Data Analysis Certification Course in Bangalore 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 Bangalore 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 Bangalore
- Learn Fundamental Tools and Technologies
- Build Statistical and Analytical Thinking
- Master Data Visualization and Reporting
- Work on Real-World Datasets
- Understand Data Analysis Advanced Concepts
- Boost Problem-Solving Skills
- Promote Continuous Learning
- Understand data analysis basics in an easy, beginner-friendly manner
- Learn to use non-technical tools like Excel and Power BI to analyse and visualise data
- Hands-on projects to develop skills ready to get a job
- Making a portfolio to highlight your skills to potential employers
- Learn ways to present data insights in an accessible format
Why should you learn Data Analysis?
- Step Into the Data Era: Your skills will be valued as organisations highly rely on data these days.
- No Programming Required: You will learn easy tools like Excel, SQL, and Power BI that do not require expertise in coding.
- Practical, Real-World Learning: Experience on real business challenges, implementing projects that help you build ready-to-apply skills.
- High-Demand Skills: The Data Analyst course with placement in Bangalore makes you ready for high-demand Data Analyst roles.
What is Data Analysis?
Data Analysis is adding meaning to data for resolving real-life issues. Data analysis is all about converting raw data sheets into clear insights that can be used by companies to make decisions.
This Data Analyst course in Bangalore with placement gradually teaches how to analyse data. To start, you don’t require coding skills or programming knowledge. Data analysis opens doors for exciting and rewarding careers, from determining trends to creating accessible visuals.
What to do before you begin?
This online Data Analyst training in Bangalore can be joined without programming knowledge. We make sure that your learning experience is smooth.
You’ll need the following to get started:
- Basic Computer Knowledge: If you are familiar with browsing the internet or using tools like Word and Excel, you are prepared already.
- Analytical Thinking: Enjoy solving puzzles or finding patterns, and data analysis will be interesting for you.
- Basic Math Skills: Knowing basic mathematical topics like averages, percentages, and statistics is enough.
- Curiosity to Learn: All you need is an eager mind and zeal to explore new ideas.
Good news! Our best Data Analyst course in Bangalore is designed to keep beginners in mind, so don’t worry if you are not sure of these prerequisites. From basics to advanced concepts, we’ll cover all. You come with your learning spirit, and we’ll take care of the rest!
Who should go for this Data Analysis course in Bangalore?
Anyone willing to learn about data, this best Data Analyst course in Bangalore is for you. The course is designed for beginners as well as anyone looking to upskill.
- Students and Fresh Graduates
- Career Switchers
- Working Professionals
- Entrepreneurs and Small Business Owners
- Freelancers and Aspiring Consultants
- Anyone Curious About Data
By enrolling in the Data Analysis training in Bangalore, you can expect the following benefits:
- Easy to Use: Anyone can use this tool as it is designed for non-programmers.
- Practical Experience: Project-based learning to prepare you for real challenges.
- Tools Used in the Industry: Learn Excel, Power BI, and SQL, in which coding is not required.
- Career Versatility: These skills can be utilised in marketing, healthcare, and many other fields.
- Professional Certificate: After completion, you’ll receive a certificate to showcase your skills.
Jobs after Learning the Data Analyst Certification Course in Bangalore
You can pursue various career opportunities, as there are many high-paying, in-demand jobs after completing the data analyst training in Bangalore. Job roles to choose from:
- 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 Bangalore FAQs
You will be taught the basics of data analysis, backing you with knowledge of collecting, cleaning, analysing, and visualising data. This online data analyst training in Bangalore covers industry-standard tools like Excel, SQL, Power BI, and real-time projects.
The Data Analyst course in Bangalore with placement is self-determined, so you can finish it in around 8-10 weeks, depending on your dedicated time. You can complete this course at your own speed without hindering your current work.
The live classes are led by industry expert instructors. These live sessions are conducted online, and you can attend them from anywhere.
The Best Data Analysis course in Bangalore equips you with essential tools for data manipulation and visualization, specifically Excel (advanced formulas/Power Query), SQL, and Power BI.
The projects included in this course are designed on the basis of real-world data analysis challenges. These projects will help you to create a strong portfolio.
After completing this data analytics course in Bangalore, you will be eligible to get the IBM certification from the official website with the help of your credentials.
During the online Data Analysis training in Bangalore, mentors will provide complete support and guidance to the students. We ensure a smooth learning experience by resolving your queries.
The Data Analyst training in Bangalore is especially designed for non-programmers, with practical experience and simple tools.
This Data Analyst course with placement in bangalore is beginner-friendly, and learners from non-technical backgrounds can enrol in this course. We provide learning from scratch, gradually covering advanced topics.
You will be guided to build a strong data analyst portfolio, which includes your work projects and assignments. This portfolio will help you in job placements and showcase your skills.
