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Jupyter Courses

Jupyter courses can help you learn data visualization, interactive computing, and how to create reproducible research. You can build skills in Python programming, data analysis with libraries like Pandas and NumPy, and using Markdown for documentation. Many courses introduce tools such as Jupyter Notebook and JupyterLab, which allow you to combine code, text, and visualizations seamlessly, making it easier to present your findings and collaborate on projects.

Popular Jupyter Courses and Certifications


  • C

    Coursera

    PySpark Foundations: Process, analyze, and summarize data

    Skills you'll gain: PySpark, Apache Spark, Data Synthesis, Data Visualization Software, Data Analysis, Exploratory Data Analysis, Data Cleansing, Data Wrangling, Data Processing, Data Manipulation, Big Data, Data Science, Jupyter, People Analytics

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Principal Component Analysis with NumPy

    Skills you'll gain: Exploratory Data Analysis, NumPy, Data Visualization, Data Analysis, Plot (Graphics), Seaborn, Matplotlib, Statistical Visualization, Cloud Computing, Jupyter, Dimensionality Reduction, Data Science, Unsupervised Learning, Scikit Learn (Machine Learning Library), Machine Learning Methods, Numerical Analysis, Python Programming, Data Manipulation

    ★ 4.6 (298) · Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Logistic Regression with NumPy and Python

    Skills you'll gain: Matplotlib, Seaborn, Exploratory Data Analysis, Logistic Regression, NumPy, Machine Learning Methods, Jupyter, Scikit Learn (Machine Learning Library), Data Science, Machine Learning, Machine Learning Algorithms, Python Programming

    ★ 4.5 (396) · Beginner · Guided Project · Less Than 2 Hours

  • L

    Logical Operations

    Python Data Science: Environment Setup

    Skills you'll gain: Jupyter, Software Installation, System Configuration, Package and Software Management, Virtual Machines, Data Science, Pandas (Python Package), Data Processing, NumPy, Computer Programming Tools, Virtualization and Virtual Machines, Matplotlib, Data Analysis, Python Programming, Seaborn, Software Development, Computer Programming

    Mixed · Course · 1 - 4 Weeks

  • U

    Universidad Austral

    NLP Modelos y Algoritmos

    Skills you'll gain: Natural Language Processing, Machine Learning Algorithms, Artificial Neural Networks, Machine Learning Methods, Tensorflow, Applied Machine Learning, Deep Learning, Model Training, Scikit Learn (Machine Learning Library), Python Programming, Jupyter, Machine Learning, Algorithms, Network Architecture

    ★ 3.7 (10) · Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Análisis exploratorio de datos con Python y Pandas

    Skills you'll gain: Exploratory Data Analysis, Pandas (Python Package), Data Visualization, Seaborn, Plot (Graphics), Jupyter, Matplotlib, Data Analysis, Data Science, Statistical Analysis, NumPy, Data Manipulation, Data Cleansing, Descriptive Statistics, Python Programming, Data Quality

    ★ 4.1 (15) · Beginner · Guided Project · Less Than 2 Hours

  • U

    University of Michigan

    Fitting Statistical Models to Data with Python

    Skills you'll gain: Statistical Modeling, Statistical Methods, Bayesian Statistics, Statistical Inference, Statistical Software, Model Evaluation, Statistical Analysis, Statistical Programming, Regression Analysis, Predictive Modeling, Advanced Analytics, Jupyter, Logistic Regression, Exploratory Data Analysis, Correlation Analysis, Dependency Analysis, Python Programming, Data Visualization Software

    ★ 4.4 (717) · Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Data Analysis with the FraudFinder Workshop

    Skills you'll gain: Model Deployment, Fraud detection, Feature Engineering, Exploratory Data Analysis, Model Evaluation, Model Training, Real Time Data, Applied Machine Learning, MLOps (Machine Learning Operations), Data Store, Jupyter, Data Analysis, Data Warehousing, Machine Learning

    Beginner · Project · Less Than 2 Hours

  • C

    Coursera

    Machine Learning Pipelines with Azure ML Studio

    Skills you'll gain: Model Deployment, Decision Tree Learning, Applied Machine Learning, Predictive Modeling, Machine Learning Software, Microsoft Azure, No-Code Development, Machine Learning, Data Preprocessing, Predictive Analytics, Model Training, Cloud Deployment, Feature Engineering, Machine Learning Algorithms, Model Evaluation, Data Science, Data Analysis, Classification Algorithms

    ★ 4.5 (831) · Beginner · Guided Project · Less Than 2 Hours

  • G

    Google Cloud

    Introduction to Trading, Machine Learning & GCP

    Skills you'll gain: Machine Learning Methods, Model Evaluation, Machine Learning, Google Cloud Platform, Model Training, Machine Learning Algorithms, Applied Machine Learning, Supervised Learning, Machine Learning Software, Time Series Analysis and Forecasting, Financial Trading, Deep Learning, Statistical Machine Learning, Model Optimization, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Securities Trading, Technical Analysis, Cloud Platforms, Finance

    ★ 4 (898) · Intermediate · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Apply Artificial Intelligence Using Python for Beginners

    Skills you'll gain: AI Workflows, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML)

    Beginner · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Process Documents with Python Using the Document AI API

    Skills you'll gain: Email Automation, Google Cloud Platform, Unstructured Data, Cloud API, Jupyter, AI Integrations, Document Management, Real Time Data, Python Programming

    ★ 4.8 (6) · Beginner · Project · Less Than 2 Hours

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

  • PySpark Foundations: Process, analyze, and summarize data: Coursera
  • Principal Component Analysis with NumPy: Coursera
  • Logistic Regression with NumPy and Python: Coursera
  • Python Data Science: Environment Setup: Logical Operations
  • NLP Modelos y Algoritmos: Universidad Austral
  • Análisis exploratorio de datos con Python y Pandas: Coursera
  • Fitting Statistical Models to Data with Python: University of Michigan
  • Data Analysis with the FraudFinder Workshop: Google Cloud
  • Machine Learning Pipelines with Azure ML Studio: Coursera
  • Introduction to Trading, Machine Learning & GCP: Google Cloud

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