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Your Learner Verification

This is to verify that Ahmad Alomari has completed the course Introductory Stata 2023: Graphics and Data Visualization on Alison.

Ahmad Alomari

Alison ID: 31766397

Course Completed: Introductory Stata 2023: Graphics and Data Visualization

Date of Completion: 6th June 2023

Email: [email protected]

Total Study Time: 4h 9m

Final Assessment Score:

Alison courses requires at least
70% to pass the final assessment

80%
CPD Hours Completed:

CPD approved learning hours
completed through this course

3-5h

Course Information

Learn how to use Stata to draw graphs to analyze, visualize and present data in this free online data science course.

Stata provides different graphic commands for different types of data. This Stata tutorial explains how to use the program’s graph commands for data visualization and covers histograms, box plots, density plots, bar charts, pie charts, scatter plots, line plots, bubble plots and best-fit lines. We show you how to use Stata to draw graphs for a single continuous variable, a single categorical variable, two continuous variables, two categorical variables and one continuous variable and one categorical variable.

We explore the Stata graph options used to customize markers, lines, axes, labels, titles and legends. The course demonstrates how to modify various graphs’ symbols, colors, patterns and text to make them more attractive and informative, which can improve the quality of presentations and publications. We then teach you how to overlay multiple plots in a graph and combine multiple graphs into a single version.

Finally, the course explains how to save and export graphs to different formats. Graphs and data visualization effectively display variables and their relationships. Graphs are widely used in business, statistical analysis and empirical research in every academic field. Learning how to use Staka enhances your professional portfolio as data science plays a key role in many industries. Sign up for this Staka tutorial to improve your ability to analyze, visualize and present data.

Modules Completed

Module 1: Distribution of a Single Variable
Module 2: Relationship between Two Variables
Module 3: Graph Options
Module 4: Course assessment

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