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    Results for "basic python syntax"

    • Status: Free Trial
      Free Trial
      G

      Google

      The Power of Statistics

      Skills you'll gain: Sampling (Statistics), Descriptive Statistics, Statistical Hypothesis Testing, Data Analysis, Probability Distribution, Statistics, Data Science, Statistical Analysis, A/B Testing, Statistical Methods, Probability, Statistical Inference, Statistical Programming, Python Programming, Technical Communication

      4.8
      Rating, 4.8 out of 5 stars
      ·
      836 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Preview
      Preview
      D

      DeepLearning.AI

      Generative AI with Large Language Models

      Skills you'll gain: Generative AI, Large Language Modeling, Prompt Engineering, PyTorch (Machine Learning Library), Python Programming, Applied Machine Learning, Scalability, Natural Language Processing, Responsible AI, Machine Learning, Reinforcement Learning, Performance Tuning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.5K reviews

      Intermediate · Course · 1 - 4 Weeks

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

      University of Pittsburgh

      Linear Algebra and Regression Fundamentals for Data Science

      Skills you'll gain: NumPy, Matplotlib, Linear Algebra, Pandas (Python Package), Data Manipulation, Applied Mathematics, Python Programming, Data Analysis, Data Science, Regression Analysis, Data Visualization Software, Mathematics and Mathematical Modeling, Probability & Statistics, Numerical Analysis, Mathematical Modeling, Machine Learning, Computational Logic, Logical Reasoning

      Build toward a degree

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Data Representation and Serialization

      Skills you'll gain: Interoperability, Data Transformation, Python Programming, Application Security

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Pearson

      Data Science Fundamentals, Part 2

      Skills you'll gain: Exploratory Data Analysis, Predictive Modeling, Statistical Modeling, Matplotlib, A/B Testing, Box Plots, Sampling (Statistics), Predictive Analytics, Data Analysis, Regression Analysis, Statistical Inference, Data Visualization, Descriptive Statistics, Scikit Learn (Machine Learning Library), Data Science, Estimation, Statistical Analysis, NumPy, Machine Learning, Python Programming

      Beginner · Specialization · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI for Data Analysts

      Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, Data Storytelling, ChatGPT, OpenAI, Analytics, Data Analysis, Interactive Data Visualization, Dashboard, Artificial Intelligence and Machine Learning (AI/ML), Data Ethics, Data Visualization Software, Python Programming, Data Processing, Responsible AI, Machine Learning, Virtual Environment, Query Languages

      4.7
      Rating, 4.7 out of 5 stars
      ·
      8.8K reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Pearson

      Data Science Fundamentals, Part 1

      Skills you'll gain: Extract, Transform, Load, Data Validation, Data Transformation, Applied Machine Learning, Object-Relational Mapping, Data Wrangling, Data Cleansing, Data Manipulation, Data Integration, Web Scraping, Data Quality, Data Pipelines, Pandas (Python Package), Descriptive Statistics, Data Modeling, Data Science, Python Programming, Scikit Learn (Machine Learning Library), Extensible Markup Language (XML), Data Analysis

      Beginner · Specialization · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Mathematics for Machine Learning: PCA

      Skills you'll gain: Dimensionality Reduction, NumPy, Probability & Statistics, Jupyter, Data Science, Statistics, Linear Algebra, Python Programming, Machine Learning, Calculus

      4
      Rating, 4 out of 5 stars
      ·
      3.2K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Fundamentals of Computing

      Skills you'll gain: Computational Thinking, Event-Driven Programming, Algorithms, Combinatorics, Graph Theory, Programming Principles, Application Development, Object Oriented Programming (OOP), Data Structures, Probability, Computer Programming, Bioinformatics, Interactive Design, Program Development, Big Data, Python Programming, Data Analysis, User Interface (UI), Theoretical Computer Science, Computer Science

      4.8
      Rating, 4.8 out of 5 stars
      ·
      4.1K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Pearson

      Generative AI for Developers: Unit 2

      Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, Microsoft Copilot, Scripting, Python Programming, Application Development, Web Applications, Jupyter, Web Development, Data Analysis, Pandas (Python Package), Test Driven Development (TDD), Debugging

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Calculus for Machine Learning and Data Science

      Skills you'll gain: Applied Mathematics, Calculus, Numerical Analysis, Mathematical Modeling, Machine Learning, Python Programming, Regression Analysis, Artificial Neural Networks, Deep Learning, Derivatives

      4.8
      Rating, 4.8 out of 5 stars
      ·
      892 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Mathematics for Machine Learning

      Skills you'll gain: Linear Algebra, Dimensionality Reduction, NumPy, Regression Analysis, Calculus, Applied Mathematics, Probability & Statistics, Machine Learning Algorithms, Jupyter, Data Science, Advanced Mathematics, Statistics, Statistical Analysis, Artificial Neural Networks, Algorithms, Data Manipulation, Python Programming, Machine Learning, Derivatives

      4.6
      Rating, 4.6 out of 5 stars
      ·
      15K reviews

      Beginner · Specialization · 3 - 6 Months

    1…474849…381

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

    • The Power of Statistics: Google
    • Generative AI with Large Language Models: DeepLearning.AI
    • Linear Algebra and Regression Fundamentals for Data Science: University of Pittsburgh
    • Data Representation and Serialization: Packt
    • Data Science Fundamentals, Part 2: Pearson
    • Generative AI for Data Analysts: IBM
    • Data Science Fundamentals, Part 1: Pearson
    • Mathematics for Machine Learning: PCA: Imperial College London
    • Fundamentals of Computing: Rice University
    • Generative AI for Developers: Unit 2: Pearson

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