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: 鈥� Use Python to construct loops and basic data structures 鈥� Sort, query, and structure data in Pandas, the Python library 鈥� Create data visualizations with Python libraries 鈥� 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.
Why Exploration?
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Skills You'll Learn
Data Analysis, Data Manipulation, Data Processing, Programming Principles, Data Cleansing, Scripting, Jupyter, Exploratory Data Analysis, Data Modeling, Pandas (Python Package), Matplotlib, Data Visualization, Python Programming, Data Visualization Software
Reviews
4.3 (199 ratings)
- 5 stars62.31%
- 4 stars20.60%
- 3 stars8.54%
- 2 stars4.02%
- 1 star4.52%
PP
May 4, 2025
every detailed explanation and teaching, the built-in lab is very useful to practice
HS
Nov 22, 2024
very interesting and easy for first time learner , with real world examples
From the lesson
Exploring Data with Python
This week you will further explore and analyze datasets with Python. You will learn how to calculate basic statistics and create data visualizations with Pandas and Matplotlib, another Python library.
Taught By
Victor Geislinger
Data Scientist