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    Jupyter Courses Online

    Learn Jupyter for interactive data analysis and visualization. Understand how to use Jupyter Notebooks for scientific computing and data exploration.

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    Explore the Jupyter Course Catalog

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Basic Data Processing and Visualization

      Skills you'll gain: Web Scraping, Data Visualization, Interactive Data Visualization, Data Visualization Software, Pandas (Python Package), Data Processing, Data Manipulation, Jupyter, Data Import/Export, Data Cleansing, JSON, Matplotlib, NumPy, Exploratory Data Analysis, Python Programming

      4.3
      Rating, 4.3 out of 5 stars
      ·
      198 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Mathematics for Machine Learning: PCA

      Skills you'll gain: Dimensionality Reduction, Probability & Statistics, NumPy, Statistics, Jupyter, Linear Algebra, Data Science, Python Programming, Machine Learning, Applied Mathematics

      4
      Rating, 4 out of 5 stars
      ·
      3.2K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      F

      Fractal Analytics

      Python for Data Science

      Skills you'll gain: Feature Engineering, Data Visualization, Exploratory Data Analysis, Probability & Statistics, Data Presentation, Data Wrangling, Jupyter, Data Storytelling, Statistics, Pandas (Python Package), Data Processing, Data Science, Data Manipulation, Data Cleansing, Statistical Analysis, Data Transformation, Data Analysis, Programming Principles, Python Programming, Matplotlib

      4.1
      Rating, 4.1 out of 5 stars
      ·
      51 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      L

      LearnQuest

      Introduction to Data Science and scikit-learn in Python

      Skills you'll gain: Scikit Learn (Machine Learning Library), Feature Engineering, Data Manipulation, Applied Machine Learning, Pandas (Python Package), Data Processing, Predictive Modeling, Data Analysis, Python Programming, Machine Learning, NumPy, Statistical Hypothesis Testing, Statistical Analysis, Computer Programming, Data Science, Classification And Regression Tree (CART), Data Structures

      3.7
      Rating, 3.7 out of 5 stars
      ·
      52 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      P

      Packt

      Foundations of Data Analysis with Pandas and Python

      Skills you'll gain: Pandas (Python Package), Object Oriented Programming (OOP), Data Import/Export, Jupyter, Data Manipulation, Data Analysis, Programming Principles, Exploratory Data Analysis, Python Programming, Software Installation, Development Environment

      4.7
      Rating, 4.7 out of 5 stars
      ·
      24 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      L

      Ludwig-Maximilians-Universität München (LMU)

      Computers, Waves, Simulations: A Practical Introduction to Numerical Methods using Python

      Skills you'll gain: Finite Element Methods, Numerical Analysis, Jupyter, NumPy, Applied Mathematics, Differential Equations, Simulations, Mathematical Modeling, Python Programming, Calculus, Linear Algebra

      4.8
      Rating, 4.8 out of 5 stars
      ·
      386 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      Universidad Nacional Autónoma de México

      Python: de cero a usuario

      Skills you'll gain: Package and Software Management, Jupyter, Software Installation, Development Environment, Python Programming, Cross Platform Development, Linux, Mac OS, Software Documentation, Command-Line Interface, Program Development

      4.3
      Rating, 4.3 out of 5 stars
      ·
      41 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Large Language Model Operations (LLMOps)

      Skills you'll gain: Prompt Engineering, Apache Airflow, Generative AI, Databricks, Large Language Modeling, MySQL, Extract, Transform, Load, Data Pipelines, Scalability, Jupyter, Exploratory Data Analysis, Data Lakes, Serverless Computing, Microsoft Azure, Data Transformation, Data Ethics, OpenAI, Apache Spark, Debugging, PyTorch (Machine Learning Library)

      4.4
      Rating, 4.4 out of 5 stars
      ·
      201 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM AI Enterprise Workflow

      Skills you'll gain: Feature Engineering, Exploratory Data Analysis, Unsupervised Learning, Data Ethics, Apache Spark, Data Pipelines, Probability Distribution, PySpark, Data Processing, Data Cleansing, MLOps (Machine Learning Operations), Data Storytelling, Data Visualization Software, Supervised Learning, Business Process, Unit Testing, Applied Machine Learning, Data Science, Machine Learning, Python Programming

      4.3
      Rating, 4.3 out of 5 stars
      ·
      329 reviews

      Advanced · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Introduction to Big Data with Spark and Hadoop

      Skills you'll gain: Apache Spark, Apache Hadoop, PySpark, Apache Hive, Big Data, Data Processing, Performance Tuning, Distributed Computing, Development Environment, Scalability, Debugging

      4.4
      Rating, 4.4 out of 5 stars
      ·
      449 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      AI and Public Health

      Skills you'll gain: Artificial Intelligence, Data Ethics, Supervised Learning, Machine Learning Algorithms, Machine Learning, Applied Machine Learning, Jupyter, Environmental Monitoring, Information Privacy, Exploratory Data Analysis, Data Analysis, Predictive Modeling, Public Health

      4.8
      Rating, 4.8 out of 5 stars
      ·
      234 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Fitting Statistical Models to Data with Python

      Skills you'll gain: Bayesian Statistics, Statistical Modeling, Statistical Inference, Regression Analysis, Statistical Methods, Statistical Programming, Statistical Analysis, Statistical Machine Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Probability & Statistics, Correlation Analysis, Statistical Hypothesis Testing, Probability, Python Programming

      4.4
      Rating, 4.4 out of 5 stars
      ·
      708 reviews

      Intermediate · Course · 1 - 4 Weeks

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    In summary, here are 10 of our most popular jupyter courses

    • Basic Data Processing and Visualization: University of California San Diego
    • Mathematics for Machine Learning: PCA: Imperial College London
    • Python for Data Science: Fractal Analytics
    • Introduction to Data Science and scikit-learn in Python: LearnQuest
    • Foundations of Data Analysis with Pandas and Python: Packt
    • Computers, Waves, Simulations: A Practical Introduction to Numerical Methods using Python: Ludwig-Maximilians-Universität München (LMU)
    • Python: de cero a usuario: Universidad Nacional Autónoma de México
    • Large Language Model Operations (LLMOps): Duke University
    • IBM AI Enterprise Workflow: IBM
    • Introduction to Big Data with Spark and Hadoop: IBM

    Skills you can learn in Software Development

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