Understanding and Visualizing Data with Python
This course is part of Statistics with Python Specialization
Instructors: Brenda Gunderson +2 more
Instructor ratings
We asked all learners to give feedback on our instructors based on the quality of their teaching style.
What you'll learn
Skills you'll gain
There are 4 modules in this course
At the end of each week, learners will apply the statistical concepts they’ve learned using Python within the course environment. During these lab-based sessions, learners will discover the different uses of Python as a tool, including the Numpy, Pandas, Statsmodels, Matplotlib, and Seaborn libraries. Tutorial videos are provided to walk learners through the creation of visualizations and data management, all within Python. This course utilizes the Jupyter Notebook environment within Coursera.
WEEK 2 - UNIVARIATE DATA
WEEK 3 - MULTIVARIATE DATA
WEEK 4 - POPULATIONS AND SAMPLES
Explore more from Data Analysis
©2025 ementorhub.com. All rights reserved