Course description

The Data Analysis Course at Brightnoval IT Solutions is designed to equip students, professionals, and business owners with the skills to analyze, visualize, and make sense of data using industry-leading tools. In today’s digital age, data is the new oil, and those who can interpret it hold the key to smarter decision-making.

This course introduces learners to the essentials of Microsoft Excel, the power of Power Query, and the advanced visualization capabilities of Power BI. Starting from basic data handling to advanced analytics, you will gain hands-on experience in cleaning, transforming, analyzing, and visualizing real-world datasets.

What You’ll Learn:

• Microsoft Excel

  • Data entry, formatting, formulas & functions (SUM, IF, VLOOKUP, INDEX, MATCH)

  • Data cleaning techniques

  • PivotTables & PivotCharts for quick analysis

  • Basic dashboard creation

• Power Query

  • Importing and connecting multiple data sources

  • Data cleaning, transformation, and automation

  • Merging & appending datasets

  • Building reusable data models

• Power BI

  • Introduction to business intelligence

  • Connecting Power BI to different data sources

  • Designing interactive reports & dashboards

  • Data modeling and relationships

  • Using DAX (Data Analysis Expressions) for advanced calculations

  • Publishing and sharing dashboards online

Why This Course Matters:

• Excel is the world’s most widely used data tool.

• Power Query automates data cleaning and saves hours of manual work.

• Power BI is a leading business intelligence platform used globally by companies for decision-making.

What will i learn?

• Gain strong Excel skills for formulas, data cleaning, and PivotTables. Automate data preparation using Power Query. Create professional dashboards & reports with Power BI. Connect and analyze data from multiple sources. Write basic and intermediate DAX formulas for advanced insights. Be able to present data in a clear, visual, and business-ready format. Build a personal portfolio of projects to showcase your skills. Position yourself for opportunities in data analysis, business intelligence, and reporting roles.

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