Learn data science with Python!
The demand for data scientists is growing. Their ability to combine programming and statistics to develop meaningful insights makes them in high demand throughout nearly every industry.
Python is the world’s most popular data science language – it can write complex, data-heavy tasks simply and quickly, and is incredible versatility. It’s also easy to maintain and has a wide range of libraries that are designed to save you time and effort.
The Data Science Mini-Degree
The Data Science Mini-Degree is the world’s most comprehensive collection of courses on learning data science with Python.
Using modern tools and real-world datasets, you’ll learn how to read, store, analyze, and communicate data like a pro, and gain the skills needed to generate solutions to real-world problems so you can take on the world as an industry-ready data scientist.
Learn all about
- Python basics
- Functional arrays & matrices with NumPy
- Web scraping with BeautifulSoup
- Retrieving data from APIs
- Databases with SQL
- Manipulating & analyzing data with Pandas
- Visualizing data with Matplotlib, Seaborn, & Bokeh
- Creating evidence-based hypotheses
Your Data Science Portfolio
Create a portfolio of data science projects, including:
Curriculum
- Python basics
- Arrays & matrices
- Web scraping
- Reading data from APIs
- Sorting & querying data
- Working with tables
- Database constraints
- Reading CSV & Excel files
- Cleaning data
- Intro to statistics
- Machine learning basics
- Column & pie charts
- Interactive multi-line charts
- Scatter & joint plots
- Cluster analysis
- Probability fundamentals
- Naive Bayes classifiers
- Hypothesis testing
Why Learn Data Science & Python?
Used to build innovative solutions to build real-world problems, data science skills are in high demand throughout virtually every field.
With steady job growth, high salaries, and incredible job satisfaction, Python data scientists have access to a wide range of opportunities.
