Power BI Data Methods (2024)

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Power BI Data Methods (2024) (Size: 449.4 MB)
  01 - Cleaning text fields.mp4 7 MB
  01 - Cleaning text fields.srt 4.9 KB
  01 - Connecting to text files.mp4 16.9 MB
  01 - Connecting to text files.srt 10.5 KB
  01 - Continuing on with Power BI.mp4 1.8 MB
  01 - Continuing on with Power BI.srt 1 KB
  01 - Dates functions.mp4 16.2 MB
  01 - Dates functions.srt 9.6 KB
  01 - Loading data.mp4 8.8 MB
  01 - Loading data.srt 7.6 KB
  01 - The data at the core of Power BI.mp4 2.2 MB
  01 - The data at the core of Power BI.srt 1.2 KB
  01 - Using conditional functions.mp4 16.9 MB
  01 - Using conditional functions.srt 8.2 KB
  01 - Working with Power Query.mp4 4.6 MB
  01 - Working with Power Query.srt 3.5 KB
  01 - Working with relational databases.mp4 8.3 MB
  01 - Working with relational databases.srt 7.3 KB
  02 - Connecting to CSV files.mp4 14.6 MB
  02 - Connecting to CSV files.srt 8.2 KB
  02 - Creating a dates table.mp4 8 MB
  02 - Creating a dates table.srt 6.5 KB
  02 - Managing errors.mp4 7.7 MB
  02 - Managing errors.srt 6.7 KB
  02 - Query folding.mp4 10.2 MB
  02 - Query folding.srt 6.8 KB
  02 - Removing or replacing values.mp4 6.8 MB
  02 - Removing or replacing values.srt 4.4 KB
  02 - The extract, transform, load (ETL) framework.mp4 3.7 MB
  02 - The extract, transform, load (ETL) framework.srt 4.3 KB
  02 - Transposing tables.mp4 5.1 MB
  02 - Transposing tables.srt 4.5 KB
  02 - What you should know.mp4 1.5 MB
  02 - What you should know.srt 1.9 KB
  03 - Connecting to Excel files.mp4 8.2 MB
  03 - Connecting to Excel files.srt 5.7 KB
  03 - Course project overview.mp4 14.7 MB
  03 - Course project overview.srt 9.3 KB
  03 - Grouping fields and values.mp4 9.6 MB
  03 - Grouping fields and values.srt 6.3 KB
  03 - Power Query objects.mp4 4.4 MB
  03 - Power Query objects.srt 3.6 KB
  03 - Refreshing data.mp4 10.8 MB
  03 - Refreshing data.srt 6.9 KB
  03 - Splitting and concatenating fields.mp4 9.3 MB
  03 - Splitting and concatenating fields.srt 6.4 KB
  03 - Working with different time zones.mp4 6.9 MB
  03 - Working with different time zones.srt 4.9 KB
  03 - Working with multidimensional databases.mp4 7.8 MB
  03 - Working with multidimensional databases.srt 6.2 KB
  04 - Challenge Add a Date field.mp4 958.2 KB
  04 - Challenge Add a Date field.srt 716.8 B
  04 - Connecting to online Excel files.mp4 10.4 MB
  04 - Connecting to online Excel files.srt 5.8 KB
  04 - Merging and appending data.mp4 13.2 MB
  04 - Merging and appending data.srt 6.9 KB
  04 - Text formulas.mp4 9.2 MB
  04 - Text formulas.srt 6.2 KB
  05 - Connecting to PDF files.mp4 11.2 MB
  05 - Connecting to PDF files.srt 6.8 KB
  05 - Filtering or removing duplicates.mp4 12 MB
  05 - Filtering or removing duplicates.srt 7 KB
  05 - Pivoting and unpivoting data.mp4 12.8 MB
  05 - Pivoting and unpivoting data.srt 8.5 KB
  05 - Solution Add a Date field.mp4 3.7 MB
  05 - Solution Add a Date field.srt 2.2 KB
  06 - Connecting to images as data.mp4 11.4 MB
  06 - Connecting to images as data.srt 6.3 KB
  06 - Filling up and filling down.mp4 2.6 MB
  06 - Filling up and filling down.srt 2.3 KB
  06 - Parameters.mp4 11.7 MB
  06 - Parameters.srt 7.5 KB
  07 - Custom functions.mp4 17.2 MB
  07 - Custom functions.srt 9.2 KB
  07 - Setting up folder connection.mp4 15.5 MB
  07 - Setting up folder connection.srt 10.3 KB
  07 - Transforming numerical fields.mp4 6.7 MB
  07 - Transforming numerical fields.srt 4 KB
  08 - Adding data types in M code.mp4 14.8 MB
  08 - Adding data types in M code.srt 6.3 KB
  08 - Challenge Add a new column.mp4 907.7 KB
  08 - Challenge Add a new column.srt 614.4 B
  08 - Connecting to HTML and XML.mp4 9.5 MB
  08 - Connecting to HTML and XML.srt 7.1 KB
  09 - Connecting to JSON data.mp4 9.1 MB
  09 - Connecting to JSON data.srt 5.7 KB
  09 - Solution Add a new column.mp4 3.4 MB
  09 - Solution Add a new column.srt 2.2 KB
  10 - Connecting to APIs.mp4 9.4 MB
  10 - Connecting to APIs.srt 6.9 KB
  11 - Connecting to ODATA feeds.mp4 5.7 MB
  11 - Connecting to ODATA feeds.srt 3.4 KB
  12 - Connecting to GitHub.mp4 10.4 MB
  12 - Connecting to GitHub.srt 6.4 KB
  13 - Using an R script connector.mp4 8.4 MB
  13 - Using an R script connector.srt 6 KB
  14 - Using a Python script connector.mp4 5.9 MB
  14 - Using a Python script connector.srt 4.4 KB
  15 - Challenge Getting data.mp4 2.4 MB
  15 - Challenge Getting data.srt 1.6 KB
  16 - Solution Getting data.mp4 6.2 MB
  16 - Solution Getting data.srt 4.1 KB
  Analysis Services - Live Connection Mode.pbix 4.6 KB
  BLS API URL - Santa Barbara.txt 102.4 B
  Bonus Resources.txt 409.6 B
  Dates.pbix 21.8 KB
  Errors.pbix 41.8 KB
  Explore California.jpg?042148 22.3 KB
  Filling Values.pbix 13.3 KB
  Folder Connection.pbix 181.3 KB
  Get Bonus Downloads Here.url 204.8 B
  GitHub Connections.pbix 13.2 KB
  Golden Gate Bridge.jpg?042148 12.5 KB
  Image.pbix 51.9 KB
  Map.jpg?042148 20.2 KB
  Mountains.jpg?042148 12 KB
  Nature Watch.jpg?042148 4.3 KB
  Power Query Objects.pbix 13.2 KB
  Query Folding.pbix 13.3 KB
  Relational Databases.pbix 12.8 KB
  Santa Barbara Airport Weather 2022-2024.xlsx 81.2 KB
  Santa Barbara Airport Weather 2022.csv 80.7 KB
  Santa Barbara Airport Weather 2023.csv 67 KB
  Santa Barbara Airport Weather 2023.pdf 183.5 KB
  Santa Barbara Airport Weather 2024.csv 716.8 B
  Santa Barbara Employment.pbix 13.2 KB
  Santa Barbara Weather - January 1-2 2024.json.txt 4.2 KB
  Santa Barbara Weather.pbix 48.4 KB
  Splitting and Concatenation.pbix 22.8 KB
  Sunrise and Sunset Calculations.pbix 13.3 KB
  UTC and Pacific Datetimes.R 204.8 B
  Weather 1.pbix 57.5 KB
  Weather 2.pbix 60.4 KB
  Weather Stations.pbix 21.8 KB
  Weather.pbix 45.4 KB
  ghcnd-stations.txt 10.5 MB
  pandas DataFrame.py 204.8 B
  ▲ 192 total files

Description


Power BI Data Methods (2024)

https://FreeCourseWeb.com

Released 3/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Advanced | Genre: eLearning | Language: English + srt | Duration: 3h 12m | Size: 441 MB

Power BI is a powerful business intelligence tool designed to help users create dynamic interactive data visualizations and help you monitor data, analyze trends, and make smarter decisions. Before you can create any visuals though, you need to get your data into Power BI to use in the modeling process. In this course, Helen Wall helps you handle, import, and transform your data more efficiently, using the built-in power of Power Query. Helen shows you how to create ETL frameworks and use Power Query to extract data from multiple data sources, transform it through functionalities like grouping and pivoting, and load it into the Power BI model.

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