This course is designed to provide participants with the skills needed to become proficient data analysts, with a special focus on Microsoft Power BI. It covers key topics such as data preparation, visualization, and analysis using Power BI, helping learners develop the practical skills to work with data efficiently and effectively. By the end of this course, participants will be prepared for the Microsoft Power BI certification exam and will be capable of transforming raw data into actionable insights and meaningful visual reports

Key Learning Areas

1. Introduction to Data Analytics and Power BI
   1. Understanding the role of a data analyst and the data analytics lifecycle
   2. Overview of Microsoft Power BI, its components, and its interface
   3. Installing and setting up Power BI Desktop and Power BI Service for data analysis
2. Data Preparation and Transformation
   1. Importing and connecting to various data sources (Excel, SQL, CSV, Web, etc.)
   2. Cleaning and transforming data using Power Query: handling missing data, merging datasets, and data normalization
   3. Creating calculated columns, measures, and custom tables to enhance data sets
3. Data Modeling in Power BI
   1. Understanding data relationships, creating models, and optimizing for reporting
   2. Introduction to DAX (Data Analysis Expressions) to perform calculations and aggregations
   3. Building efficient data models by defining relationships between tables and applying appropriate keys
4. Data Visualization and Reporting
   1. Designing interactive dashboards and reports in Power BI
   2. Understanding the different visualization types: bar charts, line graphs, pie charts, heatmaps, and more
   3. Formatting and customizing visualizations to make data insights clear and impactful
   4. Using Power BI features such as slicers, filters, and drill-through to create dynamic reports
5. Advanced Power BI Features
   1. Working with Power BI Service for sharing and collaboration
   2. Publishing reports to the Power BI cloud and setting up scheduled data refreshes
   3. Creating and managing workspaces, datasets, and report sharing
   4. Implementing advanced DAX functions for complex analysis (e.g., time intelligence, conditional calculations)
6. Power BI Integration and Automation
   1. Integrating Power BI with other Microsoft tools (Excel, SharePoint, Teams, etc.)
   2. Automating reports and dashboard updates with Power BI’s refresh capabilities
   3. Using Power BI’s Q&A feature to enable natural language queries for data analysis
7. Business Insights and Decision Making
   1. Interpreting data insights to support business decisions and strategies
   2. Understanding how data analysis can drive business growth, performance improvements, and cost-saving measures
   3. Best practices for presenting data to stakeholders in an understandable and actionable way
8. Power BI Certification Preparation
   1. Reviewing key topics and concepts needed for the Microsoft Power BI certification exam
   2. Mock tests and practice questions to help participants prepare for certification
   3. Tips and strategies for passing the Power BI certification exam

Skills Gained

1. Data Preparation: Master the process of transforming and cleaning data to make it ready for analysis
2. Data Modeling: Learn how to design efficient data models, create relationships between tables, and optimize for reporting
3. Data Visualization: Gain expertise in creating interactive, insightful, and user-friendly visualizations and dashboards
4. DAX Proficiency: Develop a strong understanding of DAX for performing advanced calculations and analysis
5. Power BI Reporting: Learn to publish, share, and collaborate on reports in Power BI Service and ensure real-time updates
6. Business Analytics: Develop the skills to analyze data, derive business insights, and present findings effectively to stakeholders
7. Power BI Certification: Be prepared for the Microsoft Power BI certification exam, demonstrating your expertise in the tools

Outcome

By the end of this course, participants will

1. Have a solid understanding of how to prepare, analyze, and visualize data using Microsoft Power BI
2. Be able to create powerful, interactive reports and dashboards to present insights effectively
3. Master the use of Power Query and DAX for advanced data transformation and analysis
4. Gain hands-on experience with Power BI Service for sharing and collaboration
5. Be fully prepared to sit for the Microsoft Power BI certification exam and earn a recognized certification
6. Have the skills and knowledge to excel in a data analyst role and help organizations make data-driven decisions

This course provides a comprehensive introduction to Microsoft Power BI, helping participants build the necessary skills to work as proficient data analysts. Whether you aim to improve your reporting capabilities, gain insights from data, or pursue certification, this course offers the tools and knowledge you need to succeed in the field of data analytics