Applied Data Science
Intermediate level
Some related experience required
1 hour to complete
Flexible schedule
Learn at your own pace
Skills you'll gain
- Unsupervised Learning
- Data Preprocessing
- Regression Analysis
- Machine Learning
- Model Evaluation
- Dimensionality Reduction
- Anomaly Detection
- Data Science
- Statistical Analysis
- Data Analysis
- Exploratory Data Analysis
- Data Cleansing
- Pandas (Python Package)
- Statistical Methods
- Data Visualization Software
- Matplotlib
- Skills section collapsed. Showing 10 of 16 skills.
Details to know
Taught in English
See how employees at top companies are mastering in-demand skills
Why people choose Coursera for their career
Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."
Explore more from Computer Science
Coursera
Ball State University
