The demand for data scientists is growing. With their ability to combine programming and statistics to develop meaningful insights, they’re in high demand throughout nearly every industry.
With the Data Science Mini-Degree, you’ll learn Python, the world’s most popular data science language. 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 and take on the world as an industry-ready data scientist.
You will master:
- Python basics
- Functional arrays and matrices with NumPy
- Web scraping with BeautifulSoup
- Retrieving data from APIs
- Databases with SQL
- Manipulating and analyzing data with Pandas
- Visualizing data with Matplotlib, Seaborn, and Bokeh
- Creating evidence-based hypotheses
Curriculum

Level 1: Data Fundamentals
- Python language basics
- Arrays & matrices with NumPy
- Web scraping with BeautifulSoup
- Reading data from APIs

Level 2: Managing Data with SQL
- Sorting & querying data
- Creating, altering, & deleting tables
- Adding database constraints

Level 3: Managing & Analyzing Data
- Reading information from CSV & Excel files
- Cleaning data
- Statistics fundamentals
- Basic machine learning techniques

Level 4: Visualizing Data
- Learn Matplotlib, Seaborn, & Bokeh
- Column & pie charts
- Interactive multi-line charts
- Scatter & joint plots

Level 5: From Data to Insights
- Cluster analysis
- Probability fundamentals
- Naive Bayes classifiers
- Testing evidence-based hypotheses
- Python language basics
- Arrays & matrices with NumPy
- Web scraping with BeautifulSoup
- Reading data from APIs
- Sorting & querying data
- Creating, altering, & deleting tables
- Adding database constraints
- Reading information from CSV & Excel files
- Cleaning data
- Statistics fundamentals
- Basic machine learning techniques
- Learn Matplotlib, Seaborn, & Bokeh
- Column & pie charts
- Interactive multi-line charts
- Scatter & joint plots
- Cluster analysis
- Probability fundamentals
- Naive Bayes classifiers
- Testing evidence-based hypotheses
100% Beginner-Friendly
This curriculum gives you all the tools needed to learn data science – featuring introductory modules for those who have never coded before, to intermediate courses perfect for more experienced developers looking to branch out into new specializations, this Mini-Degree is designed to help you succeed.
Why Learn Data Science & Python?
Data science is used to build innovative solutions to solve real-world problems. As such, data scientists are a major asset in virtually any field. Data science continues to see steady job growth, high salaries, and incredible job satisfaction.
Python in particular is one of the most requested skills for data science, ensuring that developers possessing these skills are well placed to take advantage of the many opportunities in this field.