Python Basics
Storing, Transforming and Visualizing Data
When performing data analysis, it’s important to have the right tools for the job. In this course, you will examine the different options for loading and transforming data using Python. You will explore the language’s options for creating visualizations to better understand your data.
Intermediate    11 Lessons    180 Minutes    CPD Credits
About This Course
By now, you should be confident writing relatively complex statements in Python. In this course, you will use your knowledge to analyze real data.
You’ll learn about Arrays, their utility and how to use them to perform calculations. You will explore the options for indexing and manipulating data using Pandas dataframes. You’ll also experiment with the different methods for visualizing data in Python.
By the end of this course, you will have experience, from start to finish, loading, transforming and presenting data using Python. You will be confident implementing Python scripts into your own data analysis projects.
Learning Outcomes
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Calculate with arrays of data using NumPy
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Store datasets with Pandas dataframes
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Extract specific rows & columns from dataframes
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Add & remove data from dataframes
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Create charts with MatPlotLib
Lessons
1. Course Introduction
2. Calculating with NumPy Arrays
4. Storing Data in Pandas Dataframes
5. Indexing Pandas Dataframes by Name
6. Indexing Pandas Dataframes by Position
Read More
7. Adding Data to Pandas Dataframes
8. Removing Data from Pandas Dataframes
9. Creating Charts with MatPlotLib
10. Adding Titles Charts
11. Customizing Scatterplots
Learning Certificates
Showcase Your Skills
Each time you complete a course exam, you earn a certificate that demonstrates your proficiency in that subject matter. We are proud to be able to say that Kubicle certificates are recognized by the most respected employers from around the world.
When you earn internationally-recognized certificates, you increase confidence. And when you enhance your ability, speed and accuracy, you increase your employability.
