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Power BI Data Methods

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Helen Wall

3:12:18

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  • 01 - The data at the core of Power BI.mp4
    00:38
  • 02 - What you should know.mp4
    01:01
  • 03 - Course project overview.mp4
    05:50
  • 01 - Working with Power Query.mp4
    02:09
  • 02 - The extract, transform, load (ETL) framework.mp4
    02:29
  • 03 - Power Query objects.mp4
    02:42
  • 01 - Connecting to text files.mp4
    06:57
  • 02 - Connecting to CSV files.mp4
    05:30
  • 03 - Connecting to Excel files.mp4
    03:32
  • 04 - Connecting to online Excel files.mp4
    03:45
  • 05 - Connecting to PDF files.mp4
    04:42
  • 06 - Connecting to images as data.mp4
    04:32
  • 07 - Setting up folder connection.mp4
    07:10
  • 08 - Connecting to HTML and XML.mp4
    04:30
  • 09 - Connecting to JSON data.mp4
    04:11
  • 10 - Connecting to APIs.mp4
    04:20
  • 11 - Connecting to ODATA feeds.mp4
    02:07
  • 12 - Connecting to GitHub.mp4
    04:06
  • 13 - Using an R script connector.mp4
    03:44
  • 14 - Using a Python script connector.mp4
    02:42
  • 15 - Challenge Getting data.mp4
    00:58
  • 16 - Solution Getting data.mp4
    03:09
  • 01 - Cleaning text fields.mp4
    02:58
  • 02 - Removing or replacing values.mp4
    02:49
  • 03 - Splitting and concatenating fields.mp4
    04:11
  • 04 - Text formulas.mp4
    04:22
  • 05 - Filtering or removing duplicates.mp4
    05:04
  • 06 - Filling up and filling down.mp4
    01:26
  • 07 - Transforming numerical fields.mp4
    02:48
  • 08 - Challenge Add a new column.mp4
    00:22
  • 09 - Solution Add a new column.mp4
    01:32
  • 01 - Dates functions.mp4
    07:32
  • 02 - Creating a dates table.mp4
    04:43
  • 03 - Working with different time zones.mp4
    03:28
  • 04 - Challenge Add a Date field.mp4
    00:26
  • 05 - Solution Add a Date field.mp4
    01:36
  • 01 - Using conditional functions.mp4
    06:28
  • 02 - Transposing tables.mp4
    02:50
  • 03 - Grouping fields and values.mp4
    03:46
  • 04 - Merging and appending data.mp4
    05:02
  • 05 - Pivoting and unpivoting data.mp4
    05:36
  • 06 - Parameters.mp4
    05:26
  • 07 - Custom functions.mp4
    06:38
  • 08 - Adding data types in M code.mp4
    04:25
  • 01 - Working with relational databases.mp4
    04:35
  • 02 - Query folding.mp4
    04:47
  • 03 - Working with multidimensional databases.mp4
    04:03
  • 01 - Loading data.mp4
    04:43
  • 02 - Managing errors.mp4
    04:23
  • 03 - Refreshing data.mp4
    05:05
  • 01 - Continuing on with Power BI.mp4
    00:30
  • Description


    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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    Follow me to see my latest published content on data science, analytics, and visualization! Aficionado of Power BI, AWS, Tableau, and Excel (including Power Query), and currently diving deep into the world of Python, R, and AI (including machine learning). Designer and developer of business intelligence dashboards and visualizations supporting many business functions and industries.
    LinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications. It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.
    • language english
    • Training sessions 51
    • duration 3:12:18
    • English subtitles has
    • Release Date 2024/05/24