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Data Analyst Course in Kolkata

84,674 Ratings

Rated #1 Data Analyst Course by Economic Times

This data analyst course in Kolkata gives you the opportunity to learn from experienced industry professionals. Master skills like data wrangling with SQL, statistics, and machine learning using R Programming, Power BI, etc. Upon completion of this program, you will get certification from iHUB IIT Roorkee (An Innovation Hub of IIT Roorkee), and become a data analyst with job assistance.

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Key Features

50+ Live sessions across 7 months
218 Hrs of Self-paced tutorial videos
Get 200 Hrs of Project & Exercises
Learn from industry professionals and IIT Faculty
1-on-1 sessions with industry mentors
LinkedIn profile review and resume assistance
24*7 Support
No-cost EMI Option
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Data Analyst Course in Kolkata Overview

The data analyst course in Kolkata offers thorough coverage of essential topics, including time series analysis, correlation, forecasting, autoregressive models, and other valuable subjects, by the end of the program.

What will you cover in this data analytics course in Kolkata?

In this online data analyst course in Kolkata , you will gain in-depth knowledge of the following topics:

  • Excel
  • Data wrangling with SQL
  • Presto (SQL Interface)
  • Intro to Data Science and Statistics
  • Business Problem Solving across different domains
  • Optimization techniques
  • Predictive Modelling
  • Time- Series Forecasting
  • Feature Engineering
  • Advanced Machine Learning Techniques
  • Data Science Execution Strategy
  • Business Case Studies
  • Power BI
  • Data Science Capstone Project

You do not need to have any prior skills to take up this data analyst course in Kolkata. However, having some knowledge of statistics, probability, and data analysis before signing up for this course can be helpful.

Following are a few of the reasons why you should become a data analyst in Kolkata:

  • Data analytics jobs in Kolkata are expected to grow by 15% in 2023, according to a recent report by IBM.
  • There are currently over 100+ new job openings for data analysts in Kolkata on Indeed.com.

So, enroll in the best data analytics course in Kolkata and land your dream job as a data analyst.

According to Glassdoor, the average annual salary for a data analyst in Kolkata in 2024 is ₹7 Lakh . The salary range for data analysts in Kolkata is ₹4 Lakh to ₹9 Lakh per annum.

Here are a couple of differences between data scientists, data analysts, and business analysts:

  • In terms of skill set, data analysts analyze the business requirements, while business analysts analyze the historical data, and data scientists make decisions based on the given data
  • Data analysts perform the complete life-cycle of data analysis, whereas business analysts implement, build, analyze, and report the capabilities of the business. Data scientists, on the other hand, perform statistical analysis to build machine learning systems
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Career Transition

55% Average Salary Hike

$1,22,000 Highest Salary

10000+ Career Transitions

300+ Hiring Partners

Career Transition Handbook

*Past record is no guarantee of future job prospects

Meet the Data Analytics Mentors

Dr.-Balasubramanian-R

Dr. Balasubramanian R

Professor at IIT Roorkee

Dr. Balasubramanian is a Professor at IIT Roorkee. He completed his PhD from IIT Madras in Mathematics and Computer Science and has 20 years of experience.

Sushanta-Karmakar

Dr. Sushanta Karmakar

Associate Professor at IIT Guwahati

Dr. Sushanta Karmakar is an Associate Professor at IIT Guwahati. He received his Ph.D. from IIT Kharagpur in the Computer Science and Engineering department and has over 15 years of experience.

Mr.-Rupesh-Nasre

Rupesh Nasre

Associate Professor at IIT Madras

Rupesh Nasre works as an Associate Professor in the CSE Department at IIT Madras. He holds a Ph.D. from IISc Bangalore and a Post-Doctoral Fellowship from the University of Texas at Austin.

Dr.-Narendra-S.-Chaudhari

Dr. Narendra S. Chaudhari

Professor at IIT Indore

Dr. Narendra Chaudhari, Professor of Computer Science and Engineering at IIT Indore, Dr. Narendra Chaudhari, a Professor at IIT Indore, specializes in network security, mobile computing, and machine learning. He holds a Ph.D. from IIT Bombay and has previously served as the Director of VNIT Nagpur and Vice Chancellor of Uttarakhand Technical University​Read More

Chandresh-Maurya

Chandresh Kumar Maurya

Professor at IIT Indore

Chandresh Maurya, a dynamic professor at IIT Indore with over 12 years of experience, excels in driving innovation and growth through his expertise in multimodal data processing, AI, ML, and DL. He has a proven track record of leading cross-functional teams and managing complex projects to deliver impactful solutions. His strategic vision and ability to tackle challenges have consistently enhanced operational efficiency and advanced research in Speech and NLP.Read More

Muthusamy-Manigandan

Muthusamy Manigandan

Data Science Consultant, Ex-Apple

He comes with more than 16 years of experience and worked with top MNCs like Apple, Amazon, etc.

Dr.Surya-Prakash

Dr. Surya Prakash

Associate Professor Department of Computer Science at IIT Indore

Dr. Surya Prakash, Associate Professor of Computer Science at IIT Indore, holds a B.Tech from IIT Kanpur, a Master’s from IIT Madras, and PhD from IIT Kanpur in Computer Science and Data Analytics with around 12 years of experience.

Dr.Vivek_

Dr. Vivek Kanhangad

Professor Department of Electrical Engineering at IIT Indore

Dr. Vivek Kanhangad did his Ph.D from Hong Kong PolyU. He specializes in computer vision, data analytics, pattern recognition, biometrics, and biomedical applications.

Birendar

Birendra Kumar Sahu

Head of Data Engineering and Science at Razorpay

He has 15+ yrs of IT experience and currently working as CTO at Razorpay. He has contributed to 85 intellectual disclosure reports, 4 USA patents, and a lot of research papers.

Suman

Suman Mukhopadhyay

Senior Director & Head of Technology Infrastructure / Cloud and Data Analytics at EdgeVerve

He has 23 yrs of experience in IT and worked at top MNCs like AT&T, Yahoo, Walmart, etc. He has managed multiple large-sized teams and multiple Data Science & AI projects.

Shajee

Shajee Pulukkool

Head - Data & Analytics at Rapyder Cloud Solutions

Shajee Pulukkool is working as the head of Data & Analytics. He comes with 22+ years of experience in software design & solutions.

What are the different job roles that I can apply for after this course?

Data Analyst

Data Analysts perform the entire life-cycle of data analysis, create reports and dashboards, identify trends, and monitor KPI metrics.

Data Scientist

A data scientist is responsible for performing statistical analysis to build machine learning systems statistical modeling to visualize insights and develop complex models from large datasets.

Data Analytics Specialist

A data analytics specialist collects, organizes, interprets, and summarizes numerical data to provide usable information.

Visualization and Reporting Analyst

Create data visualizations, such as reports, graphs, presentations, and dashboards, that are eye-catching, interactive, and easy to understand.

Business Intelligence Analyst

Identify, develop, and execute business analysis techniques to allow the team to make essential business decisions.

Business Analyst

Produce detailed reports and dashboards of high quality to give intuitive presentations.

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11+ Skills to Master

Proficient in SQL

Knowledge in Data Wrangling Techniques

Analyzing Complex Datasets

Predictive Models and Algorithms

Skilled in Data Visualization Techniques

Time Series Analysis and Forecasting

Strong Foundation in Machine Learning

Data Modeling and Reporting in Power BI

Expertise in Advanced Statistics

Data Mining Techniques

Statistical Computing

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Tools to Master

Adv-Excel SQL Power-BI-1 Presto python Knime
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Data Analytics Course Fees in Kolkata

Online Classroom Preferred

  • Everything in Self-Paced Learning, plus
  • 50+ Live sessions across 7 months of Instructor-led Training
  • One to one doubt resolution sessions
  • Attend as many batches as you want for Lifetime
  • Job Assistance
Weekend (Sat-Sun)

16 Nov 2024 08:00 PM - 11:00 PM
Weekend (Sat-Sun)

17 Nov 2024 10:00 AM - 01:00 PM
$1,492 10% OFF Expires in

Corporate Training

  • Customized Learning
  • Enterprise Grade Learning Management System (LMS)
  • 24x7 Support
  • Enterprise Grade Reporting

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Course Curriculum

Live Course Industry Expert Academic Faculty

Getting Started with Foundations of Data Analytics

Diving into Structured Query Language (SQL) for Data Management

Preview
  • Gain a basic understanding of SQL, including the Entity Relationship Model (ERM) and database normalization concepts
  • Elaborate SQL operators and demonstrate operations such as joins and subqueries
  • Learn how to use stored procedures, views, and SQL functions to manipulate and retrieve data efficiently
  • Explain SQL optimization strategies to improve performance and manage database concurrency to maintain data integrity, consistency, and isolation
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  • Exploring the basics of Python programming and how to set up IDEs. Also, understand the fundamental concepts of Python, such as syntax, data types, operators, and control structures
  • Grasping the Object-Oriented Programming (OOP) concepts, including classes, objects, inheritance, and polymorphism
  • Acquire practical experience with data manipulation using Python libraries such as NumPy and Pandas and learn to visualize data
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  • Learn the concepts of Descriptive Statistics, covering measures of Central Tendency, Dispersion, and Data Visualization Techniques, and understanding the application of probability for decision-making and statistical modeling
  • Dive into Inferential Advanced Statistics, including hypothesis testing and confidence intervals
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Learn Machine Learning Algorithms and Advanced Analytics Techniques

  • Understanding Fundamental of Machine Learning Concepts: Supervised and Unsupervised Learning, Model Evaluation, Clustering algorithms, and Feature Engineering
  • Learn Regression and its types (linear, logistic, and polynomial regression)
  • Explore Classification Algorithms, covering Decision Trees, Support Vector Machines, and Neural Networks
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  • Learn how to develop Classification reports using metrics such as Precision, Recall, Accuracy, Macro average, and Weighted Average
  • Describe how to Use the Confusion Matrix for Model Evaluation and Monitoring
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  • Performing time series data analysis, gathering insights and practical forecasting solutions using time series forecasting
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Implementing Real-world Business Applications, Case Studies, and Capstone Projects

  • Grasp different business domains such as finance, marketing, retail, and supply chain and articulate their distinct functions
  • Gain knowledge about formulating hypotheses for numerous business problems on samples and populations
  • Study about exploratory data analysis (EDA) and how it facilitates the foolproof production of actionable insights
  • Study how to narrate business problems and solutions in a simple, relatable format that makes them easier to understand, grasp, and recall
  • Develop actionable insights from raw, unstructured data to deploy real-world business solutions
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  • Define the problem statement and project objectives to contrast the scope of the data analytics capstone project. Alongside, build an approach to solving the problem by implementing optimal solutions using data analysis and modeling techniques
  • Use evaluation metrics and actionable insights to assess the performance of the optimal solutions
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  • In this case study on Customer churn, you will be using predictive modeling to find the causes of customer attrition to enhance customer retention
  • This case study on sales forecasting uses statistical methods and predictive analytics. It implements historical data and statistical techniques to predict future sales trends for better decision-making
  • Using Census Data for Demographic Insights, this case study analyzes demographic data to guide product development and targeted marketing strategies
  • This case study on predictive modeling focuses on real-world scenarios to improve decision-making and operational efficiency
  • This case study on HR Analytics uses workforce data to forecast turnover and improve recruitment and performance tactics
  • This case study on dimensionality reduction techniques illustrates the use of methods such as PCA to streamline datasets, improving model performance and efficiency
  • In this housing price prediction case study, implement statistical methods to predict real estate prices based on affecting factors
  • This case study on customer segmentation focuses on finding various customer segments for customized marketing and better experiences
  • In this inventory management case study, you will be using analytics to optimize inventory stocks, reduce capex and opex, and ensure product availability
  • In this case study on disease prediction, you will be implementing machine learning on patient data to analyze disease occurrence and take the necessary steps
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Elective

  • Mastering Excel For Data Analytics, Visualization, and VBA macros for automation
  • Explore the methods for ensuring data and file security
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  • Demonstrate Data Visualization and Analytics with Power BI for Managing Reports and Dashboards
  • Explore real-time applications of DAX in developing reports and dashboards
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  • Learning Job Search Strategies to establish networking and interview skills
  • Learn how to build an effective resume and manage a LinkedIn profile
  • Interview Preparation and Mock Interview Sessions Led by Industry Professionals
  • Placement opportunities with 400+ hiring partners upon passing the Placement Readiness Test (PRT)
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Project Work

Projects will be a part of your Data Analyst program to consolidate your learning. It will ensure that you have real-world experience in Data Analytics.

Predicting a Flower's Class Using Petal Data

This project will help you predict a flower’s class. By analyzing the data about the petals and their dimensions, we will train a machine-learning model that can accurately predict a flower class by analyzing each petal.

Deploying Data Analytics on Census Dataset

The project uses machine learning techniques, such as supervised and unsupervised algorithms, to analyze and predict whether an individual's annual income is more than INR 50,000 or less based on various input parameters.

Model for Credit Card Fraud Detection

The project will develop a model that will assist in detecting credit card fraud by applying machine learning algorithms, such as supervised, unsupervised, reinforcement learning techniques, neural networks, and random forests.

Identifying Factors in Telecom to Opt for the Pre-paid Model

This project aims to analyze the factors that have the maximum impact on the preferences of pre-paid billing types and identify the highly correlated variables of these impacting factors.

Pokemon Analysis

Choose a Pokemon whose primary type is “grass" and whose secondary type is “poison” with the maximum speed. Using machine learning and data analysis techniques, develop a model that predicts whether the selected Pokemon is legendary or not.

Stock Market Price Analysis

This project will use machine learning to develop a predictive data model for predicting future stock prices. It will also use k-nearest neighbors and linear regression algorithms to analyze current stock market trends.

Comment Identity and Classification

Work on the Yelp comment dataset to deploy a multi-headed model to identify and categorize toxic comments (obscenity, insults, threats, etc.). It must enable the user to find and choose the necessary type.

Book Recommender

This project aims to develop a book recommendation engine based on an individual's past reading and buying history.

Loan Approval Prediction

The project seeks to determine the variables correlated with impacting factors to analyze the likelihood of the loan application being approved or denied. Methods like random forests, decision trees, and logistic regression are used to forecast it.

Netflix Prize Dataset using Recommendation Engine

The recommendation engine is developed using the Netflix prize dataset. It collects data about a user from numerous sources, anticipates their requirement, and recommends movies based on the user’s behavior and choices made earlier.

Career Services

Career Services
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Offering Placement Assistance
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Get an Exclusive access to Intellipaat Job portal
Guide Mock Interview Preparation
1-on-1 Sessions for Career Mentoring
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Offering Career-Oriented Sessions
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Guide for Resume & LinkedIn Profile Building
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Data Analytics Certification in Kolkata

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Our data analyst course in Kolkata are created by experts from top MNCs for professionals to get the top jobs in the best organizations. Further, this data analytics online course includes real-time projects and case studies that are highly valuable in the corporate world.

You will receive the data analytics certification from Intellipaat and iHUB IIT Roorkee (An Innovation Hub of IIT Roorkee). Along with that, you will also be able to clear the following certifications:

  • SQL Certification
  • Power BI Certification

Data Analyst Training in Kolkata Reviews

( 84,674 )
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Ramyasri Mandepudi

Recruiter at Goodwill Technologies

The trainers are amazing and the lectures included thorough understanding of all the concepts. Real life examples and the career mentoring sessions are useful at every step.

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Kevin K Wada

Oracle Developer at Free Agent

The course is thorough, well-structured and provides a comprehensive learning in the Data Analytics field. Also, the practice tests and projects helped me in building strong skills in analytics.

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Sampson Basoah

Tableau Developer

The course content is updated, industry-relevant and taught in-depth by the instructors. The instructors at Intellipaat are well-experienced. The Data Analytics course has helped me put the skills into practice

karthi814

Karthikeyan Ganesan

Extremely grateful to Intellipaat. The explanation of topics and concepts were simple and comprehensive. Also, the content was up-to-date and understandable, and the support team was equally helpful.

remona-yacoop

Remona Yacoop

Teacher at VIBGYOR Group of Schools

Great experience learning from Intellipaat. In COVID, the Data Analytics courses proved to be helpful as it provided flexibility in learning. The trainers provided guidance in completing projects and assignments.

Sagnik-Biswas

Sagnik Biswas

Programming Analyst at Cognizant

It was a great learning experience offered by the trainers of Intellipaat. They provided proper explanation, direction and with the included practice tests you can master the course.

Prachi-Mohan

Prachi Mohan

Business Analyst at Enterprio

The training provides enough study material, hands-on assignments, and projects that help learners gain more knowledge and required skills. The trainers and support team were very co-operative.

Mudit-Aggarwal-1

Mudit Aggarwal

Process developer at Genpact

I am pursuing this program currently and the learning has been great. Trainers are professional and use real industry based scenarios to explain the topics. Also, the live classes are interactive.

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Jijeemandati

Software Engineer at Akebono Soft Technologies

I found this training as one of the best in the market. The live classes are much more convenient to attend. The support team is prompt and the training content is Intellipaat’s key feature.

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Data Analyst Course in Kolkata FAQs

What do you mean by data analysis?

Data analysis is the process of data cleaning, transformation, and reporting carried out to generate valuable information that can enable business decision-making.

To become a data analyst in Kolkata, you should meet the following criteria:

  • Gain a Bachelor’s or Master’s degree in statistics computer science, or in the IT field
  • Acquire the skills required to become a data analyst
  • Gain experience in the data analytics field
  • Consider getting a certification from a reputed institute

You can attain all the necessary skills, gain real-time experience, and receive a certification with the help of Intellipaat’s Data Science with Python.

To become a data analyst, you must have the following qualifications:

  • For entry-level jobs, you need to have a Bachelor’s degree
  • For jobs at a higher-level position, you must have a Master’s degree
  • You should have a degree in the field of statistics, mathematics, computer science, or other similar domains.

Data Analysis: Data analysis is a subset of the broader field of data analytics. Data analysis consists of specific actions such as data cleaning, transformation, modeling, and questioning to help find useful information from a single and already prepared set of data.

Data Analytics: Data analytics involves the process of discovering, interpreting, visualizing, and reporting the patterns in data that can drive business strategy, decisions, and outcomes.

Data Analysts: Data analysts are those professionals who come up with meaningful insights from the data. They have both the technical expertise and the communication skills to derive and present quantitative findings to technical and non-technical teams, clients, and stakeholders.

Some of the best courses are big data, data science certification, machine learning, artificial intelligence, Python, Python for Data Science, and business snalytics course.

If you are looking for free resources on aata analytics then read our blogs on data analytics tutorials, data analytics interview questions, and also visit our YouTube channel for free videos.

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