Data Visualization with Python and Plotly
Learn to build interactive charts with Plotly and Python asap
Development ,Data Science,Data Analysis
Lectures -12
Duration -53 mins
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Course Description
Data Visualization is one of the indispensable topics in data science and machine learning. It is the process of creating interactive visuals to understand trends and variations and derive meaningful insights from the data. We all know that data is the new oil. Likewise, if oil is not processed, it is of no use, and to derive relevant insights from data for making critical business decisions, it should be cleaned and processed.
Data visualization makes this task a little bit more handy and fast. With the help of visual charts and graphs, we can easily find out the outliers, nulls, random values, distinct records, the format of dates, the sensibility of spatial data, string and character encoding, and much more.
In this learning course, you will be learning different charts to represent different kinds 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
Bubble Charts
Dot Charts
Multiple Line Charts and so on.
Most of the time, data scientists pay little attention to graphs and focus only on the numerical calculations, which at times can be misleading. Data visualization is a crucial step to follow to achieve goals either in Data Analytics or Data Science to get meaningful insights or in machine learning to build an accurate model.
Goals
- Learn to create interactive charts with Plotly
- Learn to build dummy datasets like a 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
Prerequisites
- A desire to transform complicated data into beautiful charts
- A little bit knowledge on python programming language would be helpful
- Must have Jupyter and other required packages and libraries

Curriculum
Check out the detailed breakdown of what’s inside the course
Introduction
2 Lectures
-
Introduction 02:18 02:18
-
Installation 03:25 03:25
Line Charts
1 Lectures

Scatter Chart
3 Lectures

Pie Charts
3 Lectures

Bar Charts
3 Lectures

Instructor Details

Pranjal Srivastava
I am an Instructor, Devops engineer, machine learning enthusiast, cloud expert and passionate developer.
I have authored 78 courses with over 115,000 students worldwide across 175+ countries on wide array of technologies like devops, containerization, machine learning, Linux, programming languages and cloud computing platforms like Microsoft Azure, Amazon Web Service and IBM Cloud.
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