Data Analysis Certification Course in Chennai with AI & ChatGPT
- Earn Industry-recognized certification
- Build real-time projects with industry-aligned tools
- Live Interactive sessions from industry veterans
- Updated curriculum designed for AI-era
- Dedicated Job Assistance and Resume Building
Success Stories – They Believed, Learned & Achieved!
Our learners are working in leading organizations
Gain industry-ready skills and earn an official certificate from DataFlair
Online Data Analyst Course in Chennai Curriculum
- Understanding Business Intelligence
- Phases of Business Intelligence
- Use Cases of BI
- Introduction to Power BI?
- Perks of using Power BI
- Real-world applications of Power BI
- Various BI Tools
- How to download Power BI Desktop
- Step-by-step installation guide
- Initial setup and configuration
Understanding Power BI components
- Desktop, Service, Mobile
- Working of these components together
Power BI Desktop UI
- Overview of Power BI Desktop
- Installation of Power BI Desktop
- Exploring the Power BI Desktop interface
- Introducing key features and tools
- Navigating through different panes and menus
Identify and Connect to a Data Source
- Types of data sources supported by Power BI
- Choosing the right data source for your needs
Get Data from Flat Files and Relational Data Sources
- Importing data from Excel, CSV, and other flat files
- Connecting to databases like SQL Server, MySQL, and more
Introducing the Power Query Editor and Power Query UI
- Understanding Power Query
- Knowing About Power Query Editor
- Navigating the Power Query Editor interface
- Basic features and functionalities
Power Query Ribbon and Different Tabs Introduction
- What is a Power Query ribbon?
- Knowing different tabs and their functions
Enhance the Structure of the Data and Table Structure
- Organizing and structuring your data tables
- Creating relationships between tables
Profile the Data
- Analyzing data quality
- Identifying and handling data issues
Evaluate and Transform Column Data Types
- Changing data types for accuracy
- Ensuring consistency across your data
Change Data Source Settings
- Updating and managing data source connections
- Handling data source changes efficiently
Identify Fact and Dimension Tables
- Knowledge about the difference between fact and dimension tables
- Organizing your data for better analysis
Define Relationships and Cardinality
- How to create relationships between tables
- Learning one-to-many and many-to-many relationships
Design a Data Model Using a Star Schema
- Building a star schema for efficient data analysis
- Advantages of using a star schema in Power BI
Data Modelling and DAX
- What are Relationships
- Creating Relationships
- Cardinality
- Cross-filter direction
- Use of inactive relationships
Introduction of DAX
- Reasons to use DAX
- DAX syntax
- DAX functions
- Context in DAX
- Measures using DAX
Create Calculated Tables
- Adding new tables using DAX
- Practical examples of calculated tables
- Learning about table, information, logical, text, iterator,
- Time intelligence functions (YTD, QTD, MTD)
Create Calculated Columns
- Creating columns with custom calculations
- Using DAX for dynamic data manipulation
Create Basic Measures Using DAX
- Understanding measures in Power BI
- Writing simple DAX formulas for calculations
- Date and time functions
Difference Between Calculated Columns and Measures
- When to use calculated columns vs. measures
- Best practices for using DAX in your data model
- DAX advanced features
Create Report from Raw Data
- Getting started with your first Power BI report
- Importing and organizing your data in reports
Add Visualization Item to Reports
- Adding charts, graphs, and other visuals
- Customizing visual elements for clarity
Choose an Appropriate Visualization Type
- Choosing the right visual for your data
- Learning different visualization options
Formatting and Configuring Power BI Charts
- Improves the look and feel of your charts
- Using formatting tools effectively
Use a Custom Visual and Import Custom Visuals
- Exploring the Power BI marketplace for custom visuals
- Process to import and use custom visuals in your reports
Apply and Customize Themes
- Modifying the overall theme of your report
- Creating a constant look and feel
Configure Conditional Formatting
- Marking important data points
- Using color rules to enhance trends
Apply Sorting
- Sorting data to improve readability
- Techniques for effective data sorting
Apply Slicing and Filtering
- Inserting slicers for interactive filtering
- Using filters to focus on specific data
Create Hierarchies
- Making data hierarchies for better navigation
- Utilising hierarchies to drill down into data
Drilldown/Drillup into Data Using Interactive Visuals
- Exploring data at different levels of detail
- Making your visuals interactive and dynamic
AI Visuals – Q & A, Key Influencers, Decomposition Tree, Smart Narratives
- Utilizing AI-powered visuals for deeper insights
- How to implement and use AI visuals in your reports
Publish Reports
- Sharing your reports with others
- Publishing reports to the Power BI service
Create and Configure a Workspace
- Workspaces set up for collaboration
- Projects organization within workspaces
Assign Workspace Roles
- Managing user roles and permissions
- Enabling secure access to your data
Configure and Update a Workspace App
- Making apps for easy access to reports and dashboards
- Updating and maintaining workspace apps
Create Dashboard
- Making your first Power BI Dashboard
- Adding and arranging visuals on the dashboard
Manage Tiles on a Dashboard
- Styling tiles for better presentation
- Arranging tiles for optimal layout
Pin a Live Report Page to a Dashboard
- Connecting live report data to your dashboard
- Maintaining real-time data updates on your dashboard
- Understanding GenAI and its integration with Power BI
- Using Power BI Copilot for report generation and data analysis
- Enhancing dashboards with AI-generated summaries and insights
- Automating data storytelling with natural language narratives
- Real-world use cases of GenAI in business intelligence
- Best practices for using GenAI features responsibly
- Interface Fundamentals
- Navigating Sheets and Workbooks
- Ribbon in Excel
- Entering and Editing Data
- Basic Formatting: Fonts, Alignment, Number Formats
- Working with Cell Ranges and Selections
- Saving, Sharing, and Collaborating
- Understanding Formulas: Operators and Cell References
- Basic Functions: SUM, AVERAGE, COUNT
- Working with Dates and Times
- Introduction to Logical Functions: IF, AND, OR
- Common Text Functions: CONCATENATE, LEFT, RIGHT, MID
- More on Functions: MIN, MAX, MEDIAN
- Array Formulas Basics
- Error Handling in Formulas
- ISNA and IFERROR Function
- Advanced Sheet Operations
- Jumping Between Sheets
- Mastering Multiple Workbooks
- Hiding and Unhiding Rows and Columns
- Freezing Panes and Splitting Screens
- Conditional Formatting: Highlighting Data
- Creating and Applying Cell Styles
- Working with Tables
- Sorting and Filtering Data
- Charts and Graphs: Creating Visualizations
- Customizing Charts: Formatting and Design
- Sparklines: Visual Data in Cells
- Sorting and Filtering Data: Advanced Techniques
- Working with Pivot Tables: Creating Interactive Reports
- Pivot Charts: Visualizing Pivot Table Data
- What-If Analysis: Goal Seek
- Data Tools in Excel
- Data Validation: Ensuring Data Integrity
- Importing and Exporting Data (CSV, Excel, etc.)
- Lookup Functions: VLOOKUP, INDEX, MATCH, XLOOKUP
- Statistical Functions: COUNTIFS, SUMIFS, AVERAGEIFS, STDEVIFS
- Array Formulas: Working with Ranges of Data
- Financial Functions: PMT, NPV, IRR, FV, PV
- Advanced Text Functions: LEN, PROPER, TRIM, FIND, SEARCH
- Working with Dates and Times (Advanced)
- Advanced Logical Functions
- Learning about Power Query and Data Import
- Data Cleaning and Transformation
- Adding Columns and Combining Data
- Power Query Automation and Web Scraping
- Loading Data and Best Practices
- Power Pivot in Excel
- Understanding Excel Automation and Macros
- Know about the VBA Editor (Interface)
- VBA Fundamentals: Variables, Data Types
- Working with Objects: Ranges, Worksheets, and Workbooks
- Automating Tasks & User Interaction
- Debugging, Error Handling, & Macro Security
- Analyze Data Feature: Generating Insights and Visualizations
- Ideas Feature: Formula Suggestions, Data Patterns
- Data from Picture: Extracting Data from Images
- Forecasting with Forecast Sheet: Predicting Future Trends
- Keyboard Shortcuts and Productivity Tips
- Performance Optimization for Large Datasets
- Planning and Designing Dashboards
- Using PivotTables and PivotCharts for Dynamic Data
- Slicers and Timelines for Interactive Filtering
- Creating Interactive Form Controls
- SQL Overview
- SQL Prerequisites
- What is SQL?
- Why do we use SQL?
- MySQL Server Installation
- SQLYog Installation
- Difference Between DBMS and RDBMS
- SQL Database and Database Server
- Comments in SQL
- What are SQL commands?
- SQL DDL Statements
- SQL DDL Statements – Alter and Drop Command
- Practical Implementation of SQL DDL Command
- SQL DML Statements
- SQL DML Statements – Delete and Update Command
- Practical Implementation of SQL DML Command
- SQL TCL Command
- Practical Implementation of TCL Command
- SQL DCL Command
- Practical Implementation of DCL Command
- Understanding SQL Data Types
- String Data Type in SQL
- Numerical Data Type in SQL
- Date Data Type in SQL
- Practical Implementation of Date Data Type in SQL
- Know about SQL Operators
- Arithmetic Operator in SQL
- Relational Operator in SQL
- Logical Operator in SQL
- Practical Implementation of Arithmetic, Relational, and Logical Operators
- SQL String Operators
- SQL Like and Not Like Command
- Constraints in SQL
- Practical Implementation of Constraints in SQL
- Order by Clause in SQL
- Practical Implementation of Order by Clause
- GROUP BY and HAVING in SQL
- Practical Implementation of GROUP BY and HAVING in SQL
- Like Command in SQL
- Practical Implementation of the LIKE Command in SQL
- Between and In Command in SQL
- Practical Implementation of Between and In Command
- ANY and ALL Operators
- Alias in SQL
- Practical Implementation of Alias in SQL
- Defining Joins in SQL
- Practical Implementation of SQL Joins
- Practical Implementation of Self-Join
- Primary Key and Foreign Key Constraint in SQL
- Practical Implementation of Primary Key and Foreign Key Constraint
- Injection in SQL
- Practical Implementation of Injection
- Null Functions
- Check Constraint in SQL
- Practical Implementation of Check Constraint
- Default Constraint in SQL
- Practical Implementation of Default Constraint
- Null Value in SQL
- Practical Implementations of Null Value in SQL
- Auto Increment in SQL
- Practical Implementation of Auto Increment in SQL
- Aggregate Functions in SQL
- Practical Implementation of Aggregate Functions
- String Functions
- Nested Query in SQL
- Practical Implementation of Nested Query
- SQL Window Function
- Practical Implementation of the Window Function
- Bulk Insert in SQL
- Backup and Restore in SQL
- SQL Library Management System Project
- SQL Sales Data Analysis Project
- SQL Restaurant Billing System Project
- SQL Patient Record System Project
- SQL Vehicle Service Booking System Project
- SQL Simple Inventory and Sales System Project
- SQL Movie Rating System Project
- SQL E-commerce Product Refund and Return Analytics System Project
Tools & Technologies
Objectives of the Data Analyst Course in Chennai
- Understand how to analyze data and visualize it to create reports that can be used in decision-making.
- Know about applying data operations methods using dataframes to organize, summarize, and interpret data distributions, correlation analysis, and data pipelines.
- Use libraries like Pandas, NumPy, and SciPy to identify patterns and insights.
- Analyze real-world datasets as projects during the Data Analyst course.
- Learn to develop and evaluate regression models using Scikit-learn. This will help in predictions and give data-driven, smart decisions.
- This online Data Analyst training in Chennai will include live projects that help in creating a strong portfolio for future requirements.
- Use Matplotlib to cover insights by visualising data using charts and graphs.
Why should you learn the Data Analyst course in Chennai?
In this ever-evolving world of technology, having data analysis skills can be a great career choice. This course equips you with a strong understanding of real-time datasets and how to generate reports and insights to make smart decisions. Various tools like Excel, SQL, and Power BI are covered in this course, which will help you get jobs across a wide range of fields.
What is Data Analysis?
The skills to analyze data for interpreting outcomes or making decisions using large datasets are Data Analysis. Data Analyst roles are highly valued by industry employers these days, as this skill is required in almost every industry. This course is designed to provide a complete hands-on experience in data analysis. Whether you are a beginner with curiosity or a seasoned professional willing to upgrade skills and enter the data science field, this course is the right choice for you.
This best Data Analyst course in Chennai guides you at each step, covering core concepts and hands-on training with real-world datasets. So you don’t need to have prior knowledge to start this course. We aim to make students ready with job-oriented skills so that they can immediately acquire good job roles after course completion.
What will you need to start this online Data Analyst class in Chennai?
The online Data Analyst course in Chennai is designed for beginners as well as experienced programmers willing to start a career in data science and analytics. Having basic knowledge of mathematical concepts such as average, statistics, and probability will help you follow along with this course smoothly. You will need a computer system with a stable internet connection and a strong desire to learn this course.
Who should choose the Best Data Analyst courses in Chennai?
- Anyone curious to learn about data analysis and seek a career in data science, analytics, or data visualization.
- This course is self-paced, so you can complete it by dedicating some hours on a daily basis without compromising on your work commitments.
- This Data Analyst course in Chennai can be enrolled in by anyone from non-programming backgrounds, as we offer proper guidance on all the concepts required for data analysis.
- Professionals willing to switch careers into data science and analytics can choose this Data Analyst course for skill upgradation.
Benefits you will get after enrolling in this Data Analyst course in Chennai:
- Gain understanding of various tools like Excel, SQL, and Power BI that can be used in different fields like healthcare, marketing, etc.
- Get hands-on with various datasets and become confident in making data-driven decisions.
- You can easily grasp the knowledge provided in this course as we provide learning with practical exercises and training projects.
Jobs after learning Data Analysis
This Best Data Analyst class in Chennai makes you job-ready. You will be eligible to opt for various job roles, some of which are mentioned here:
- Data Analyst
- Business Analyst
- Financial Analyst
- Marketing Analyst
- Operations Analyst
- Product Analyst
- Freelance Data Consultant
- Data Visualization Specialist
- Risk Analyst
Our students are working in leading organizations
Features of Data Analytics with Python Course
Data Analyst Online Training in Chennai FAQs
This Data Analyst training in Chennai equips you with skills to collect, clean, analyze, and visualize data. Through this course, we will teach you the fundamentals of data analysis. Tools such as Excel, SQL, Power BI, and real-world projects will be included in this course.
This course can be opted by students, freshers, seasoned professionals, or people who are career switching. If you are willing to build a career in data analytics and data science, then this course is suitable for you to choose.
No! Prior experience is not required to join this Data Analyst class in Chennai. We will provide guidance at each step, as this course is designed to keep beginners in mind. Just some basic ideas about computers and eagerness to learn will be enough.
Yes! You can switch careers and become a data analyst, as this course gives you all the skills and confidence to transition from any field.
You will get a chance to work with real datasets and hands-on experience for various real-time projects, sales trend analysis, customer behavior analysis, creating dashboards, and predicting future trends using statistical methods.
Various job roles such as Data Analyst, Business Analyst, Data Scientist, Financial Analyst, Marketing Analyst, etc., in different fields of technology, healthcare, finance, and many more. You will be eligible for all these job roles.
This online Data Analyst class in Chennai is self-paced means you can complete it according to your time preference with regular dedication and time. This course takes approximately 8-10 weeks for completion, and you can complete it without hindering your other work commitments.
Yes! This data analyst courses in Chennai provides a verifiable certificate upon completion. You can use this certificate to showcase your skills in your resume, LinkedIn profile, or portfolio.
As this Data Analyst course in Chennai is designed for beginners and non-programmers, you can easily grab all the knowledge and learn about tools in simple ways.
We focus on practical approaches, not just theoretical concepts. Therefore, students become ready for jobs by overcoming various industry challenges. You will be able to showcase skills to employers as you’ll be confident in solving real-world problems.
