BI Analyst Tools: (Excel, VBA, SQL, Power Query, Power BI)

Mastering Data Visualization and Analytics with BI Tools: (Excel, VBA, SQL, Power Query, DAX, Macros, Power BI)

Created by: Bluelime Learning Solutions
Making Learning Simple

What Will I Learn?

• Understanding the importance and role of data analysis in a business context.
• Familiarity with key tools in data analysis, including Power BI, SQL, Excel, and DAX.
• Ability to connect Power BI to various data sources.
• Skills to clean and transform raw data for analysis using Power Query in Power BI.
• Proficiency in writing SQL queries for data extraction and manipulation.
• Developing and working with databases in SQL, including concepts such as Joins, Views, and Stored Procedures.
• Understanding how to use Excel for data analysis, including sorting, filtering, and use of formulas and functions.
• Advanced Excel skills such as data validation and what-if analysis.
• Mastery of PivotTables and PivotCharts in Excel.
• Understanding the basics of DAX, including its syntax and various functions.
• Ability to create calculated columns and measures using DAX.
• Mastering advanced DAX concepts like Time Intelligence functions.
• Creating relational data models in Power BI.
• Designing interactive visuals in Power BI, including charts, graphs, and tables.
• Understanding the principles of good dashboard design.
• Creating effective, business-oriented dashboards in Power BI.
• Ability to tell compelling stories with data.
• Ability to tell compelling stories with data.
• Hands-on experience of building a business-oriented dashboard in a Capstone Project.
• Confidence and competence to use Power BI, SQL, Excel, and DAX in real-world business scenarios for data analysis and visualization.

Requirements

• While this course starts with the basics, a general understanding of computers and software is required. No prior knowledge of Power BI, SQL, Excel, or DAX is needed. A willingness to learn and an interest in data analysis are the main prerequisites.

Target audience

• Beginners interested in learning data analysis and business intelligence tools.
• Professionals who want to enhance their data analysis skills.
• Data analysts aiming to learn new tools and techniques.
• Data analysts aiming to learn new tools and techniques.
• Students in the fields of business, data science, or related disciplines looking to augment their skills.