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种子名称： Lynda - Power BI Data Methods
文件类型： 视频
文件数目： 66个文件
文件大小： 537.74 MB
收录时间： 2020-9-3 19:57
已经下载： 3次
资源热度： 114
最近下载： 2024-6-24 00:51

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Lynda - Power BI Data Methods.torrent

01 - Introduction/01 - The Power BI ecosystem.mp43.54MB

01 - Introduction/02 - What is Power BI.mp43.01MB

01 - Introduction/03 - Understanding ETL (extract, transform, and load).mp42.72MB

01 - Introduction/04 - Focus on Power Query.mp43.59MB

01 - Introduction/05 - Course considerations.mp42.78MB

02 - Extracting Data Files/01 - Connecting to CSV or text files.mp45.93MB

02 - Extracting Data Files/02 - Manually entering data.mp43.6MB

02 - Extracting Data Files/03 - Connecting to an Excel file.mp46.47MB

02 - Extracting Data Files/04 - Connecting to a PDF file.mp47.99MB

02 - Extracting Data Files/05 - Connecting to folders.mp413.37MB

03 - Extracting Data Databases/01 - Connecting to databases.mp410.19MB

03 - Extracting Data Databases/02 - Comparing data connection modes.mp43.95MB

03 - Extracting Data Databases/03 - Query folding and native queries.mp46.39MB

04 - Extracting Data Web and Other Options/01 - Connecting to web tables.mp416MB

04 - Extracting Data Web and Other Options/02 - Querying API data.mp44.82MB

04 - Extracting Data Web and Other Options/03 - Querying REST API connections.mp414.71MB

04 - Extracting Data Web and Other Options/04 - Configuring OData feeds.mp44.98MB

04 - Extracting Data Web and Other Options/05 - Installing Python.mp45.53MB

04 - Extracting Data Web and Other Options/06 - Running Python scripts.mp45.01MB

05 - Transforming Data Cleaning/01 - Leveraging metadata.mp42.49MB

05 - Transforming Data Cleaning/02 - Leveraging data types.mp45.4MB

05 - Transforming Data Cleaning/03 - Making initial field transformations.mp410.27MB

05 - Transforming Data Cleaning/04 - Splitting fields.mp46.81MB

05 - Transforming Data Cleaning/05 - Merging fields.mp43.88MB

05 - Transforming Data Cleaning/06 - Cleaning text fields.mp45MB

05 - Transforming Data Cleaning/07 - Transforming numerical fields.mp45.94MB

05 - Transforming Data Cleaning/08 - Removing or replacing values.mp46.29MB

05 - Transforming Data Cleaning/09 - Filtering and removing duplicates.mp47.39MB

05 - Transforming Data Cleaning/10 - Accessing native query in cleaning.mp412.9MB

06 - Transforming Data Integration/01 - Introducing table objects.mp48.8MB

06 - Transforming Data Integration/02 - Introducing list and record objects.mp412.95MB

06 - Transforming Data Integration/03 - Working with binary objects.mp48.28MB

06 - Transforming Data Integration/04 - Grouping data.mp43.86MB

06 - Transforming Data Integration/05 - Pivoting data.mp415.51MB

06 - Transforming Data Integration/06 - Transposing data.mp44.45MB

06 - Transforming Data Integration/07 - Unpivoting data.mp44.2MB

06 - Transforming Data Integration/08 - Accessing native query in integration.mp411.38MB

07 - Transforming Data Enrichment/01 - Leveraging text formulas.mp418.06MB

07 - Transforming Data Enrichment/02 - Conditional formulas.mp45.78MB

07 - Transforming Data Enrichment/03 - Filling up or down columns.mp44.93MB

07 - Transforming Data Enrichment/04 - Leveraging date formulas.mp415.52MB

07 - Transforming Data Enrichment/05 - Combining binary files with formulas.mp416.13MB

07 - Transforming Data Enrichment/06 - Accessing native query in enrichment.mp49.22MB

08 - Leveraging M Language Logic and Syntax/01 - Working with Query Editor steps.mp47.7MB

08 - Leveraging M Language Logic and Syntax/02 - Breaking down syntax.mp42.76MB

08 - Leveraging M Language Logic and Syntax/03 - Renaming steps in M.mp410.95MB

08 - Leveraging M Language Logic and Syntax/04 - Consolidating M steps.mp45.41MB

08 - Leveraging M Language Logic and Syntax/05 - Adding data types as custom M code.mp46.43MB

08 - Leveraging M Language Logic and Syntax/06 - Connecting to zipped binary data.mp46.76MB

09 - Leveraging M Language Objects/01 - Utilizing parameters.mp45.53MB

09 - Leveraging M Language Objects/02 - Creating list objects.mp47.28MB

09 - Leveraging M Language Objects/03 - Referencing a list as a column in a table.mp46.42MB

09 - Leveraging M Language Objects/04 - Leveraging record objects.mp44.4MB

09 - Leveraging M Language Objects/05 - Leveraging list functions.mp44.75MB

09 - Leveraging M Language Objects/06 - Creating date tables.mp47.18MB

09 - Leveraging M Language Objects/07 - Looping with lists.mp412.64MB

09 - Leveraging M Language Objects/08 - Combining list objects.mp416.45MB

10 - Leveraging M language Custom Functions/01 - Setting up custom functions.mp415.56MB

10 - Leveraging M language Custom Functions/02 - Converting queries into functions.mp424.37MB

10 - Leveraging M language Custom Functions/03 - Configuring custom filtering.mp414.59MB

11 - Loading Data/01 - Configuring loading options.mp45.95MB

11 - Loading Data/02 - Fixing errors.mp48.55MB

11 - Loading Data/03 - Refreshing data.mp413.44MB

11 - Loading Data/04 - Joining sets of data.mp414.76MB

11 - Loading Data/05 - Composite models.mp44.54MB

12 - Conclusion/01 - Next steps.mp41.24MB