By the end of this course, you will be able to
By the end of this level, you will be able to: - Understand the importance of data visualization in storytelling.
Demonstrate the usefulness of different types of data visualization including stem and leaf charts, histograms, box charts, time series charts, and scatter plots.
Examine how to use Python to use the above data visualization types and use Google Charts and Tableau to design visually appealing data visualizations.
Course details
- 3 h 8 m/31 lessons
- Last updated: 27/11/2022
- Course completion certificate
Course Content
Introduction to Data Visualization
Storytelling (P.1)
Storytelling (P.2)
Storytelling (P.3)
Introduction to Data Visualization
Storytelling (P.1)
Storytelling (P.2)
Storytelling (P.3)
Data Visualization Effect
The Power of Data Visualization
Stem-and-Leaf-Diagrams
Examples of Stem-and-Leaf-Diagrams
Histogram 1
Histogram 2
Box Plots 1
Box Plots 2
Box Plots 3
Box Plots 4
Significance of Outliers in the Box Plots
Time Series Charts 1
Time Series Charts 2
Scatter Diagram
Important Notes for Data Visualization
Tools for Use in Data Visualization 1
Tools for Use in Data Visualization 2
Matplotlib Tool 1
Matplotlib Tool 2
Matplotlib Tool 3
Python Seaborn Tool 1
Python Seaborn Tool 2
Python Seaborn Tool 3
Introduction to Tableau 1
Introduction to Tableau 2
Introduction to Tableau 3
The Required Project
About this course
This level demonstrates the importance of data visualization as an essential tool for data scientists. It describes different types of data visualization and how they are used in storytelling. It also provides hands-on training in the use of data visualization tools including the Python libraries, Google Charts and Tableau.
Course requirements and prerequisites
Graduate of any university (Engineering is not mandatory)
Knowledge of Linear algebra is a big plus
Previous programming experience of any language is a big plus
Mentor
Sherif Gamal
Engineer and Senior Member of IEEE
3,135 Learners
5 Courses
