Lynda - Power BI Data Methods 收录时间:2019-11-19 00:26:58 文件大小:1GB 下载次数:38 最近下载:2021-01-10 09:50:35 磁力链接: magnet:?xt=urn:btih:3fa550a0fa4c898fa233abb862c5ab1a2ecd6e63 立即下载 复制链接 文件列表 Exercise Files/Ex_Files_Power_BI_Data_Methods.zip 744MB 10 - Leveraging M language Custom Functions/02 - Converting queries into functions.mp4 24MB 07 - Transforming Data Enrichment/01 - Leveraging text formulas.mp4 18MB 09 - Leveraging M Language Objects/08 - Combining list objects.mp4 16MB 07 - Transforming Data Enrichment/05 - Combining binary files with formulas.mp4 16MB 04 - Extracting Data Web and Other Options/01 - Connecting to web tables.mp4 16MB 10 - Leveraging M language Custom Functions/01 - Setting up custom functions.mp4 16MB 07 - Transforming Data Enrichment/04 - Leveraging date formulas.mp4 16MB 06 - Transforming Data Integration/05 - Pivoting data.mp4 16MB 11 - Loading Data/04 - Joining sets of data.mp4 15MB 04 - Extracting Data Web and Other Options/03 - Querying REST API connections.mp4 15MB 10 - Leveraging M language Custom Functions/03 - Configuring custom filtering.mp4 15MB 11 - Loading Data/03 - Refreshing data.mp4 13MB 02 - Extracting Data Files/05 - Connecting to folders.mp4 13MB 06 - Transforming Data Integration/02 - Introducing list and record objects.mp4 13MB 05 - Transforming Data Cleaning/10 - Accessing native query in cleaning.mp4 13MB 09 - Leveraging M Language Objects/07 - Looping with lists.mp4 13MB 06 - Transforming Data Integration/08 - Accessing native query in integration.mp4 11MB 08 - Leveraging M Language Logic and Syntax/03 - Renaming steps in M.mp4 11MB 05 - Transforming Data Cleaning/03 - Making initial field transformations.mp4 10MB 03 - Extracting Data Databases/01 - Connecting to databases.mp4 10MB 07 - Transforming Data Enrichment/06 - Accessing native query in enrichment.mp4 9MB 06 - Transforming Data Integration/01 - Introducing table objects.mp4 9MB 11 - Loading Data/02 - Fixing errors.mp4 9MB 06 - Transforming Data Integration/03 - Working with binary objects.mp4 8MB 02 - Extracting Data Files/04 - Connecting to a PDF file.mp4 8MB 08 - Leveraging M Language Logic and Syntax/01 - Working with Query Editor steps.mp4 8MB 05 - Transforming Data Cleaning/09 - Filtering and removing duplicates.mp4 7MB 09 - Leveraging M Language Objects/02 - Creating list objects.mp4 7MB 09 - Leveraging M Language Objects/06 - Creating date tables.mp4 7MB 05 - Transforming Data Cleaning/04 - Splitting fields.mp4 7MB 08 - Leveraging M Language Logic and Syntax/06 - Connecting to zipped binary data.mp4 7MB 02 - Extracting Data Files/03 - Connecting to an Excel file.mp4 6MB 08 - Leveraging M Language Logic and Syntax/05 - Adding data types as custom M code.mp4 6MB 09 - Leveraging M Language Objects/03 - Referencing a list as a column in a table.mp4 6MB 03 - Extracting Data Databases/03 - Query folding and native queries.mp4 6MB 05 - Transforming Data Cleaning/08 - Removing or replacing values.mp4 6MB 11 - Loading Data/01 - Configuring loading options.mp4 6MB 05 - Transforming Data Cleaning/07 - Transforming numerical fields.mp4 6MB 02 - Extracting Data Files/01 - Connecting to CSV or text files.mp4 6MB 07 - Transforming Data Enrichment/02 - Conditional formulas.mp4 6MB 09 - Leveraging M Language Objects/01 - Utilizing parameters.mp4 6MB 04 - Extracting Data Web and Other Options/05 - Installing Python.mp4 6MB 08 - Leveraging M Language Logic and Syntax/04 - Consolidating M steps.mp4 5MB 05 - Transforming Data Cleaning/02 - Leveraging data types.mp4 5MB 04 - Extracting Data Web and Other Options/06 - Running Python scripts.mp4 5MB 05 - Transforming Data Cleaning/06 - Cleaning text fields.mp4 5MB 04 - Extracting Data Web and Other Options/04 - Configuring OData feeds.mp4 5MB 07 - Transforming Data Enrichment/03 - Filling up or down columns.mp4 5MB 04 - Extracting Data Web and Other Options/02 - Querying API data.mp4 5MB 09 - Leveraging M Language Objects/05 - Leveraging list functions.mp4 5MB 11 - Loading Data/05 - Composite models.mp4 5MB 06 - Transforming Data Integration/06 - Transposing data.mp4 4MB 09 - Leveraging M Language Objects/04 - Leveraging record objects.mp4 4MB 06 - Transforming Data Integration/07 - Unpivoting data.mp4 4MB 03 - Extracting Data Databases/02 - Comparing data connection modes.mp4 4MB 05 - Transforming Data Cleaning/05 - Merging fields.mp4 4MB 06 - Transforming Data Integration/04 - Grouping data.mp4 4MB 02 - Extracting Data Files/02 - Manually entering data.mp4 4MB 01 - Introduction/04 - Focus on Power Query.mp4 4MB 01 - Introduction/01 - The Power BI ecosystem.mp4 4MB 01 - Introduction/02 - What is Power BI.mp4 3MB 01 - Introduction/05 - Course considerations.mp4 3MB 08 - Leveraging M Language Logic and Syntax/02 - Breaking down syntax.mp4 3MB 01 - Introduction/03 - Understanding ETL (extract, transform, and load).mp4 3MB 05 - Transforming Data Cleaning/01 - Leveraging metadata.mp4 2MB 12 - Conclusion/01 - Next steps.mp4 1MB 07 - Transforming Data Enrichment/01 - Leveraging text formulas.srt 11KB 04 - Extracting Data Web and Other Options/03 - Querying REST API connections.srt 10KB 10 - Leveraging M language Custom Functions/02 - Converting queries into functions.srt 10KB 11 - Loading Data/04 - Joining sets of data.srt 9KB 06 - Transforming Data Integration/05 - Pivoting data.srt 9KB 10 - Leveraging M language Custom Functions/01 - Setting up custom functions.srt 9KB 06 - Transforming Data Integration/02 - Introducing list and record objects.srt 8KB 04 - Extracting Data Web and Other Options/01 - Connecting to web tables.srt 8KB 07 - Transforming Data Enrichment/05 - Combining binary files with formulas.srt 8KB 09 - Leveraging M Language Objects/07 - Looping with lists.srt 8KB 11 - Loading Data/03 - Refreshing data.srt 8KB 03 - Extracting Data Databases/01 - Connecting to databases.srt 8KB 07 - Transforming Data Enrichment/04 - Leveraging date formulas.srt 7KB 02 - Extracting Data Files/05 - Connecting to folders.srt 7KB 05 - Transforming Data Cleaning/03 - Making initial field transformations.srt 7KB 05 - Transforming Data Cleaning/10 - Accessing native query in cleaning.srt 6KB 06 - Transforming Data Integration/08 - Accessing native query in integration.srt 6KB 10 - Leveraging M language Custom Functions/03 - Configuring custom filtering.srt 6KB 09 - Leveraging M Language Objects/08 - Combining list objects.srt 6KB 06 - Transforming Data Integration/01 - Introducing table objects.srt 6KB 08 - Leveraging M Language Logic and Syntax/03 - Renaming steps in M.srt 5KB 08 - Leveraging M Language Logic and Syntax/01 - Working with Query Editor steps.srt 5KB 09 - Leveraging M Language Objects/02 - Creating list objects.srt 5KB 03 - Extracting Data Databases/03 - Query folding and native queries.srt 5KB 11 - Loading Data/02 - Fixing errors.srt 4KB 07 - Transforming Data Enrichment/06 - Accessing native query in enrichment.srt 4KB 11 - Loading Data/01 - Configuring loading options.srt 4KB 06 - Transforming Data Integration/03 - Working with binary objects.srt 4KB 05 - Transforming Data Cleaning/04 - Splitting fields.srt 4KB 09 - Leveraging M Language Objects/06 - Creating date tables.srt 4KB 02 - Extracting Data Files/03 - Connecting to an Excel file.srt 4KB 05 - Transforming Data Cleaning/02 - Leveraging data types.srt 4KB 09 - Leveraging M Language Objects/03 - Referencing a list as a column in a table.srt 4KB 07 - Transforming Data Enrichment/02 - Conditional formulas.srt 4KB 05 - Transforming Data Cleaning/09 - Filtering and removing duplicates.srt 4KB 03 - Extracting Data Databases/02 - Comparing data connection modes.srt 4KB 02 - Extracting Data Files/04 - Connecting to a PDF file.srt 4KB 05 - Transforming Data Cleaning/08 - Removing or replacing values.srt 4KB 09 - Leveraging M Language Objects/01 - Utilizing parameters.srt 4KB 01 - Introduction/04 - Focus on Power Query.srt 3KB 08 - Leveraging M Language Logic and Syntax/06 - Connecting to zipped binary data.srt 3KB 04 - Extracting Data Web and Other Options/05 - Installing Python.srt 3KB 04 - Extracting Data Web and Other Options/02 - Querying API data.srt 3KB 02 - Extracting Data Files/01 - Connecting to CSV or text files.srt 3KB 08 - Leveraging M Language Logic and Syntax/05 - Adding data types as custom M code.srt 3KB 01 - Introduction/02 - What is Power BI.srt 3KB 05 - Transforming Data Cleaning/06 - Cleaning text fields.srt 3KB 08 - Leveraging M Language Logic and Syntax/04 - Consolidating M steps.srt 3KB 01 - Introduction/03 - Understanding ETL (extract, transform, and load).srt 3KB 05 - Transforming Data Cleaning/07 - Transforming numerical fields.srt 3KB 11 - Loading Data/05 - Composite models.srt 3KB 05 - Transforming Data Cleaning/05 - Merging fields.srt 3KB 06 - Transforming Data Integration/06 - Transposing data.srt 3KB 06 - Transforming Data Integration/07 - Unpivoting data.srt 3KB 08 - Leveraging M Language Logic and Syntax/02 - Breaking down syntax.srt 3KB 04 - Extracting Data Web and Other Options/04 - Configuring OData feeds.srt 2KB 04 - Extracting Data Web and Other Options/06 - Running Python scripts.srt 2KB 07 - Transforming Data Enrichment/03 - Filling up or down columns.srt 2KB 01 - Introduction/05 - Course considerations.srt 2KB 06 - Transforming Data Integration/04 - Grouping data.srt 2KB 09 - Leveraging M Language Objects/05 - Leveraging list functions.srt 2KB 05 - Transforming Data Cleaning/01 - Leveraging metadata.srt 2KB 02 - Extracting Data Files/02 - Manually entering data.srt 2KB 09 - Leveraging M Language Objects/04 - Leveraging record objects.srt 2KB 01 - Introduction/01 - The Power BI ecosystem.srt 898B 12 - Conclusion/01 - Next steps.srt 754B NFO.txt 218B