Data Analytics From Beginner To Advance.

Learn Data Analytics with Excel & Power BI: Data Cleaning, Visualization, Dashboards & Business Insights

Data Analytics From Beginner To Advance.

Data Analytics From Beginner To Advance. udemy course

Learn Data Analytics with Excel & Power BI: Data Cleaning, Visualization, Dashboards & Business Insights

Ready to launch your data analytics career using easy-to-learn, in-demand tools? This comprehensive course will take you from beginner to advanced with just Excel and Power BI

Start by mastering Microsoft Excel: you’ll learn essential skills like data cleaning, applying formulas, conditional formatting, creating charts, and working with pivot tables. Once you're comfortable with Excel, you'll transition to Power BI, where you'll discover how to import data, establish relationships, apply DAX (Data Analysis Expressions), and create interactive dashboards using visuals and slicers. These skills are essential for analyzing and visualizing data effectively, helping you solve real-world business problems.

This course is designed specifically for beginners, non-technical professionals, and anyone looking to switch careers to data analytics. Whether you want to enhance your current skill set or build a new career in data, this course provides hands-on experience and real-world case studies. By the end, you’ll have the confidence to analyze complex data and create stunning reports and dashboards, all while building a portfolio that demonstrates your new skills to potential employers.

Tools You’ll Learn:

  • Microsoft Excel: Data cleaning, formulas, charts, pivot tables, conditional formatting, and data visualization.

  • Power BI: DAX, data modeling, relationships, visuals, slicers, and dynamic reports.

Projects You’ll Build:

  • Sales Performance Analysis

  • Project Management Analysis

Who This Course is For:

  • Beginners exploring data analytics careers

  • Business professionals working with Excel data

  • Job seekers looking to build a data portfolio

  • Students, freelancers, and non-coders