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Data Science Bootcamp with Power Bi and Python

Data Science Bootcamp with Power Bi and Python

Very User-Friendly. Easily one of the most prominent features of Power-Bi is just how easy it is to use. Compared to virtually every other solution for a data scientist to work with, Power-Bi makes basic and even more difficult data operations far easier.

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

Sale ends today

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.

Views Bestseller -- > 250+ Exercises - Data Science Bootcamp in Python

The course consists of 250 exercises (exercises + solutions) in data science with Python. Packages that you will use in the exercises: numpy.

  •  250+ Exercises – Data Science Bootcamp in Python. Improve your Python programming skills and solve over 250 data science exercises!

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