DATA VISUALIZATION WITH PYTHON BY IBM – FREE IBM COURSES

 

Data Visualization with Python by IBM - Free IBM Courses

Data visualization is the graphical representation of data in order to interactively and efficiently convey insights to clients, customers, and stakeholders in general. It is a way to summarize your findings and display it in a form that facilitates interpretation and can help in identifying patterns or trends. In this Data Visualization with Python course, you'll learn how to create interesting graphics and charts and customize them to make them more effective and more pleasing to your audience.

 

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ABOUT THIS DATA VISUALIZATION COURSE

"A picture is worth a thousand words". We are all familiar with this expression. It especially applies when trying to explain the insight obtained from the analysis of increasingly large datasets. Data visualization plays an essential role in the representation of both small and large-scale data.

One of the key skills of a data scientist is the ability to tell a compelling story, visualizing data and findings in an approachable and stimulating way. Learning how to leverage a software tool to visualize data will also enable you to extract information, better understand the data, and make more effective decisions.

The main goal of this Data Visualization with Python course is to teach you how to take data that at first glance has little meaning and present that data in a form that makes sense to people. Various techniques have been developed for presenting data visually but in this course, we will be using several data visualization libraries in Python, namely Matplotlib, Seaborn, and Folium. You can start creating your own data science projects and collaborating with other data scientists using IBM Watson Studio. When you sign up, you get free access to Watson Studio. Start now and take advantage of this platform.

 

COURSE SYLLABUS

Module 1 - Introduction to Visualization Tools

• Introduction to Data Visualization
• Introduction to Matplotlib
• Basic Plotting with Matplotlib
• Dataset on Immigration to Canada
• Line Plots

Module 2 - Basic Visualization Tools

• Area Plots
• Histograms
• Bar Charts

Module 3 - Specialized Visualization Tools

• Pie Charts
• Box Plots
• Scatter Plots
• Bubble Plots

Module 4 - Advanced Visualization Tools

• Waffle Charts
• Word Clouds
• Seaborn and Regression Plots

Module 5 - Creating Maps and Visualizing Geospatial Data

• Introduction to Folium
• Maps with Markers
• Choropleth Maps

 

REQUIREMENTS

• Python 101
• Data Analysis with Python

 

COURSE CODE:

DV0101EN

AUDIENCE:

Anyone interested in data science and has completed Python 101 and Data Analysis with Python

COURSE LEVEL:

Intermediate

TIME TO COMPLETE:

10 hours

BADGE:

Data Visualization using Python

 

GENERAL INFORMATION

• Free of Cost.
• Self-paced course.
• Life time validity.
• Can be audited as many times as you wish.

 

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