Data Visualization with Python and Power BI

Data Visualization with Python and Power BI, available at $44.99, has an average rating of 3.95, with 21 lectures, based on 95 reviews, and has 10896 subscribers.

You will learn about You will learn to create various visualization charts in Power BI You will also learn to create advanced charts by writing python code using seaborn and matplotlib You will learn to create Line chart, Scatterplot, and Violin chart You will also learn to create Strip plot, box plot and Lmplot chart This course is ideal for individuals who are Anyone who is curious to learn Data Science and Data Visualization or Students, Developers and professionals interested in learning Power BI and python or Interested to create custom charts using matplotlib and seaborn in python It is particularly useful for Anyone who is curious to learn Data Science and Data Visualization or Students, Developers and professionals interested in learning Power BI and python or Interested to create custom charts using matplotlib and seaborn in python.

Enroll now: Data Visualization with Python and Power BI

Summary

Title: Data Visualization with Python and Power BI

Price: $44.99

Average Rating: 3.95

Number of Lectures: 21

Number of Published Lectures: 21

Number of Curriculum Items: 22

Number of Published Curriculum Objects: 22

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

You will learn to create various visualization charts in Power BI

You will also learn to create advanced charts by writing python code using seaborn and matplotlib

You will learn to create Line chart, Scatterplot, and Violin chart

You will also learn to create Strip plot, box plot and Lmplot chart

Who Should Attend

Anyone who is curious to learn Data Science and Data Visualization

Students, Developers and professionals interested in learning Power BI and python

Interested to create custom charts using matplotlib and seaborn in python

Target Audiences

Anyone who is curious to learn Data Science and Data Visualization

Students, Developers and professionals interested in learning Power BI and python

Interested to create custom charts using matplotlib and seaborn in python

Python is one of the most popular and advanced programming language used in various domains such as machine learning and data science. Python helps you reduce the lines of code into as short as possible while keeping it in a readable format so that anyone can easily understand the implication of python code. In this course you will learn about some of the libraries in python and some methods used to create data visualization charts and data science projects. Here, you will learn about creating data visualization charts using python and Power BI business intelligence software. Power BI is an advanced software used for wide range of application areas such as Data Science, Machine Learning, Enterprise Resource Planning, Data Analysis and much more. And it makes the process of data cleaning, modelling and visualization very interactive and easy.

Although we could create various kinds of charts in Power Bi even without writing a single line of code. But there are various complex problems in data science that can be solved with the help of python libraries such as matplotlib and seaborn. Here in this course you will learn to create some of the advanced charts in power bi by writing python programs to create data visualizations for driving insights and finding outliers that may not be done by using default charts, one such example could be Violin chart. By creating a Violin chart you could easily spot the distribution range or concentration of values based on a certain category. This chart would make it intuitive to spot any segregation of values, and uniformity of distribution. It would be very difficult to represent such insights using any other default charts. Moreover, you would be learning many of such advanced custom charts in power bi that can be created by writing python codes.

The skills you learn in this course can be used in various domains related to data science and data analytics to business intelligence and machine learning.

In this course, you will be learning following concepts and visualization charts using python libraries such as pandas, matplotlib and seaborn-

Installing python packages and defining path

Creating a Line chart with matplotlib

Putting labels and creating dashed scatterplot

Violin chart with seaborn

More on Violin chart

Stripplot

Boxplot

Lmplot or align plot

Moreover, you will also learn to create other visualization charts in power bi and other concepts such as creating slicer filters and map chart-

Ribbon Chart

Table and Matrix

Drill Down Table and Matrix

Donut Ring chart

Simple Map and modes

Slicer- Basics

Slicers- Date Slicer

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Resource files

Chapter 2: 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

Chapter 3: Advanced Python charts

Lecture 1: Stripplot Part-1

Lecture 2: Stripplot Part-2

Lecture 3: Boxplot Part-1

Lecture 4: Boxplot Part-2

Lecture 5: Lmplot or align plot

Chapter 4: Other charts

Lecture 1: Ribbon Chart

Lecture 2: Table and Matrix

Lecture 3: Drill Down Table and Matrix

Lecture 4: Donut Ring chart

Lecture 5: Simple Map and modes

Chapter 5: Working with web data and creating Report

Lecture 1: Working with web data and creating Report

Chapter 6: Filters

Lecture 1: Slicer- Basics

Lecture 2: Slicers- Date Slicer

Chapter 7: Power Query

Lecture 1: Removing Null values

Chapter 8: Assignment

Instructors

Harshit Srivastava
Cloud Professional | Content Creator | Edupreneur

Rating Distribution

1 stars: 2 votes

2 stars: 5 votes

3 stars: 20 votes

4 stars: 34 votes

5 stars: 34 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!