Data Analytics Courses in Chennai

Data Analytics Courses in Chennai Overview

Eminent IIT Faculty has created a data analytics training in Chennai that covers all the concepts you need to become a data analyst with the help of real-world experience projects.

What skills will you acquire in this data analytics course in Chennai?

Following are the skills that you will acquire from the data analytics certification from Intellipaat in Chennai:

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
Check the curriculum and put properly

What is the average salary for a data analyst in Chennai?

According to Glassdoor, the average income of a data analyst in Chennai is about ₹7 Lakh per year. This may increase to ₹9 Lakh per year with more experience and better work quality.

Why should you go for the data analytics courses in Chennai?

There are over 30,000 jobs available for data analysts in the United States alone – LinkedIn
The USA faces a shortage of 165,000 Data Analysts & 1.5 managers with data analysis skills – McKinsey
A data analyst at Microsoft Corporation earns an average salary of $115,000 per year – Indeed

Data analytics is one of the most in-demand fields in today’s data-driven world. If you want to advance your career, learning data analytics is essential, as it is used in every industry. The data analyst courses in Chennai from Intellipaat are designed to give you the edge you need to succeed in this competitive field. Through this online training, you will gain hands-on experience by working on real-world data analytics projects and case studies.

What do you expect from this data analytics course by IIT Roorkee?

Upon completion of this data analytics course in Chennai, you will receive a certificate from IIT Roorkee, one of the world’s leading educational institutions. These certificates assess your knowledge and skills in the field of data analytics.

Why become a data analyst?

Data analyst is among the most sought-after career options in today’s technologically advanced world. There are numerous job opportunities available in this domain, which is one of the main reasons why you can opt for this career option.

As per IBM, jobs in this domain will rise by 15% by 2025, leading to the creation of more than 2.72 million jobs for data analytics professionals.

So, enroll in our data analytics courses in Chennai and land your dream job as data analyst.

Why should you pursue a career in data analytics in Chennai?

You must pursue a career in data analytics in Chennai for the following reasons:

On average, Data Analysts earn approximately ₹700k in Chennai – Glassdoor
Chennai alone has 600+ job openings for Data Analysts – Indeed
By 2025, Data Analytics job openings are predicted to increase to 2.72 million – IBM

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

What skills are needed to enroll in this data analytics course in Chennai?

You do not need to have any specific skills or knowledge to take up this data analytics certification course. However, it can be helpful if you have some understanding of mathematics and statistical concepts.

How are data analysts different from business analysts or data scientists?

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

In terms of skillset, data analysts analyze the business requirements, while business analysts analyze the historical data and data scientist 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 business. Data scientists, on the other hand, perform statistical analysis to build machine learning systems

Talk To Us

We are happy to help you 24/7

+91-7022374614

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.

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

Tools to Master

Data Analyst Course Fees in Chennai

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

Weekday (Tue-Fri)

10 Dec 2024 07:00 AM - 09:00 AM

Weekend (Sat-Sun)

14 Dec 2024 10:00 AM - 01:00 PM

Weekend (Sat-Sun)

14 Dec 2024 08:00 PM - 11:00 PM

₹85,044 10% OFF Expires in

EMI Starts at

₹5,000

We partnered with financing companies to provide competitive finance options at 0% interest rate with no hidden costs

Financing Partners

The credit facility is provided by a third-party credit facility provider in Chennai and any arrangement with such third party is outside Intellipaat’s purview.

Corporate Training

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

Data Analyst 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

Download Brochure

Explore Python Programming Language for Data Analysis and Visualization

Preview

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

Download Brochure

Applying Essential Concepts of Statistics And Probability

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

Download Brochure

Learn Machine Learning Algorithms and Advanced Analytics Techniques

Diving into Core Concepts of Machine Learning

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

Download Brochure

Examine Performance Metrics in Machine Learning

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

Download Brochure

Applying Advanced Techniques in Time Series Forecasting

Performing time series data analysis, gathering insights and practical forecasting solutions using time series forecasting

Download Brochure

Implementing Real-world Business Applications, Case Studies, and Capstone Projects

Exploring 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

Download Brochure

Building Data Analytics Capstone Project

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

Download Brochure

Explore the Real-Time Business Case Studies

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

Download Brochure

Elective

Learn Microsoft Excel for Data Analysis and Visualization

Preview

Mastering Excel For Data Analytics, Visualization, and VBA macros for automation
Explore the methods for ensuring data and file security

Download Brochure

Visualizations using Power BI

Demonstrate Data Visualization and Analytics with Power BI for Managing Reports and Dashboards
Explore real-time applications of DAX in developing reports and dashboards

Download Brochure

Job Readiness Training and Support Program

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)

Download Brochure

Project Work

Projects will be a part of your Data Analyst Master’s 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.

Data Analytics Course in Chennai FAQs

Why should I learn data analytics from IIT Roorkee faculty?

The data analytics course in Chennai is an industry-designed course that fast-tracks your career in data analytics. If you don’t want to delve into the nitty-gritty of programming and spend long hours coding, which are necessary for becoming a data analyst, then this course is for you.

The online data analytics courses involves the following:

You will work on real-life projects
You will work on industry grade assignments with high relevance in the corporate world
You can apply for best Data Analyst and Data Science jobs in top MNCs
You will get lifetime access to the course and the course material, along with lifetime upgrade and 24/7 support

What is the difference between data analytics, data analysis and data analyst?

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 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 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.

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.

What are the other best data analytics courses Intellipaat offers in Chennai?

Some of the best courses are Big Data, Data Science certification, Artificial Intelligence, and Business Analytics Course.

What are the different tools used for data analysis?

The tasks of data processing, data manipulation, data analysis, and pattern and trend identification are made much easier by the tools used in data analysis. Some of the top data analytics tools are:

Excel
QlikView
R programming
Apache Spark
Tableau Public
SAS
Splunk
RapidMiner
KNIME

Does Intellipaat provide any free data analytics resources?

If you are looking for free resources on Data Analytics then read our blogs on Data Analytics tutorial, Data Analytics Interview Questions and also visit our Youtube channel for free videos.

Is data analytics a good career?

Data analytics is a highly sought-after career option, with jobs available in a diverse range of industries and companies around the world. A master’s in data analytics can qualify you for these jobs, which are projected to grow at a much faster rate than the average for all occupations.

A career in the data analytics domain is not just a good career option but one of the most popular careers today. You can find jobs in this domain across a diverse range of industries and companies around the globe by completing master’s in data analytics.

As per the Bureau of Labor Statistics, the estimated growth rate for data analytics professionals will shoot up by 23% by the year 2026.

What is the qualification for becoming a data analyst?

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

How do I become a data analyst?

For becoming a data analyst, you should meet the following criteria:

Gain a bachelor’s, or a 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 Data Science with Python.

Where does Intellipaat provide Data Analytics Course near me in Chennai with placement?

Intellipaat offers Data Analytics Course in Chennai on different locations mentioned below-

Area	Postal Code
Adambakkam	600088
Anna Salai	600002
Ambattur	600053
Ashok Nagar	600083
Aminjikarai	600030
Besant Nagar	600090
Choolaimedu	600094
K.K. Nagar	600078
Kodambakkam	600024
Koyambedu	600107
Ekkattuthangal	600032
Kilpauk	600010
Medavakkam	600100
Nandanam	600035
Nungambakkam	600034
Madipakkam	600091
Teynampet	600018
Nanganallur	600061
Navalur	600130
Mylapore	600004
Pallavaram	600043
Purasaiwakkam	600007
Porur	600116
Pallikaranai	600100
Poonamallee	600056
Saidapet	600015
St.Thomas Mount	600016
Sholinganallur	600119
Triplicane	600014
Thoraipakkam	600096
Vadapalani	600026
Valasaravakkam	600087
Villivakkam	600049
West Mambalam	600033
Velachery	600042
Virugambakkam	600092

Data Analytics Course in Chennai

Rated #1 Data Analyst Course by Economic Times

Data Analyst Course Key Features