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Data Science Training Course in Jamshedpur

5 591 Ratings 10,847 Learners

Intellipaat’s Data Science course in Jamshedpur lets you master end-to-end concepts of Data Science, including data manipulation, analysis, and visualization, Machine Learning, Big Data, R programming, k-means clustering, statistical computing, and so on, to become a successful Data Scientist. In this Data Science training program, you will get expert guidance and lifetime access to the course material.

In collaboration with IBM
Free MS Excel Self-paced Course

Key Features

42 Hrs Instructor-led Training
28 Hrs Self-paced Videos
56 Hrs Project Work & Exercises
Flexible Schedule
24 x 7 Lifetime Support & Access
Certification and Job Assistance

Career Transitions

Mahesh Chowdary
Mahesh Chowdary
Aircraft Maintenance Engineer intellipaat-image
Data Scientist intellipaat-image
Nishchay Agrawal
Nishchay Agrawal
Fresher
Data Engineer intellipaat-image
Anil Sharma
Anil Sharma
Customer Support Executive intellipaat-image
AWS Solution Architect intellipaat-image
Herin Wilson
Herin Wilson
Process Associate intellipaat-image
AWS Solution Architect intellipaat-image
Mitali Dhar
Mitali Dhar
Senior Software Engineer intellipaat-image
Project Lead intellipaat-image
Ziyauddin Mulla
Ziyauddin Mulla
Support Executive intellipaat-image
Splunk Administrator intellipaat-image

Course Benefits

5/5 Student Satisfaction Rating
Students Transitioned for Higher Positions
Started a New Career After Completing Our Courses
Got Better Salary Hike and Promotion
Average Salary Per Year $ 16983
Associate Data Scientist
Data Scientist
Chief Data Scientist
$ 12053 Starting
$ 16983 Median
$ 50651 Experienced
Companies Hiring Data Scientist Professionals
intellipaat-image intellipaat-image
intellipaat-image intellipaat-image
And 1,000+ Global Companies

Data Science Course in Jamshedpur Overview

This Data Science training in Jamshedpur assists you to excel in the tools and applications of Data Science, such as Data Science with R, statistics, data analysis and modeling, Machine Learning algorithms, k-means clustering, logistic regression, predictive analysis, Big Data Hadoop, Deep Learning, etc., to explore the job opportunities in the domain across various industries.

What will you learn from this Data Science certification in Jamshedpur?

Our trainers will teach you the following concepts and more:

  • Data Science life cycle
  • Descriptive statistics of data analysis
  • Working with R programming
  • Machine Learning concepts and types
  • Creating decision trees
  • Data collection and data mining
  • Significance of Big Data technologies
  • Developing a random forest
  • Classification and bagging
  • Hands-on exercises and projects

Our best Data Science training in Jamshedpur is for:

  • Information Architects
  • Project Managers from any field
  • IT Developers
  • Professionals working with Big Data
  • Business Analysts
  • Data Science Aspirants
  • In terms of roles and responsibilities, a Data Scientist’s job is to gather and examine large amounts of structured and unstructured data.
  • A Data Analyst collects, processes, and executes statistical analysis on large sets of data.
  • Meanwhile, a Business Analyst examines processes, defines requirements, and delivers data-driven recommendations and reports.
  • By 2022, data-related jobs are likely to rise by 15% to 2.72 million jobs – IBM
  • An entry-level Data Scientist can earn an average pay of ₹400,000 p.a. in Jamshedpur – Indeed
  • There are nearly 4,000 jobs listed for Data Scientists in India – LinkedIn

No. There is no need of having any prior skills in Data Science to take up this course.

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With data collection, ’the sooner the better’ is the best answer. - CEO of Yahoo
Everything is going to be connected with data and mediated by softwares. - CEO of Microsoft
The world is now awash in data and we can see consumers in a lot cleaner way. - Co-founder PayPal

Skills Covered

  • R Programming
  • Exploratory Data Analysis
  • Data Manipulation
  • Data Visualization
  • Statistics 
  • Machine Learning Algorithms
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Fees

Self Paced Training

  • 28 Hrs e-learning videos
  • Lifetime Free Upgrade
  • 24 x 7 Lifetime Support & Access
$264

Online Classroom preferred

  • Everything in self-paced, plus
  • 42 Hrs of Instructor-led Training
  • 1:1 Doubt Resolution Sessions
  • Attend as many batches for Lifetime
  • Flexible Schedule
  • 29 Nov
  • SAT - SUN
  • 08:00 PM TO 11:00 PM IST (GMT +5:30)
  • 05 Dec
  • SAT - SUN
  • 08:00 PM TO 11:00 PM IST (GMT +5:30)
  • 08 Dec
  • TUE - FRI
  • 07:00 AM TO 09:00 AM IST (GMT +5:30)
  • 13 Dec
  • SAT - SUN
  • 08:00 PM TO 11:00 PM IST (GMT +5:30)
$ 499 $399 10% OFF Expires in

Corporate Training

  • Customized Learning
  • Enterprise-grade Learning Management System (LMS)
  • 24x7 Support
  • Strong Reporting

Data Science Course Content

Module 01 - Introduction to Data Science with R Preview

1.1 What is Data Science?
1.2 Significance of Data Science in today’s data-driven world, its applications of, , lifecycle, and its components
1.3 Introduction to R programming and RStudio

Hands-on Exercise:

1. Installation of RStudio
2. Implementing simple mathematical operations and logic using R operators, loops, if statements, and switch cases

Module 02 - Data Exploration

2.1 Introduction to data exploration
2.2 Importing and exporting data to/from external sources
2.3 What are data exploratory analysis and data importing?
2.4 DataFrames, working with them, accessing individual elements, vectors, factors, operators, in-built functions, conditional and looping statements, user-defined functions, and data types

Hands-on Exercise:

1. Accessing individual elements of customer churn data
2. Modifying and extracting results from the dataset using user-defined functions in R

3.1 Need for data manipulation
3.2 Introduction to the dplyr package
3.3 Selecting one or more columns with select(), filtering records on the basis of a condition with filter(), adding new columns with mutate(), sampling, and counting
3.4 Combining different functions with the pipe operator and implementing SQL-like operations with sqldf

Hands-on Exercise:

1. Implementing dplyr
2. Performing various operations for manipulating data and storing it

4.1 Introduction to visualization
4.2 Different types of graphs, the grammar of graphics, the ggplot2 package, categorical distribution with geom_bar(), numerical distribution with geom_hist(), building frequency polygons with geom_freqpoly(), and making a scatterplot with geom_pont()
4.3 Multivariate analysis with geom_boxplot
4.4 Univariate analysis with a barplot, a histogram and a density plot, and multivariate distribution
4.5 Creating barplots for categorical variables using geom_bar(), and adding themes with the theme() layer
4.6 Visualization with plotly, frequency plots with geom_freqpoly(), multivariate distribution with scatter plots and smooth lines, continuous distribution vs categorical distribution with box-plots, and sub grouping plots
4.7 Working with co-ordinates and themes to make graphs more presentable, understanding plotly and various plots, and visualization with ggvis
4.8 Geographic visualization with ggmap() and building web applications with shinyR

Hands-on Exercise:

1. Creating data visualization to understand the customer churn ratio using ggplot2 charts
2. Using plotly for importing and analyzing data
3. Visualizing tenure, monthly charges, total charges, and other individual columns using a scatter plot

5.1 Why do we need statistics?
5.2 Categories of statistics, statistical terminology, types of data, measures of central tendency, and measures of spread
5.3 Correlation and covariance, standardization and normalization, probability and the types, hypothesis testing, chi-square testing, ANOVA, normal distribution, and binary distribution

Hands-on Exercise:

1. Building a statistical analysis model that uses quantification, representations, and experimental data
2. Reviewing, analyzing, and drawing conclusions from the data

6.1 Introduction to Machine Learning
6.2 Introduction to linear regression, predictive modeling, simple linear regression vs multiple linear regression, concepts, formulas, assumptions, and residuals in Linear Regression, and building a simple linear model
6.3 Predicting results and finding the p-value and an introduction to logistic regression
6.4 Comparing linear regression with logistics regression and bivariate logistic regression with multivariate logistic regression
6.5 Confusion matrix the accuracy of a model, understanding the fit of the model, threshold evaluation with ROCR, and using qqnorm() and qqline()
6.6 Understanding the summary results with null hypothesis, F-statistic, and
building linear models with multiple independent variables

Hands-on Exercise:

1. Modeling the relationship within data using linear predictor functions
2. Implementing linear and logistics regression in R by building a model with ‘tenure’ as the dependent variable

7.1 Introduction to logistic regression
7.2 Logistic regression concepts, linear vs logistic regression, and math behind logistic regression
7.3 Detailed formulas, logit function and odds, bivariate logistic regression, and Poisson regression
7.4 Building a simple binomial model and predicting the result, making a confusion matrix for evaluating the accuracy, true positive rate, false positive rate, and threshold evaluation with ROCR
7.5 Finding out the right threshold by building the ROC plot, cross validation, multivariate logistic regression, and building logistic models with multiple independent variables
7.6 Real-life applications of logistic regression

Hands-on Exercise:

1. Implementing predictive analytics by describing data
2. Explaining the relationship between one dependent binary variable and one or more binary variables
3. Using glm() to build a model, with ‘Churn’ as the dependent variable

8.1 What is classification? Different classification techniques
8.2 Introduction to decision trees
8.3 Algorithm for decision tree induction and building a decision tree in R
8.4 Confusion matrix and regression trees vs classification trees
8.5 Introduction to bagging
8.6 Random forest and implementing it in R
8.7 What is Naive Bayes? Computing probabilities
8.8 Understanding the concepts of Impurity function, Entropy, Gini index, and Information gain for the right split of node
8.9 Overfitting, pruning, pre-pruning, post-pruning, and cost-complexity pruning, pruning a decision tree and predicting values, finding out the right number of trees, and evaluating performance metrics

Hands-on Exercise:

1. Implementing random forest for both regression and classification problems
2. Building a tree, pruning it using ‘churn’ as the dependent variable, and building a random forest with the right number of trees
3. Using ROCR for performance metrics

9.1 What is Clustering? Its use cases
9.2 what is k-means clustering? What is canopy clustering?
9.3 What is hierarchical clustering?
9.4 Introduction to unsupervised learning
9.5 Feature extraction, clustering algorithms, and the k-means clustering algorithm
9.6 Theoretical aspects of k-means, k-means process flow, k-means in R, implementing k-means, and finding out the right number of clusters using a scree plot
9.7 Dendograms, understanding hierarchical clustering, and implementing it in R
9.8 Explanation of Principal Component Analysis (PCA) in detail and implementing PCA in R

Hands-on Exercise:

1. Deploying unsupervised learning with R to achieve clustering and dimensionality reduction
2. K-means clustering for visualizing and interpreting results for the customer churn data

10.1 Introduction to association rule mining and MBA
10.2 Measures of association rule mining: Support, confidence, lift, and apriori algorithm, and implementing them in R
10.3 Introduction to recommendation engines
10.4 User-based collaborative filtering and item-based collaborative filtering, and implementing a recommendation engine in R
10.5 Recommendation engine use cases

Hands-on Exercise:

1. Deploying association analysis as a rule-based Machine Learning method
2. Identifying strong rules discovered in databases with measures based on interesting discoveries

Self-paced Course Content

11.1 Introducing Artificial Intelligence and Deep Learning
11.2 What is an artificial neural network? TensorFlow: The computational framework for building AI models
11.3 Fundamentals of building ANN using TensorFlow and working with TensorFlow in R

12.1 What is a time series? The techniques, applications, and components of time series
12.2 Moving average, smoothing techniques, and exponential smoothing
12.3 Univariate time series models and multivariate time series analysis
12.4 ARIMA model
12.5 Time series in R, sentiment analysis in R (Twitter sentiment analysis), and text analysis

Hands-on Exercise:

1. Analyzing time series data
2. Analyzing the sequence of measurements that follow a non-random order to identify the nature of phenomenon and forecast the future values in the series

13.1 Introduction to Support Vector Machine (SVM)
13.2 Data classification using SVM
13.3 SVM algorithms using separable and inseparable cases
13.4 Linear SVM for identifying margin hyperplane

14.1 What is the Bayes theorem?
14.2 What is Naïve Bayes Classifier?
14.3 Classification Workflow
14.4 How Naive Bayes classifier works and classifier building in Scikit-Learn
14.5 Building a probabilistic classification model using Naïve Bayes and the zero probability problem

15.1 Introduction to the concepts of text mining
15.2 Text mining use cases and understanding and manipulating the text with ‘tm’ and ‘stringR’
15.3 Text mining algorithms and the quantification of the text
15.4 TF-IDF and after TF-IDF

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42
Hours of Instructor-led Training
28
Hours of Self-paced Videos
7
Guided Projects to Practice
24/7
Lifetime Technical Support

Free Career Counselling

Data Science Projects Covered

Market Basket Analysis

This is an inventory management project where you will find the trends in the data that will help the company to increase sales. In this project, you will be implementing association rule mining, data extraction, and data manipulation for the Market Basket Analysis.

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Credit Card Fraud Detection

The project consists of data analysis for various parameters of banking dataset. You will be using a V7 predictor, V4 predictor for analysis, and data visualization for finding the probability of occurrence of fraudulent activities.

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Loan Approval Prediction

In this project, you will use the banking dataset for data analysis, data cleaning, data preprocessing, and data visualization. You will implement algorithms such as Principal Component Analysis and Naive Bayes after data analysis to predict the approval rate of a loan using various parameters.

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Netflix Recommendation System

Implement exploratory data analysis, data manipulation, and visualization to understand and find the trends in the Netflix dataset. You will use various Machine Learning algorithms such as association rule mining, classification algorithms, and many more to create movie recommendation systems for viewers using Netflix dataset.

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Case Study 1: Introduction to R Programming

In this project, you need to work with several operators involved in R programming including relational operators, arithmetic operators, and logical operators for various organizational needs.

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Case Study 2: Solving Customer Churn Using Data Exploration

Use data exploration in order to understand what needs to be done to make reductions in customer churn. In this project, you will be required to extract individual columns, use loops to work on repetitive operations, and create and implement filters for data manipulation.

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Case Study 3: Creating Data Structures in R

Implement numerous data structures for numerous possible scenarios. This project requires you to create and use vectors. Further, you need to build and use metrics, utilize arrays for storing those metrics, and have knowledge of lists.

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Case Study 4: Implementing SVD in R

Utilize the dataset of MovieLens to analyze and understand single value decomposition and its use in R programming. Further, in this project, you must build custom recommended movie sets for all users, develop a collaborative filtering model based on the users, and for a movie recommendation, you must create realRatingMatrix.

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Case Study 5: Time Series Analysis

This project required you to perform TSA and understand ARIMA and its concepts with respect to a given scenario. Here, you will use the R programming language, ARIMA model, time series analysis, and data visualization. So, you must understand how to build an ARIMA model and fit it, find optimal parameters by plotting PACF charts, and perform various analyses to predict values.

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Data Science Certification in Jamshedpur

Certification

What should I do to unlock my Intellipaat certificate?

You can unlock your Intellipaat certificate in three simple steps:

  1. Complete the Data Science course in Jamshedpur along with the given assignments
  2. Work on several industry-based projects and execute the same successfully
  3. Pass the certification exam

The Data Science certification you receive from Intellipaat is valid for your entire lifetime and is recognized by top organizations across the world.

On successfully completing the Data Science course and passing the Data Science training certification exam, you will receive Intellipaat’s Data Science certificate via our Learning Management System. You can download or share your certificate from this through either email or LinkedIn.

Yes, the Data Science Certification given by Intellipaat is industry-recognized. Besides, due to our affiliation with IBM, you will also receive a Data Science course completion certificate from IBM.

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Data Science Training Review

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Mr Yoga

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John Chioles

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Ritesh

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Dileep & Ajay

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Sagar

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Ashok

Bhanukumar Muppalla

Software Engineer at DXC Technology

Data Science training online includes a lot of constituent components, and Intellipaat’s course provided the most comprehensive and in-depth learning experience. I really liked the real-world projects in Data Science, which helped me take on a Data Science role in a reputed company much easier.

Adarsh Vijay

Student at RTU

Excellent course, I found Intellipaat's training team to be talented in their respective domain. My training was very good as it helped me in upgrading my skills, which proved to be a turning point in my career. Intellipaat's mentor was well-experienced and his teaching method was really great. This online Data Science course in Jamshedpur helped me to get deep understanding of the technology. Moreover, the excercise and projects provided as a part of the course made me to get hands-on experience. Besides, the online support team was very helpful and offered their assistance as and when I needed via calls and emails.

Kevin K Wada

Oracle Developer at Free Agent

Thank you very much for your top-class service. A special mention should be made for your patience in listening to my queries and giving me a solution, which was exactly what I was looking for. I am giving you a 10 on 10!

Giri Karnal

Professional

I had taken the Data Science master’s program, which is a combo of SAS, R programming language, and Apache Mahout. Since there are so many technologies involved in training courses, getting our query resolved at the right time becomes the most important aspect. But with Intellipaat, there was no such problem as all my queries were resolved in less than 24 hours.

Nitesh Kumar Dash

Professional

Intellipaat’s Data Science training videos really made me excited about studying Data Science. They were so elaborate and so professionally created. I could learn Data Science from the comfort of my home, thanks to those learner-friendly videos. I am grateful to Intellipaat!

Vikrant Singh

Big Data Analytics

It was a wonderful experience learning Data Science from Intellipaat. The trainers were hands-on and provided real-time scenarios. According to me, for learning cutting-edge technologies, Intellipaat is the right place.

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Bharat Rathore

Expert in Data Analysis & Data Science

I really appreciate the quality of the material and the content of this Data Science certification course!! Thanks to all Intellipaat team!

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Swetha Pandit

Big Data Developer at Accenture

Intellipaat’s Data scientist courses online are well structured and taught by recognized professionals. They help one learn Data Science fast. I have found their videos to be of excellent quality. Thanks a lot!

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Kavita Mehra

Hadoop Developer at TCS

The classes were highly interactive and also practical oriented. The office staff was cordial. Every teaching session was recorded each day and was put online. The trainer was very patient and giving hints to solve all the questions posed to him.

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Sulekha Roy

Sr. Data scientist at Hewlett Packard Enterprise

I think this Data Science online course is a good way to start learning Data Science and make a career in it. Instructors are reasonably good. Also, projects were interesting and relevant to the current industry trends.

Prasil das

SEO Specialist at Jain

Awesome response to queries! Thanking you for resolving all my issues and helping me learn tough concepts through highly insightful videos.

Ramyasri Mandepudi

Recruiter at Goodwill Technologies

My issue was resolved, thanks to the deep domain expertise of the trainer. I am greatly indebted to Intellipaat for assigning such knowledgeable and experienced trainers for this Data Science certification course in Jamshedpur. It really makes a difference to the learner.

Shreyash Limbhetwala

Technical Delivery Lead

I want to talk about the rich LMS that Intellipaat’s Data Science program offered. The extensive set of PPTs, PDFs, and other related material were of the highest quality, and due to this, my learning with Intellipaat was excellent. I could clear the Cloudera Data Scientist certification exam in the first attempt.

Varsha Tyagi

Cloud Architect at Huawei Technologies

I was searching for Data Science courses online, and I landed on Intellipaat’s. It was really good in terms of content. The sample video provided was also awesome, which impressed me a lot while deciding to take up the course. Moreover, the trainer’s command over the technology was great. The support team was really good. Really appreciable!

Sudipto

PS Consultant at Genesys

Intellipaat’s Data Scientist training in Jamshedpur is outstanding. The trainer is an experienced Data Scientist who has a good hold on the subject. Now, I’m an expert in Data Science, and I am already placed in a reputed firm.

Thejaswar Reddy

Programmer Analyst

I signed up for Intellipaat's Data science course in Jamshedpur when i learned that it is a great place for learning new technologies. The training material offered by them is extremely useful. I chose to opt for the weekend classes as per my convenience . The trainer of this course was really good and helped me learn the subject well. Besides, the online support team helped me to resolve any technical issue I had.

Sachin Bhatia

QA Engineer at NOKIA

Best training program, My decision to learn from Intellipaat was the best to upgrade my career. This course gave thorough understanding of the subject. I recently completed the course and experienced good quality teaching offered by intellipaat.

Shailja Sehgal

Software Engineer

I had one of the best learning experience at Intellipaat. The projects, assignments, and course content were awesome. I would like to enroll in other courses that are offered by intellipaat.

Haris Naeem

Proven Data Analyst

Great Data science course, I had a really good experience from this platform, they trained me well. I completed my Python training with this institute where they provided extremely good training and good support too. Further, the course instructors were really well-educated who explained all the topics with great enthu.

Himanshu Oberoi

Associate R&D Manager at Stryker

Great teaching team, All trainers and support team were very helpful and easily reachable. The course content of this program covers all the topics, from basic to advanced modules.

Karthikeyan Ganesan

Extremely grateful to Intellipaat The explanation of concepts and topics were simple and comprehensive. Moreover, the training material was relevant, up to date, and easily understandable. They have a great support team.

Shamirna Micheal

Associate Professional Application Delivery at CSC

Genuine platform for learning. I finished my Data Science course in Jamshedpur recently from Intellipaat. The trainers were excellent in teaching. Further, the course was well-structured and the lectures are really flexible. I am currently working and I still get the time to complete the course within the given time and it is mainly possible because of the 24*7 support system and the clarity of their teaching. Besides, they make us do hands-on exercises and project, making us gain in-depth knowledge of the concepts. I strongly recommend others to take this course as well.

Remona Yacoop

Teacher at VIBGYOR Group of Schools

Great training program. It was an amazing experience learning from Intellipaat. During this covid 19, it was extremely fruitful to learn and spend ample amount of time as a part of this institute. Intellipaat has also provided great support during the course. Besides, the instructor was very supportive in the course, guidance was also given to complete assignment and project which was very helpful.

Afsana Zaman

Data Scientist

Great experience. The support team has always been supportive and efficient to help us. The collaboration of practical with theoretical knowledge makes intellipaat highly suitable for those who wants to upgrade their career.

Data Science Training in Jamshedpur FAQ’s

Why should I learn Data Science course from Intellipaat?

Intellipaat offers exclusive online Data Science course in Jamshedpur for professionals who want to expand their knowledge base and start a career in this field. There are many reasons for choosing Intellipaat:

  • A personal mentor to track your progress
  • Immersive online instructor-led sessions conducted by SMEs
  • Extensive LMS, allowing you to view recorded sessions within 3 hours
  • Real-time exercises, assignments, and projects
  • 24/7 learning support
  • Large community of like-minded learners
  • Industry-recognized Intellipaat badge
  • Personalized job support

At Intellipaat, you can enroll in either the instructor-led online training or self-paced training. Apart from this, Intellipaat also offers corporate training for organizations to upskill their workforce. All trainers at Intellipaat have 12+ years of relevant industry experience, and they have been actively working as consultants in the same domain, which has made them subject matter experts. Go through the sample videos to check the quality of our trainers.

Intellipaat is offering the 24/7 query resolution, and you can raise a ticket with the dedicated support team at anytime. You can avail of the email support for all your queries. If your query does not get resolved through email, we can also arrange one-on-one sessions with our trainers.

You would be glad to know that you can contact Intellipaat support even after the completion of the training. We also do not put a limit on the number of tickets you can raise for query resolution and doubt clearance.

Intellipaat is offering you the most updated, relevant, and high-value real-world projects as part of the training program. This way, you can implement the learning that you have acquired in real-world industry setup. All training comes with multiple projects that thoroughly test your skills, learning, and practical knowledge, making you completely industry-ready.

You will work on highly exciting projects in the domains of high technology, ecommerce, marketing, sales, networking, banking, insurance, etc. After completing the projects successfully, your skills will be equal to 6 months of rigorous industry experience.

Intellipaat actively provides placement assistance to all learners who have successfully completed the training. For this, we are exclusively tied-up with over 80 top MNCs from around the world. This way, you can be placed in outstanding organizations such as Sony, Ericsson, TCS, Mu Sigma, Standard Chartered, Cognizant, and Cisco, among other equally great enterprises. We also help you with the job interview and résumé preparation as well.

You can definitely make the switch from self-paced training to online instructor-led training by simply paying the extra amount. You can join the very next batch, which will be duly notified to you.

Once you complete Intellipaat’s training program, working on real-world projects, quizzes, and assignments and scoring at least 60 percent marks in the qualifying exam, you will be awarded Intellipaat’s course completion certificate. This certificate is very well recognized in Intellipaat-affiliated organizations, including over 80 top MNCs from around the world and some of the Fortune 500companies.

Apparently, no. Our job assistance program is aimed at helping you land in your dream job. It offers a potential opportunity for you to explore various competitive openings in the corporate world and find a well-paid job, matching your profile. The final decision on hiring will always be based on your performance in the interview and the requirements of the recruiter.

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