Data Visualization using MatPlotLib & Seaborn
Learn why, what, how about data visualization in simple and easy way
Updated on Apr, 2024
Language - English
Lectures -12
Duration -4 hours
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Course Description
If you want to work in exciting analytics and data visualization project, then this is the starting point for you.
Data is the currency of now and potential to use it the right way, at the right time for the right reason gives you possibility beyond imagination.
Data visualization is a vast topic and consist of many sub-parts which are a subject in itself, we in our course have tried to paint a clear picture of what you need to know and what people will be looking of you in a visualization project.
UX in Data visualization is key in modern times to meet the expectation of your user, this course will highlight what are the benefits of using a good UX and how to do it.
This course is structured to provide all the key aspect of Data visualization in most simple and clear fashion.So you can start the journey in Data visualization world.
Who this course is for:
- Beginner Python developers curious about Data Science
Goals
What will you learn in this course:
- Matplotlib Introduction
- PyPlot, Bar, Pie, Histogram, Scatter & 3D Plot
- Multiple Plots in a Graph
- Seaborn Plotting Functions
- Plotting with Categorical Data
- Multi-Plot Grids
- Plot Aesthetics
- What is Data Science
- What is Machine Learning
- Data Visualization using Pandas
Prerequisites
What are the prerequisites for this course?
- Just some high school mathematics level.
Curriculum
Check out the detailed breakdown of what’s inside the course
Data Visualization using MatPlotLib & Seaborn
11 Lectures
-
Introduction
01:22
01:22
-
Matplotlib Introduction
31:23
31:23
-
PyPlot, Bar, Pie, Histogram, Scatter & 3D Plot
32:58
32:58
-
Multiple Plots in a Graph
14:38
14:38
-
Seaborn Plotting Functions
30:49
30:49
-
Plotting with Categorical Data
15:40
15:40
-
Multi-Plot Grids
33:55
33:55
-
Plot Aesthetics
17:39
17:39
-
What is Data Science
30:42
30:42
-
What is Machine Learning
25:06
25:06
-
Data Visualization using Pandas
19:33
19:33
Instructor Details
DATAhill Solutions Srinivas Reddy
Data ScientistMr. Srinivas Reddy is Founder & MD of DATAhill Solutions
He is Research Scholar (Ph.D) on Artificial Intelligence & Machine Learning
He Received Masters of Technology in Computer Science & Engineering from JNTU, MICROSOFT Certified Professional, IBM Certified Professional & Certified from IIT Kanpur & IIT Ropar.
Having 10+ Years of Experience in Software & Training.
His Experience includes Managing, Data Processing, Data Cleaning, Predicting and Analyzing of Large volume of Business Data.
Expertise in Data Science, Data Analytics, Machine Learning, Deep Learning, Artificial Intelligence, Python, R, Weka, Data Management & BI Technologies.
Having Patents and Publications in Various Fields such as Artificial Intelligence, Machine Learning and Data Science Technologies.
Professionally, He is Data Science Management Consultant with over 7+ years of Experience in Finance, Retail, Transport and other Industries.
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