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Results for "python "


  • Status: Free Trial
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    I

    IBM

    Introduction to Big Data with Spark and Hadoop

    Skills you'll gain: Apache Hadoop, Apache Spark, PySpark, Apache Hive, Big Data, IBM Cloud, Kubernetes, Docker (Software), Scalability, Data Processing, Development Environment, Distributed Computing, Performance Tuning, Data Transformation, Debugging

    4.4
    Rating, 4.4 out of 5 stars
    ·
    469 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
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    E

    EDUCBA

    Python Game Development: Design, Animate & Render

    Skills you'll gain: Video Game Development, Animation and Game Design, 3D Assets, Computer Graphics, Visualization (Computer Graphics), User Interface (UI), Animations, Computer Graphic Techniques, UI Components, User Interface (UI) Design, Event-Driven Programming, Interactive Design, Python Programming

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Develop Generative AI Applications: Get Started

    Skills you'll gain: Prompt Engineering, LangChain, LLM Application, Generative AI, AI Workflows, Application Development, Model Evaluation, Flask (Web Framework), Natural Language Processing, Software Development

    4.6
    Rating, 4.6 out of 5 stars
    ·
    382 reviews

    Intermediate · Course · 1 - 4 Weeks

  • I

    IBM

    Scalable Machine Learning on Big Data using Apache Spark

    Skills you'll gain: Apache Spark, PySpark, Applied Machine Learning, Big Data, Machine Learning Methods, Data Storage Technologies, Data Preprocessing, Data Storage, Machine Learning Algorithms, Machine Learning, Distributed Computing, Data Processing, Data Science, Statistical Methods, Model Evaluation, Descriptive Statistics

    3.8
    Rating, 3.8 out of 5 stars
    ·
    1.3K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    W

    Wesleyan University

    Regression Modeling in Practice

    Skills you'll gain: Regression Analysis, Logistic Regression, Statistical Analysis, Statistical Modeling, Data Analysis, Correlation Analysis, Exploratory Data Analysis, SAS (Software), Statistical Programming, Predictive Modeling, Model Evaluation, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    274 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    E

    EDUCBA

    Credit Default Prediction with Python: Apply & Analyze

    Skills you'll gain: Model Evaluation, Exploratory Data Analysis, Data Preprocessing, Predictive Modeling, Decision Tree Learning, Credit Risk, Random Forest Algorithm, Feature Engineering, Financial Modeling, Logistic Regression, Data Analysis, Statistical Machine Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Pandas (Python Package), Machine Learning Methods, Classification Algorithms

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    C

    Coursera

    Hands-On Python Challenge: TrendWave Media

    Skills you'll gain: Data Presentation, Data Storytelling, Technical Documentation, Data Science, Version Control, Data Analysis, Data Processing, Data Cleansing, Analytical Skills, Project Planning, Business Analysis, Data Validation

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    P

    Packt

    Python Course for Data Analysis - Become Data Analyst

    Skills you'll gain: Scatter Plots, Jupyter, Programming Principles, Histogram

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Combinatorics and Probability

    Skills you'll gain: Combinatorics, Probability, Probability Distribution, Algorithms, Bayesian Statistics, Mathematical Modeling, Statistics, Arithmetic, Python Programming, Simulations

    4.6
    Rating, 4.6 out of 5 stars
    ·
    867 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Supervised Machine Learning: Classification

    Skills you'll gain: Classification Algorithms, Supervised Learning, Model Evaluation, Data Preprocessing, Logistic Regression, Decision Tree Learning, Predictive Modeling, Scikit Learn (Machine Learning Library), Data Cleansing, Machine Learning, Feature Engineering, Random Forest Algorithm, Sampling (Statistics), Performance Metric

    4.8
    Rating, 4.8 out of 5 stars
    ·
    448 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of Illinois Urbana-Champaign

    VLSI CAD Part I: Logic

    Skills you'll gain: Computational Logic, Application Specific Integrated Circuits, Theoretical Computer Science, Data Structures, Verification And Validation, Computer Architecture, Systems Design, Algorithms, Computer Engineering, Mathematical Software, Design Software, Computer Programming Tools, Debugging, Digital Design, Software Development Tools

    4.6
    Rating, 4.6 out of 5 stars
    ·
    557 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Machine Learning Pipelines with Azure ML Studio

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

    4.5
    Rating, 4.5 out of 5 stars
    ·
    819 reviews

    Beginner · Guided Project · Less Than 2 Hours

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

  • Introduction to Big Data with Spark and Hadoop: IBM
  • Python Game Development: Design, Animate & Render: EDUCBA
  • Develop Generative AI Applications: Get Started: IBM
  • Scalable Machine Learning on Big Data using Apache Spark: IBM
  • Regression Modeling in Practice: Wesleyan University
  • Credit Default Prediction with Python: Apply & Analyze: EDUCBA
  • Hands-On Python Challenge: TrendWave Media: Coursera
  • Python Course for Data Analysis - Become Data Analyst: Packt
  • Combinatorics and Probability: University of California San Diego
  • Supervised Machine Learning: Classification: IBM

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