Course description

Learn the complete fundamentals of Data Analytics and turn raw data into meaningful business insights. This practical course covers Microsoft Excel, SQL, and Power BI, helping you develop the skills required to clean, analyze, visualize, and present data professionally.

What will i learn?

  • Understand the fundamentals and importance of Data Analytics.
  • Understand different types of Data Analytics and their real-world applications.
  • Perform data cleaning and preparation using Excel.
  • Use Excel formulas, functions, Pivot Tables, and Pivot Charts for data analysis.
  • Understand basic statistics used in Data Analytics.

Requirements

  • Basic computer knowledge and familiarity with using a computer.
  • Basic understanding of Microsoft Excel is helpful but not mandatory.
  • No prior professional Data Analytics experience is required.
  • Basic mathematics and statistics knowledge is helpful.
  • A laptop or desktop computer with a stable internet connection.
  • Microsoft Excel for practicing spreadsheet-based analysis.

Frequently asked question

This course is designed for students, fresh graduates, working professionals, business users, and anyone who wants to learn Data Analytics and make data-driven decisions using Excel, SQL, and Power BI.

No. This course starts with the fundamentals of Data Analytics and gradually moves toward advanced concepts, practical analysis, dashboards, and real-world projects.

No programming background is required. Basic SQL concepts will be taught from the beginning, and Excel and Power BI will be explained through practical examples.

You will learn Microsoft Excel, SQL, Power BI, Power Query, DAX fundamentals, data visualization, dashboard development, and business analytics concepts.

Yes. The course includes practical exercises and real-world projects covering data cleaning, analysis, visualization, SQL queries, Excel analysis, and interactive Power BI dashboards.

Armaan Malik

ebiz technocrats

Free

Lectures

9

Skill level

Intermediate

Expiry period

Lifetime

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