Data Science Courses and Certifications

Bioinformatics Capstone: Big Data in Biology

29 ratings at Coursera

Explore BaseSpace platform for bioinformatics applications: genome assembly, RNA-Seq analysis, and sequencing comparisons. Optional: Build your own genome assembler for real-world data.

• Coursera
• 12 hours 55 minutes
• Self-Paced
• Paid Course

Data Storytelling

Explore complex data visualization techniques, multivariate analysis, and ethical storytelling to effectively communicate insights using Tableau for S&P 500 stock sector analysis.

• Coursera
• 8 hours 49 minutes
• Self-Paced
• Paid Course

Dashboarding and Deployment

Explore analytical dashboarding, from design principles to deployment. Learn to create effective visualizations, develop a unified analytical environment, and build a financial markets dashboard as a capstone project.

• Coursera
• 9 hours 14 minutes
• Self-Paced
• Paid Course

Identifying the Right Role for Yourself

Explore data science and AI careers, learn role distinctions, assess personal fit, and identify necessary skills for various positions in these rapidly growing fields.

• Coursera
• 9 hours
• Self-Paced
• Paid Course

Finding and Preparing for the Right Job

Discover strategies for decoding job descriptions, enhancing skills, crafting standout portfolios, and effective self-marketing in the data science and AI job market.

• Coursera
• 10 hours 1 minute
• Self-Paced
• Paid Course

Coursera Microcredential

Data Visualization Primer: Tools & Techniques

674 ratings at Coursera

Master data visualization from Excel basics to advanced Python plotting, Power BI, Tableau, and AI-enhanced storytelling for impactful business insights.

• Coursera
• 4 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 9 courses

Pandas with Python for Data Science

165 ratings at Udemy

Learn how to get you up and running with data analysis and visualization using Pandas

• Udemy
• 5 hours 55 minutes
• Self-Paced
• Paid Course

Introduction to Python For Data Science

165 ratings at Udemy

A Quick and Easy Introduction into Python Programming for Data Science. Step by Step Guide

• Udemy
• 1 hour 9 minutes
• Self-Paced
• Paid Course

Fundamentals of Economics

6 ratings at edX

Learn the basic concepts of economics through Data Science applications and Python programming. This is the first of a three course series.

• edX
• 4 weeks, 5-10 hours a week
• Self-Paced
• Free Online Course (Audit)

Real-World Applications of Economics

Learn the basic concepts of economics through Data Science applications and Python programming. This course covers applications in inequality and development, econometrics, game theory and oligopoly, environmental economics, and finance.

• edX
• 5 weeks, 5-10 hours a week
• Self-Paced
• Free Online Course (Audit)

Advanced Concepts in Economics

Learn the basic concepts of economics through Data Science applications and Python programming. This course covers applications in production theory, utility maximization, randomized controlled trials, and income inequality. Second course of a three cour…

• edX
• 4 weeks, 5-10 hours a week
• Self-Paced
• Free Online Course (Audit)

Microcredential

DATA 88EX: Economic Models with Python

Master economic models using Python, bridging economics and data science through hands-on exercises in microeconomics, econometrics, development, environmental, and public economics.

• edX
• Self-Paced
• $297.00
• 3 courses

R Programming Ninja Course 2026:Data Science with 5 Projects

158 ratings at Udemy

Complete Beginner to Expert Guide with detailed theory, challenges,Case Studies and Projects .Many courses in one!!

• Udemy
• 22 hours 15 minutes
• Self-Paced
• Paid Course

Molecular Evolution (Bioinformatics IV)

79 ratings at Coursera

Explore evolutionary tree construction and proteomics to solve biological mysteries, from tracing virus origins to proving bird-dinosaur connections. Apply bioinformatics tools to reconstruct ebola evolutionary trees.

• Coursera
• 18 hours
• Self-Paced
• Paid Course

Quantitative Research

344 ratings at Coursera

Gain insights for data-driven marketing decisions through survey design, implementation, and analysis. Learn to identify opportunities, maximize response rates, and interpret results using statistical models.

• Coursera
• 17 hours 30 minutes
• Self-Paced
• Paid Course