Data Science Courses and Certifications

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

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

Career Certificate

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

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

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

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

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

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

Career Certificate

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

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

Packt

Data Science with Python

Master essential Python libraries—NumPy, Pandas, Matplotlib, Plotly, and PyTorch—to manipulate data, create visualizations, process images, and build machine learning models for real-world data science projects.

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

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

Career Certificate

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