Python for Data Science MasterClass
What you will learn?
Understand the importance of Data Science (DS)
Explore the difference DS Specializations and career tracks
Master the usage of Python variables, loops and conditional statements to create your first programs
Learn how to read, write, format and analyse documents using Python
Learn how to use Anaconda, Matplotlib and Pandas
Understand Software Tester's role in an agile project
Learn how clean data your data from typos wrong formats and false numbers
Learn how to use P-values in Data Science
Understand how to use F-measure for comparing performance of models
Apply A/B testing method on various use cases
Learn Principal Component Analysis
Master how to code in Jupyter Notebook
Master data visualization & prediction Models
Understand how to make clear, precise and tangible results to present
About this program
Learn how to utilize Python capabilities to clean, analyze, visualize and present data as a Master.
Requirements
No prior Data Science experience is required.
You’ll need to install Python IDE. We will show you how to do that step by step.
Basic linear algebra knowledge is a big plus.
Previous programming experience of any language.
