In this course, you’ll learn time-saving tips and tricks to help you get the most out of Microsoft Outlook. From smarter inbox management to hidden features you didn’t know existed, this course is packed with practical advice to boost your productivity. Whether you’re new to Outlook or a daily user looking to level up, you’ll walk away with actionable techniques to manage your email, calendar, and tasks more efficiently. These tips will help streamline your communication and organize your day with confidence.
Overview
COURSE DIFFICULTY
COURSE DURATION
58m
Skills Learned
After completing this online training course, students will be able to:
Create DAX measures for business calculations
Build calculated columns for data enrichment
Build interactive dashboards and reports in Power BI
Design efficient data models with proper relationships
BI Developers, Data Analysts
None
01. What You Need to Get Started - PL-300: Microsoft Power BI Data Analyst
02. Course Introduction
03. Exam Overview
04. Prepare the Data (Get Data From Data Sources)
05. Prepare the Data (Clean the Data)
06. Prepare the Data (Transform and Load the Data)
07. Model the Data (Design and Implement a Data Model)
08. Model the Data (Create Model Calculations by Using DAX)
09. Model the Data (Optimize Model Performance)
10. Visualize and Analyze the Data (Create Reports)
11. Visualize and Analyze the Data (Enhance Reports for Usability and Storytelling)
12. Visualize and Analyze the Data (Identify Patterns and Trends)
13. Deploy and Maintain Assets (Create and Manage Workspaces and Assets)
14. Deploy and Maintain Assets (Manage Datasets)
15. Final Advice
SKILLS LEARNED
Skills Learned
After completing this online training course, students will be able to:
Create DAX measures for business calculations
Build calculated columns for data enrichment
Build interactive dashboards and reports in Power BI
Design efficient data models with proper relationships
WHO SHOULD ATTEND
BI Developers, Data Analysts
PREREQUISITES
None
COURSE OUTLINE
01. What You Need to Get Started - PL-300: Microsoft Power BI Data Analyst
02. Course Introduction
03. Exam Overview
04. Prepare the Data (Get Data From Data Sources)
05. Prepare the Data (Clean the Data)
06. Prepare the Data (Transform and Load the Data)
07. Model the Data (Design and Implement a Data Model)
08. Model the Data (Create Model Calculations by Using DAX)
09. Model the Data (Optimize Model Performance)
10. Visualize and Analyze the Data (Create Reports)
11. Visualize and Analyze the Data (Enhance Reports for Usability and Storytelling)
12. Visualize and Analyze the Data (Identify Patterns and Trends)
13. Deploy and Maintain Assets (Create and Manage Workspaces and Assets)
14. Deploy and Maintain Assets (Manage Datasets)
15. Final Advice
