Data Science

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Business Statistics and Analysis Capstone (Coursera) Coursera
Rice University

Business Statistics and Analysis Capstone (Coursera)

Dive into practical data analysis with the Business Statistics and Analysis Capstone on Coursera. This capstone experience combines all the analytical skills you've developed throughout a specialization to solve real-world problems using publicly available housing data. Learn how to conduct relevant statistical analyses, interpret results, and present findings in an accessible manner.

Sep 14th 2026
4 Weeks
Data Science: Visualization (edX) EdX
HarvardX,Harvard University

Data Science: Visualization (edX)

Discover the fundamentals of data visualization and explore how to effectively analyze and present data through this beginner-friendly course on edX. With a focus on practical application, you'll learn to use ggplot2 in R to create compelling visual representations of data. Perfect for those new to data science or looking to refine their exploratory analysis skills.

Self Paced
Self-Paced
Data Science: Wrangling (edX) EdX
HarvardX,Harvard University

Data Science: Wrangling (edX)

Discover the art and science of transforming raw data into a format ready for insightful analysis with 'Data Science: Wrangling'. This course, offered by edX, equips you with practical skills in importing, tidying, string processing, HTML parsing, handling dates and times, and text mining using R. Whether you're new to data science or looking to refine your existing skills, this course is designed to guide you through the critical steps of data wrangling that every analyst will encounter.

Self Paced
Self-Paced
Applied Deep Learning Capstone Project (edX) EdX
IBM

Applied Deep Learning Capstone Project (edX)

Dive into the world of applied deep learning with this comprehensive capstone course. Gain hands-on experience as you tackle a real-world problem using advanced techniques in neural networks. This course will guide you through loading and preprocessing data, building your own Deep Learning models, and validating their effectiveness.

Self Paced
Self-Paced