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Power BI Mastery: Expert Techniques for Dynamic Dashboards

Provide participants with advanced techniques and methods to build dynamic and effective dashboards in Power BI

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Giới thiệu khóa học

Power BI Mastery: Expert Techniques for Dynamic Dashboards is one of the advanced Power BI courses, designed for those who already have basic knowledge and experience with this tool. The course will provide participants with advanced techniques and methods to build dynamic and effective dashboards in Power BI. 

Some of the key topics covered in the course include: 

1. Designing interactive and visually appealing dashboards: Learn how to use Power BI's advanced features to create visually stunning, highly interactive, and navigable dashboards. 

2. Building effective data models: Learn how to design complex data models, utilizing advanced features such as DAX, Relationships, and Calculated Columns to optimize performance and user experience. 

3. Deploying and sharing dashboards: Learn how to share and deploy the dashboards you have built in Power BI with teams and organizations. 

4. Integrating and automating workflows: Learn how to connect Power BI with other data sources and automate report-generation processes. 

5. Other advanced topics: Including topics such as big data analysis, artificial intelligence in Power BI, and the latest trends in the data analytics industry. 

By the end of the course, participants will have acquired in-depth skills in building and deploying dynamic and effective dashboards in Power BI, capable of meeting the complex requirements of data analytics projects.

Nội dung khóa học

8 Phần 40 Bài 02h 06p
Phần 1: Introduction 2 bài học
Bài 1: Introduction 00:00:50
Bài 2: Lecturer Information 00:01:05
Phần 2: Business Understanding 3 bài học
Bài 3: Understand business requirements, what questions are on table 00:01:48
Bài 4: Raw data overview 00:04:19
Bài 5: Relationship table 00:02:44
Phần 3: Data Transformation & Modelling 3 bài học
Bài 6: Get data 00:01:01
Bài 7: Delete Relationship, Change correct one 00:01:13
Bài 8: Use First Row as Header, New Dimension Table: Manager 00:02:29
Phần 4: Data Visualization 12 bài học
Bài 9: More about Date Table 00:01:44
Bài 10: Format date columh to Mmm - yy 00:01:00
Bài 11: Create a table of measure: Revenue & First Measure 00:03:40
Bài 12: Advanced Line Chart 00:08:26
Bài 13: Fix X-axis label issue 00:01:52
Bài 14: Dynamic Chart Title 00:05:02
Bài 15: MoM Growth Rate (DAX) 00:02:52
Bài 16: Variance Month (DAX) 00:02:14
Bài 17: Subtitle 00:05:35
Bài 18: Subtitle (Fix) 00:01:51
Bài 19: Color Formatting 00:02:59
Bài 20: Revenue Reporting Year (Missing) 00:01:04
Phần 5: Advanced KPI Chart 5 bài học
Bài 21: What is OTD? 00:01:07
Bài 22: OTD Formula - Understand the logic 00:05:07
Bài 23: OTD DAX Function (P1) 00:02:51
Bài 24: OTD Report Month 00:01:40
Bài 25: OTD Report Year 00:03:38
Phần 6: Combo Bar Chart - RY vs LY vs Target 6 bài học
Bài 26: Chart to compare RM vs LY vs Target 00:01:09
Bài 27: Revenue RM Chart 00:05:06
Bài 28: Revenue LY Chart 00:06:42
Bài 29: Target Point with Error bars 00:04:34
Bài 30: Formatting Charts: Layout, Background & Others 00:04:09
Bài 31: Organize Chart for Grouping 00:04:36
Phần 7: Combo Chart & Lollipop 5 bài học
Bài 32: Introduction to Lollipop & Overlap bar Chart 00:01:30
Bài 33: Top 3 Companies bring most Revenue (RM vs RY) 00:04:44
Bài 34: Calculate Average Order By Month & Year using DAX 00:07:37
Bài 35: Overlap bar Chart 00:05:29
Bài 36: Lollipop Chart 00:05:18
Phần 8: Get Value from TOPN Table 4 bài học
Bài 37: How Get Value (from Text) looks like 00:00:49
Bài 38: Groupby Table 00:01:28
Bài 39: Get Value Text from TOP1 Using DAX 00:04:15
Bài 40: Decorate/ Write down insight, info for Dashboard using Text Box 00:01:21

Thông tin giảng viên

MCNA Technology School
MCNA Technology School

Giảng viên

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MCNA TECHNOLOGY SCHOOL
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Advance Analytics | Data Warehouse | RPA (Robotic Process Automation) | Education Competency

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

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