Data Science: Statistics and Machine Learning Specialization

Build models, make inferences, and deliver interactive data products.
This specialization continues and develops on the material from the Data Science: Foundations using R specialization. It covers statistical inference, regression models, machine learning, and the development of data products. In the Capstone Project, you’ll apply the skills learned by building a data product using real-world data. At completion, learners will have a portfolio demonstrating their mastery of the material.
The five courses in this specialization are the very same courses that make up the second half of the Data Science Specialization. This specialization is presented for learners who have already mastered the fundamentals and want to skip right to the more advanced courses.
WHAT YOU WILL LEARN

  • Perform regression analysis, least squares and inference using regression models.
  • Build and apply prediction functions
  • Develop public data products
  • Understand the process of drawing conclusions about populations or scientific truths from data
Filter Courses within "Data Science: Statistics and Machine Learning Specialization" (Click to filter)
Statistical Inference (Coursera) Coursera
Johns Hopkins University

Statistical Inference (Coursera)

Discover the secrets to making informed decisions based on data with our Statistical Inference course. Designed for those who want to understand how to draw reliable conclusions from their findings, this course covers a wide range of techniques and theories essential for effective analysis. From statistical modeling to data-oriented strategies, you'll gain valuable skills in interpreting and utilizing your research results.

Aug 3rd 2026
4 Weeks
Regression Models (Coursera) Coursera
Johns Hopkins University

Regression Models (Coursera)

Dive into Regression Models, a crucial course for aspiring data scientists on Coursera. Explore linear assumptions, learn how to relate outcomes to predictors effectively using regression analysis, and understand the principles of least squares and statistical inference. This course is perfect for those looking to deepen their understanding of essential statistical tools.

Aug 3rd 2026
4 Weeks
Developing Data Products (Coursera) Coursera
Johns Hopkins University

Developing Data Products (Coursera)

Discover how to transform raw data into valuable insights with Coursera's 'Developing Data Products' course. Designed for those who want to create automated analytical tools or enhance data-driven models, this course equips you with essential skills in utilizing Shiny, R packages, and interactive graphics to build impactful data products.

Aug 3rd 2026
4 Weeks
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