Data Visualisation with Python: Matplotlib and Visual Analysis
- Offered byFutureLearn
Data Visualisation with Python: Matplotlib and Visual Analysis at FutureLearn Overview
Data Visualisation with Python: Matplotlib and Visual Analysis
at FutureLearn
Duration | 4 weeks |
Total fee | ₹900 |
Mode of learning | Online |
Official Website | Go to Website  |
Credential | Certificate |
Data Visualisation with Python: Matplotlib and Visual Analysis at FutureLearn Highlights
Data Visualisation with Python: Matplotlib and Visual Analysis
at FutureLearn
- Duration 4 weeks
- Weekly study 4 hours
- 100% online Learn at your own pace
Data Visualisation with Python: Matplotlib and Visual Analysis at FutureLearn Course details
Data Visualisation with Python: Matplotlib and Visual Analysis
at FutureLearn
Skills you will learn
More about this course
- Many organisations can collect and analyse data effectively, but not all are able to transform these insights into effective decision-making that results in organizational value. That's where data visualization comes in.
- This Python online course will supercharge your data visualization skills for both exploratory and explanatory purposes, using the commonly used programming language.
- Python is used across all industries, from healthcare to finance, and in different fields of business analytics. It's also one of the simplest programming languages to learn.
- You'll learn how to use Python through the use of its robust graphic libraries to bring insights to life and tell stories that help decision-making.
- This course will introduce you to design fundamentals, allowing you to identify and critique components of effective visualized data, charts and the visualization of complex relationships.
- You'll also get to design powerful visualizations using spreadsheet tools.
- Matplotlib is a powerful Python library for creating plots and charts.
- You'll be introduced to the library and time series data, one of the most commonly used data types. You'll also master the basics of creating and customizing plots using Python code, including custom colors, markers and styles.
- Visualizations can be used to compare data in a quantitative manner. You'll explore the different methods used in the creation of quantitative visualizations.
- You'll find out how to plot bar charts, histograms and scatter plots using Python's plotting library, Matplotlib.
Data Visualisation with Python: Matplotlib and Visual Analysis at FutureLearn Curriculum
Data Visualisation with Python: Matplotlib and Visual Analysis
at FutureLearn
Introduction to visualisation and visualisation design fundamentals
Welcome to the course!
Introduction to visualisation
Visualisation design fundamentals
Wrap-up
Designing charts and visualising complex relationships
Introduction
Designing charts
Visualising complex relationships
Wrap-up
Introduction to Matplotlib and plotting time series data
Introduction
Introduction to Matplotlib
Plotting time series data using Matplotlib
Wrap-up
Quantitative comparisons, statistical visualisations, and sharing visualisations
Introduction
Quantitative comparisons and statistical visualisations
Sharing visualisations
Wrap-up
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