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Data Visualization for Beginners
Kelvin Kobina Fosu

20% off Democratizing Data Visualization Black Friday special

Summary

Price
£19 inc VAT
Study method
Online, On Demand
Duration
1.5 hours · Self-paced
Qualification
No formal qualification
Certificates
  • Reed courses certificate of completion - Free

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Overview

Welcome to this Data Visualization course for all. This course will teach you hands-on practice on generating visualizations in python and also intuitively use. matplotlib is the python library used in this lesson. This is a very useful library for creating interesting visualizations. The code syntax is straight forward and there is clear documentation on each and every method so that when you get stuck, you can quickly get support for your problem.

Certificates

Reed courses certificate of completion

Digital certificate - Included

Will be downloadable when all lectures have been completed

Curriculum

3
sections
11
lectures
1h 28m
total

Course media

Description

Welcome to this Data Visualization course for all. This course will teach you hands-on practice on generating visualizations in python and also intuitively use. matplotlib is the python library used in this lesson. This is a very useful library for creating interesting visualizations. The code syntax is straight forward and there is clear documentation on each and every method so that when you get stuck, you can quickly get support for your problem.
Matplotlib has interesting features that can help programmers generate nice visualizations.
Some examples are Bar charts, Line charts, Pie charts, scatter charts, 3D charts, and interesting interactive data visualizations.,
This basic course in data visualization can help you build your foundation in data visualization while you advance yourself through consistent practices and the use of various datasets.
matplotlib library is a very useful tool for marketers, business analysts, and data analysts to help people generate reports on their data
After taking this course, you should be able to create your own simple visuals that can help you gain insights from various data sources.

Who is this course for?

  • Anybody
  • Marketers
  • Teachers
  • Data Enthusiasts

Requirements

  • Python 3
  • Anaconda(Jupyter Notebook)
  • Google Account

Career path

Data Analyst

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