Online Courses to Learn Jupyter

Explore 88 data science courses and free resources covering everything you need to know about Jupyter.

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OverviewRelated TrainingCareer Relevance

Overview

Multi-language interactive computing environments.

Related Training

88 learning opportunities
LinkedIn
Introducing Jupyter

Beginner

$25
Jupyter Data Visualization
Free Data Science Cheat Sheets
DataCamp
Free
Jupyter Notebook Cheat Sheet
Jupyter Python Data Science Programming
Dataquest
Python Functions and Jupyter Notebook
Jupyter Python Data Analysis Data Science Debugging Functions Programming
Coursera
University of Illinois at Urbana-Champaign
Free
Accounting Data Analytics with Python

32 hours

Intermediate

8,090
Jupyter Matplotlib Microsoft Excel NumPy Pandas Arrays Automation Big Data Data Analysis Data Analytics
edX
University of California, San Diego
Free
Big Data Analytics Using Spark

10 weeks, 11 hours/week

Advanced
Apache Spark Hadoop Jupyter PySpark Big Data Cluster Analysis Data Analysis Data Analytics Data Cleaning
Coursera
Free
Computers, Waves, Simulations: A Practical Introduction to Numerical Methods using Python
Heiner Igel

35 hours

Intermediate

16,850
Jupyter Python Algorithms Data Analysis Data Modeling Elastic Search Functions
freeCodeCamp
Free
Data Analysis with Python
Jupyter Matplotlib Microsoft Excel NumPy Pandas Arrays Data Analysis Data Cleaning Data Visualization Databases
freeCodeCamp
Free
Data Analysis with Python for Excel Users
Frank Andrade

4 hours

180,000
Anaconda Jupyter Microsoft Excel Pandas Python Data Analysis Data Sets Data Types Data Visualization Functions
Coursera
New York Institute of Finance
New York Institute of Finance - NYIF
Free
Introduction to Trading, Machine Learning & GCP

9 hours

Intermediate

30,178
Google BigQuery Google Cloud Platform Jupyter Pandas Python Algorithms Cloud Computing Data Modeling Data Sets Deep Learning
Coursera
University of Cape Town
Free
Julia Scientific Programming

18 hours

Beginner

31,188
Julia Jupyter R Programming Arrays Data Modeling Data Science Data Visualization Functions
Coursera
Universidad Austral
Free
Limpieza de datos para el procesamiento de lenguaje natural
Hernán Daniel Merlino

13 hours

Beginner
Anaconda Javascript Jupyter Natural Language Toolkit Pandas Natural Language Processing
Coursera
University of Illinois at Urbana-Champaign
Free
Machine Learning for Accounting with Python

64 hours

Intermediate

6,368
Jupyter Python scikit-learn Algorithms Classification Cluster Analysis Data Analysis Data Analytics
Coursera
Universidad Austral
Free
NLP Modelos y Algoritmos
Hernán Daniel Merlino

11 hours

Beginner
Anaconda Jupyter Natural Language Toolkit Python Tensorflow Natural Language Processing
LinkedIn
NumPy Data Science Essential Training

$30
Jupyter NumPy Python Data Analytics Data Science Machine Learning Programming Statistical Analysis
Coursera
The Hong Kong University of Science and Technology
Free
Python and Statistics for Financial Analysis

13 hours

Intermediate

112,960
Jupyter Pandas Python Confidence Intervals Data Analysis Data Modeling Data Science Data Visualization
Coursera
Free
Statistics for Data Science with Python

12 hours

2,100
Jupyter Python Watson Correlation Data Analysis Data Science Data Sets Data Types
Coursera
Free
Tools for Data Science

19 hours

Beginner

242,436
Github Jupyter Python R Programming RStudio APIs Cloud Computing Data Science Data Sets Programming
Free Online Data Science Textbooks
University of Washington
Free
Visualization Curriculum
Javascript Jupyter Data Types Data Visualization Debugging
Coursera
Duke University
Free
Web Applications and Command-Line Tools for Data Engineering

15 hours

Intermediate
Amazon Web Services C Github Jupyter Python Automation Data Warehouse Machine Learning Natural Language Processing
Udacity
BMW
AI for Business Leaders
Jupyter Microsoft Excel Salesforce Applied Mathematics Artificial Intelligence Customer Analytics Data Modeling Data Science
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Career Relevance

Jupyter is most likely to appear on Data Scientist job descriptions where we found it mentioned 2.1 percent of the time.

1. Data Scientist
2.1%
2. Data Engineer
1.8%
3. Data Architect
1.2%
4. Data Analyst
0.7%
5. Business Analyst
0.0%

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