Plots (Graphics) for Data Science

4.2
stars
60 ratings
Offered By
Coursera Project Network
2,420 already enrolled
In this Guided Project, you will:

Learn data visualization techniques in Python.

Create and visualize scatter plots, line plots, bar charts, subplots, box plots, histograms, heatmaps, and animations.

Clock2 hours
BeginnerBeginner
CloudNo download needed
VideoSplit-screen video
Comment DotsEnglish
LaptopDesktop only

In this two-hour long project-based course, you will learn Data Visualization techniques in Data Science. By the end of this project, you will have created and visualized scatter plots, line plots, bar charts, subplots, box plots, histograms, heat maps, and animations. This class is for learners who want to use Python for Data Visualization and Plots, and for learners who are currently taking a basic machine learning course or have already finished a machine learning course and are searching for a practical data visualization project course. Also, this project provides learners with basic knowledge about data visualization techniques and improves their skills in creating various types of charts and plots which helps them in fulfilling their career goals by adding this project to their portfolios.

Skills you will develop

Data ScienceData Visualization (DataViz)Plot (Graphics)

Learn step-by-step

In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

  1. Understanding the importance of Data Visualization techniques

  2. Creating Scatter Plots and Line Plots

  3. Creating Bar Charts and Subplots

  4. Creating Box Plots and Histograms

  5. Creating Heat Maps and Animations

How Guided Projects work

Your workspace is a cloud desktop right in your browser, no download required

In a split-screen video, your instructor guides you step-by-step

Reviews

TOP REVIEWS FROM PLOTS (GRAPHICS) FOR DATA SCIENCE

View all reviews

Frequently asked questions

Frequently Asked Questions

More questions? Visit the Learner Help Center.