Power BI Course Notes

Introduction

• Power BI is a business intelligence tool.
• Important for data analysts, business analysts, product analysts, marketing analysts.
• Power BI holds a 30% market share.
• 15% of jobs are seeing a growing demand for Power BI developers.

Course Features

• The course provides complete information about Power BI.
• Method to connect with data connectors.
• Data cleaning and transformation in Power BI.
• Understanding data modeling and cardinality.
• Use of DAX (Data Analysis Expressions) and dashboard creation.
• WS Cube Tech's data analytics mentorship program.

Course Content

• Divided into 8 modules, with over 50 videos.
• Cheat sheets, assignments, and projects.
• Development of an in-depth understanding of Power BI.
• Utilizing skills in a professional setting.

WS Cube Tech's Offerings

• BI tools essential for data analytics, business analytics, finance analytics, operations analytics, and risk analytics.
• Data connection facility from Tableau, Power BI, Google.
• Extensive use and features of Power BI.

Power BI Installation

• Download and install Power BI desktop version.
• Connecting data from different platforms.
• Setting up modeling and different relationships.

Data Connectors and Transformation

• Connection with different data sources.
• Data connection from databases, cloud platforms, PDFs, Excel, etc.
• Use of Power Query Editor.

Data Transformation and Cleaning

• Using the Power Query Editor for data transformation.
• Use of numeric, text, and date tools.

Conditional Columns and Relationships

• Creating conditional columns.
• Appending and merging tables.
• Primary and foreign key relationships.

Data Modeling

• Understanding data modeling and cardinality.
• Importance of cross-filter direction.
• One-to-one, one-to-many, many-to-many relationships.

Introduction to DAX (Data Analysis Expressions)

• Use of data analysis expressions.
• Creating calculated columns and measures.
• Use of different functions.

Power BI Visuals

• Creation of different types of charts.
• Use of visuals in dashboarding.
• Use of slicers and filters.

Projects and Submission

• Projects on different datasets.
• Presentation of projects on LinkedIn.

Career Opportunities

• Opportunities to become data analyst, business analyst, BI developer.
• Possibilities to learn advanced tools like Python, SQL.

Interview Preparation

• Theoretical knowledge and practical approach.
• Potential questions for interviews.

The Power BI course has provided me with a strong foundation in data analysis and business intelligence, and I look forward to advancing my career through it.