Python Data Analytics
Key Takeaways
Introduces Python programming for data analytics, covering the OSEMN framework and Pandas library
Original Description
This course introduces the use of the Python programming language to manipulate datasets as an alternative to spreadsheets. You will follow the OSEMN framework of data analysis to pull, clean, manipulate, and interpret data all while learning foundational programming principles and basic Python functions. You will be introduced to the Python library, Pandas, and how you can use it to obtain, scrub, explore, and visualize data.
By the end of this course you will be able to:
• Use Python to construct loops and basic data structures
• Sort, query, and structure data in Pandas, the Python library
• Create data visualizations with Python libraries
• Model and interpret data using Python
This course is designed for people who want to learn the basics of using Python to sort and structure data for data analysis.
You don't need marketing or data analysis experience, but should have basic internet navigation skills and be eager to participate.
Watch on External: Coursera ↗
(saves to browser)
Sign in to unlock AI tutor explanation · ⚡30
More on: Data Literacy
View skill →Related Reads
📰
📰
📰
📰
We Replaced Eventbrite at KAFD: Building a Real-Time Event Analytics Dashboard for 50K Attendees in Saudi Arabia
Dev.to · stampiq
“ 10 Python Tricks Data Scientists Wish They Knew Earlier”
Medium · AI
A Baby Growth Percentile Calculator Using WHO and CDC Reference Data
Dev.to · gan liu
One Decision Can Change Your Career: Why Thousands of Students Are Choosing Browsejobs to Learn…
Medium · Data Science
🎓
Tutor Explanation
DeepCamp AI