India's Job-Oriented Data Analyst Course

Data Analyst Course with AI, Python, SQL & Power BI

Become a Job-Ready Data Analyst through industry-focused training designed for students, graduates, working professionals, and career changers. Learn Advanced Excel, SQL, Python, NumPy, Pandas, Statistics, Power BI, Power Query, DAX, AI Tools and build an impressive portfolio with real-world projects.

✔ Live Industry Projects
✔ Placement Assistance
✔ Internship Opportunity
✔ Resume Building

✔ Mock Interviews
✔ AI Integrated Curriculum
✔ Industry Certification
✔ Lifetime Learning Support

View Curriculum

6+

Months Training

Industry-oriented practical learning

20+

Projects

Portfolio-ready real business projects

15+

Tools Covered

Excel, SQL, Python, Power BI & AI

100%

Career Support

Resume, Interview & Placement Assistance

Best Data Analyst Course for Future Data Professionals

Data has become one of the most valuable assets for every organization. Businesses today rely on data to improve customer experience, increase revenue, optimize operations, and make informed decisions. As a result, skilled Data Analysts are among the most in-demand professionals across industries including IT, Healthcare, Banking, Finance, Retail, Manufacturing, E-commerce, Logistics, Marketing, and Government sectors.

Our Data Analyst Course is designed to transform beginners into industry-ready professionals through practical learning, live projects, business case studies, and AI-powered analytics. Unlike traditional theory-based training, this program focuses on solving real business problems using modern analytical tools.

Whether you are a student, graduate, working professional, entrepreneur, or someone planning to switch careers, this course provides a structured learning path covering everything from data collection to business intelligence dashboard development.

During this program you will master the complete analytics workflow including:

Advanced Excel
SQL & Database Management
Python Programming
NumPy
Pandas
Data Cleaning

Power BI
Power Query
DAX
Statistics
Dashboard Development
AI Tools for Analytics

By the end of this Data Analytics Program, you will confidently analyze business datasets, automate reports, create interactive dashboards, generate business insights, and build a professional portfolio suitable for interviews.

Why Choose Our Data Analyst Training?

Experienced Industry Trainers

Learn directly from professionals who have practical experience in Data Analytics, Business Intelligence, Dashboard Development, SQL databases, Python automation, and AI-powered reporting.

Project-Based Learning

Every module includes assignments, case studies, dashboards, datasets, and practical business scenarios instead of only theoretical concepts.

Latest AI Integrated Curriculum

Learn how Artificial Intelligence improves reporting, automation, visualization, forecasting, and business decision-making using modern AI tools.

Industry Certification

Receive a professional course completion certificate after successfully completing projects and assessments.

Placement Assistance

Resume preparation, LinkedIn profile optimization, aptitude preparation, mock interviews, internship guidance, and interview scheduling support.

Lifetime Learning Support

Continue learning with updated study materials, doubt sessions, recorded lectures, interview questions, and career guidance even after course completion.

What is Data Analytics?

Data Analytics is the process of collecting, cleaning, organizing, transforming, analyzing, and visualizing data to discover meaningful insights that help businesses make smarter decisions.

Every day, organizations generate millions of records from websites, mobile applications, sales, marketing campaigns, customer interactions, social media, financial transactions, and operational systems. Raw data by itself has little value until it is converted into useful information.

A Data Analyst transforms raw business data into reports, dashboards, trends, predictions, and recommendations that help management improve performance, reduce costs, increase revenue, and enhance customer satisfaction.

Today almost every industry depends on Data Analytics, including Banking, Healthcare, Manufacturing, Education, E-commerce, Retail, Logistics, Telecommunication, Insurance, Government Departments, Startups, and IT Companies.

In simple words: Data Analytics converts raw data into smart business decisions.

Who is a Data Analyst?

A Data Analyst is a professional who collects, cleans, analyzes, interprets, and visualizes business data to help organizations make better business decisions.

Instead of making assumptions, companies now depend on Data Analysts to answer questions such as:

Why are sales decreasing?
Which products generate maximum profit?
Which marketing campaign performs best?
Who are our most valuable customers?
How can operational costs be reduced?
Where should the company invest next?

Which branch performs better?
Which city generates maximum revenue?
How can customer retention improve?
What products should be launched?
How can reports be automated?
What business trends are emerging?

By using tools like Excel, SQL, Python, Power BI, and AI-powered analytics, a Data Analyst transforms complex datasets into easy-to-understand dashboards and business reports.

Why Learn Data Analytics?

High Demand

Organizations across every industry need skilled Data Analysts to convert data into actionable insights. Demand continues to grow as businesses become more data-driven.

Excellent Salary

Data Analytics offers one of the highest-paying career opportunities for fresh graduates, working professionals, and career changers.

Global Career

The skills learned in this course are recognized worldwide, making it possible to work with Indian companies, multinational organizations, or remote international teams.

AI Ready

Modern Data Analysts use Artificial Intelligence to automate reporting, forecast trends, clean datasets, generate insights, and improve productivity.

Work Across Industries

Healthcare, Finance, Retail, Education, Manufacturing, IT, Marketing, Government, Logistics, Telecommunication, Insurance, and Startups all require Data Analysts.

Future-Proof Career

Data continues to grow every year. Professionals who can analyze and visualize data will remain valuable for many years.

Complete Data Analyst Learning Roadmap

Step 1 — Advanced Excel

Learn formulas, functions, Pivot Tables, Power Query, Dashboards, Charts, Data Cleaning, Conditional Formatting, Lookup Functions, Automation, and Reporting.

Step 2 — SQL & Database

Learn MySQL, Database Design, Joins, Views, Stored Procedures, Functions, Grouping, Subqueries, Window Functions, and Business Queries.

Step 3 — Python Programming

Learn Python fundamentals, NumPy, Pandas, Data Cleaning, File Handling, Visualization, Automation, and Data Processing.

Step 4 — Statistics

Probability, Mean, Median, Mode, Variance, Standard Deviation, Correlation, Hypothesis Testing, and Business Statistics.

Step 5 — Power BI

Import Data, Power Query, Relationships, Data Modeling, DAX, KPIs, Interactive Dashboards, Publishing Reports, Business Intelligence.

Step 6 — AI Powered Analytics

Use AI tools to automate analysis, generate reports, summarize datasets, predict business trends, and improve decision making.

Congratulations!

Build your portfolio, complete live projects, earn certification, prepare for interviews, and become a Job-Ready Data Analyst.

Complete Job-Oriented Curriculum

Data Analyst Course Curriculum

Master every skill required to become an Industry-Ready Data Analyst.

Excel remains one of the most widely used tools for business reporting and data analysis. You will master advanced Excel features used by Data Analysts in real companies.

Excel Interface
Data Cleaning
Sorting & Filtering
Conditional Formatting
Data Validation
Text Functions
Date & Time Functions
Logical Functions
Lookup Functions (VLOOKUP, XLOOKUP, INDEX-MATCH)
Pivot Tables
Pivot Charts
Dashboards
Power Query
Data Automation
Interactive Reports

You'll Build

Sales Dashboard
HR Dashboard
Inventory Dashboard
MIS Reports

Learn SQL from beginner to advanced level. Understand how companies store, retrieve, manage and analyze millions of records.

Database Concepts
MySQL Installation
Tables
Primary Key
Foreign Key
CRUD Operations
Constraints
Operators
Functions
GROUP BY
HAVING

INNER JOIN
LEFT JOIN
RIGHT JOIN
Subqueries
Views
Stored Procedures
Window Functions
Indexes
Optimization
Business Queries

Python is one of the world's most popular programming languages for Data Analytics and Artificial Intelligence.

Python Basics
Variables
Operators
Decision Making
Loops
Functions
File Handling
Exception Handling
Modules
OOP Concepts

Automation
CSV Processing
Excel Automation
API Basics
JSON
Data Processing
Visualization Basics
Business Automation

Master the most important Python libraries used by professional Data Analysts.

NumPy

Arrays
Indexing
Slicing
Reshape
Random
Statistics
Broadcasting

Pandas

Series
DataFrame
Reading Files
Cleaning Data
Merge
GroupBy
Pivot
Aggregation
Time Series

Mean
Median
Mode
Variance
Standard Deviation
Correlation
Probability
Normal Distribution
Hypothesis Testing
Business Statistics

Power BI Interface
Import Data
Power Query
Data Modeling
Relationships
DAX
Measures
Calculated Columns

Interactive Dashboards
Business KPIs
Publishing Reports
Drill Through
Bookmarks
RLS
Power BI Service
Real Business Projects

Modern organizations are integrating Artificial Intelligence into their analytics workflows. This module helps you use AI responsibly to improve productivity rather than replace analytical thinking.

AI Fundamentals
Using AI for Data Cleaning
AI-Assisted SQL Query Writing
AI for Excel Formula Generation
AI in Power BI Reporting
Prompt Engineering for Analysts
Report Summarization
Data Storytelling with AI
Productivity & Automation

Industry Standard Tools

Tools & Technologies You'll Master

Master the same tools used by Data Analysts in startups, MNCs, consulting firms, banks, healthcare organizations, manufacturing companies, and e-commerce businesses.

Microsoft Excel

Business Reporting, Dashboards, Automation

MySQL

Database, SQL Queries, Data Analysis

Python

Automation, Data Cleaning, Analysis

Pandas

Data Manipulation, Transformation, Reporting

NumPy

Numerical Computing, Arrays, Statistics

Power BI

Business Intelligence, Dashboards, Visualization

Power Query

ETL, Cleaning, Transformation

AI Tools

Automation, Reporting, Productivity

Build Real-World Data Analytics Projects

Learning becomes meaningful when you solve real business problems. Throughout this course, you'll build practical projects that demonstrate your analytical skills and strengthen your professional portfolio.

Sales Analytics Dashboard

Analyze sales performance, identify top-performing products, track revenue, profit, customer growth, regional performance, and create interactive dashboards.

HR Analytics Dashboard

Analyze employee performance, department-wise attrition, attendance, salary trends, recruitment data, and workforce insights.

E-Commerce Analytics

Analyze customer orders, product categories, returns, payments, shipping performance, and customer purchasing behavior.

Financial Dashboard

Monitor expenses, revenue, profit, cash flow, budget utilization, KPIs, and business performance.

Healthcare Analytics

Analyze patient records, hospital operations, appointments, resource utilization, and medical reporting dashboards.

Marketing Analytics

Evaluate advertising campaigns, website traffic, lead generation, conversion rates, customer acquisition, and ROI.

Industry Capstone Project

Towards the end of the course, you will independently complete a comprehensive industry-level capstone project by applying everything learned throughout the program.

You'll collect data, clean datasets, write SQL queries, perform Python analysis, create Power BI dashboards, generate business insights, and present actionable recommendations.

Business Problem Identification
Data Collection
Data Cleaning
Exploratory Data Analysis
Dashboard Development
Business Recommendations
Presentation Skills

20+

Hands-On Projects

Skills You'll Gain

Become job-ready with both technical and professional skills expected by employers.

Technical Skills

Advanced Excel Reporting
SQL Query Writing
Database Management
Python Programming
NumPy & Pandas
Data Cleaning
Data Transformation
Exploratory Data Analysis
Power BI Dashboard Development
Business Intelligence
DAX & Power Query
AI for Data Analytics

Professional Skills

Analytical Thinking
Problem Solving
Business Communication
Data Storytelling
Presentation Skills
Decision Making
Critical Thinking
Portfolio Development
Interview Preparation
Resume Building
LinkedIn Optimization
Team Collaboration

Career Opportunities

Career Opportunities After Completing This Data Analyst Course

Data Analytics has become one of the fastest-growing career domains. Every organization generates valuable data, and skilled Data Analysts are required to transform that data into meaningful business insights.

Data Analyst

Analyze business data, prepare reports, develop dashboards, and help management make strategic decisions.

Business Analyst

Understand business requirements, identify opportunities, and recommend data-driven solutions.

BI Developer

Develop interactive dashboards, KPIs, business reports, and visualization solutions.

MIS Executive

Generate daily, weekly, and monthly reports using Excel, SQL, and Power BI.

Reporting Analyst

Create management reports, KPIs, trend analysis, and executive dashboards.

Operations Analyst

Improve operational efficiency using data analysis and performance metrics.

Marketing Analyst

Analyze customer behaviour, campaign performance, and ROI using analytics tools.

Junior Data Scientist

After gaining experience, students can transition into Data Science and AI-related roles.

Industries Hiring Data Analysts

Data Analytics skills are valuable across nearly every industry. Whether you prefer corporate jobs, startups, government organizations, or remote work, Data Analytics opens doors to a wide range of career opportunities.

Banking & Finance

Healthcare

Retail

E-Commerce

Manufacturing

IT Companies

Insurance

Education

Telecommunication

Logistics

Digital Marketing

Government Projects

Data Analyst Salary in India

Data Analytics offers excellent earning potential, with salaries increasing based on skills, projects, certifications, and practical experience.

Experience Level	Typical Salary Range (Annual)	Career Growth
Freshers	₹3.5 LPA – ₹6 LPA	Entry-Level Data Analyst
1–3 Years	₹6 LPA – ₹10 LPA	Data Analyst / Reporting Analyst
3–5 Years	₹10 LPA – ₹18 LPA	Senior Data Analyst / BI Developer
5+ Years	₹18 LPA+	Lead Analyst / Analytics Manager

Note: Actual salaries depend on skills, location, industry, projects, interview performance, and company requirements. Candidates with strong portfolios and practical experience often receive better opportunities.

Career Support

Complete Placement Assistance Program

Our goal is not just to teach technology, but to help you become employable and confident during interviews.

Professional Resume Building

Create an ATS-friendly resume highlighting technical skills, projects, certifications, and achievements.

LinkedIn Profile Optimization

Build a professional online presence, improve visibility, and attract recruiters from top companies.

Mock Interviews

Practice HR, technical, and project-based interviews to improve confidence.

Portfolio Development

Showcase dashboards, Python projects, SQL queries, Power BI reports, and case studies.

Internship Opportunity

Gain practical exposure by working on industry-inspired assignments and business datasets.

Interview Preparation

Prepare for aptitude, technical, SQL, Python, Excel, Power BI, and HR interview rounds.

Who Can Join?

Who Should Join This Data Analyst Course?

This course is carefully designed for beginners as well as professionals who want to build practical data analytics skills and advance their careers.

Students

Ideal for students pursuing graduation or preparing for their first job with practical industry skills.

Fresh Graduates

Build job-ready skills, strengthen your resume, and increase employability through practical projects.

Working Professionals

Upgrade your skills, switch careers, or prepare for higher-paying roles in analytics and business intelligence.

Business Owners

Learn to analyze sales, customer behaviour, marketing performance, and business KPIs using modern analytics tools.

Eligibility Criteria

There are no strict technical prerequisites to join this course. It is designed for beginners and gradually progresses to advanced concepts through practical learning.

✔ 10+2 Pass Students
✔ Undergraduate Students
✔ Graduate & Postgraduate Students
✔ Working Professionals
✔ Career Switchers
✔ Entrepreneurs & Business Owners

No Prior Coding Experience Required

You do not need prior programming experience to start learning Data Analytics. The curriculum begins with fundamentals and gradually introduces Excel, SQL, Python, Power BI, Statistics, and AI-powered analytics.

Recommended Skills

Basic Computer Knowledge
Interest in Data & Problem Solving
Willingness to Learn
Logical Thinking

Course Duration & Learning Format

6

Months Training

A structured curriculum designed to help you become industry-ready through classroom learning, practical sessions, and project work.

20+

Live Projects

Gain practical experience by working on business-inspired datasets, dashboards, and analytics case studies.

200+

Hours of Practical Learning

Focused hands-on sessions covering Excel, SQL, Python, Power BI, Statistics, AI, and portfolio development.

Why Choose Us

Why Choose ZillionSoftech for Data Analyst Training?

Our mission is to help learners gain practical skills, confidence, and career-ready experience through industry-oriented training.

Practical Learning First

Every concept is supported with hands-on exercises, assignments, case studies, dashboards, and real-world datasets.

Industry-Focused Curriculum

The syllabus is regularly updated to include modern analytics practices, business intelligence tools, and AI-assisted workflows.

Expert Mentorship

Learn from experienced trainers who guide you through practical implementation, project work, and interview preparation.

Portfolio Development

Graduate with a portfolio that showcases dashboards, SQL queries, Python notebooks, and business analytics projects.

Small Batch Size

Smaller batches allow for personalized attention, interactive discussions, and quicker doubt resolution.

Continuous Career Support

Receive guidance on resumes, LinkedIn profiles, interview preparation, internships, and career planning even after completing the course.

Why Students Prefer ZillionSoftech

Compare what you receive in our Data Analyst Course with a typical training program.

Features	ZillionSoftech	Typical Course
Live Projects	20+ Projects	Limited Practice
AI Integration	Included	Often Not Included
Career Support	Resume + LinkedIn + Mock Interviews	Basic Guidance
Portfolio Development	Included	Limited
Industry Tools	Excel, SQL, Python, Power BI, AI	Selected Tools Only
Practical Learning	Project-Based	Mainly Theory
Curriculum Updates	Regularly Updated	Occasional Updates

Career Comparison

Data Analyst vs Business Analyst vs Data Scientist

Choosing the right career path is important. Although these roles work with data, their responsibilities, tools, and career paths are different.

Comparison	Data Analyst	Business Analyst	Data Scientist
Main Objective	Analyze historical business data	Improve business processes	Predict future outcomes using AI & ML
Programming	Basic Python	Not Mandatory	Advanced Python
SQL	★★★★★	★★★★☆	★★★★★
Power BI	★★★★★	★★★★★	★★★☆☆
Excel	★★★★★	★★★★★	★★★☆☆
Statistics	Intermediate	Basic	Advanced
Machine Learning	No	No	Yes
Average Salary	₹4–12 LPA	₹6–15 LPA	₹8–35 LPA
Best For	Beginners	Business Professionals	Advanced Learners

Career Roadmap

Complete Data Analyst Learning Roadmap

Follow this structured roadmap to become a professional Data Analyst.

①

Excel

Data Cleaning, Formulas, Dashboards, Pivot Tables, Power Query

②

SQL

Queries, Joins, Functions, Views, Stored Procedures

③

Python

Automation, NumPy, Pandas, Visualization, Analysis

④

Statistics

Probability, Correlation, Business Statistics, Hypothesis Testing

⑤

Power BI

Dashboards, DAX, Power Query, Visualization

⑥

AI Tools

Prompt Engineering, Automation, Reporting, Productivity

⑦

Projects

20+ Industry Projects, Portfolio Development

🏆

Placement

Resume, Mock Interview, Career Guidance

Top Companies Hiring Data Analysts

Data Analysts are hired by startups, MNCs, consulting firms, banks, e-commerce companies, healthcare organizations, and technology companies.

Google

Microsoft

Amazon

Accenture

Deloitte

Infosys

IBM

Capgemini

TCS

EY

PwC

KPMG

Disclaimer: Company names are used only to demonstrate organizations that commonly employ Data Analysts. Displaying these names does not indicate any recruitment partnership or hiring agreement.

Industry Insight

A Typical Day in the Life of a Data Analyst

Understand how professional Data Analysts spend their workday solving business problems with data.

🕘 9:00 AM – Review Business Reports

Check previous day's KPIs, dashboards, sales performance, and business metrics.

🗄️ 10:30 AM – Write SQL Queries

Extract data from company databases using SQL for business analysis.

🐍 12:00 PM – Clean & Analyze Data

Use Python, Pandas, and NumPy to clean datasets and perform exploratory analysis.

📊 2:00 PM – Build Dashboards

Create interactive Power BI dashboards to visualize trends and KPIs.

👨‍💼 4:00 PM – Business Meeting

Present insights, discuss findings with stakeholders, and recommend improvements.

📈 6:00 PM – Final Reporting

Share reports, automate recurring tasks, and prepare dashboards for management review.

Essential Skills

25 Skills Every Data Analyst Should Master

Develop both technical and professional skills required by recruiters.

Technical Skills

✔ Advanced Excel
✔ SQL
✔ MySQL
✔ Python
✔ NumPy
✔ Pandas
✔ Power BI
✔ DAX
✔ Power Query
✔ Statistics
✔ Data Cleaning
✔ Data Visualization
✔ Dashboard Development

✔ ETL Basics
✔ Business Intelligence
✔ AI Tools
✔ Excel Automation
✔ Reporting
✔ KPI Design
✔ Business Analytics
✔ Data Storytelling
✔ APIs
✔ JSON
✔ CSV Processing
✔ Git & GitHub

Professional Skills

✔ Analytical Thinking
✔ Problem Solving
✔ Critical Thinking
✔ Communication
✔ Presentation Skills
✔ Time Management

✔ Business Understanding
✔ Team Collaboration
✔ Decision Making
✔ Attention to Detail
✔ Adaptability
✔ Continuous Learning

Interview Preparation

Frequently Asked Data Analyst Interview Questions

Prepare confidently with questions commonly asked in interviews.

Explain the process of collecting, cleaning, transforming, analyzing, and visualizing data to support business decisions.

Data Analysts analyze historical data, while Data Scientists build predictive models using machine learning.

INNER JOIN returns only the matching records from two or more tables.

WHERE filters rows before grouping, while HAVING filters grouped results after GROUP BY.

A Pivot Table summarizes, organizes, and analyzes large datasets in Excel.

View 100+ Interview Questions

Free Resources

Learn Data Analytics for Free

Strengthen your concepts with tutorials, practice questions, notes, and downloadable resources.

Excel Tutorials

Advanced Excel formulas, dashboards, Pivot Tables, Power Query, and automation.

SQL Tutorials

Learn SQL queries, joins, functions, views, and database concepts.

Python Tutorials

Master Python, Pandas, NumPy, file handling, automation, and analysis.

Power BI Tutorials

Create dashboards, reports, KPIs, DAX measures, and interactive visualizations.

Your Journey

Student Learning Journey

From beginner to job-ready Data Analyst in a structured learning path.

📝 Registration

🎓 Orientation

💻 Technical Training

📊 Live Projects

📄 Resume & Interview

🚀 Placement Support

Every stage is designed to build practical skills, confidence, and industry readiness through hands-on learning and continuous mentor support.

Industry Recognized Certification

Earn a Professional Data Analyst Certificate

After successfully completing the course and projects, students receive a professional course completion certificate that validates their practical Data Analytics skills.

✔ Industry-Oriented Curriculum
✔ Project Completion Certificate
✔ Portfolio Ready
✔ Resume Value

✔ Interview Ready
✔ QR Verification
✔ Lifetime Valid
✔ Practical Assessment

Upcoming Data Analyst Batches

Choose a batch that fits your schedule.

Weekday Morning

09:00 AM

Monday to Friday

Weekday Evening

06:00 PM

Monday to Friday

Weekend Batch

Sat & Sun

Working Professionals

Affordable Course Fee with Easy Installments

Invest in your future with a job-oriented Data Analyst Course. Flexible payment options are available.

Course Duration

6 Months

Learning Mode

Offline + Live Online

Projects

20+ Industry Projects

Certification

Included

Course Orientation Fee

₹ 1000 +GST

Easy Monthly Installments Available

Get Fee Details

Download Complete Course Syllabus

Get the complete module-wise curriculum, projects, tools, career roadmap, fee structure, and learning outcomes.

✔ PDF Syllabus
✔ Career Roadmap
✔ Project List
✔ Placement Process
✔ Fee Details

Why Recruiters Prefer Our Students

20+

Industry Projects

200+

Practical Hours

100+

Interview Questions

1:1

Career Guidance

What Our Students Say

⭐⭐⭐⭐⭐

"The practical projects, Power BI dashboards, and interview preparation helped me gain confidence. The trainers explained every concept with real examples."

— Student Name

⭐⭐⭐⭐⭐

"I joined as a beginner and completed multiple industry projects. The SQL and Python training was extremely practical."

— Student Name

⭐⭐⭐⭐⭐

"The portfolio development, resume support, and mock interviews made the placement process much easier."

— Student Name

Data Analytics Dictionary

Essential Data Analytics Terms Every Beginner Should Know

Understand the most commonly used terms in Data Analytics, Business Intelligence, SQL, Python, Power BI, and Artificial Intelligence.

KPI (Key Performance Indicator)

A measurable value that helps businesses evaluate their performance and progress toward objectives.

Dashboard

A visual representation of business data using charts, graphs, KPIs, and reports.

ETL

Extract, Transform, and Load — the process of moving data from different sources into a data warehouse.

Data Warehouse

A centralized repository where data from multiple sources is stored for reporting and analysis.

DAX

Data Analysis Expressions used in Power BI for calculations, KPIs, and business metrics.

Data Cleaning

The process of identifying and correcting missing, duplicate, incorrect, or inconsistent data.

View Complete 100+ Analytics Terms

Continue Your Learning Journey

Explore our tutorials, interview questions, practice exercises, and advanced courses.

Excel

SQL

Python

Power BI

Start Your Career in Data Analytics Today

Whether you are a beginner, graduate, working professional, or career switcher, our Data Analyst Course equips you with practical skills in Excel, SQL, Python, Power BI, Statistics, AI Tools, and Business Intelligence. Learn through real-world projects, build a professional portfolio, earn an industry-recognized certificate, and receive career support to confidently pursue opportunities in Data Analytics.

Data Analytics Course

Data Analyst Course with AI, Python, SQL & Power BI

6+

Months Training

20+

Projects

15+

Tools Covered

100%

Career Support

Best Data Analyst Course for Future Data Professionals

Why Choose Our Data Analyst Training?

Experienced Industry Trainers

Project-Based Learning

Latest AI Integrated Curriculum

Industry Certification

Placement Assistance

Lifetime Learning Support

What is Data Analytics?

Who is a Data Analyst?

Why Learn Data Analytics?

High Demand

Excellent Salary

Global Career

AI Ready

Work Across Industries

Future-Proof Career

Complete Data Analyst Learning Roadmap

Step 1 — Advanced Excel

Step 2 — SQL & Database

Step 3 — Python Programming

Step 4 — Statistics

Step 5 — Power BI

Step 6 — AI Powered Analytics

Congratulations!

Data Analyst Course Curriculum

Module 1 : Advanced Microsoft Excel

You'll Build

Module 2 : SQL & Database Management

Module 3 : Python Programming for Data Analytics

Module 4 : NumPy & Pandas

NumPy

Pandas

Module 5 : Statistics for Data Analytics

Module 6 : Power BI & Business Intelligence

Module 7 : AI for Data Analytics

Tools & Technologies You'll Master

Microsoft Excel

MySQL

Python

Pandas

NumPy

Power BI

Power Query

AI Tools

Build Real-World Data Analytics Projects

Sales Analytics Dashboard

HR Analytics Dashboard

E-Commerce Analytics

Financial Dashboard

Healthcare Analytics

Marketing Analytics

Industry Capstone Project

20+

Hands-On Projects

Skills You'll Gain

Technical Skills

Professional Skills

Career Opportunities After Completing This Data Analyst Course

Data Analyst

Business Analyst

BI Developer

MIS Executive

Reporting Analyst

Operations Analyst

Marketing Analyst

Junior Data Scientist

Industries Hiring Data Analysts

Data Analyst Salary in India

Complete Placement Assistance Program