Data Science Bootcamp with Power Bi and Python

Data Science Bootcamp with Power Bi and Python, available at $49.99, has an average rating of 4.65, with 28 lectures, 1 quizzes, based on 93 reviews, and has 12216 subscribers.

You will learn about 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 This course is ideal for individuals who are Anyone curious to learn Data Science with Power BI or People interested to learn Data Visualization and Data Preparation using Python and Power BI or IT professionals and Students interested to build their career around this domain It is particularly useful for Anyone curious to learn Data Science with Power BI or People interested to learn Data Visualization and Data Preparation using Python and Power BI or IT professionals and Students interested to build their career around this domain.

Enroll now: Data Science Bootcamp with Power Bi and Python

Summary

Title: Data Science Bootcamp with Power Bi and Python

Price: $49.99

Average Rating: 4.65

Number of Lectures: 28

Number of Quizzes: 1

Number of Published Lectures: 28

Number of Published Quizzes: 1

Number of Curriculum Items: 29

Number of Published Curriculum Objects: 29

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will 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

Who Should Attend

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

Target Audiences

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

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

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Resource files

Chapter 2: Getting Started with Power bi

Lecture 1: Bar chart

Lecture 2: Line chart

Chapter 3: Create Visualization charts

Lecture 1: Pie chart

Lecture 2: Ring chart

Lecture 3: Treemap chart

Lecture 4: Table and Matrix

Lecture 5: Drill Down Table and Matrix

Chapter 4: Data Visualization with Python

Lecture 1: Installing package and defining path

Lecture 2: Creating a Line chart with matplotlib

Lecture 3: Putting labels and creating dashed scatterplot

Lecture 4: Violin chart with seaborn

Lecture 5: More on Violin chart

Lecture 6: Stripplot part-1

Lecture 7: Stripplot part-2

Chapter 5: Slicer filters and more

Lecture 1: Slicer- Basics

Lecture 2: Slicers- Date Slicer

Lecture 3: Creating a Measure Calculated Field for Gauge Chart

Lecture 4: Using Live Web data

Chapter 6: Working with web data and creating Report

Lecture 1: Working with web data and creating Report

Chapter 7: Data Preparation with Power Query

Lecture 1: Row deletion and Column SPLIT

Lecture 2: Replace Column Values

Lecture 3: Column MERGE

Lecture 4: Adding SUFFIX and PREFIX

Lecture 5: Add and Transform Column- Extract function

Lecture 6: Adding Conditional and Index column

Lecture 7: Date functions in Power Query

Chapter 8: Practice Quiz

Instructors

Harshit Srivastava
Cloud Professional | Content Creator | Edupreneur

Rating Distribution

1 stars: 2 votes

2 stars: 8 votes

3 stars: 16 votes

4 stars: 27 votes

5 stars: 40 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!