
Data Analytics skills are projected to be the most sought-after in 2025, with a severe talent shortage across industries.
Professionals with data analytics skills earn 20-30% more than their peers in the same roles without these capabilities.
Data analytics skills are applicable across virtually every industry, making you valuable regardless of sector changes.
- Key concepts and terminology demystified
- Types of data analysis and when to use each
- Hands-on activity: Clean and prepare your first dataset
Practical Exercise: You'll get your hands dirty with real data, learning how to spot issues and prepare data for analysis.
Excel: Advanced formulas, pivot tables, and visualization
Power BI: Build data reports from the data extracted.
Demo: Watch and follow along as we work through real-world examples using each tool, with clear explanations of every step.
A comprehensive guide covering all the basics of data analytics in one easy reference.
Real-world datasets for you to practice your skills on across different industries.
Quick-reference guides with the most important commands and formulas you'll need.
After being in the industry of Data and heading multiple projects globally, I experienced there is a gap of what new age graduates are learning about Python, ML and AI with what does the industry require, and hence I thought to incubate Vikasa Academy to enhance the skills of next generation

Mentors Gained Experience From Multinational Companies Like



