Data Analysis Course – Data Analyst Certification Course with AI & ChatGPT [English]
Get the best out of data with our Data Analyst course! In weeks, you’ll learn tools like Excel, SQL, and Power BI, do real-world projects, and build a portfolio, skills, and confidence that will get you noticed. You will become a job-ready professional in the upskilling field of Data Analyst, whether you are just getting started or looking to upskill.
Course Highlights – Everything You Need to Succeed
- 55+ hrs self-paced expert-led course
- 135+ hrs of comprehensive study material
- 110+ hrs of real-world practicals
- 65+ Interactive quizzes & assessments
- 490+ Interview questions for top MNCs
- 80+ Real-time implementation
- 160+ Practical Examples
- 98% Positive reviews from learners
- 45+ Comprehensive assignments
- 30+ Real-time industry case-studies
- 170+ Data analysis tutorials
- 1:1 Career counselling with expert
- Practical knowledge which industry needs
- Industry-renowned certification
Your Data Analyst Journey Starts Here — Try before you Buy
Self-Paced Mastery
Ideal for: Beginners looking to learn and grow with expert guidance.
Rs. 15990 | $185 | €170 Rs. 4490 | $54 | €50
| Self-paced Expert-led Course |
| Industry-relevant Curriculum by Experts |
| Beginner to Advanced Topics Covered |
| Notes, Study material & Cheatsheets |
| Real-world Practicals |
| Assessments to Test Your Skills |
| Interview Questions of Top MNCs |
| Real-time Live Projects |
| 1:1 Career Counselling with Expert |
| Real-time Industry Case-studies |
| 3 years Access Duration |
| Industry-renowned Certification |
Career Launchpad
Ideal for: Dedicated & ambitious learners looking for jobs in top MNCs.
Rs. 29990 | $346 | €318 Rs. 7490 | $89 | €82
| Everything in “Self-Paced Mastery” plus: |
| Job Assistance |
| Resume & Interview Prep |
| Mock Interview |
| Internship |
| Job/Placement Prep |
| LOR |
| Additional Real-time Projects |
| Lifetime Course Access |
| LinkedIn Profile Optimization |
| Learn with ChatGPT & AI tools |
| Quizzes for Each Module to Track Progress |
Pro Mentorship
Ideal for: Industry professionals looking for a job or switching careers.
Rs. 39990 | $468 | €434 Rs. 11990 | $141 | €131
| Everything in “Career Launchpad” plus: |
| Live interaction with Instructor |
| Live Mentoring over Weekends |
| Doubt Clearance for 3 months |
| Hiring Support |
| Lifetime Support |
| Lifetime Upgrades to latest version |
| Additional Real-time Projects |
| 24x7xLifetime Access |
| Dedicated Hiring Manager |
| Additional Interview Q&A |
| Masterclasses on Trending Technologies |
Easy EMI Options Available: Invest in Your Future Without Worry!
- 💳 Flexible Payment Options – Get started with easy monthly installments.
- 💵 Affordable Learning – Pay as low as ₹281/month.
- 📢 No Hidden Charges – Simple, transparent, and secure.
- 🚀 Instant Approval – Choose EMI at checkout and start learning today!
Success Stories – They Believed, Learned & Achieved!
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Online Data Analyst Training Course Curriculum
- SQL Overview
- Basics of SQL
- Purpose and Use Cases of SQL
- Install MySQL Server
- Setting up SQLYog
- DBMS vs RDBMS
- What is a SQL Database and Database Server?
- Categories of SQL Commands
- DDL Commands
- Using ALTER and DROP in SQL
- Applying DDL in MySQL
- DML Commands
- DELETE and UPDATE in SQL
- Implementation of DML in MySQL
- Understanding BETWEEN and IN
- Practical with BETWEEN and IN
- Introduction to SQL Data Types
- String-Based Data Types
- Number-Based Data Types
- Date and Time Data Types
- Types of SQL Operators
- Arithmetic Operators
- Relational Operators
- Logical Operators
- Working with String Operators
- LIKE and NOT LIKE Usage
- Pattern Matching with LIKE
- Aggregate Functions
- Using Aggregates in SQL
- Concept of Nested Queries
- Implementation of Nested Queries
- Sorting Results with ORDER BY
- Using GROUP BY and HAVING
- Creating Aliases
- Applying Constraints in Tables
- Understanding NULL in SQL
- Auto-Increment
- What are Joins
- Different Types of SQL Joins
- Applying String Functions in SQL
- Exploring the Excel interface
- Moving between sheets and workbooks
- Entering and editing data
- Formatting cells with fonts, alignment, and numbers
- Selecting and working with cell ranges
- Saving your work and collaborating
- How formulas work
- SUM, AVERAGE, COUNT functions
- Working with dates and time
- IF, AND, OR logical functions
- CONCATENATE, LEFT, RIGHT, MID
- MIN, MAX, MEDIAN Functions
- Array formulas
- Managing and fixing formula errors
- Advanced actions on sheets
- Switching between sheets quickly
- Linking and using multiple workbooks
- Hiding and unhiding rows or columns
- Freezing headers and splitting the screen
- Conditional formatting to highlight
- Cell styles for consistent formatting
- Creating structured tables
- Sorting and filtering data
- Building charts and graphs
- Customizing chart design and layout
- Adding sparklines
- Sorting and filtering with advanced options
- Creating pivot tables
- Pivot charts for dynamic reports
- What-If analysis
- Using Excel’s built-in data tools
- Validating data entries
- Importing and exporting data in different formats
- VLOOKUP, INDEX, MATCH, XLOOKUP Lookup Formulas
- COUNTIFS, SUMIFS, AVERAGEIFS, STDEVIFS Statistical Functions
- Array formulas
- PMT, NPV, IRR, FV, PV Financial Functions
- LEN, TRIM, FIND, SEARCH, PROPER Text Formulas
- Date and time calculations
- Logical functions
- Introduction to Power Query and importing data
- Cleaning and reshaping data
- Adding calculated columns and merging datasets
- Automating transformation steps
- Best practices for loading cleaned data into Excel
- What are macros and how to use them
- VBA editor
- Variables and data types in VBA
- Working with Excel objects: cells, sheets, workbooks
- Creating automation and user interactions
- Debugging code and handling errors
- Setting macro permissions and security
- Using ‘Analyze Data’ to get instant insights
- Formula suggestions from the Ideas panel
- Extracting data from images
- Predcting trends using the Forecast Sheet
- Keyboard shortcuts to save time
- Improving Excel performance for large files
- Planning and designing a dashboard layout
- Using pivot tables and charts
- Adding slicers and timelines for filters
- Creating drop-downs and buttons
- Solve a real business case using Excel
- Apply functions, pivot tables, visuals, and automation
- Build and present your final Excel solution
- Understanding BI and Power BI
- Installing and Setting Up Power BI
- Exploring the Power BI Workflow
- Power BI Desktop Interface
- Introduction to Power Query
- Navigating the Power Query Editor
- Data Types in Power Query
- Text Operations: Split, Merge, and Extract
- Removing Columns and Previewing Data
- Grouping Data Using Power Query Editor
- Creating Conditional Columns
- Using Fill Up and Fill Down
- Pivoting and Unpivoting Columns
- Merging and Appending Queries
- Appending Data from a Folder Source
- Data Modelling Basics
- Advanced Data Modelling
- Getting Started with DAX
- Intermediate DAX Functions
- Advanced DAX Techniques
- Building Your First Report
- Designing Interactive Reports
- Enhancing Reports with Features
- Using AI Visuals in Reports
- Creating Report Hierarchies
- Applying Conditional Formatting
- Using Field Parameters and Edit Interactions
- Designing Dynamic Tooltips and Drillthroughs
- Working with the Analytics Pane
- Adding Buttons for Navigation
- Bookmarks in Power BI
- Advanced Bookmarks
- Creating Groups and Bins
- Visualizing Data with Scatter Charts
- Adding Sparklines to Reports
- Integrating Custom Visuals
- Removing Unused Custom Visuals
- Using Themes and HEX Color Codes
- Creating Workspaces in Power BI Service
- Building Dashboards
- Creating Apps and Viewing Usage Metrics
- Data Refresh and Scheduled Refresh
- Implementing Incremental Refresh
- Row-Level Security
- Endorsing Semantic Models
- Optimizing Data Models for Performance
- Exploring Import, Direct Query, and Live Connections
- Boosting Performance with Model Tuning
- Case Study: Connecting Power BI to Web Data Sources
Tools & Technologies
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Industry-renowned Certification
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Data Analyst Course Objectives
- Master Essential Tools and Technologies
- Develop Statistical and Analytical Thinking
- Learn Data Visualization and Reporting
- Work with Real-World Datasets
- Explore Domain-Specific Applications
- Understand Advanced Data Analysis Concepts
- Enhance Problem-Solving Skills
- Foster Continuous Learning
- Understand the basics of data analysis in a simple, beginner-friendly way
- Learn to use non-programming tools like Excel and Power BI to analyse and visualise data
- Work on practical projects to develop job-ready skills
- Build a portfolio to showcase your abilities to potential employers
- Learn how to present data insights in an easy-to-understand format
Why should you learn Data Analysis?
- Step Into the Data Era: With businesses relying on data more than ever, your skills will be highly valuable.
- No Programming Required: You’ll learn tools like Excel, SQL, and Power BI that are easy to use and don’t need coding expertise.
- Practical, Real-World Learning: Work on projects that mimic real business challenges, helping you build skills you can apply immediately.
- High-Demand Skills: Data Analysts are in demand everywhere—this Data Analyst course prepares you for those opportunities.
What is Data Analysis?
Data Analysis is making sense of data to solve real-world problems. Imagine transforming messy spreadsheets into clear insights businesses use to make decisions—this is what data analysis is all about.
You don’t need coding skills or programming knowledge to start; this Data Analyst course will teach you how to analyse data step by step. Fun fact: By 2025, companies worldwide will generate over 180 zettabytes of data and need people like you to help them understand it! Data analysis is your gateway to an exciting and rewarding career, from identifying trends to creating easy-to-understand visuals.
What to do before you begin?
You don’t need programming knowledge to join this Data Analyst course! We ensure smooth learning for you all.
Here’s what you need to get started:
- Basic Computer Knowledge: You’re already prepared if you can browse the internet or use tools like Word and Excel.
- Analytical Thinking: Data analysis will be fascinating if you enjoy solving puzzles or finding patterns.
- Basic Math Skills: Understanding simple mathematical concepts like averages, percentages, and statistics is enough.
- Eagerness to Learn: A curious mind and a willingness to explore new ideas are all you need.
Good News! Even if you feel unsure about these prerequisites, our Data Analyst course is designed with beginners in mind. From fundamentals to advanced topics, we’ve got you covered. All you need to bring is your enthusiasm to learn; we’ll take care of the rest!
Who should go for this Data Analyst course?
The Data Analyst course is designed for anyone who wants to learn about data. Whether you’re a beginner or looking to upskill, this course is for you.
- Students and Fresh Graduates
- Career Switchers
- Working Professionals
- Entrepreneurs and Small Business Owners
- Freelancers and Aspiring Consultants
- Anyone Curious About Data
By enrolling in our Data Analyst course, you can expect the following benefits:
- Easy to Use: It is made for those who are not programmers, thus anyone can use the tool.
- Practical Experience: Project-based learning to prepare you for real directions.
- Tools Used in the Industry: Learn Excel, Power BI, and SQL — no coding required!
- Career Versatility: Your skills are transferable to marketing, healthcare, etc.
- Professional Certificate: Showcase your expertise with a certificate upon completion.
Jobs after Learning this Data Analyst Course
After completing this Data Analyst course, there are many high-paying, in-demand career opportunities across various industries. Exciting job roles you can pursue:
- 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 Analyst Course
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Data Analyst Online Training FAQs
This Data Analyst course is designed to teach you the fundamentals of data analysis, equipping you with the skills to collect, clean, analyze, and visualize data. It covers industry-standard tools like Excel, SQL, Power BI, and real-world projects.
Whether you’re a student, working professional, entrepreneur, or someone switching careers, this Data Analyst course is perfect for anyone looking to enter the high-demand field of data analysis.
No prior experience is required! Basic computer knowledge and an eagerness to learn are all you need. The Data Analsyt course is beginner-friendly, and we’ll guide you step by step.
Absolutely! This Data Analyst course equips you with skills to transition into data analysis from any field.
You’ll work on real-world datasets and projects, such as sales trend analysis, customer behavior analysis, creating dashboards, and predicting future trends using statistical methods.
This course prepares you for roles like Data Analyst, Business Analyst, Data Scientist, Financial Analyst, Marketing Analyst, and many more across various industries like technology, healthcare, and finance.
The Data Analyst course is self-paced, so you can complete it in approximately 8–10 weeks, depending on how much time you dedicate daily. You can learn at your own pace without compromising your current commitments.
Yes! Upon completing the course, you’ll receive a verifiable certificate, which you can showcase on your resume, LinkedIn, or portfolio.
It’s specifically designed for non-programmers, with hands-on learning and tools that are easy to use.
This Data Analyst course is designed with a hands-on, practical approach, focusing on real-world applications and job readiness. You won’t just learn tools; you’ll gain the confidence to solve real business problems and showcase your skills to potential employers.
