Data Science Courses and Certifications

Career Certificate

CompTIA DataX Study Guide

Master data science from foundational statistics to advanced ML, neural networks, and NLP, with applied exercises preparing you for real-world data challenges and CompTIA DataX certification.

• Coursera
• Self-Paced
• Paid Course
• 3 courses

CertNexus

DSBIZ (Exam DSZ-210)

Master data science fundamentals and business applications to transform raw data into strategic insights that drive business growth and competitive advantage.

• Coursera
• 4 hours 45 minutes
• Self-Paced
• Paid Course

Entmystifizierung von KI, Data Science und Big Data: Grundlagen, Arbeitsschritte und Anwendungen in der Datenanalyse, vom Rohdaten-Management bis zur visuellen Ergebnisdarstellung.

• openHPI
• 7 weeks
• Self-Paced
• Free Certificate

Understanding the World Through Data

Discover how to leverage data and basic machine learning algorithms using Python to explore relationships, distributions, and classification models for real-world insights.

• MITx Online
• 9 weeks, 3-6 hours a week
• Self-Paced
• Free Online Course

Marketing Analytics

12 ratings

Measure, manage, and analyze marketing performance to maximize effectiveness and ROI. Learn to evaluate brand assets, customer lifetime value, and design experiments for data-driven decision-making.

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

How to Build a Startup

24 ratings

Learn what it takes to build a successful startup using the Customer Development process, where entrepreneurs "get out of the building" to gather and iterate on feedback.

• Udacity
• 4 weeks
• Self-Paced
• Free Online Course

Calculus for Machine Learning and Data Science

966 ratings at Coursera

Explore calculus fundamentals for machine learning, including derivatives, optimization, gradients, and Newton's method. Apply concepts using Python in hands-on exercises for practical ML skills.

• Coursera
• 1 day 2 hours 59 minutes
• Self-Paced
• Paid Course

Want to be a Big Data Scientist?

973 ratings at Udemy

Should you pursue a career in Data Science? Data Science basics, process, team, roles, skills, transition, opportunities

• Udemy
• 1 hour 25 minutes
• Self-Paced
• Paid Course

Introduction to Genomic Technologies

12 ratings

Explore genomics fundamentals, sequencing technologies, and data analysis techniques. Gain essential knowledge in molecular biology, computing, and data science for genomic research.

• Coursera
• 6-7 hours
• Self-Paced
• Paid Course

Organizational Analysis

10 ratings

Explore organizational theories and apply them to real-world cases. Analyze structure, behavior, and change in various organizations to develop effective management strategies.

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

Practical Machine Learning

27 ratings

Learn essential machine learning concepts and techniques, from data collection to model evaluation, with hands-on practice using popular algorithms and the caret package in R.

• Coursera
• 8-9 hours
• Self-Paced
• Paid Course

Statistics for Data Science Essentials

Enhance probability skills and learn data interpretation using central limit theorem and confidence intervals. Complete weekly math assignments to reinforce statistical concepts.

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

Fundamental Data Analysis and Visualization Tools in Python

887 ratings at Udemy

Learn how to analyze and visualize data by using Python libraries such as Plotly, Seaborn, Matplotlib, Pandas, and NumPy

• Udemy
• 1 hour 5 minutes
• Self-Paced
• Paid Course

Mathematics for Machine Learning: Linear Algebra

9 ratings

Explore linear algebra fundamentals and their applications in machine learning, covering vectors, matrices, eigenvalues, and practical implementations in Python for data-driven tasks.

• Coursera
• 18 hours 50 minutes
• Self-Paced
• Paid Course

Machine Learning Regression Masterclass in Python

858 ratings at Udemy

Build 8+ Practical Projects and Master Machine Learning Regression Techniques Using Python, Scikit Learn and Keras

• Udemy
• 10 hours 21 minutes
• Self-Paced
• Paid Course