Udemy - Data Science Bootcamp with Power BI and Python

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Udemy - Data Science Bootcamp with Power BI and Python (Size: 757.1 MB)
  1. Bar chart.mp4 27.5 MB
  1. Bar chart.srt 6.2 KB
  1. Installing package and defining path.mp4 19.1 MB
  1. Installing package and defining path.srt 4.4 KB
  1. Introduction.mp4 18.9 MB
  1. Introduction.srt 2.9 KB
  1. Pie chart.mp4 42 MB
  1. Pie chart.srt 8.9 KB
  1. Row deletion and Column SPLIT.mp4 60.4 MB
  1. Row deletion and Column SPLIT.srt 8.3 KB
  1. Slicer- Basics.mp4 20.8 MB
  1. Slicer- Basics.srt 4.2 KB
  101 Python dataset.xlsx 9.3 KB
  102 Python dataset with continent .xlsx 9.6 KB
  121 python- line chart.pbix 81.2 KB
  122 python- violin chart.pbix 34.6 KB
  2 pie chart.pbix 87.2 KB
  2. Creating a Line chart with matplotlib.mp4 39.5 MB
  2. Creating a Line chart with matplotlib.srt 8.3 KB
  2. Line chart.mp4 28.4 MB
  2. Line chart.srt 5.8 KB
  2. Replace Column Values.mp4 32 MB
  2. Replace Column Values.srt 4.9 KB
  2. Resource files.html 204.8 B
  2. Ring chart.mp4 35.5 MB
  2. Ring chart.srt 7 KB
  2. Slicers- Date Slicer.mp4 26.2 MB
  2. Slicers- Date Slicer.srt 5 KB
  3. Column MERGE.mp4 29 MB
  3. Column MERGE.srt 4.2 KB
  3. Creating a Measure Calculated Field for Gauge Chart.mp4 46.6 MB
  3. Creating a Measure Calculated Field for Gauge Chart.srt 9.5 KB
  3. Putting labels and creating dashed scatterplot.mp4 38.5 MB
  3. Putting labels and creating dashed scatterplot.srt 8.3 KB
  3. Treemap chart.mp4 32 MB
  3. Treemap chart.srt 6.6 KB
  4 python and append.pbix 65.3 KB
  4. Adding SUFFIX and PREFIX.mp4 30.8 MB
  4. Adding SUFFIX and PREFIX.srt 4.8 KB
  4. Table and Matrix.mp4 34.2 MB
  4. Table and Matrix.srt 7.2 KB
  4. Using Live Web data.mp4 36.6 MB
  4. Using Live Web data.srt 8.3 KB
  4. Violin chart with seaborn.mp4 23.4 MB
  4. Violin chart with seaborn.srt 5.4 KB
  5. Add and Transform Column- Extract function.mp4 24.1 MB
  5. Add and Transform Column- Extract function.srt 5.5 KB
  5. Drill Down Table and Matrix.mp4 26.9 MB
  5. Drill Down Table and Matrix.srt 4.8 KB
  5. More on Violin chart.mp4 25.6 MB
  5. More on Violin chart.srt 5.9 KB
  6. Adding Conditional and Index column.mp4 40.1 MB
  6. Adding Conditional and Index column.srt 9.4 KB
  7. Date functions in Power Query.mp4 18.4 MB
  7. Date functions in Power Query.srt 3.9 KB
  Bonus Resources.txt 307.2 B
  Get Bonus Downloads Here.url 204.8 B
  Grocery Price.xlsx 9.2 KB
  Ribbon Chart- Product Price by month.pbix 43.7 KB
  billing.xls 50 KB
  ▲ 60 total files

Description


Data Science Bootcamp with Power BI and Python
https://TutSala.com

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 25 lectures (1h 58m) | Size: 635.7 MB
Data Visualization | Data Analysis | Data Preparation | Data Cleaning | Python custom charts
What you'll learn:
You would be able to create various kinds of Visualization charts in Power BI
You would be able to create Bar, Line, Pie, Ring, Treemap, Table and Matrix
You could create Advanced custom charts by writing python code for Line chart, Scatterplot and Violin chart
You could create slicer filters and custom measure
You could perform Data Preparation and Cleaning using Power Query Editor
You could perform Split, Merge, Prefix, Suffix, Extract and other functions

Requirements
You should have either a trial or full version of Tableau Desktop or Tableau Online

Description
Welcome to this course on Data Science bootcamp with Microsoft Power BI and Python. In this course, you will learn various concepts with hands on examples where you will learn to create powerful BI reports and analytics dashboard. You will learn right from creating data visualization charts in Power BI with and without using python programs. You will learn to create various kinds of charts such as Bar, Pie, Ring, Treemap and more that are available as default charts in Power BI. Moreover you will also learn to create advanced custom charts by writing python programs such as line, scatterplot and violin chart. After that, you will also learn to create slicer filters for categories and date based on which you can filter the data that is visually displayed on the chart. This feature helps in focused decision making based on decided parameter such as region, category or date.

After learning lessons on Data Visualization, you will learn Data Cleaning and Data Preparation by using Power Query Editor. Here, you will learn to perform various kinds of operations on rows, columns or individual cells of the dataset. You will learn to create new custom column or field in a table based on a certain condition such as conditional column, and you will also learn to create index column. You will learn to perform row operations such as row deletion. For columns, you would learn to perform Split, Merge, Extract and other operations in Power Query editor.

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