Data Analytics

• Excel & Advanced Excel – Data handling, formulas, Pivot Tables & dashboards
• SQL & Database Management – Queries, joins, filtering & data extraction
• Power BI – Interactive dashboards, reports & data visualization
• Python for Analytics – Pandas, NumPy & data processing
• Real-World Projects – Practical datasets, analysis & business insights

Turn "Big Data" into big opportunities. In the modern business world, data is the new oil, and Data Analysts are the refineries. This course teaches you how to collect, clean, and analyze complex datasets to uncover hidden patterns and trends. Whether it's predicting sales or understanding customer behavior, you will learn the exact skills needed to help organizations make data-backed decisions.

• Advanced Excel: Master Pivot Tables, VLOOKUP, Macros, and complex data modeling.

• SQL Mastery: Learning to communicate with databases to extract and manipulate information.

• Python for Data: Using libraries like Pandas and NumPy for automated data analysis.

• Data Visualization: Creating high-impact dashboards using tools like Power BI or Tableau.

• Statistical Analysis: Understanding the "Why" behind the numbers using core statistics.

• A logical and curious mind that loves "solving puzzles."

• Basic comfort with numbers and mathematics.

• A laptop with at least 8GB RAM to handle large datasets.