Coursera Certificate 0

Python for Data Science (and Version Control with GitHub)

Name: Python for Data Science (and Version Control with GitHub)
Price: 49 USD
Availability: InStock

About this course

Master Python programming for data analysis in this comprehensive course designed for aspiring data scientists. Through hands-on projects using real-world datasets, you'll learn essential data manipulation, visualization, and statistical analysis techniques while integrating modern AI tools and version control practices. This course is perfect for analysts and professionals who want to advance beyond spreadsheets to powerful programming solutions. Starting with Python fundamentals and progressing through advanced analysis techniques, you'll develop practical skills that directly apply to real-world data challenges. Upon completion, you'll be able to: • Import, clean, and manipulate data using Python's powerful libraries (Pandas, NumPy) • Create compelling visualizations with Matplotlib, Seaborn, and Plotly • Perform statistical analysis and A/B testing for data-driven decisions • Automate data workflows and generate professional reports • Implement version control best practices using GitHub

56/100

CourseAsk score

What the provider tells you: 32/45
Who stands behind it: 8/35
How complete the listing is: 16/20

Scores how much the provider publishes and who stands behind it — not how well it is taught.

What you'll learn

Import, clean, and manipulate data using Python's libraries like Pandas and NumPy
Create visualizations with Matplotlib, Seaborn, and Plotly
Perform statistical analysis and A/B testing
Automate data workflows and generate reports
Implement version control practices using GitHub

Data Analysis #python #pandas #git #github #statistical analysis #numpy #seaborn #matplotlib #automation #data analysis #a/b testing #data science #plotly #visualization

$49.00

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