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Python Courses

Python courses can help you learn programming fundamentals, data analysis, web development, and automation techniques. You can build skills in writing clean code, debugging, and using libraries like Pandas and NumPy for data manipulation. Many courses also introduce frameworks such as Flask and Django for web applications, as well as tools like Jupyter Notebooks for interactive coding and visualization. These skills and tools are essential for tackling projects in data science, software development, and artificial intelligence.


Popular Python Courses and Certifications


  • C

    Coursera

    Interpretable Machine Learning Applications: Part 2

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Data Preprocessing, Classification Algorithms, Random Forest Algorithm, Predictive Modeling, Regression Analysis, Decision Tree Learning, Machine Learning, Scikit Learn (Machine Learning Library), Exploratory Data Analysis

    4.2
    Rating, 4.2 out of 5 stars
    ·
    27 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Collaborate and Code: GitHub with Python and Jupyter

    Skills you'll gain: Version Control, GitHub, Jupyter, Git (Version Control System), Generative AI, Software Documentation, Automation

    Beginner · Course · 1 - 4 Weeks

  • L

    LearnQuest

    Neural Networks and Random Forests

    Skills you'll gain: Model Evaluation, Random Forest Algorithm, Keras (Neural Network Library), Tensorflow, Deep Learning, Artificial Neural Networks, Decision Tree Learning, Scikit Learn (Machine Learning Library), Machine Learning, Regression Analysis, Classification Algorithms, Python Programming

    3.3
    Rating, 3.3 out of 5 stars
    ·
    17 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Build an expense tracker app in Django

    Skills you'll gain: Django (Web Framework), Web Applications, Back-End Web Development, Expense Management, Application Development, Database Application, Data Visualization, Business Process Automation, Chart.js, Python Programming, Data Modeling, Data Security, GitHub, Javascript, Git (Version Control System)

    4.1
    Rating, 4.1 out of 5 stars
    ·
    7 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • P

    Packt

    Time Series Forecasting with Facebook Prophet in Python

    Skills you'll gain: Forecasting, Data Preprocessing, Predictive Modeling, Model Evaluation, Data Manipulation, Anomaly Detection, Exploratory Data Analysis

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Washington

    Data Science at Scale - Capstone Project

    Skills you'll gain: Feature Engineering, Model Evaluation, Data Analysis, Predictive Modeling, Data Wrangling, Statistical Modeling, Statistics, Data Science, Data Preprocessing, Predictive Analytics, Data Integration, Data Collection, Applied Machine Learning, R Programming, Research, Data Validation, Python Programming

    3.8
    Rating, 3.8 out of 5 stars
    ·
    26 reviews

    Mixed · Course · 1 - 3 Months

  • D

    Duke University

    Explainable Machine Learning (XAI)

    Skills you'll gain: Responsible AI, Large Language Modeling, Generative AI, Artificial Intelligence, Model Evaluation, Python Programming, Applied Machine Learning, Machine Learning, Visualization (Computer Graphics), Deep Learning, Plot (Graphics), Artificial Neural Networks

    4.7
    Rating, 4.7 out of 5 stars
    ·
    27 reviews

    Intermediate · Course · 1 - 4 Weeks

  • I

    Infosec

    Establishing Command-and-Control and Finding Credentials

    Skills you'll gain: Cyber Operations, Cybersecurity, Authentications, Python Programming, Data Access, System Monitoring, Systems Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    27 reviews

    Mixed · Course · 1 - 4 Weeks

  • D

    Duke University

    Interpretable Machine Learning

    Skills you'll gain: Responsible AI, Large Language Modeling, Decision Tree Learning, Data Ethics, Regression Analysis, Predictive Modeling, Artificial Intelligence, Machine Learning, Statistical Modeling, Python Programming, Logistic Regression, Deep Learning, Artificial Neural Networks

    4.6
    Rating, 4.6 out of 5 stars
    ·
    29 reviews

    Intermediate · Course · 1 - 4 Weeks

  • M

    Microsoft

    Generative AI for Data Science

    Skills you'll gain: Generative AI, Large Language Modeling, Data Ethics, Transfer Learning, Prompt Engineering, Responsible AI, Feature Engineering, Model Deployment, AI Security, Advertising, Marketing, Information Privacy

    4.6
    Rating, 4.6 out of 5 stars
    ·
    26 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Cómo importar datos y crear visualizaciones en Python

    Skills you'll gain: Matplotlib, Data Visualization Software, Data Visualization, Pandas (Python Package), Jupyter, Data Import/Export, Data Science, Data Analysis, Analytical Skills, Python Programming, Scripting

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Machine Learning with PySpark: Customer Churn Analysis

    Skills you'll gain: Model Evaluation, Data Preprocessing, Exploratory Data Analysis, Feature Engineering, Model Deployment, Data Analysis, PySpark, Data Import/Export, Data Transformation, Apache Spark, Decision Tree Learning, Customer Analysis, Predictive Modeling, Predictive Analytics, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    26 reviews

    Intermediate · Guided Project · Less Than 2 Hours

1…929394…150

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

  • Interpretable Machine Learning Applications: Part 2: Coursera
  • Collaborate and Code: GitHub with Python and Jupyter: Coursera
  • Neural Networks and Random Forests: LearnQuest
  • Build an expense tracker app in Django: Coursera
  • Time Series Forecasting with Facebook Prophet in Python: Packt
  • Data Science at Scale - Capstone Project: University of Washington
  • Explainable Machine Learning (XAI): Duke University
  • Establishing Command-and-Control and Finding Credentials: Infosec
  • Interpretable Machine Learning: Duke University
  • Generative AI for Data Science: Microsoft

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