Data Analysis Course

⏱️ Duration : 06 Months

Welcome to the most powerful Data Analysis course designed to turn absolute beginners into confident, job-ready analysts.

In today’s data-driven world, numbers don’t lie — but only if you know how to read them. This course empowers you to clean, analyze, and visualize data like a pro using industry-standard tools like Advanced Excel, Python (with Pandas & Matplotlib), MySQL, and Power BI — giving you the perfect mix of technical and business-oriented skills.

But that’s just the beginning…

You’ll not only work on real-world datasets but also learn how to derive insights that drive decisions in business, finance, marketing, and more. From dashboards to data storytelling, we’ll train you to present data with impact.

This isn’t just about formulas and code — this is about thinking like an analyst, building a strong portfolio, and stepping into the industry with confidence.

 

Whether you’re looking to upskill, switch careers, or become a freelancer — this course is your ultimate launchpad into the world of data.

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Course Curriculum

  • Excel Interface & Power Shortcuts
  • Data Cleaning Techniques (Remove Duplicates, Text to Columns, Flash Fill)
  • Logical, Date-Time, Text & Lookup Functions (VLOOKUP, XLOOKUP, INDEX-MATCH)
  • Pivot Tables & Pivot Charts
  • Conditional Formatting, Data Validation & Drop-downs
  • Charts, Graphs & Dashboard Designing
  • Power Query & Power Pivot
  • Real-World Projects (Sales Report, HR Dashboard, MIS Reports)
  • Introduction to Relational Databases
  • CRUD Operations (Create, Read, Update, Delete)
  • Filtering, Sorting, Joins (INNER, LEFT, RIGHT, FULL)
  • Subqueries, Nested Queries & Aggregate Functions
  • GROUP BY, HAVING, UNION
  • Real-Life Projects (Sales Analysis, Inventory Database, Customer Segmentation)
  • Python Basics & Syntax
  • Data Types, Functions, Loops & Conditional Logic
  • File Handling & Exception Handling
  • NumPy & Pandas for Data Analysis
  • Data Cleaning, Transformation & Exploration with Pandas
  • Data Visualization using Matplotlib & Seaborn
  • Hands-on Projects (Customer Data Analysis, Excel to Insights Automation)
  • Power BI Interface & Data Loading
  • Power Query Editor & Data Transformation
  • Building Interactive Dashboards
  • DAX Formulas – Basics to Advanced
  • KPI, Slicers, Filters, and Drill-through Pages
  • Publishing Reports to Power BI Cloud Service
  • Projects: Sales Performance Dashboard, HR Analytics, Market Trend Report
  • End-to-End Data Analysis Project
  • Resume & LinkedIn Optimization
  • GitHub Project Hosting
  • Mock Interviews & Job Readiness Training

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