of possibilities. The facts scientists Work on fraud prevention structures, for instance, to preserve your organization’s clients safer. On the alternative hand, he also can observe ordinary styles of conduct in an organization’s structures to pick out viable architectural flaws.

    5. Helps interpret complicated facts

    Data Science is an outstanding answer whilst we need to move one-of-a-kind facts to recognize the commercial enterprise and the marketplace higher. Depending on the gear we use to accumulate facts, we will blend facts from “physical” and digital assets for higher visualization.

    6. Facilitates the decision-making process

    Of course, from what we've uncovered so far, you have to already believe that one of the advantages of Data Science is enhancing the decision-making process. This is due to the fact we will create gear to view facts in real-time, permitting greater agility for commercial enterprise managers. This is accomplished each with the aid of using dashboards and with the aid of using the projections which might be viable with the facts scientist’s remedy of facts.

    Salaries of a Data Scientist In Goregaon:

    The Data Science subject is one of the maximum paying jobs withinside the software program area. It is likewise the best paying with the bottom quantity of applicable Work revel in whilst in comparison to some other subject withinside the software program area, as proven withinside the discern below.

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    Data Science Course Key Features

    ACTE Goregaon 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 Goregaon
    Module 1: Introduction to Data Science with R
    • What is Data Science, 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 victimization 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 Goregaon 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 Goregaon 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 Goregaon to the students.
    • ACTE Training Institute received prestigious awards for Data Science Training in Goregaon from recognized IT industries.

    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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        Job Opportunities in Data Science

        More Than 35% Of Developers Prefer Data Science. Data Science Is The Most Popular And In-Demand Programming Language In The Tech World.

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