Jupyter Notebooks Courses and Certifications

Analyze Customer Reviews with Gemini Using Python Notebooks

Leverage BigQuery ML and Gemini AI to extract insights from customer reviews using Python in Google Cloud, enhancing data analysis skills.

• Coursera
• 1 hour 30 minutes
• Self-Paced
• Paid Course

Packt

Agentic AI Made Simple

Master Agentic AI from foundational principles to real-world deployment, building and managing AI agents, multi-agent systems, and using tools like Bedrock Agents with hands-on exercises.

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

Coursera

Engineer AI Models: Explain, Tune & Experiment

Master AI model engineering through feature tuning, explainability methods like SHAP/LIME, and structured experimentation to transform black box models into trusted, business-ready solutions.

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

Packt

Docker for AI/ML

Master Docker for AI/ML workflows—containerize apps, deploy LLMs locally, simulate production ML systems, and integrate MLFlow, Jupyter, and Docker Compose in hands-on projects.

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

EDUCBA

Seaborn Setup: Tools, Data Prep & EDA for Visualization

Master data visualization with Python's Seaborn library through hands-on census data analysis, creating scatter plots, heatmaps, and advanced visual grids for effective storytelling.

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

Computational Data Science in Physics I

Explore realistic physics research examples using computational methods to analyze LIGO data, detect gravitational waves, and fit signals within physical models using Jupyter notebooks.

• MITx Online
• 6 weeks, 10-15 hours/week
• Self-Paced
• Free Online Course

Codio Career Certificate

Data Science and Analysis Tools - from Jupyter to R Markdown

Comprehensive introduction to data science using Python and R, covering data wrangling, analysis, and visualization. Ideal for beginners seeking practical skills in handling diverse datasets and creating informative visualizations.

• Coursera
• 12 weeks, 2 hours a week
• Self-Paced
• Paid Course
• 4 courses

Career Certificate

Google Advanced Data Analytics

Expand your data analytics skills with hands-on projects using Jupyter Notebook, Python, and Tableau. Prepare for senior roles through advanced topics like machine learning and predictive modeling.

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

Career Certificate

Data Scientist

Explore cloud-based machine learning with Microsoft's program covering Azure ML workspace setup, model training with custom scripts, and deployment of scalable endpoints using Python and Azure ML SDKs.

• edX
• 5 weeks, 1-2 hours/week
• Self-Paced
• $100.00
• 3 courses

Python for Data Analysis

991 ratings at Udemy

Master Python tools like JupyterLab, Numpy, and Pandas for efficient data wrangling and analysis. Create impactful visualizations using Matplotlib and Seaborn to effectively communicate insights from your data.

• Udemy
• 1 hour 10 minutes
• Self-Paced
• Free Online Course

Exploratory Data Analysis in Python

952 ratings at Udemy

A course about how to approach a dataset for the first time

• Udemy
• 1 hour 50 minutes
• Self-Paced
• Paid Course

Learn Data Analysis With Pandas In 2025

931 ratings at Udemy

Learn Data Analysis with Pandas, Matplotlib, & Python in 2025

• Udemy
• 7 hours 49 minutes
• Self-Paced
• Paid Course

Writing production-ready ETL pipelines in Python / Pandas

871 ratings at Udemy

Learn how to write professional ETL pipelines using best practices in Python and Data Engineering.

• Udemy
• 7 hours 4 minutes
• Self-Paced
• Paid Course

The Complete Python Programmer: From Scratch to Applications

756 ratings at Udemy

Let's start coding and developing in Python from scratch to building cool projects!

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

Learn Python from Scratch

746 ratings at Udemy

Start your python journey here. You will be able to build on these foundations to achieve what you want with python.

• Udemy
• 2 hours 36 minutes
• Self-Paced
• Paid Course