Course Overview

Our Data Analytics course is designed to equip you with the essential skills needed to analyze data, create insightful visualizations, and make data-driven business decisions. This comprehensive program covers SQL, Excel, Tableau, Power BI, and statistical analysis techniques.

Perfect for professionals looking to transition into analytics roles or enhance their current skills. Learn from industry experts and work on real-world projects that demonstrate your analytical capabilities.

Program Fee: ₹35,000 ₹30,000

4+
Months
12+
Projects
80+
Hours
24/7
Support

Curriculum

Module 1: Excel Fundamentals & Advanced Analytics

  • Excel basics and interface navigation
  • Formulas and functions (VLOOKUP, INDEX-MATCH, SUMIF, etc.)
  • Data validation and conditional formatting
  • Pivot tables and pivot charts
  • Advanced Excel functions (Array formulas, Power Query)
  • Data analysis with Excel (What-If Analysis, Goal Seek)
  • Macros and VBA basics
  • Project: Building an Excel dashboard

Module 2: SQL Fundamentals

  • Introduction to databases and SQL
  • SQL syntax and basic queries
  • SELECT statements and filtering
  • JOINs (INNER, LEFT, RIGHT, FULL)
  • Aggregate functions (COUNT, SUM, AVG, MAX, MIN)
  • GROUP BY and HAVING clauses
  • Subqueries and CTEs (Common Table Expressions)
  • Window functions
  • Project: Complex SQL queries and data extraction

Module 3: Advanced SQL & Database Management

  • Stored procedures and functions
  • Indexes and query optimization
  • Working with multiple databases
  • Data modeling and normalization
  • ETL processes with SQL
  • Performance tuning
  • Project: Building a data warehouse

Module 4: Statistical Analysis

  • Descriptive statistics (Mean, Median, Mode, Standard Deviation)
  • Probability distributions
  • Hypothesis testing (t-tests, chi-square tests)
  • Confidence intervals
  • Correlation and regression analysis
  • A/B testing and experimentation
  • Statistical significance and p-values
  • Project: Statistical analysis case study

Module 5: Tableau Fundamentals

  • Introduction to Tableau
  • Connecting to data sources
  • Creating basic visualizations
  • Charts and graphs (Bar, Line, Pie, Scatter, etc.)
  • Filters and parameters
  • Calculated fields and table calculations
  • Maps and geographic visualizations
  • Project: Building interactive Tableau dashboards

Module 6: Advanced Tableau

  • Advanced calculations (LOD expressions)
  • Dashboard design best practices
  • Storytelling with data
  • Tableau Server and publishing
  • Performance optimization
  • Advanced analytics (Forecasting, Clustering)
  • Project: Enterprise-level Tableau dashboard

Module 7: Power BI Fundamentals

  • Introduction to Power BI
  • Power BI Desktop interface
  • Data transformation with Power Query
  • Data modeling and relationships
  • DAX (Data Analysis Expressions) basics
  • Creating visualizations
  • Custom visuals and formatting
  • Project: Building Power BI reports

Module 8: Advanced Power BI

  • Advanced DAX formulas
  • Power BI Service and workspaces
  • Sharing and collaboration
  • Power BI Mobile
  • Row-level security
  • Power BI Premium features
  • Integration with other Microsoft tools
  • Project: Enterprise Power BI solution

Module 9: Python for Data Analytics

  • Python basics for analytics
  • Pandas for data manipulation
  • Data cleaning and preprocessing
  • Exploratory Data Analysis (EDA)
  • Data visualization with Matplotlib and Seaborn
  • Working with APIs
  • Project: Python-based analytics project

Module 10: Real-World Analytics Projects

  • Sales performance analysis
  • Customer segmentation analysis
  • Financial reporting dashboard
  • Marketing campaign analysis
  • Supply chain analytics
  • HR analytics dashboard
  • Portfolio presentation

Module 11: Business Intelligence & Reporting

  • Introduction to Business Intelligence
  • Data warehousing concepts
  • ETL processes
  • Report design best practices
  • Data storytelling techniques
  • Presenting insights to stakeholders
  • Project: End-to-end BI solution

Module 12: Career Development

  • Resume building for Analytics roles
  • LinkedIn optimization
  • Interview preparation
  • Technical interview practice
  • Portfolio showcase
  • Job search strategies
  • Networking and industry connections

Course Features

📊 Comprehensive Tool Coverage

Master SQL, Excel, Tableau, Power BI, and Python

👨‍🏫 Industry Experts

Learn from professionals with real-world experience

💼 Real-World Projects

Build 12+ projects to showcase your skills

📈 Business-Focused

Learn to solve actual business problems with data

📜 Industry Certification

Receive a certificate recognized by employers

🚀 Placement Support

Get help with job placement and referrals

📚 Lifetime Access

Access all course materials forever

🌐 Flexible Learning

Choose from online, offline, or hybrid modes

Success Stories from Data Analytics Students

Real transformations from our Data Analytics program

Ready to Start Your Data Analytics Journey?

Join professionals who have transformed their careers with our Data Analytics course.

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