Jupyter Notebooks Courses and Certifications

IBM Data Analyst Capstone Project

1344 ratings at Coursera

Apply data analysis skills to real-world datasets, covering collection, wrangling, exploration, visualization, and dashboard creation. Culminates in a comprehensive report showcasing proficiency with various tools and techniques.

• Coursera
• 1 day 1 hour 56 minutes
• Self-Paced
• Paid Course

Career Certificate

Digital Signal Processing

812 ratings at Coursera

Comprehensive exploration of digital signal processing, covering audio processing, data transmission, Fourier transform, digital filters, and real-time DSP algorithms with practical Python examples.

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

Coursera Career Certificate

SQL for Data Analysis and Business Insights

981 ratings at Coursera

Master SQL from basics to advanced techniques through real-world business scenarios, building practical data analysis skills with modern tools and optimization methods.

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

Google Cloud;  New York Institute of Finance

Introduction to Trading, Machine Learning & GCP

898 ratings at Coursera

Explore trading fundamentals, machine learning, and Google Cloud Platform to build quantitative strategies and models using Python, focusing on regression, time series, and neural networks.

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

CodeWithHarry

Jupyter Notebook Installation and Demo - Python Data Science and Big Data Tutorials in Hindi

जूपिटर नोटबुक की स्थापना और उपयोग का हिंदी में व्यावहारिक प्रदर्शन, पायथन डेटा साइंस और बिग डेटा के लिए आवश्यक।

• YouTube
• 23 minutes
• Self-Paced
• Free Video

Career Certificate

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
• 13 weeks, 5-10 hours/week
• Self-Paced
• $297.00
• 3 courses

Introduction to R Programming for Data Science

615 ratings at Coursera

Learn R programming essentials for data science: data types, manipulation techniques, and fundamental tasks. Gain practical skills through hands-on exercises using RStudio and Jupyter notebooks for data analysis.

• Coursera
• 11 hours 38 minutes
• Self-Paced
• Paid Course

Python for Data Structures, Algorithms, and Interviews!

12203 ratings at Udemy

Get a kick start on your career and ace your coding interviews!

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

Web Applications and Command-Line Tools for Data Engineering

43 ratings at Coursera

Explore Jupyter notebooks, cloud-hosted environments, Python microservices, and command-line tools for data engineering tasks. Build and deploy scalable solutions for machine learning and data processing.

• Coursera
• 1 day 19 hours 31 minutes
• Self-Paced
• Paid Course

Building Systems with the ChatGPT API

340 ratings at Coursera

Learn to automate complex workflows using ChatGPT API, building prompt chains, integrating Python code, and creating a customer service chatbot. Apply skills to real-world scenarios and enhance development capabilities.

• Coursera
• 1 hour 3 minutes
• Self-Paced
• Paid Course

The Top 5 Machine Learning Libraries in Python

4540 ratings at Udemy

A Gentle Introduction to the Top Python Libraries used in Applied Machine Learning

• Udemy
• 1 hour 40 minutes
• Self-Paced
• Free Online Course

Introduction to Data Science

254 ratings at edX

Learn about the world of data science first-hand from real data scientists.

• edX
• 6 weeks, 3-6 hours/week
• Self-Paced
• Free Online Course (Audit)

Modern Statistical Computing and Regression Modeling in R

Discover statistical computing with R, Excel, Tableau, and Jupyter Notebooks while mastering Monte Carlo methods and regression analysis through hands-on practice with real datasets.

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

Programming for Data Science

30 ratings at Coursera

Learn Python basics for data science: variables, data types, control structures, and functions. Practice in Jupyter Notebook to build a foundation for programming and data analysis.

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

2026 Python Data Analysis & Visualization Masterclass

3991 ratings at Udemy

Pandas, Matplotlib, Seaborn, & More! Analyze Dozens of Datasets & Create Stunning Visualizations

• Udemy
• 20 hours 30 minutes
• Self-Paced
• Paid Course