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'll learn
Conduct statistical inference to draw conclusions from data
Build and evaluate regression models for prediction and analysis
Apply machine learning algorithms to real-world datasets
Develop interactive data products that present analytical findings
Complete a capstone project using real-world data for a portfolio demonstration
Course objectives
Master statistical inference techniques for data-driven decision making
Develop proficiency in building and interpreting regression models
Gain practical experience applying machine learning methods
Learn to create data products that deliver insights to stakeholders
Build a portfolio project demonstrating end-to-end data science skills