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Learn Jupyter Notebooks, earn certificates with paid and free online courses from University of Pennsylvania, University of Michigan, UC San Diego, Duke and other top universities around the world. Read reviews to decide if a class is right for you.
Learn to use powerful, open-source, Python tools, including Pandas, Git and Matplotlib, to manipulate, analyze, and visualize complex datasets.
Learn Python programming, data manipulation, and basic inferential statistical analysis in a 4-week course by the University of Michigan. Ideal for beginners in data science.
Learn Julia, a high-performance language for scientific computing, in a 4-week course by the University of Cape Town. Gain skills in programming, data scraping, and using Julia packages.
Using Python, learn statistical and probabilistic approaches to understand and gain insights from data.
Explore inferential statistics and data analysis with Python in this 4-week course by the University of Michigan. Learn to construct confidence intervals and interpret results.
Imperial College London offers a 5-week course on Linear Algebra, focusing on its application in machine learning. Learn to work with vectors, matrices, and implement concepts in Python.
Learn the basics of linear algebra and Python for data science in a 4-week course by Howard University. Apply concepts to real-world problems.
This Python course provides a beginner-friendly introduction to Python for Data Science. Practice through lab exercises, and you'll be ready to create your first Python scripts on your own!
Learn how to use and apply the powerful language of SQL to better communicate and extract data from databases - a must for anyone working in the data science field.
Master the art of data science with IBM's 6-week online course. Learn to uncover insights and trends in data, earning a verifiable digital credential upon completion.
Master data science tools with IBM's 7-week course. Learn to use Libraries, Packages, Data Sets, Machine Learning Models, Kernels, and more. Gain hands-on experience with Jupyter Notebooks, RStudio IDE, Git, GitHub, and Watson Studio.
Master data analysis using Python with this 300-hour course. Learn to read data from CSVs and SQL, and use libraries like Numpy, Pandas, Matplotlib, and Seaborn for data processing and visualization.
Dive into Python programming with this robust 4-week course from the University of Pennsylvania, covering core concepts and offering hands-on coding exercises.
"University of Pennsylvania's 3-week course introduces data science techniques using Python, covering data frames, data analysis libraries, and basic data visualization."
Learn to analyze and visualize real-world data sets using Seaborn in this project-based course by Coursera. Gain hands-on experience with Python, Jupyter, and scikit-learn on a pre-configured cloud desktop.
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