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  • Python For Beginners

Python For Beginners Courses

Python for Beginners courses can help you learn basic programming concepts, data types, control structures, and functions. You can build skills in writing clean code, debugging, and using libraries like NumPy and pandas for data manipulation. Many courses also cover practical applications such as web scraping, data visualization, and automating tasks, providing hands-on experience with tools like Jupyter Notebook and Git.


Popular Python For Beginners Courses and Certifications


  • C

    Coursera

    ETL pipelines con Python: recopila datos de Spotify

    Skills you'll gain: Interactive Data Visualization, Data Transformation, Data Presentation, Data Visualization Software, Business Intelligence, Data Analysis, Extract, Transform, Load, Exploratory Data Analysis, Pandas (Python Package), Data Collection, Data Pipelines, Development Environment, Python Programming

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    How to Create a Program Evaluation for Your Non-Profit

    Skills you'll gain: Program Evaluation, Smart Goals, Surveys, Goal Setting, Survey Creation, Performance Measurement, Grant Writing, Data Collection, Research Methodologies

    4.5
    Rating, 4.5 out of 5 stars
    ·
    132 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • G

    Google Cloud

    Optical Character Recognition (OCR) with Document AI (Python)

    Skills you'll gain: Authentications, Cloud API, Google Cloud Platform, Document Management, Real Time Data, Unstructured Data

    Intermediate · Project · Less Than 2 Hours

  • Status: Preview
    Preview
    U

    University of Michigan

    Design Computing: 3D Modeling in Rhinoceros with Python/Rhinoscript

    Skills you'll gain: Data Structures, 3D Modeling, Computational Logic, Visualization (Computer Graphics), Design, Generative Model Architectures, Python Programming, Animations, Scripting, Computer Programming, Automation

    4.9
    Rating, 4.9 out of 5 stars
    ·
    102 reviews

    Beginner · Course · 1 - 3 Months

  • P

    Packt

    Cluster Analysis and Unsupervised Machine Learning in Python

    Skills you'll gain: Unsupervised Learning, Machine Learning Algorithms, Applied Machine Learning, Machine Learning, Scikit Learn (Machine Learning Library), Statistical Methods, Dimensionality Reduction, Algorithms, NumPy, Python Programming

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    LangChain MasterClass: Build 15 LLM Apps with Python

    Skills you'll gain: Prompt Engineering, LLM Application, OpenAI API, OpenAI, Large Language Modeling, Agentic systems, Hugging Face, Embeddings, Application Development, Program Development, AI Workflows, Data Processing, Application Frameworks

    3.4
    Rating, 3.4 out of 5 stars
    ·
    16 reviews

    Intermediate · Course · 3 - 6 Months

  • Status: Preview
    Preview
    I

    Imperial College London

    Creative Thinking: Techniques and Tools for Success

    Skills you'll gain: Creative Thinking, Brainstorming, Ideation, Creativity, Cognitive flexibility, Problem Solving, Collaboration

    4.7
    Rating, 4.7 out of 5 stars
    ·
    5.2K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    Python Scripting Case Study - Creating a Console Application

    Skills you'll gain: Debugging, Data Validation, Business Logic, Programming Principles, Verification And Validation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    10 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    P

    Packt

    A Practical Approach to Timeseries Forecasting Using Python

    Skills you'll gain: Recurrent Neural Networks (RNNs), Forecasting, Statistical Modeling, Model Evaluation, Feature Engineering, Data Visualization Software

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Machine Learning: Theory and Hands-on Practice with Python

    Skills you'll gain: Recurrent Neural Networks (RNNs), Vision Transformer (ViT), PyTorch (Machine Learning Library), Keras (Neural Network Library), Large Language Modeling, Natural Language Processing, Embeddings, AI Personalization, Network Model, Network Architecture, Linear Algebra

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Deep Learning with ANN in Python: Build & Optimize

    Skills you'll gain: Keras (Neural Network Library), Tensorflow, Artificial Neural Networks, Deep Learning, Data Preprocessing, Model Evaluation, Customer Analysis, Applied Machine Learning, Scikit Learn (Machine Learning Library), Development Environment, Predictive Analytics, Pandas (Python Package), Data Cleansing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    9 reviews

    Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    Where, Why, and How of Lambda Functions in Python

    Skills you'll gain: Pandas (Python Package), Data Manipulation, Jupyter, Exploratory Data Analysis, Python Programming, Computational Logic

    4.8
    Rating, 4.8 out of 5 stars
    ·
    34 reviews

    Beginner · Guided Project · Less Than 2 Hours

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

  • ETL pipelines con Python: recopila datos de Spotify: Coursera
  • How to Create a Program Evaluation for Your Non-Profit : Coursera
  • Optical Character Recognition (OCR) with Document AI (Python): Google Cloud
  • Design Computing: 3D Modeling in Rhinoceros with Python/Rhinoscript: University of Michigan
  • Cluster Analysis and Unsupervised Machine Learning in Python: Packt
  • LangChain MasterClass: Build 15 LLM Apps with Python: Packt
  • Creative Thinking: Techniques and Tools for Success: Imperial College London
  • Python Scripting Case Study - Creating a Console Application: EDUCBA
  • A Practical Approach to Timeseries Forecasting Using Python: Packt
  • Machine Learning: Theory and Hands-on Practice with Python: University of Colorado Boulder

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