Data Analytics

Durations : 6 month

📊 Data Analytics – Transform Data Into Insights

Our Data Analytics program helps you master the art of turning raw data into meaningful insights. With Excel, SQL, Power BI, Tableau, and Python, you’ll gain practical skills to work on real-time projects and become industry-ready. Placement support ensures you step confidently into high-demand analytics roles.

  • Introduction to Python

  • Data Types & Operations

  • Conditionals and Loops

  • Patterns & Functions

  • Strings, List & 2D List

  • Tuples, Dictionaries & Sets

  • NumPy & Pandas

  • Matplotlib & Seaborn

  • Introduction to Excel

  • Custom Number Format

  • Conditional Formatting

  • Data Transformation Options

  • Formula & Functions

  • Pivot Table

  • Introduction to BI

  • Concepts of Data Warehouse

  • Installation & Setup of Power BI

  • Working with Power Query Editor

  • Data Modelling

  • DAX Functions

  • Visuals & Reports

  • Dynamic Functions & Parameters

  • Filters, Drill Up/Down/Through

  • Bookmarks & Selection

  • Row Level & Dynamic Row Level Security

  • Power BI Services

  • SQL Introduction, Installation & Setup

  • Database & Tables

  • SQL Normalization

  • Data Types in SQL

  • SQL Commands, Constraints, Clauses & Joins

  • SubQuery, Temporary Tables, Views, Stored Procedures

  • CTE, Derived Tables & Window Functions

  • Introduction to Statistics & Types

  • Types of Data

  • Population, Sample & Sampling Techniques

  • Statistical Data Analysis Steps

  • Measures of Central Tendency

  • Measures of Dispersion

  • Graphical Representations

  • Probability

  • Inferential Statistics

  • Confidence Intervals & Types of Tests

Highlights

📑 Advanced Excel & SQL for Data Analysis

📊 Visualization Tools: Power BI & Tableau

🐍 Python for
Analytics

🧮 Statistics & Business Intelligence

🖥️ Real-World Case Studies & Projects

💼 Placement Assistance & Career Guidance

Course Content Images