Data Visualization | Data Analysis | Data Preparation | Data Cleaning | Python custom charts

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.

 

You could use the skills learned in this course for various domains such as Data Science, Business Intelligence, Data Analysis, Data Preparation and Data Visualization.

 

Topics discussed under Data Visualization and Analytics with Python and Power BI-

 

Bar chart

 

Line chart

 

Pie chart

 

Ring chart

 

Treemap chart

 

Table and Matrix

 

Drill down

 

Install python libraries

 

Create line chart with matplotlib

 

Putting labels and creating a dashed line chart

 

Violin chart with seaborn

 

Slicer Filter

 

Date Slicer

 

Creating a calculated measure

 

Using live web data

 

Topics covered under Data preparation with Power Query-

 

Row deletion and column Split

 

Replace column values

 

Column Merge

 

Adding Suffix and Prefix

 

Add and transform column

 

Extract function

 

Adding conditional and Index column

 

Date function in power query

 

Who this course is for:

Anyone curious to learn Data Science with Power BI

People interested to learn Data Visualization and Data Preparation using Python and Power BI

IT professionals and Students interested to build their career around this domain

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