Learn Data Analysis and Visualization With Power BI

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Learn Data Analysis and Visualization With Power BI [TutsNode.com] - Learn Data Analysis and Visualization With Power BI 2. Data Cleaning and Preparation
  • 20. Create Country dimension table.mp4 (61.2 MB)
  • 11.1 2020_data.csv (24.7 KB)
  • 1.1 Employees_flights.xlsx (23.5 KB)
  • 12.1 2021_data.csv (15.3 KB)
  • 9.1 2019_data.csv (15.2 KB)
  • 20.1 Country-code.csv (14.0 KB)
  • 20. Create Country dimension table.srt (8.7 KB)
  • 6. Split columns and change data types.srt (5.5 KB)
  • 16. Set proper data types in the dataset.srt (5.1 KB)
  • 1. Overview on the business dataset.srt (1.4 KB)
  • 23. Introduction to merge operator.srt (5.1 KB)
  • 2. Connect to data source.srt (1.6 KB)
  • 18. Introduction to Star Schema Model.srt (4.9 KB)
  • 9. Remove empty rows.srt (4.8 KB)
  • 5. Unpivoting columns.srt (1.9 KB)
  • 14. Append queries in the Query Editor.srt (4.7 KB)
  • 10. Identify the granular data level in the dataset.srt (4.5 KB)
  • 7. Other ways to Split columns.srt (4.5 KB)
  • 8. Introduction to M Language.srt (1.6 KB)
  • 11. Remove duplicated rows in the dataset.srt (4.5 KB)
  • 21. Create Product and Segment dimensions tables.srt (4.4 KB)
  • 27. Disable loading unneeded files into Power BI.srt (4.2 KB)
  • 3. Remove NA rows and use first row as headers names.srt (4.0 KB)
  • 4. Introduction to Pivot and Unpivot operators.srt (4.0 KB)
  • 17. Fix data conversion error.srt (3.8 KB)
  • 12. Connect to another data source.srt (2.6 KB)
  • 24. Merge queries in the Query Editor.srt (3.5 KB)
  • 22. Create Fact Sales table.srt (3.4 KB)
  • 26. More functions in Power Query Editor.srt (3.1 KB)
  • 16. Set proper data types in the dataset.mp4 (46.5 MB)
  • 19. Create Star Schema Model in Power BI.srt (2.9 KB)
  • 13. Introduction to Append operator.srt (3.1 KB)
  • 15. Introduction to data types in Power BI.srt (3.0 KB)
  • 10. Identify the granular data level in the dataset.mp4 (43.6 MB)
  • 23. Introduction to merge operator.mp4 (42.1 MB)
  • 25. Organize datasets in groups.srt (1.0 KB)
  • 7. Other ways to Split columns.mp4 (39.7 MB)
  • 14. Append queries in the Query Editor.mp4 (38.6 MB)
  • 11. Remove duplicated rows in the dataset.mp4 (38.1 MB)
  • 9. Remove empty rows.mp4 (37.5 MB)
  • 6. Split columns and change data types.mp4 (34.9 MB)
  • 17. Fix data conversion error.mp4 (30.0 MB)
  • 24. Merge queries in the Query Editor.mp4 (29.1 MB)
  • 27. Disable loading unneeded files into Power BI.mp4 (28.9 MB)
  • 21. Create Product and Segment dimensions tables.mp4 (28.6 MB)
  • 26. More functions in Power Query Editor.mp4 (26.5 MB)
  • 3. Remove NA rows and use first row as headers names.mp4 (24.9 MB)
  • 22. Create Fact Sales table.mp4 (24.2 MB)
  • 4. Introduction to Pivot and Unpivot operators.mp4 (23.1 MB)
  • 12. Connect to another data source.mp4 (22.8 MB)
  • 13. Introduction to Append operator.mp4 (18.5 MB)
  • 18. Introduction to Star Schema Model.mp4 (15.9 MB)
  • 5. Unpivoting columns.mp4 (13.4 MB)
  • 8. Introduction to M Language.mp4 (11.8 MB)
  • 19. Create Star Schema Model in Power BI.mp4 (11.1 MB)
  • 1. Overview on the business dataset.mp4 (10.1 MB)
  • 25. Organize datasets in groups.mp4 (8.6 MB)
  • 2. Connect to data source.mp4 (8.1 MB)
  • 15. Introduction to data types in Power BI.mp4 (8.1 MB)
1. Introduction
  • 1. Introduction to Course.srt (2.6 KB)
  • 2. Introduction to Section 1.srt (0.5 KB)
  • 5. Lean to do important setting in Power BI Desktop.srt (2.5 KB)
  • 3. What is Power BI.srt (4.8 KB)
  • 4. Install Power BI Desktop.srt (4.0 KB)
  • 6. Start Power BI Desktop.srt (3.2 KB)
  • 4. Install Power BI Desktop.mp4 (30.8 MB)
  • 3. What is Power BI.mp4 (21.3 MB)
  • 6. Start Power BI Desktop.mp4 (19.2 MB)
  • 5. Lean to do important setting in Power BI Desktop.mp4 (16.0 MB)
  • 1. Introduction to Course.mp4 (13.2 MB)
  • 2. Introduction to Section 1.mp4 (1.3 MB)
3. Data Visualization
  • 2. Create first chart.srt (6.6 KB)
  • 6. Formatting charts part-2.srt (5.2 KB)
  • 17. Prepare a time series dataset.srt (5.0 KB)
  • 14. Create a measure.srt (5.0 KB)
  • 18. Create a Line chart.srt (4.9 KB)
  • 15. Create a calculated column.srt (4.8 KB)
  • 8. Fix merging issues between queries.srt (4.6 KB)
  • 1. Introduction to Data Visualization.srt (4.2 KB)
  • 5. Formatting charts part-1.srt (4.0 KB)
  • 7. Add analytical lines.srt (3.7 KB)
  • 19. Drilling in Hierarchy.srt (3.5 KB)
  • 25. Logical functions in DAX.srt (3.4 KB)
  • 11. Add Slicer to charts.srt (3.4 KB)
  • 24. Date functions in DAX.srt (3.3 KB)
  • 21. Introduction to DAX Language.srt (3.3 KB)
  • 3. Filter data in charts.srt (3.2 KB)
  • 10. Advanced color formatting.srt (3.1 KB)
  • 12. Create a Map chart.srt (2.5 KB)
  • 22. Arithmetic functions in DAX.srt (2.1 KB)
  • 17.1 Sales_data.xlsx (411.2 KB)
  • 4. Use top N feature in filters.srt (1.9 KB)
  • 9. Create a TreeMap chart.srt (2.4 KB)
  • 20. Change themes of reports.srt (1.6 KB)
  • 16. Create a Pie chart.srt (1.6 KB)
  • 13. Measure vs Calculated column.srt (1.5 KB)
  • 26. Text concatenation functions in DAX.srt (1.5 KB)
  • 23. DAX operators.srt (1.4 KB)
  • 17. Prepare a time series dataset.mp4 (38.8 MB)
  • 2. Create first chart.mp4 (37.5 MB)
  • 15. Create a calculated column.mp4 (33.1 MB)
  • 18. Create a Line chart.mp4 (31.3 MB)
  • 8. Fix merging issues between queries.mp4 (30.2 MB)
  • 14. Create a measure.mp4 (29.6 MB)
  • 6. Formatting charts part-2.mp4 (29.4 MB)
  • 11. Add Slicer to charts.mp4 (27.4 MB)
  • 1. Introduction to Data Visualization.mp4 (25.8 MB)
  • 7. Add analytical lines.mp4 (22.9 MB)
  • 5. Formatting charts part-1.mp4 (22.5 MB)

  • Description


    Description

    Converting raw data to insightful diagrams and charts to make informative decisions is a crucial analytical skill in data science. You will in this course how to create powerful charts and perform data analysis. First, you will understand data visualization, and why data visualization. After that you will understand Power BI services and the use of each of them. After you became familiar with these services and their usage you will learn how to install and navigate in Power BI Desktop. After that, you will learn how to use advanced functions for data preparation and cleaning. You will learn to append and merge several datasets in one dataset to create thorough analytical charts. After that you will learn to convert your datasets to insightful charts using many useful functions. You will learn how to filter your data according to your business requirements. You will learn how to create measures and calculated columns for your own data analysis. You will have an introduction to DAX language where you can learn how to create new tables and columns based on your needs. After completing this course, you will be confidently able to add Power BI to the list of your analytical skills in your resume.

    Who this course is for

    All those that need to learn Data Visualization for data analysis and business analysis

    Requirements

    Basic knowledge of using computer operating system

    Last Updated 3/2022



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Learn Data Analysis and Visualization With Power BI

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1.3 GB
seeders:33
leechers:5
Learn Data Analysis and Visualization With Power BI

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