Data Science Courses and Certifications

Ball State University

Introduction to Data Science

Master data science fundamentals through ethics, collection methods, R programming, and statistical analysis while learning to handle data responsibly and derive meaningful insights for real-world applications.

• Coursera
• 11 hours 8 minutes
• Self-Paced
• Paid Course

Clemson University

Applied Data Science

Discover how to extract knowledge from complex data sets using tools from computer science, statistics, visualization, and social sciences, illustrated with real-world case studies.

• Coursera
• 20 hours 52 minutes
• Self-Paced
• Paid Course

Coursera

Python for Data Science (and Version Control with GitHub)

Master Python programming for data analysis in this comprehensive course designed for aspiring data scientists. Through hands-on projects using real-world datasets, you'll learn essential data manipulation, visualization, and statistical analysis techniq…

• Coursera
• 1 day 11 hours 2 minutes
• Self-Paced
• Paid Course

CertNexus

Finalize a Data Science Project

Learn to present data science project results to stakeholders, build a web app for model demonstration, and automate model training and deployment pipelines. Ideal for experienced professionals in the CDSP program.

• Coursera
• 12 hours 22 minutes
• Self-Paced
• Paid Course

R Data Science Capstone Project

Apply various data analysis and visualization skills and techniques you have learned by taking on the role of a data scientist working with real-world data sets.

• edX
• 4 weeks, 1-2 hours/week
• Self-Paced
• Free Online Course (Audit)

Capstone: Data Science Problem in Linear Algebra Framework

In this course, you'll review the specifics of the Capstone project. In addition, you will create and run your regression model and share your results with your peers. Let's get started!

• Coursera
• 8 hours 37 minutes
• Self-Paced
• Paid Course

Learn Ventures

Intro to Data Science & Machine Learning

A first introduction to data science and machine learning. Use Python to acquire, clean, and analyze data using powerful machine leanring models and popular data science libraries.

• edX
• 8 weeks, 1-5 hours/week
• Self-Paced
• Free Online Course

Packt

Foundations of Data Science and Machine Learning with Python

Master data science and machine learning fundamentals using Python libraries for analysis, visualization, and predictive modeling with hands-on projects.

• Coursera
• 8 hours 52 minutes
• Self-Paced
• Paid Course

UC Berkeley Credential

Foundations of Data Science

Develop computational thinking, inferential reasoning, and machine learning skills using Python to analyze diverse datasets and make data-driven decisions in various fields.

• edX
• 16 weeks, 4-6 hours a week
• Self-Paced
• $597.00
• 3 courses

Packt

NumPy, Matplotlib & Pandas – Data Science Prerequisites

Master essential Python data science libraries: NumPy for numerical computing, Matplotlib for visualization, and Pandas for data manipulation, plus introductions to SciPy and machine learning fundamentals.

• Coursera
• 7 hours 11 minutes
• Self-Paced
• Paid Course

Coursera

Advanced Data Science Techniques (with AWS Integration)

Master sophisticated ML models and AWS deployment through hands-on projects covering feature engineering, time series analysis, and cloud-based machine learning pipelines.

• Coursera
• 1 day 5 hours 29 minutes
• Self-Paced
• Paid Course

Introduction to Data Science (Public Policy)

Explore Python programming fundamentals and data analysis techniques to understand social issues through digital data, covering APIs, text analysis, and visualization methods.

• Coursera
• 21 hours 40 minutes
• Self-Paced
• Paid Course

Fundamentals of Data Science in Healthcare

Discover how to transform raw clinical data into analysis-ready datasets using healthcare standards like ICD-10, SNOMED CT, and FHIR while mastering data quality, preprocessing, and HIPAA compliance.

• Coursera
• 8 hours 15 minutes
• Self-Paced
• Paid Course

Credential

Data Science for Healthcare

Master healthcare data science through machine learning, clinical analytics, and AI with hands-on projects using real medical data and responsible AI practices.

• Coursera
• 4 weeks, 7 hours/week
• Self-Paced
• Paid Course
• 3 courses

Data Science For Business Professionals

Unlock Advanced Statistical Techniques for Data Science and Business Analysis

• edX
• 3 weeks, 1-3 hours/week
• Self-Paced
• Free Online Course (Audit)