Power BI Data Methods (2024)

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[ FreeCourseWeb.com ] Power BI Data Methods (2024)
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 01 - Introduction
    • 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)
    • 02 - What you should know.mp4 (1.5 MB)
    • 02 - What you should know.srt (1.9 KB)
    • 03 - Course project overview.mp4 (14.7 MB)
    • 03 - Course project overview.srt (9.3 KB)
    02 - 1. Extracting Data from Files
    • 01 - Working with Power Query.mp4 (4.6 MB)
    • 01 - Working with Power Query.srt (3.5 KB)
    • 02 - The extract, transform, load (ETL) framework.mp4 (3.7 MB)
    • 02 - The extract, transform, load (ETL) framework.srt (4.3 KB)
    • 03 - Power Query objects.mp4 (4.4 MB)
    • 03 - Power Query objects.srt (3.6 KB)
    03 - 2. Extracting Data from Files
    • 01 - Connecting to text files.mp4 (16.9 MB)
    • 01 - Connecting to text files.srt (10.5 KB)
    • 02 - Connecting to CSV files.mp4 (14.6 MB)
    • 02 - Connecting to CSV files.srt (8.2 KB)
    • 03 - Connecting to Excel files.mp4 (8.2 MB)
    • 03 - Connecting to Excel files.srt (5.7 KB)
    • 04 - Connecting to online Excel files.mp4 (10.4 MB)
    • 04 - Connecting to online Excel files.srt (5.8 KB)
    • 05 - Connecting to PDF files.mp4 (11.2 MB)
    • 05 - Connecting to PDF files.srt (6.8 KB)
    • 06 - Connecting to images as data.mp4 (11.4 MB)
    • 06 - Connecting to images as data.srt (6.3 KB)
    • 07 - Setting up folder connection.mp4 (15.5 MB)
    • 07 - Setting up folder connection.srt (10.3 KB)
    • 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)
    • 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 (6.0 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)
    04 - 3. Transforming Data with Cleaning Operations
    • 01 - Cleaning text fields.mp4 (7.0 MB)
    • 01 - Cleaning text fields.srt (4.9 KB)
    • 02 - Removing or replacing values.mp4 (6.8 MB)
    • 02 - Removing or replacing values.srt (4.4 KB)
    • 03 - Splitting and concatenating fields.mp4 (9.3 MB)
    • 03 - Splitting and concatenating fields.srt (6.4 KB)
    • 04 - Text formulas.mp4 (9.2 MB)
    • 04 - Text formulas.srt (6.2 KB)
    • 05 - Filtering or removing duplicates.mp4 (12.0 MB)
    • 05 - Filtering or removing duplicates.srt (7.0 KB)
    • 06 - Filling up and filling down.mp4 (2.6 MB)
    • 06 - Filling up and filling down.srt (2.3 KB)
    • 07 - Transforming numerical fields.mp4 (6.7 MB)
    • 07 - Transforming numerical fields.srt (4.0 KB)
    • 08 - Challenge Add a new column.mp4 (907.7 KB)
    • 08 - Challenge Add a new column.srt (0.6 KB)
    • 09 - Solution Add a new column.mp4 (3.4 MB)
    • 09 - Solution Add a new column.srt (2.2 KB)
    05 - 4. Working with Dates and Times
    • 01 - Dates functions.mp4 (16.2 MB)
    • 01 - Dates functions.srt (9.6 KB)
    • 02 - Creating a dates table.mp4 (8.0 MB)
    • 02 - Creating a dates table.srt (6.5 KB)
    • 03 - Working with different time zones.mp4 (6.9 MB)
    • 03 - Working with different time zones.srt (4.9 KB)
    • 04 - Challenge Add a Date field.mp4 (958.2 KB)
    • 04 - Challenge Add a Date field.srt (0.7 KB)
    • 05 - Solution Add a Date field.mp4 (3.7 MB)
    • 05 - Solution Add a Date field.srt (2.2 KB)
    06 - 5. Data Functions
    • 01 - Using conditional functions.mp4 (16.9 MB)
    • 01 - Using conditional functions.srt (8.2 KB)
    • 02 - Transposing tables.mp4 (5.1 MB)
    • 02 - Transposing tables.srt (4.5 KB)
    • 03 - Grouping fields and values.mp4 (9.6 MB)
    • 03 - Grouping fields and values.srt (6.3 KB)
    • 04 - Merging and appending data.mp4 (13.2 MB)
    • 04 - Merging and appending data.srt (6.9 KB)
    • 05 - Pivoting and unpivoting data.mp4 (12.8 MB)
    • 05 - Pivoting and unpivoting data.srt (8.5 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)
    • 08 - Adding data types in M code.mp4 (14.8 MB)
    • 08 - Adding data types in M code.srt (6.3 KB)
    07 - 6. Relational Databases and Queries
    • 01 - Working with relational databases.mp4 (8.3 MB)
    • 01 - Working with relational databases.srt (7.3 KB)
    • 02 - Query folding.mp4 (10.2 MB)
    • 02 - Query folding.srt (6.8 KB)
    • 03 - Working with multidimensional databases.mp4 (7.8 MB)
    • 03 - Working with multidimensional databases.srt (6.2 KB)
    08 - 7. Loading Data
    • 01 - Loading data.mp4 (8.8 MB)
    • 01 - Loading data.srt (7.6 KB)
    • 02 - Managing errors.mp4 (7.7 MB)
    • 02 - Managing errors.srt (6.7 KB)
    • 03 - Refreshing data.mp4 (10.8 MB)
    • 03 - Refreshing data.srt (6.9 KB)
    09 - Conclusion
    • 01 - Continuing on with Power BI.mp4 (1.8 MB)
    • 01 - Continuing on with Power BI.srt (1.0 KB)
    • Bonus Resources.txt (0.4 KB)
      • Ex_Files_Power_BI_Data_Methods

      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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Power BI Data Methods (2024)

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449.4 MB
seeders:11
leechers:8
Power BI Data Methods (2024)

Torrent hash: D2B52B828DFCC3070CE7E2E855D6A4EACDCD8C3B