Data Analytics Course Delhi, India

Learn Excel, SQL, Power BI, and Python with practical, job-oriented training.

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🏆 17+ Years Experience
⭐ 4.7 Google Rating
👨‍🎓 5,000+ Students
📍 Online / Offline (Dwarka, Delhi)

About the Data Analytics Course

This Data Analytics course is designed to help students and professionals learn to analyze data and extract meaningful insights to support business decisions. The training focuses on practical skills using industry-relevant tools and real-world datasets, not just theoretical concepts.

Who Should Join This Data Analytics Course?

Freshers / Students

Freshers or Students looking to start a career in data analytics

Working professionals

Working professionals wanting to upgrade their skills

Non-IT Background

No coding experience required. Learn analytics step by step.

Career Switchers

Ideal for professionals planning a transition into the data analytics field.

This data analytics course is suitable for freshers, working professionals, career switchers, and learners from non-technical backgrounds.

Tools & Skills You Will Learn in This Data Analytics Course

Excel for data analytics training

Excel for Data Analysis

Advanced formulas, pivot tables, dashboards, and data cleaning.

sql for data analytics course

SQL for Data Analytics

Write queries, joins, and analyze real-time databases using SQL.

power bi for bi training

Power BI & Dashboards

Create interactive dashboards, KPIs, and business reports.

Python for data analysis classes

Python for Analytics

Learn Python basics and workflows
used in data analytics and automation.

numpy for data science

NumPy

Work with NumPy arrays for fast
numerical and statistical data analysis.

data analytics classes

Pandas

Use Pandas DataFrames for cleaning,transform, and analyzing datasets.

Ai for data analytics course

AI Tools for Analytics

Use AI tools like ChatGPT to analyze data, write queries, and improve productivity.

real projects in data analytics course

Projects & Case Studies

Work on real-world projects and case studies.

This data analytics course covers essential tools like Excel, SQL, Power BI, Python, and AI tools to build strong analytical and business skills.

What Will You Learn in This Data Analytics Course?

In this data analytics course, you will learn Excel, SQL, Power BI, Python, NumPy, Pandas, AI tools, and real-world data analysis through live projects and case studies.

  • What is Data Analytics?
  • Types of Analytics:
  • Descriptive
  • Diagnostic
  • Predictive
  • Prescriptive
  • Data Analyst vs Business Analyst vs Data Scientist
  • Analytics lifecycle (Business problem → Data → Insight)
  • Industry use cases (Sales, HR, Finance, Marketing)
  • Tools used in data analytics
  • Career roadmap & job roles
  • Salary trends & growth scope

  • Excel interface & shortcuts (productivity)
  • Data cleaning techniques
  • Sorting, filtering & formatting
  • Essential formulas:
    • IF, IFS, VLOOKUP/XLOOKUP
    • INDEX–MATCH
    • COUNTIF, SUMIF
    • TEXT, DATE, LOGICAL functions
  • Pivot Tables & Pivot Charts
  • Data validation & error handling
  • Excel dashboards:
    • KPIs
    • Charts
    • Interactive reports
  • Sales analysis dashboard
  • Practical Work:
  • Monthly performance report

  • Introduction to databases & RDBMS
  • SQL basics:
    • SELECT, WHERE, ORDER BY
  • Filtering & conditions
  • Aggregate functions:
    • COUNT, SUM, AVG, MIN, MAX
  • GROUP BY & HAVING
  • Joins:
    • INNER, LEFT, RIGHT
  • Subqueries
  • Real-world query practice
  • Analytics-based SQL questions
  • Practical Work:
  • Customer & sales database analysis
  • Business query solving

  • Power BI interface
  • Importing data from Excel & databases
  • Data modeling & relationships
  • Data cleaning using Power Query
  • DAX basics:
    • Measures
    • Calculated columns
  • Charts & visuals
  • KPI cards & slicers
  • Interactive dashboards
  • Publishing & sharing reports
  • Practical Work:
  • Sales dashboard
  • HR analytics dashboard
  • Business performance report

  • Python basics for analytics
  • Variables, loops, conditions
  • Libraries:
    • Pandas
    • NumPy
    • Matplotlib / Seaborn
  • Data cleaning using Python
  • Data analysis workflows
  • Visualization using Python
  • Connecting Python with Excel
  • Practical Work:
  • Dataset analysis using Pandas
  • Visualization project

  • Role of AI in data analytics
  • Using ChatGPT for:
    • Data understanding
    • SQL query writing
    • Excel formulas
    • Insight generation
  • AI-assisted dashboards
  • Prompt writing for analysts
  • Automation ideas using AI
  • Ethics & limitations of AI
  • Practical Work:
  • AI-assisted analysis tasks
  • Productivity automation examples

  • Understanding business problems
  • KPIs & metrics
  • Data storytelling
  • Insights vs reports
  • Stakeholder communication
  • Analytical thinking framework
  • Case-based problem solving

  • Sales performance analysis
  • HR attrition analysis
  • Finance & expense reporting
  • Marketing campaign analysis
  • Deliverables:
  • Excel dashboards
  • SQL queries
  • Power BI reports
  • Python analysis notebooks

  • Resume building for Data Analyst
  • LinkedIn profile optimization
  • Interview questions:
  • Excel
  • SQL
  • Power BI
  • Python
  • Mock interviews
  • HR interview preparation
  • Placement guidance

Live Projects Included in This Data Analytics Course

Yes, this data analytics course includes multiple live projects using real business datasets to provide practical industry experience.

Sales Performance Analysis

Analyze sales data to track revenue, growth, region-wise performance,
and key business metrics.

HR Attrition Analytics

Study employee data to identify attrition trends and HR performance insights.

Finance & Expense Analysis

Work on financial datasets to analyze expenses, profits, and cost control.

Marketing Campaign Analysis

Measure campaign performance, ROI, and customer behavior using data.

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