Data Science & Analytics Courses
Want in on the fields revolutionizing modern business? Then check out these data science and analytics courses.
Data science and data analytics are two sides of the same coin. One uses data to understand the present, the other to model the future.
Being familiar with one is good. But using these data science and analytics courses to know both is the best way to ensure future success.
You’ll learn things like industry best practices and the most common tools. Plus, of course, important techniques like machine learning and regression analysis.
Countless organisations rely on this kind of analysis. Start today to begin your journey with big data!
High-Dimensional Data Analysis
A focus on several techniques that are widely used in the analysis of high-dimensional data.
Introduction to Machine Learning on AWS
Learn how to use AWS for computer vision, data extraction and analysis, language processing and more.
Data Science: Probability
Learn probability theory — essential for a data scientist — using a case study on the financial crisis of 2007–2008.
Deep Learning Nanodegree
Learn to leverage the capabilities of deep learning tools to fix complex problems and unlock next-level results for enterprises.
Causal Diagrams: Draw Your Assumptions Before Your Conclusions
Learn simple graphical rules that allow you to use intuitive pictures to improve study design and data analysis for causal inference.
Introduction to Data Analysis using Excel
Learn the basics of Excel, one of the most popular data analysis tools, to help visualize and gain insights from your data.
Unilever Digital Marketing Analyst Professional Certificate
Unlock your future in digital marketing analytics. Build job-ready skills for an in-demand career as a digital marketing analyst.
Data Science: Inference and Modeling
Learn inference and modeling: two of the most widely used statistical tools in data analysis.
Python Basics for Data Science
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!