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Data Science Training in Guwahati

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Best Practices on Job Oriented Modules Covered in Data Science in Guwahati

Play a design role and participate in IT companies.

  • The field of data science is a relatively new one, and this course examines the crucial tools and concepts needed, including machine learning, statistical analysis, and working with data at scale.
  • In the following sections, we will discuss the entire data science process as well as the various roles and skills required. Afterwards, you'll learn how to obtain data from different sources, including web APIs and pages scraped from the internet.
  • Learn how to work with data using tools like R, Python, the command line, and even spreadsheets.
  • A powerful data-analysis technique will be discussed as well. This class will cover a number of techniques for planning, performing, and presenting data science projects. These will get you started in data science and make you more efficient with the available data.
  • Throughout the course, you will be provided with the ultimate toolkit for a data science career. An overview of the field and its different career paths will be provided, such as Product Analyst, Data Engineer, Data Scientist, and many others.
  • Having the knowledge of the various options available will help you take full advantage of them. The course covers a wide range of topics, including probability, statistics, machine learning, product metrics, a variety of data sets, A/B testing, and market analysis, among others.
  • Several world-renowned technology companies will contribute to this course, including Amazon, Square, Facebook, Google, Microsoft, AirBnB, and more!
  • For each question in the course, detailed explanations and solutions will be provided. It also provides you with the opportunity to prepare for exams and serve as a reference while working.
  • You must be familiar with the following topics if you want to pass the interview.
  • With this curriculum, students will understand the subject better. Through our program, we help students prepare for job interviews and find employment with reputable companies.
  • 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!
  • Classroom Batch Training
  • One To One Training
  • Online Training
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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 Guwahati?

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 Training in Guwahati

Data Science Training in Guwahati allows Techies, creatives, and organization professionals all have a place in Data Science . There are such lots of paths you can take; it's far wonderful to take note of one or topics that you excel, and then examine extra from there. There is a Digital Skills Gap: According to this report, there is a developing name for humans with digital skills, specially for those withinside the middle-income bracket, specially mild skills. This hollow is most tremendous withinside the . So, even if you are actually now no longer a whole techie, keeping up with ongoing Training in this area is a high-quality wager for the foreseeable future.

Data Science and marketing is a growing place, and our Data Science and marketing Training business enterprise lets in you to emerge as a outstanding digital marketer. Professionals withinside the Data Science and marketing place have created the direction syllabus for our Data Science and marketing courses. Accreditation in Bing Ads, Google Analytics, and Twitter Marketing are a number of the most in-name for Data Science and marketing certification examinations. For this Data Science Course, we offer every live in-class and on line Training to our students. With this Data Science and marketing Training, you can get preserve of the most updated direction materials.


Additional Info

About of Data Science:

Data technological understanding continues adapting as one of the most encouraging and in-name for expert paths for expert professionals. Today, achievement statistics professionals apprehend that they want to reinforce past the traditional skills to examine large portions of statistics, statistics mining, and programming skills. To locate useful intelligence for their organizations, statistics scientists want to comprehend the general spectrum of the statistics technological understanding life cycle and personal a diploma of flexibility and understanding to maximise returns at each phase of the process.

It is the approach of attracting leads with the resource of the usage of presenting content material fabric that is beneficial to them and will organically bring about engagement. What this shows is that we are talking about inbound marketing and marketing they focus on generating content material fabric that your audience, the humans you want to achieve might like, discover interesting, applicable, educative, or enlightening. When they consume your content material fabric; videos, photographs, or audio they get drawn in your brand because of the reality you’ve given them some stages of data that they already like.

Roles and Responsibilities Data Science:

Data is everywhere and expansive. A form of terms related to mining, cleaning, studying, and interpreting statistics are frequently used interchangeably, but, they may include one-of-a-type expertise gadgets and complexity of statistics.

1. Data Scientist Data scientists examine which questions need answering and in which to find out the related statistics. They have industrial organization acumen and analytical skills further to the capability to mine, clean, and present statistics. Businesses use statistics scientists to deliver, manage, and take a look at large portions of unstructured statistics. Results are then synthesized and communicated to key stakeholders to strain strategic decision-making withinside the agency. Skills needed: Programming skills (SAS, R, Python), statistical and mathematical skills, storytelling and statistics visualization, Hadoop, SQL, device learning

2. Data Analyst Data analysts bridge the gap among statistics scientists and industrial organization analysts. They are provided with the questions that need answering from a agency and then put together and take a look at statistics to find out outcomes that align with immoderate-diploma industrial organization strategy. Data analysts are liable for translating technical assessment to qualitative motion items and successfully talking their findings to severa stakeholders.

3. Data Engineer Data engineers manage exponential portions of abruptly changing statistics. The recognition on the development, deployment, manage, and optimization of statistics pipelines and infrastructure to transform and transfer statistics to statistics scientists for querying. Programming languages (Java, Scala), NoSQL databases (MongoDB, Cassandra DB), and frameworks are all required (Apache Hadoop)


Tools for statistics technological understanding:

  • Building, evaluating, deploying, and monitoring device learning models can be a complex process. That’s why there’s been a growth withinside the huge style of statistics technological understanding gear.
  • Data scientists use many styles of gear, but, one of the most, now no longer unusualplace is open deliver notebooks, which can be net applications for writing and walking code, visualizing statistics, and seeing the outcomes—all withinside the same environment.
  • Some of the most well-known notebooks are Jupyter, RStudio, and Zeppelin. Notebooks are very useful for venture assessment but have their barriers while statistics scientists need to artwork as a team. Data technological understanding systems were built to clear up this problem.
  • To determine which statistics technological understanding tool is right for you, it’s vital to ask the following questions: What shape of languages do your statistics scientists use? What shape of working strategies do they pick? What shape of statistics reasserts are they the use For example, some clients prefer to have a statistics deliver-agnostic service that uses open deliver libraries. Others pick the fee of in-database, device learning algorithms.

The Benefit of a statistics technological understanding platform

  • A statistics technological understanding platform reduces redundancy and drives innovation thru manner of method of allowing agencies to percentage code, outcomes, and reports. It receives rid of bottlenecks withinside the go with the drift of hard work thru manner of method of simplifying manage and incorporating extremely good practices.
  • In general, the extremely good statistics technological understanding systems cause to make statistics scientists greater green thru manner of method of supporting them to reinforce up and deliver models faster, and with a great deal much less error
  • Make it much less complex for statistics scientists to artwork with large volumes and styles of statistics
  • Deliver trusted, organization-grade artificial intelligence that’s bias-free, auditable, and reproducible
  • Data technological understanding systems are built for collaboration thru manner of method of pretty numerous clients such as expert statistics scientists, citizen statistics scientists, statistics engineers, and device learning engineers or professionals. For example, a statistics technological understanding platform might in all likelihood allow statistics scientists to put in models as APIs, making it clean to mix them into one-of-a-type applications. Data scientists can get right of entry to gear, statistics, and infrastructure at the same time as now no longer having to observe for IT.
  • The name for statistics technological understanding systems has exploded withinside the market. The platform market is expected to increase at a compounded annual rate of greater than 39 percentage over the subsequent few years and is projected to achieve $385 billion thru manner of method of 2025.

Eight Must-Have Skills for Data Scientists

Like most careers, the greater advanced your role, the greater suite of skills you’ll need to be a achievement. However, while looking at becoming a Data Scientist, there are certain skills you’ll need to be talented in regardless of your role.

1. Math and Statistics

Any right Data Scientist is going to have a strong foundation built on every math and data. Any industrial organization, specially those which can be statistics-driven, will count on a Data Scientist to apprehend the one-of-a-type techniques to data — such as maximum chance estimators, distributors, and statistical tests — to help make recommendations and decisions. Calculus and linear algebra are every keys as they’re every tied to device learning algorithms.

2. Analytics and Modeling

Data is handiest as right due to the fact the humans performing the analytics and modeling on it, so a expert Data Scientist is expected to have immoderate proficiency on this vicinity. Based on a foundation of every essential thinking and communication, a Data Scientist has to have the capacity to investigate statistics, run tests, and create models to accumulate new insights and are looking ahead to viable outcomes.

3. Machine Learning Methods

While having a expert diploma know-how of this vicinity isn’t continuously necessary, a diploma of familiarity can be expected. Decision trees, logistic regression, and further are key elements that device learning lets in and capacity employers can be searching out the ones skills.

4. Programming

To go with the drift from the theoretical into developing practical applications, a Data Scientist goals strong programming skills. Most agencies will count on you to recognise every Python and R, further to extraordinary programming languages. Object-oriented programming, number one syntax, and features go with the drift manage statements further to libraries and documentation all fall below neath this umbrella.

5. Data Visualization

Data visualization is a key detail of being a Data Scientist as you need to successfully speak key messaging and get buy in for proposed solutions. Understanding how to break down complex statistics into smaller, digestible quantities further to the use of an entire lot of seen aids (charts, graphs, and further) is one expertise any Data Scientist will need to be talented to reinforce profession-wise. Check out our Creating Data Visualizations with Tableau placed up to investigate greater about Tableau and why statistics visualization is so vital.

6. Intellectual Curiosity

At the coronary coronary heart of the statistics, technological understanding role is a deep hobby to clear up problems and find out solutions — specially ones that require some out of the field thinking. Data on its very personal doesn’t mean a whole lot, so a top notch Data Scientist is fuelled thru manner of method of a desire to apprehend greater about what the statistics are telling them, and the manner that facts can be used on a broader scale.

7. Communication

Data don’t speak with out someone manipulating it to do so, which means a effective Data Scientist wants to have strong communication skills. Whether it’s disseminating in your team what steps you want to conform with to get from A to B with the statistics, or giving a presentation to industrial organization leadership, communication should make all the differences withinside the very last outcomes of a project.

8. Business Acumen

For a Data Scientist to successfully use statistics in a way that’s good sized to their employer, there’s a diploma of industrial organization acumen that’s required. You need to apprehend the essential factor objectives and goals of the economic organization and the manner it influences the artwork you’re doing. Also, you moreover would possibly have the purpose to create solutions that meet one's goals in a cost-effective way, clean-to-placed into effect, and ensures massive adoption.

Data technological know-how Certification:

With a real-time Database task revel in supplied on the cease of the Data technological know-how course, this certification states that the candidate has obtained the crucial competencies to paintings as a Data technological know-how Developer. Providing that Data technological know-how certificates together with your resume on the time of the interview aids in prioritizing your profile and furthermore lets in you to get admission to pr ble professional opportunities.

Data technological know-how Certification Course in Toronto imparts the crucial ability devices which are required for a expert Data technological know-how Developer underneath the guidance of our Real-time experts. Data technological know-how Training in Toronto is supplied through a way of techniques of experts who've 8+ years of revel in in the Database Development platform. The worldwide certifications include – IBM Certified Database Administrator DB2, Oracle Database Certified Administrator, Oracle Certified Professional, MyData technological know-how Database Administrator, and Microsoft Data technological know-how Server database certifications.

Modules Of Data technological know-how:

  • Databases and relationships.
  • Data technological know-how commands and query tools are available.
  • Aggregating functions.
  • Sort the list via clause.
  • Tables and joins.
  • Subqueries.
  • Data manipulation.
  • Transactional manage.
  • Opinions and strategies are sides of the same coin.

Features Of Data technological know-how:

  • Earning this Microsoft get admission to-degree certification validates your know-how of records mind implemented in Microsoft Azure records services, which includes methods databases paintings with PostgreData technological know-how and MyData technological know-how.
  • This certification extends past Data technological know-how to illustrate your know-how of relational and non-relational records, in addition to records workloads.
  • The Oracle Database Data technological know-how Certified Associate Certification validates your know-how of essential Data technological know-how mind, it certainly is particularly essential while operating with the Oracle Database server.
  • The certification will display screen your know-how in Data technological know-how, records modeling, and table-use, amongst awesome things.
  • One certification examination should be passed.
  • IBM gives 3 Certified Database Associate Certifications for folks who need to illustrate their know-how of the Informix or Db2 relational database control systems.
  • There is the only examination required for the MyData technological know-how 5.7 Database Administrator Certification an amazing manner to verify your know-how in MyData technological know-how, an Oracle relational database control system.
  • The certification will display screen essential MyData technological know-how know-how which incorporates installation, configuration, and tracking of the database control system.
  • The PostgreData technological know-how 12 Associate Certification from EDB validates your know-how of the basics required to paintings with PostgreData technological know-how servers.
  • PostgreData technological know-how is a relational database that with out problems scales in massive organizations.

Data Scientists: Average Salaries:

Salary packages of statistics scientists rely upon their qualifications, performing roles, pastime profiles, and years of experience. The annual bundle deal of a more energizing usually lies amongst 6 lakh to 8 lakh in step with annum (as in step with Payscale.com). The table below consists of the not unusualplace sales packages supplied to one-of-a-type pastime roles of a Machine Learning Professional (as in step with Payscale.com)Data Science Training in Guwahati we will provide the best job for your further growth

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Key Features

ACTE Guwahati offers Data Science Training in more than 27+ branches with expert trainers. Here are the key features,
  • 40 Hours Course Duration
  • 100% Job Oriented Training
  • Industry Expert Faculties
  • Free Demo Class Available
  • Completed 500+ Batches
  • Certification Guidance

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 Course in Guwahati
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, lifecycle 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 simple mathematical operations and logic using R operators, loops, if statements and switch cases.
Module 2: Data Exploration
  • Introduction to data exploration, importing and exporting data to/from external sources, what is data exploratory analysis, data importing, dataframes, working with dataframes, accessing individual elements, vectors and factors, operators, in-built functions, conditional, looping statements and user-defined functions, matrix, list and array.
  • Hands-on Exercise -Accessing individual elements of customer churn data, modifying and extracting the results from the dataset using user-defined functions in R.
Module 3: Data Manipulation
  • Need for Data Manipulation, Introduction to dplyr package, Selecting 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_n(), sample_frac() & count() functions, Getting summarized results with the summarise() function, Combining different functions with the pipe operator, Implementing sql like operations with sqldf.
  • Hands-on Exercise -Implementing dplyr to perform various operations for abstracting over how data is manipulated and stored.
Module 4: Data Visualization
  • Introduction to visualization, Different types of graphs, Introduction to grammar of graphics & ggplot2 package, Understanding categorical distribution with geom_bar() function, understanding numerical distribution with geom_hist() function, building frequency polygons with geom_freqpoly(), making a scatter-plot with geom_pont() function, multivariate analysis with geom_boxplot, univariate Analysis with Bar-plot, histogram and Density Plot, multivariate distribution, Bar-plots for categorical variables using geom_bar(), adding themes with the theme() layer, visualization with plotly package & building web applications with shinyR, 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 ggvis package, geographic visualization with ggmap(), building web applications with shinyR.
  • Hands-on Exercise -Creating data visualization to understand the customer churn ratio using charts using ggplot2, Plotly for importing and analyzing data into grids. You will visualize tenure, monthly charges, total charges and other individual columns by using the scatter plot.
Module 5: Introduction to Statistics
  • Why do we need Statistics?, Categories of Statistics, Statistical 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 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, concepts 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 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 simple linear model, predicting 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 relationship within the data using linear predictor functions. Implementing Linear & Logistics Regression in R by building model with ‘tenure’ as dependent variable and multiple independent variables.
Module 7: Logistic Regression
  • Introduction to Logistic Regression, Logistic Regression Concepts, Linear vs Logistic regression, math behind Logistic Regression, detailed formulas, logit function and odds, Bi-variate logistic Regression, Poisson Regression, building simple “binomial” model and predicting result, confusion matrix and Accuracy, true positive rate, false positive rate, and confusion matrix for evaluating built model, threshold 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 Logistic Regression
  • Hands-on Exercise -Implementing predictive analytics by describing the data and explaining the relationship between one dependent binary variable and one or more binary variables. You will use glm() to build a model and use ‘Churn’ as the dependent variable.
Module 8: Decision Trees & Random Forest
  • What is classification and 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 Naive Bayes, Computing Probabilities, Impurity Function – Entropy, understand the concept 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, find 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’ as the dependent variable and build a Random Forest with the right number of trees, using ROCR for performance metrics.
Module 9: Unsupervised learning
  • What is Clustering & it’s Use Cases, what is K-means Clustering, what is Canopy Clustering, what is Hierarchical Clustering, introduction to Unsupervised Learning, feature extraction & clustering algorithms, k-means clustering algorithm, Theoretical aspects of k-means, and k-means process flow, K-means in R, implementing K-means on the data-set and finding the right no. of clusters using Scree-plot, hierarchical clustering & Dendogram, understand Hierarchical clustering, implement it in R and have a look at Dendograms, Principal Component Analysis, explanation of Principal Component Analysis in detail, PCA in R, implementing PCA in R.
  • 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, components of Time Series, moving average, smoothing techniques, exponential smoothing, univariate time series models, multivariate time series analysis, Arima model, Time Series in R, sentiment analysis in R (Twitter sentiment analysis), text analysis.
  • Hands-on Exercise -Analyzing time series data, sequence of measurements that follow a non-random order to identify the nature of phenomenon and to forecast the future values in the series.
Module 13: Support Vector Machine - (SVM) (self paced)
  • Introduction to Support Vector Machine (SVM), Data classification using SVM, SVM Algorithms using Separable and Inseparable cases, Linear SVM for identifying margin hyperplane.
Module 14: Naïve Bayes (self paced)
  • what is Bayes theorem, What is Naïve Bayes Classifier, Classification Workflow, How Naive Bayes classifier works, Classifier building in Scikit-learn, building a probabilistic classification model using Naïve Bayes, Zero Probability Problem.
Module 15: Text Mining (self paced)
  • Introduction to concepts 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 associated with the modeling technique of Market Basket Analysis where you will learn about loading of data, various techniques for plotting the items and running the algorithms. It includes finding out what are the items that go hand in hand and hence can be clubbed together. This is used for various real world scenarios like a supermarket shopping cart and so on.
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Hands-on Real Time Data Science Projects

Project 1
Uber Data Analysis in R Project

Uber Data Analysis through Visualisations in R. Data storytelling is an important component of Machine Learning through which companies are able to understand.

Project 2
Driver Drowsiness Detection in Python Project

The objective of this intermediate Python project is to build a drowsiness detection system that will detect that a person's eyes are closed for a few seconds.

Project 3
Chatbot Project in Python

In this Python project with source code, we are going to build a chatbot using deep learning techniques and trained on the dataset which contains categories, pattern and responses.

Project 4
Handwritten Digit Recognition Project

The aim of this project is to implement a classification algorithm to recognize handwritten digits and pattern recognition that no single classifier performs the best.

Our Best Hiring Placement Partners

ACTE Guwahati  offers arrangement openings as extra to each understudy/proficient who finished our study hall or internet preparing. A portion of our understudies are working in these organizations recorded underneath. We offers arrangement backing is probably the best assistance upon fruitful finish of any course from our institute we help the trained to land their fantasy position by giving placement opportunities.
  • We will schedule interview calls for applicants and prepare them for face-to-face contact after they have completed 70% of the Data Science training course material.
  • Work plan for the right contenders. absolutely an undertaking coordinated course, which covers the specific progress starting from the extraordinarily pressing and walk around the basic level and, thusly, it gives tremendous level of data in singular new development.
  • During the social gathering, implying this master accomplishment assertion on student continue has a huge impact and makes the constancy of understudy resume.it likewise improves it's anything but's a more broad level of work openings.
  • Our circumstance get groups together with over 600+ accomplices. Our outline specialists work with the total of our helpful understudies and firms like as HCL, Wipro, Dell, Accenture, Google, CTS, TCS, IBM, HDFC, AMAZON, PAYPAL, and others from one side.
  • We have separate applicants entryways for circumstance, here understudy will get all the get-together schedules and we brief understudy through messages.
  • We will make plans to conduct Mock Exams and Mock Interviews to find the skillful Candidate for our hiring partners.

Get Certified By MCSE: Data Management and Analytics & Industry Recognized ACTE Certificate

Acte Certification is Accredited by all major Global Companies around the world. We provide after completion of the theoretical and practical sessions to fresher's as well as corporate trainees. Our certification at Acte is accredited worldwide. It increases the value of your resume and you can attain leading job posts with the help of this certification in leading MNC's of the world. The certification is only provided after successful completion of our training and practical based projects.

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About Satisfactory Data Science Trainer

  • Our Data Science Training in Guwahati. Our mentor give a blend of class, instructor drove on the web, and E-learning decisions to ensure that competitors get changed training and advance their assumption to learn and change.
  • Our Data Science Training mentor are incredibly outfitted specialists with more than 9+ wide stretches of unsurprising position who are comprehensively seen as the best in the business and now serve for tremendous affiliations.
  • Our mentor give a blend of class, instructor drove on the web, and E-learning decisions to ensure that competitors get changed training and advance their assumption to learn and change.
  • Our trainers are industry-experts and subject specialists who have mastered on running applications providing Best Data Science Training to the applicants.
  • Trainers are also help candidates to get placed in their respective company by Employee Referral / Internal Hiring process.
  • Latest interpretation Data Science Training accounts guaranteed and Complete plan of stories like live online social events.

Data Science Course Reviews

Our ACTE Guwahati 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.

Monisha

Software Engineer

An excellent Data Science authorized training center at Guwahati. Good facilites and effective trainers in ACTE. Prompt and transparent placement process. They also provide effective counselling through sessions every month to guide candidates....

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 better Discount Price?

Call now: +91 93833 99991 and know the exciting offers available for you!
  • ACTE 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.
  • 85% percent 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
  • 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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