Power BI - Liga I
Elevate your understanding of Liga I with Microsoft Power BI.
This micro course enables you to harness real-time datasets to craft dynamic dashboards that monitor live match statistics, player movements, and team strategies.
Dive into the intricate details of the tournament and learn to visualize them effectively, making it easier for coaches, players, and fans to comprehend and appreciate the game's nuances.
This micro course enables you to harness real-time datasets to craft dynamic dashboards that monitor live match statistics, player movements, and team strategies.
Dive into the intricate details of the tournament and learn to visualize them effectively, making it easier for coaches, players, and fans to comprehend and appreciate the game's nuances.
Power BI Bootcamp
Liga I Data Lab
The Intro course is free
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Video Introduction
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Paid Section Preview
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Theory
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Case Study Preview
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Exercises
#2 Power Query Editor
Power Query
Text Based Query Editing
Split & Merge Text Format
Standard & Scientific
Statistics
Grouping & Aggregating Data
Group By Query
Advanced Group By Query
Pivoting & Unpivoting Data
Pivot
Text Based Query Editing
Split & Merge Text Format
Standard & Scientific
Statistics
Grouping & Aggregating Data
Group By Query
Advanced Group By Query
Pivoting & Unpivoting Data
Pivot
#3 Visualizations
Merging Queries
Application of Merging Queries
Video
Lookup Table vs Data Table
Table Relationships
Autodetect Relationships
Create/Edit New Relationships
Model Schema
Snowflake Schema
Visualization with PBI
Power BI's Report View
Card Reason
Bar Chart
Cards
Donut Charts
Advanced Column Charts
Treemaps
Maps
Slicer Filters
DashBoard
Matrices
Application of Merging Queries
Video
Lookup Table vs Data Table
Table Relationships
Autodetect Relationships
Create/Edit New Relationships
Model Schema
Snowflake Schema
Visualization with PBI
Power BI's Report View
Card Reason
Bar Chart
Cards
Donut Charts
Advanced Column Charts
Treemaps
Maps
Slicer Filters
DashBoard
Matrices
#4 Power Bi DAX
Data Analysis Expressions (DAX)
Math & Statistics Functions
Count Functions
Text Functions
Date & Time Functions
DAX Calculated Columns
AX Conditionals - IF
DAX Conditionals & Columns
DAX Conditionals - IF OR
DAX Measures - Maths
DAX Text Functions
DAX Count
DAX Date & Time - WEEKDAY()
DAX Date & Time - DATEDIFF()
DAX CALCULATE()
DAX ALL()
DAX RELATED()
Math & Statistics Functions
Count Functions
Text Functions
Date & Time Functions
DAX Calculated Columns
AX Conditionals - IF
DAX Conditionals & Columns
DAX Conditionals - IF OR
DAX Measures - Maths
DAX Text Functions
DAX Count
DAX Date & Time - WEEKDAY()
DAX Date & Time - DATEDIFF()
DAX CALCULATE()
DAX ALL()
DAX RELATED()
Data Labs
#5 Case Studies
A Data Lab is essentially a dynamic learning environment where we put into practice the latest skills we've acquired in Power BI through the League of your choosing.
In this section, our focus shifts to the realm of Liga I data.
Data Lab serves as a practical course where we immerse ourselves in hands-on Case Studies, applying our knowledge to gain insights and make data-driven decisions.
With each Case Study, we explore new dimensions of data analysis, allowing us to delve into the latest trends and uncover hidden patterns within the world of Liga I data.
In this section, our focus shifts to the realm of Liga I data.
Data Lab serves as a practical course where we immerse ourselves in hands-on Case Studies, applying our knowledge to gain insights and make data-driven decisions.
With each Case Study, we explore new dimensions of data analysis, allowing us to delve into the latest trends and uncover hidden patterns within the world of Liga I data.
Case Study #1: Scenario
Analysis Performance for FCSB
Suppose you currently work as a football analyst in a Romanian team.
You have access to a large number of metrics from all Liga 1 championship matches which took place in the past three seasons. We want you to analyze the performance of a team in the Liga 1 championship of the season 2022 - 2023.
The team you have to evaluate is FCSB.
Case Study #2: Scenario
Performance Analysis for U Craiova
Suppose you currently work as a football analyst in a Romanian team.
You have access to a large number of metrics from all Liga 1 championship matches which took place in the past three seasons. We want you to analyze the performance of a team in the Liga 1 championship of the season 2022 - 2023.
The team you have to evaluate is U Craiova.
Case Study #3: Scenario
Performance Analysis for Ciprian Deac
Suppose you currently work as a football analyst in a Romanian team.
You have access to a large number of metrics from all Liga 1 championship matches which took place in the past three seasons. We want you to analyze the performance of a player in the Liga 1 championship of the season 2022 - 2023.
The player you have to evaluate is Ciprian Deac.
Case Study #4: Scenario
Performance Analysis for Sepsi OSK
Suppose you currently work as a football analyst in a Romanian team.
You have access to a large number of metrics from all Liga I championship matches which took place in the past three seasons. We want you to analyze the performance of a team in the Liga I championship of the season 2022 - 2023.
The team you have to evaluate is Sepsi OSK.
Case Study #5: Scenario
Performance Analysis for Farul Constanta
Suppose you currently work as a football analyst in a Romanian team.
You have access to a large number of metrics from all Liga 1 championship matches which took place in the past three seasons. We want you to analyze the performance of a team in the Liga 1 championship of the season 2022 - 2023.
The team you have to evaluate is Farul Constanta.
Case Study #6: Scenario
Performance Analysis for FC Petrolul Ploieşti
Suppose you currently work as a football analyst in a Romanian team.
You have access to a large number of metrics from all Liga I championship matches. We want you to analyze the performance of a team for the Liga I championship of the season 2022 - 2023.
The team you have to evaluate is FC Petrolul Ploieşti.
Case Study #7: Scenario
Teams Performance Analysis for the Liga 1 in 2022-2023
Suppose you currently work as a football analyst in a Romanian team.
You have access to a large number of metrics from all Liga 1 championship matches which took place in 2022-2023.
We want you to compare the performance of the teams on all matches of last season's Liga 1 championship that these teams took part.
Case Study #8: Scenario
Analyzing Liga 1 Teams' Defensive Efforts 2022-2023
Suppose you currently work as a football analyst in a Romanian team.
You have access to a large number of metrics from all Liga 1 championship matches which took place in 2022-2023.
We want you to compare the defensive performance of the teams on all matches of last season's Liga 1 championship that these teams took part.
Case Study #9: Scenario
MVP Analysis for the match Farul Constanta and CFR Cluj
Suppose you currently work as a football analyst in a Romanian team.
You have access to a large number of metrics from all Liga 1 championship matches which took place in 2022-2023.
We want to compare the performance of the players who participated in the match between Farul Constanta and CFR Cluj on January 23rd and determine the Most Valuable Player (MVP) of the match.
Case Study #10: Scenario
Performance Analysis for Florinel Coman
Suppose you currently work as a football analyst in a Romanian team.
You have access to a large number of metrics from all Liga 1 championship matches which took place in the past three seasons. We want you to analyze the performance of a player in the Liga 1 championship of the season 2022 - 2023.
The player you have to evaluate is Florinel Coman.
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