Data Science Bootcamp with Power Bi and Python

About Data Science Bootcamp with Power Bi and Python

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