Learn Data Visualization with Python, Plotly and Power BI

Learn Data Visualization with Python, Plotly and Power BI, available at $29.99, has an average rating of 4.25, with 22 lectures, based on 28 reviews, and has 4291 subscribers.

You will learn about Learn to create interactive charts with Plotly Learn to build dummy datasets like Fake Stock market price simulator Learn to create vertical and horizontal bar charts Learn to create vertical and horizontal grouped and stacked bar charts Learn to create scatter charts Learn to create line charts Learn to create time series charts Learn to create pie, donut and sunburst charts Learn to create multiple line charts Learn to create bubble and dot charts This course is ideal for individuals who are Anyone curious to learn Data Visualization with Python, Power BI and Plotly or Machine learning enthusiasts or Data Analyst or Data Scientist or Students and IT professionals It is particularly useful for Anyone curious to learn Data Visualization with Python, Power BI and Plotly or Machine learning enthusiasts or Data Analyst or Data Scientist or Students and IT professionals.

Enroll now: Learn Data Visualization with Python, Plotly and Power BI

Summary

Title: Learn Data Visualization with Python, Plotly and Power BI

Price: $29.99

Average Rating: 4.25

Number of Lectures: 22

Number of Published Lectures: 22

Number of Curriculum Items: 22

Number of Published Curriculum Objects: 22

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

Learn to create interactive charts with Plotly

Learn to build dummy datasets like Fake Stock market price simulator

Learn to create vertical and horizontal bar charts

Learn to create vertical and horizontal grouped and stacked bar charts

Learn to create scatter charts

Learn to create line charts

Learn to create time series charts

Learn to create pie, donut and sunburst charts

Learn to create multiple line charts

Learn to create bubble and dot charts

Who Should Attend

Anyone curious to learn Data Visualization with Python, Power BI and Plotly

Machine learning enthusiasts

Data Analyst

Data Scientist

Students and IT professionals

Target Audiences

Anyone curious to learn Data Visualization with Python, Power BI and Plotly

Machine learning enthusiasts

Data Analyst

Data Scientist

Students and IT professionals

In this course you will learn to create various types of Data Visualization charts using Microsoft Power BI, Python and Plotly. There are a wide range of professionals who require data visualization skills to plot various charts to find critical insights from the dataset. From Marketing and sales professionals to Developers, Analysts and Data Scientists, a large number of professionals require some kind of knowledge to adequately model and represent data into creative visuals that makes it easy and intuitive to understand the complex data value in form for comparable and easy to understand visual charts. Most of the basic charts such as bar, line, pie, tree map and other charts in Power BI and other visualization software are just inefficient to represent various kinds of data with complex information. Professionals just don’t rely on few basic charts, rather they could create some custom chart to solve complex problem. Most of the custom or advanced visualization charts can be created by writing few lines of python code.

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

Data visualization make this task little bit more handy and fast. With the help of visual charts and graph, we can easily find out the outliers, nulls, random values, distinct records, the format of dates, sensibility of spatial data, and string and character encoding and much more.

Moreover, you will be learning different charts to represent different kind of data like categorical, numerical, spatial, textual and much more.

Bar Charts (Horizontal and Vertical)

Line Charts

Pie Charts

Donut Charts

Scatter Charts

Grouped Bar Chart (Horizontal and Vertical)

Segmented Bar Chart (Horizontal and Vertical)

Time and series Chart

Sunburst Chart

Candlestick Chart

OHLC Charts

Bubble Charts

Dot Charts

Multiple Line Charts and so on.

Most of the time data scientists pay little attention to graphs and focuses only on the numerical calculations which at times can be misleading. Data visualization is much crucial step to follow to achieve goals either in Data Analytics or Data Science to get meaningful insights or in machine learning to build accurate model. 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.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Chapter 2: Getting started with Python in PowerBI

Lecture 1: Installing package and path

Lecture 2: Creating a Line chart with matplotlib

Chapter 3: Advanced charts using Python and Power BI

Lecture 1: Putting labels and creating dashed scatterplot

Lecture 2: Violin chart with seaborn

Lecture 3: More on seaborn

Lecture 4: Stripplot Part-1

Lecture 5: Stripplot Part-2

Chapter 4: Box plot and align plot

Lecture 1: Boxplot Part-1

Lecture 2: Boxplot Part-2

Lecture 3: Lmplot or align plot

Chapter 5: Build Interactive charts with Python Plotly

Lecture 1: Setup Environment

Lecture 2: Line Charts and Time Series Chart

Lecture 3: Scatter Plot- Part 1

Lecture 4: Scatter Plot- Part 2

Chapter 6: More charts with Plotly

Lecture 1: Bubble Chart

Lecture 2: Pie Charts

Lecture 3: Donut Charts

Lecture 4: Sunburst Charts

Lecture 5: Bar Charts (Vertical)

Lecture 6: Grouped and Stacked Charts (Vertical)

Lecture 7: Horizontal Bar Charts

Instructors

Harshit Srivastava
Cloud Professional | Content Creator | Edupreneur

Pranjal Srivastava
Docker | Kubernetes | AWS | Azure | ML | Linux | Python

Rating Distribution

1 stars: 2 votes

2 stars: 2 votes

3 stars: 2 votes

4 stars: 8 votes

5 stars: 14 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!