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Beginner Python Courses

Beginner Python courses can help you learn programming fundamentals, data types, control structures, and functions. You can build skills in writing clean code, debugging, and using libraries for data manipulation and visualization. Many courses introduce tools like Jupyter Notebook for interactive coding, Git for version control, and libraries such as Pandas and Matplotlib for data analysis and visualization.


More to explore:

Popular Beginner Python Courses and Certifications


  • Status: Free Trial
    Free Trial
    U

    University of Colorado System

    Introduction to Clinical Data Science

    Skills you'll gain: Tidyverse (R Package), Clinical Data Management, Clinical Research, Health Insurance Portability And Accountability Act (HIPAA) Compliance, R Programming, Google Cloud Platform, Data Ethics, Data Science, Health Informatics, Data Processing, Electronic Medical Record, Data Manipulation, SQL, Data Access

    4.5
    Rating, 4.5 out of 5 stars
    ·
    426 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Principles of Computing (Part 2)

    Skills you'll gain: Computational Thinking, Programming Principles, Algorithms, Data Structures, Theoretical Computer Science, Computer Programming, Python Programming, Computer Science, Verification And Validation, Game Theory, Mathematical Modeling, Test Case, Simulations

    4.8
    Rating, 4.8 out of 5 stars
    ·
    365 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Codio

    Data Science and Analysis Tools - from Jupyter to R Markdown

    Skills you'll gain: Rmarkdown, Box Plots, Plot (Graphics), Descriptive Statistics, Scatter Plots, Histogram, Jupyter, Matplotlib, Data Presentation, Ggplot2, Statistical Visualization, Data Manipulation, Statistical Hypothesis Testing, Regression Analysis, Correlation Analysis, Data Visualization, Data Visualization Software, Data Analysis, R Programming, Python Programming

    3.9
    Rating, 3.9 out of 5 stars
    ·
    25 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    F

    Fractal Analytics

    Generative AI for Developers

    Skills you'll gain: Prompt Engineering, Responsible AI, Generative AI, Generative Model Architectures, Code Review, Data Ethics, Artificial Intelligence, Object Oriented Programming (OOP), Large Language Modeling, Software Technical Review, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), AI Enablement, Artificial Neural Networks, Maintainability, Computer Programming, Debugging, Problem Solving, Critical Thinking, Data Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    196 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    MLOps Platforms: Amazon SageMaker and Azure ML

    Skills you'll gain: AWS SageMaker, MLOps (Machine Learning Operations), Microsoft Azure, Model Deployment, Exploratory Data Analysis, Data Pipelines, Amazon Web Services, Feature Engineering, Cloud Solutions, Model Evaluation, Data Preprocessing, Cloud Deployment, Data Analysis, Serverless Computing, Machine Learning, Python Programming

    3.6
    Rating, 3.6 out of 5 stars
    ·
    54 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Introduction to Machine Learning in Sports Analytics

    Skills you'll gain: Scikit Learn (Machine Learning Library), Supervised Learning, Applied Machine Learning, Model Evaluation, Predictive Analytics, Feature Engineering, Classification And Regression Tree (CART), Machine Learning Algorithms, Predictive Modeling, Analytics, Decision Tree Learning, Machine Learning, Logistic Regression, Data Analysis, Classification Algorithms, Data Preprocessing, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    27 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Explainable AI (XAI)

    Skills you'll gain: Responsible AI, Data Ethics, Large Language Modeling, Decision Tree Learning, AI Security, Regression Analysis, Generative AI, Artificial Intelligence, AI Product Strategy, Statistical Modeling, Python Programming, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Model Evaluation, Applied Machine Learning, Logistic Regression, Machine Learning Methods, Deep Learning, Visualization (Computer Graphics), Data Literacy

    4.7
    Rating, 4.7 out of 5 stars
    ·
    80 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free
    Free
    C

    Coursera

    Data Science Coding Challenge: Loan Default Prediction

    Skills you'll gain: Applied Machine Learning, Jupyter, Predictive Modeling, Machine Learning, Data Manipulation, Data Preprocessing, Data Science, Model Evaluation, Data Analysis, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    108 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    I

    IBM

    Deep Learning and Reinforcement Learning

    Skills you'll gain: Autoencoders, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Reinforcement Learning, Generative Adversarial Networks (GANs), Deep Learning, Unsupervised Learning, Machine Learning Methods, Transfer Learning, Artificial Neural Networks, Keras (Neural Network Library), Machine Learning, Artificial Intelligence, Computer Vision, Dimensionality Reduction, Model Evaluation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    289 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Exploring C

    Skills you'll gain: C (Programming Language), Python Programming, Programming Principles, System Programming, Computer Programming, Unix, Computer Science

    4.5
    Rating, 4.5 out of 5 stars
    ·
    88 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Wearable Technologies and Sports Analytics

    Skills you'll gain: Sports Medicine, Injury Prevention, Athletic Training, Physiology, Analytics, Physical Stamina, Data Analysis, Advanced Analytics, Medical Equipment and Technology, Vital Signs, Health Technology, Python Programming, Machine Learning, Data Collection

    4.5
    Rating, 4.5 out of 5 stars
    ·
    45 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    N

    New York University

    Guided Tour of Machine Learning in Finance

    Skills you'll gain: Supervised Learning, Model Evaluation, Applied Machine Learning, Machine Learning, Statistical Methods, Artificial Neural Networks, Predictive Modeling, Scikit Learn (Machine Learning Library), Regression Analysis, Deep Learning, Finance, Financial Market, Tensorflow, Logistic Regression, Jupyter, Reinforcement Learning

    3.8
    Rating, 3.8 out of 5 stars
    ·
    681 reviews

    Intermediate · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular beginner python courses

  • Introduction to Clinical Data Science: University of Colorado System
  • Principles of Computing (Part 2): Rice University
  • Data Science and Analysis Tools - from Jupyter to R Markdown: Codio
  • Generative AI for Developers: Fractal Analytics
  • MLOps Platforms: Amazon SageMaker and Azure ML: Duke University
  • Introduction to Machine Learning in Sports Analytics: University of Michigan
  • Explainable AI (XAI): Duke University
  • Data Science Coding Challenge: Loan Default Prediction: Coursera
  • Deep Learning and Reinforcement Learning: IBM
  • Exploring C : University of Michigan

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