Jupyter Notebooks Courses and Certifications

Introduction to Data Science in Python

46 reviews

Learn Python fundamentals, data manipulation with pandas, and basic statistical analysis. Gain practical skills in cleaning, processing, and analyzing tabular data for data science applications.

• Coursera
• 1 day 10 hours 52 minutes
• On-Demand
• Free Online Course (Audit)

Data Analysis with Python

17 reviews

Learn Python-based data analysis using Numpy, Pandas, and visualization libraries. Covers data cleaning, manipulation, and visualization techniques for extracting insights from various data sources.

• freeCodeCamp
• 300 hours
• On-Demand
• Free Certificate

Probability and Statistics in Data Science using Python

32 reviews

Using Python, learn statistical and probabilistic approaches to understand and gain insights from data.

• edX
• 10 weeks, 10-12 hours a week
• On-Demand
• Free Online Course (Audit)

Mathematics for Machine Learning: Linear Algebra

9 reviews

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
• On-Demand
• Free Online Course (Audit)

Inferential Statistical Analysis with Python

905 ratings at Coursera

Explore inferential statistics using Python, covering confidence intervals and hypothesis testing for various population parameters. Apply concepts to real-world case studies using statistical libraries.

• Coursera
• 21 hours 46 minutes
• On-Demand
• Free Online Course (Audit)

Introduction to Python Programming

1162 ratings at Coursera

Comprehensive introduction to Python programming, covering core concepts, data structures, and file operations with hands-on exercises and practical applications.

• Coursera
• 1 day 4 hours 5 minutes
• On-Demand
• Free Online Course (Audit)

Data Analysis Using Python

403 ratings at Coursera

Learn Python-based data analysis techniques, including data manipulation with pandas, visualization with matplotlib, and practical skills for loading, querying, and summarizing real-world datasets.

• Coursera
• 17 hours 27 minutes
• On-Demand
• Free Online Course (Audit)

Introduction to Data Analysis with Pandas and NumPy

Learn the data analysis process of questioning, wrangling, exploring, analyzing, and communicating data. You will work with data in Python using libraries like NumPy and pandas.

• Udacity
• 3 weeks, 4-5 hours a week
• On-Demand
• Paid Course

Data Visualization with Python

Discover how data visualization can communicate insights far more effectively than text or tables.

• Udacity
• 4 weeks
• On-Demand
• Paid Course

Python Data Science & Machine Learning High School Program NYC

Master Python programming, data science, and machine learning fundamentals through hands-on projects. From basic syntax to advanced regression analysis, build practical skills in data visualization and predictive modeling.

• Noble Desktop
• On-Demand
• Paid Course

Python Data Science & Machine Learning High School

Master Python data science fundamentals through hands-on projects, from basic programming concepts to advanced machine learning techniques like regression analysis, classification, and K-nearest neighbors.

• Noble Desktop
• On-Demand
• Paid Course

Python for Data Science Masterclass

Master Python programming fundamentals through advanced data science techniques, from data handling to machine learning, using NumPy, Pandas, Matplotlib, and scikit-learn.

• Noble Desktop
• On-Demand
• Paid Course

Python Programming Bootcamp

Master Python fundamentals through hands-on coding, from basic syntax to advanced concepts like OOP, while building real projects and learning essential computer science principles and Git version control.

• Noble Desktop
• On-Demand
• Paid Course

Web Applications and Command-Line Tools for Data Engineering

35 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 11 minutes
• On-Demand
• Free Online Course (Audit)

Programming for Data Science

17 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 31 minutes
• On-Demand
• Free Online Course (Audit)