Microsoft Power BI Mastery: From Beginner to Advanced

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EDUCBA Bridging the Gap

14:55:06

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1. Microsoft Power BI - Business Intelligence for Beginners to Advance

1. Introduction to Power BI.mp4

03:03

2. Target Audience and Course Applicabiltiy.mp4

02:46

3. History of PowerBI.mp4

04:40

4. Components and Roles.mp4

06:47

5. Installation of PowerBI.mp4

08:17

6. Design.mp4

12:12

7. Develop Using PowerBI Desktop.mp4

09:59

8. Key Components and Pricing.mp4

09:16

9. Review of Chapter.mp4

02:07

10. File Menu Options.mp4

02:59

11. Data Import.mp4

08:36

12. Seeing the Output on Visualizations.mp4

08:47

13. Basic Data Relationship.mp4

12:12

14. Exploring View.mp4

11:39

15. Modelling Option in Menu Bar.mp4

12:00

16. Data Cleansingh and Import.mp4

01:13

17. Types of Data Imputs.mp4

07:57

18. Add column Feature.mp4

02:56

19. Transformations.mp4

08:18

20. Import Data.mp4

13:45

21. User Roles.mp4

12:46

22. View.mp4

06:14

23. Modelling Options.mp4

07:36

24. View and Modelling Menu Options.mp4

03:10

25. Cardinality.mp4

09:53

26. Cardinality Continue.mp4

06:19

27. Direction.mp4

09:16

28. Cross Filtering.mp4

05:47

29. Direct Query Vs Import.mp4

07:25

30. Samples.mp4

07:03

31. Conclusion.mp4

07:20

32. Transformation Introduction.mp4

02:08

33. Json File Import Transforms.mp4

07:11

34. Mquery.mp4

02:30

35. Query Function.mp4

14:20

36. Function Remark.mp4

02:05

37. Concluding Recapof Datatransformation.mp4

09:28

38. Concluding Recapof Datatransformation Continue.mp4

09:28

39. Intro to POwerBI Visuals by MS.mp4

00:34

40. Bar Chart.mp4

09:54

41. Area Chart.mp4

09:15

42. Card.mp4

06:59

43. Combo Chart.mp4

06:04

44. Donut Chart.mp4

07:12

45. Funnel Chart.mp4

06:43

46. KPI.mp4

03:51

47. Matrix.mp4

05:33

48. MAP.mp4

03:58

49. Other Visualizations.mp4

10:00

50. Intro to Visualizations from Marketplace.mp4

07:44

51. Visualization Samples Part 1.mp4

13:58

52. Visualization Samples Part 2.mp4

12:56

53. Visualization Samples Part 3.mp4

14:19

54. Visualization Samples Part 4.mp4

10:53

55. Dashboards.mp4

14:45

56. Dashboards Continue.mp4

05:57

57. More on Dashboards.mp4

07:31

58. Apps.mp4

08:46

59. Roles and Restrictions.mp4

09:01

60. Conclusion - Example.mp4

07:29

61. Conclusion - Example Continue.mp4

07:37

62. Ways to Share and Publish.mp4

12:53

63. Ways to Share and Publish Continue.mp4

10:59

64. Schedule Refresh.mp4

11:33

65. Subscription - Pull Mechanism.mp4

01:46

66. Alert-Push Mechanism.mp4

01:10

67. Summary of Session.mp4

01:20

68. Introduction to DAX.mp4

05:48

69. DAX Continue.mp4

12:52

70. DAX Demo.mp4

01:09

71. DAX Operation.mp4

09:01

72. DAX Functions.mp4

16:47

73. Dax Functions Continue.mp4

05:17

74. DAX-PowerBi Sample.mp4

06:05

75. DAX Recap.mp4

02:30

76. Best Practice.mp4

07:05

77. Best Practice Continue.mp4

06:23

78. Cheat Sheet Part 1.mp4

08:28

79. Cheat Sheet Part 2.mp4

07:12

80. Cheat Sheet Part 3.mp4

05:53

81. Cheat Sheet Part 4.mp4

03:48

82. Cheat Sheet Part 5.mp4

08:31

83. Cheat Sheet Part 6.mp4

02:39

84. Tips and Tricks.mp4

08:05

85. Conclusion.mp4

07:20

2. Power BI - Analyzing & Visualizing Data

1. Introduction to Power BI.mp4

07:23

2. Introduction to Power BI Continue.mp4

07:31

3. Get Data.mp4

10:32

4. Get Data Continue.mp4

08:34

5. Power BI Architecture.mp4

10:41

6. Power BI Comparison.mp4

12:14

7. Power BI -Data Modeling.mp4

02:58

8. Creating Table.mp4

10:37

9. Report Tab.mp4

10:18

10. Calculated Table.mp4

08:15

11. Clustered Column Chart.mp4

08:26

12. Power BI - Data Visualization.mp4

10:38

13. Stacked Column Chart.mp4

10:29

14. Use Pie Chart.mp4

08:43

15. Add Text Box and Shape.mp4

06:59

16. Importing Excel.mp4

11:00

17. Publishing Report.mp4

10:56

18. Themes and Tabs.mp4

10:16

19. DAX Overview.mp4

10:46

20. Aggregations in Power BI.mp4

06:41

21. Counting Function.mp4

08:35

22. Logical Functions.mp4

11:14

23. Logical Functions Continue.mp4

07:28

24. Custom String Table.mp4

07:13

25. Upper Function.mp4

10:45

26. Date Functions.mp4

10:02

27. EO Month Function.mp4

09:29

28. Information Functions.mp4

11:22

Description

Master Microsoft Power BI from the basics to advanced data analysis and visualization

What You'll Learn?

Gain a solid understanding of Power BI, its history, and the key components involved. Learn how to install Power BI and navigate through its design development
Explore various file menu options and understand data import functionalities. Master data modeling techniques, including data cleansing, transformations
Understand relationships, cardinality, and cross-filtering in Power BI, along with the difference between Direct Query and Import.
Dive into Power BI visuals, exploring different chart types, visualizations, and customizations.
Learn about Power BI dashboards, apps, and various roles and restrictions for sharing and publishing.
Explore advanced topics such as DAX (Data Analysis Expressions) for powerful calculations and modeling.
Understand best practices, tips, and tricks for efficient Power BI usage. Analyze and visualize data effectively using Power BI tools and techniques.
Explore Power BI's architecture, data modeling, and comparison with other BI tools.
Create interactive and insightful reports, applying DAX functions and utilizing cheat sheets for quick references.
Learn advanced data analysis and visualization techniques, including importing data from Excel, creating calculated tables, and using various charts.
Understand the Power BI architecture, data modeling, and comparisons with other BI tools.
Explore data visualization features, such as clustered column charts, stacked column charts, pie charts, and more.
Dive into DAX functions, logical functions, date functions, and information functions for enhanced data manipulation.
Acquire practical skills through hands-on demos, case studies, and real-world examples.
By the end of the course, students will be proficient in using Power BI for effective data analysis, visualization, and reporting across various businesses

Who is this for?

Business Analysts: Professionals who need to analyze and visualize data for business insights.

Data Analysts: Individuals responsible for collecting, processing, and analyzing data sets to inform business decisions.

Data Scientists: Those who want to enhance their data visualization skills and use Power BI for effective communication of insights.

Business Intelligence Professionals: Professionals working in the field of BI who want to expand their knowledge and skills with Power BI.

IT Professionals: Individuals in IT roles aiming to leverage Power BI for data analysis and reporting.

Managers and Decision-Makers: Executives and decision-makers who want to understand and interpret data-driven insights using Power BI.

Students and Aspiring Data Professionals: Those who are studying or aspiring to enter the field of data analytics, business intelligence, or data science.

This course is suitable for a wide range of professionals and learners who wish to harness the power of Power BI for effective data analysis and visualization in their respective domains.

What You Need to Know?

Power BI Desktop: Make sure you have Microsoft Power BI Desktop installed on your computer. You'll use this tool to create insightful visualizations and analyze data.

Basic Computer Skills: A fundamental understanding of using a computer, navigating software interfaces, and managing files will be beneficial.

More details

Description
Welcome to the "Microsoft Power BI Mastery" course! This comprehensive program is designed to empower you with the skills and knowledge needed to become proficient in Microsoft Power BI, from foundational concepts to advanced data analysis and visualization techniques.
In this course, we will embark on a journey through the key features and functionalities of Power BI, starting with the basics and gradually progressing to advanced topics. Whether you're a beginner looking to grasp the fundamentals or an experienced user aiming to enhance your capabilities, this course is tailored to meet your needs.
Our course structure is meticulously crafted to ensure a seamless learning experience. We will cover essential aspects such as Power BI's history, components, and installation process. Practical sessions will guide you through data import, modeling, and visualization, providing hands-on experience to reinforce your understanding.
As we advance, we'll dive into the realm of Data Analysis Expressions (DAX), where you'll learn powerful techniques for manipulating and analyzing data. The course includes in-depth explorations of various visualization tools, functions, and best practices, equipping you with the skills to derive meaningful insights from your data.
Whether you're a business professional, data analyst, or anyone keen on harnessing the full potential of Power BI, this course will empower you to navigate the tool with confidence, extract valuable insights, and create compelling visualizations. Get ready to elevate your data analysis and reporting skills with Microsoft Power BI Mastery!
Section 1: Microsoft Power BI - Beginners to Advanced
Lecture 1-3: The section begins with an introductory overview of Microsoft Power BI, defining its key features and functionalities. The target audience and course applicability are discussed, setting the stage for beginners. A historical perspective on Power BI provides context for its evolution and relevance in the business intelligence landscape.
Lecture 4-9: Delving into the practical aspects, the section covers the components and roles within Power BI. It navigates through the installation process of Power BI, ensuring that beginners can set up the tool effectively. Design principles and the development process using Power BI Desktop are introduced, along with an exploration of key components and their associated pricing models. The chapter review consolidates the knowledge gained.
Lecture 10-19: The subsequent lectures explore critical aspects of Power BI, such as file menu options, data import procedures, and relationships between different data elements. Practical insights into visualization options, modeling techniques, data cleansing, and diverse data input methods are provided. Adding columns, applying transformations, and importing data are demonstrated to equip learners with hands-on skills.
Lecture 20-29: Building on the foundational knowledge, this part of the section extensively covers user roles, views, and modeling options. Cardinality concepts, cross-filtering techniques, and the choice between direct query and import methods are elucidated. Practical examples and samples further solidify the understanding of these complex topics.
Lecture 30-37: The section concludes with an overview of transformations, diving into the intricacies of data transformation processes. The introduction to Power BI visuals by Microsoft is followed by a comprehensive exploration of various visualizations available in the marketplace. Dashboards, apps, roles, and restrictions are discussed, and the section culminates with practical examples, ways to share, publish, and mechanisms for refreshing and subscribing to data.
Lecture 38-49: The final part of Section 1 introduces learners to the Data Analysis Expressions (DAX) language, a powerful tool for data analysis in Power BI. Topics include DAX operations, functions, and best practices, providing a solid foundation for learners to utilize DAX effectively. Cheat sheets, tips, and tricks are shared to enhance the practical application of DAX functions.
Section 2: Power BI - Analyzing & Visualizing Data
Lecture 86-113: Transitioning to Section 2, the course covers an array of topics related to analyzing and visualizing data in Power BI. Beginning with an introduction to Power BI and its application in data analysis, the lectures explore the process of obtaining data and the architecture of Power BI. Learners are guided through the intricacies of data modeling, creating tables, and the functionalities of the report tab.
Continuing the journey through Power BI, the lectures delve into calculated tables, clustered column charts, stacked column charts, and various visualization techniques. The process of importing Excel data, publishing reports, and implementing themes and tabs is elucidated. An in-depth understanding of DAX is provided, with a focus on aggregations, counting functions, and logical functions. The section concludes with a comprehensive exploration of various DAX functions, providing learners with a robust toolkit for data analysis.
This extensive course equips learners with the skills and knowledge necessary to navigate the complexities of Microsoft Power BI, from its foundational features to advanced data analysis and visualization techniques using DAX. The structured approach ensures a seamless learning experience for beginners and those looking to enhance their proficiency in Power BI.
Who this course is for:
Business Analysts: Professionals who need to analyze and visualize data for business insights.
Data Analysts: Individuals responsible for collecting, processing, and analyzing data sets to inform business decisions.
Data Scientists: Those who want to enhance their data visualization skills and use Power BI for effective communication of insights.
Business Intelligence Professionals: Professionals working in the field of BI who want to expand their knowledge and skills with Power BI.
IT Professionals: Individuals in IT roles aiming to leverage Power BI for data analysis and reporting.
Managers and Decision-Makers: Executives and decision-makers who want to understand and interpret data-driven insights using Power BI.
Students and Aspiring Data Professionals: Those who are studying or aspiring to enter the field of data analytics, business intelligence, or data science.
This course is suitable for a wide range of professionals and learners who wish to harness the power of Power BI for effective data analysis and visualization in their respective domains.

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EDUCBA Bridging the Gap

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