Data Science Courses and Certifications

Data Science Fundamentals Part 1: Unit 1

Discover data science fundamentals through Python, building real projects like an Airbnb recommender while mastering pandas, NumPy, and scikit-learn with authentic datasets.

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

Guided Project: Get Started with Data Science in Agriculture

Ideal for beginners with some knowledge of Python and statistics, in this one-hour hands-on guided project, you will learn how to use essential Python tools for statistical analysis of agricultural data and present that data on interactive maps

• edX
• 30 minutes
• Self-Paced
• Free Online Course

statistics.com

Principles of Data Science Ethics

Explore ethical considerations in data science, including bias, transparency, and legal issues. Learn frameworks and tools to build responsible AI models and mitigate unintended harm.

• edX
• 4 weeks, 4-5 hours/week
• Self-Paced
• Free Online Course

statistics.com

Applied Data Science Ethics

Learn practical tools to build ethical AI models, interpret results, audit for bias, and implement fairness in data science projects using real-world datasets and Python code.

• edX
• 4 weeks, 4-5 hours/week
• Self-Paced
• Free Online Course

Coursera

Building a Real-World Data Science Solution

Transform theoretical knowledge into practical expertise in this comprehensive project-based course designed for aspiring data professionals. Through an end-to-end project using synthetic customer support data (designed to mirror real-world scenarios) ,…

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

Data Science Foundations with No-Code Tools

Discover how to tackle data projects confidently using no-code platforms for acquisition, cleaning, visualization, and model design to solve real business problems.

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

Credential

Using Data Science Tools in Python

Master Python's essential data science libraries to extract insights from data and drive business decisions through hands-on analysis, visualization, and programming techniques.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 3 courses

Credential

Data Science Program

Master Python programming and data analysis fundamentals for business decision-making, creating a portfolio of modeling tools for prediction, classification, and optimization to achieve real-world results.

• edX
• 11 weeks, 3-4 hours/week
• Self-Paced
• $398.00
• 2 courses

Packt

Data Science Foundations: NumPy, Pandas & Visualization

Master Python's essential data science libraries - NumPy, Pandas, Matplotlib & Seaborn - through hands-on practice with arrays, DataFrames, and compelling visualizations.

• Coursera
• 9 hours 23 minutes
• Self-Paced
• Paid Course

Data Science Fundamentals Part 1: Unit 2

Discover real-world data sourcing through web scraping, APIs, and databases while mastering XML/JSON parsing and ETL pipelines for effective data transformation and analysis.

• Coursera
• 9 hours 5 minutes
• Self-Paced
• Paid Course

Edureka Credential

No-Code Data Science and Machine Learning

Master data science and ML through no-code tools like KNIME, Orange, and Google Vertex AI. Build pipelines, train models, and deploy solutions without programming.

• Coursera
• 8 weeks, 5 hours/week
• Self-Paced
• Paid Course
• 2 courses

Data Science Fundamentals Part 2: Unit 1

Master Python visualization libraries matplotlib and seaborn to create compelling plots, uncover data patterns, and navigate statistical pitfalls like Simpson's Paradox.

• Coursera
• 7 hours 33 minutes
• Self-Paced
• Paid Course

Packt

Mastering Python for Data Science

Unlock Python's power for data analysis, visualization, and machine learning through hands-on projects and real-world case studies spanning statistics to big data processing.

• Coursera
• 17 hours 46 minutes
• Self-Paced
• Paid Course

Credential

Data Science Fundamentals, Part 2

Master advanced data analysis, machine learning algorithms, and visualization techniques using Python tools like pandas, NumPy, and scikit-learn for impactful insights.

• Coursera
• 4 weeks, 5 hours/week
• Self-Paced
• Paid Course
• 3 courses

Data Science and Machine Learning for Business Professionals

Discover foundational data science and machine learning skills to make confident, data-driven decisions and communicate insights effectively to stakeholders in any professional setting.

• Coursera
• 10 hours 41 minutes
• Self-Paced
• Paid Course