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Data Visualization Using MatPlotLib & Seaborn

Data Visualization Using MatPlotLib & Seaborn

If you want to work in exciting analytics and data visualization project, then this is the starting point for you.

Overview

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.

Course Information

Just some high school mathematics level

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

Beginner Python developers curious about Data Science

• Lifetime Access to Each Course
• Certificate on Completion of Course
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• High Priority Support After Sales.
• Big Discounts on Individual Courses

Course Specifications

Find various Data Analyst courses including a diploma in data analytics

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Adult education is the non-credential activity of gaining skills and improved education. 

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Online education is electronically supported learning that relies on the Internet for teacher/student interaction. 

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A short course is a learning programme that gives you combined content or specific skills training in a short period of time. Short courses often lean towards the more practical side of things and have less theory than a university course – this gives you a more hands-on experience within your field of interest.

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Course duration is 24 hours.

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