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    • Python For Beginners

    Python for Beginners Courses Online

    Learn Python programming from scratch. Understand Python syntax, data structures, and basic programming concepts for beginners.

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    Explore the Python for Beginners Course Catalog

    • Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI for Human Resources (HR) Professionals

      Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, HR Tech, Human Resources Software, Human Resources Management and Planning, OpenAI, Human Resources, Workforce Planning, Human Resource Strategy, Data Ethics, Large Language Modeling, Artificial Intelligence, Program Development, Employee Engagement, Content Creation, Recruitment, Performance Appraisal, Employee Onboarding, Image Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.7K reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Mathematics for Machine Learning and Data Science

      Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Probability, Linear Algebra, Statistical Inference, Applied Mathematics, NumPy, Calculus, Dimensionality Reduction, Numerical Analysis, Mathematical Modeling, Machine Learning, Machine Learning Methods, Python Programming, Jupyter, Data Manipulation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.7K reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI for Product Managers

      Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, Commercialization, Product Management, Product Lifecycle Management, Stakeholder Communications, OpenAI, Technical Product Management, Artificial Intelligence, Customer experience improvement, Team Building, Return On Investment, Product Development, New Product Development, Product Strategy, Microsoft Copilot, Large Language Modeling, Technical Communication, Program Development

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.8K reviews

      Intermediate · Specialization · 1 - 3 Months

    • C

      Coursera Project Network

      Concepts in Python: Loops, Functions and Returns

      Skills you'll gain: Computational Thinking, Python Programming, Scripting, Maintainability, Programming Principles, Scripting Languages

      4.7
      Rating, 4.7 out of 5 stars
      ·
      114 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • D

      DeepLearning.AI

      Generative AI for Everyone

      Skills you'll gain: Prompt Engineering, Generative AI, Large Language Modeling, OpenAI, ChatGPT, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Business Process Automation, Automation, Ethical Standards And Conduct, Cloud Applications

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.6K reviews

      Beginner · Course · 1 - 4 Weeks

    • Y

      Yonsei University

      Learn to Speak Korean 1

      Skills you'll gain: Language Competency, Language Learning, Vocabulary, Oral Comprehension, Grammar

      4.9
      Rating, 4.9 out of 5 stars
      ·
      12K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Deep Learning

      Skills you'll gain: Computer Vision, Deep Learning, Image Analysis, Natural Language Processing, Artificial Neural Networks, Tensorflow, Supervised Learning, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Applied Machine Learning, PyTorch (Machine Learning Library), Machine Learning, Debugging, Performance Tuning, Keras (Neural Network Library), Python Programming, Machine Learning Algorithms, Analysis, Data Processing

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      146K reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      University of California San Diego

      Biology Meets Programming: Bioinformatics for Beginners

      Skills you'll gain: Bioinformatics, Programming Principles, Molecular Biology, Python Programming, Computational Thinking, Biology, Algorithms, Data Structures

      4.2
      Rating, 4.2 out of 5 stars
      ·
      1.6K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Pennsylvania

      Finance & Quantitative Modeling for Analysts

      Skills you'll gain: Return On Investment, Financial Reporting, Capital Budgeting, Financial Statements, Financial Modeling, Mathematical Modeling, Statistical Modeling, Regression Analysis, Business Modeling, Income Statement, Financial Analysis, Risk Analysis, Cash Flows, Business Mathematics, Financial Planning, Corporate Finance, Predictive Analytics, Spreadsheet Software, Google Sheets, Microsoft Excel

      4.5
      Rating, 4.5 out of 5 stars
      ·
      17K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Statistics for Data Science with Python

      Skills you'll gain: Descriptive Statistics, Statistical Analysis, Data Analysis, Probability Distribution, Statistics, Data Visualization, Statistical Hypothesis Testing, Regression Analysis, Probability & Statistics, Data Science, Matplotlib, Exploratory Data Analysis, Probability, Correlation Analysis, Pandas (Python Package), Jupyter

      4.5
      Rating, 4.5 out of 5 stars
      ·
      436 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM Generative AI Engineering

      Skills you'll gain: Prompt Engineering, Large Language Modeling, Predictive Modeling, Unit Testing, Supervised Learning, Feature Engineering, Generative AI, Keras (Neural Network Library), Deep Learning, Exploratory Data Analysis, Artificial Intelligence, Data Wrangling, ChatGPT, Natural Language Processing, Data Analysis, Jupyter, Unsupervised Learning, PyTorch (Machine Learning Library), Generative AI Agents, Data Ethics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      87K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I
      U
      I

      Multiple educators

      Data Science Foundations

      Skills you'll gain: Dashboard, Pseudocode, Jupyter, Algorithms, Data Literacy, Data Mining, Pandas (Python Package), Correlation Analysis, Web Scraping, NumPy, Probability & Statistics, Predictive Modeling, Big Data, Automation, Data Visualization Software, Data Collection, Data Science, GitHub, Machine Learning Algorithms, Unsupervised Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      113K reviews

      Beginner · Specialization · 3 - 6 Months

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

    • Generative AI for Human Resources (HR) Professionals: IBM
    • Mathematics for Machine Learning and Data Science: DeepLearning.AI
    • Generative AI for Product Managers: IBM
    • Concepts in Python: Loops, Functions and Returns: Coursera Project Network
    • Generative AI for Everyone: DeepLearning.AI
    • Learn to Speak Korean 1: Yonsei University
    • Deep Learning: DeepLearning.AI
    • Biology Meets Programming: Bioinformatics for Beginners: University of California San Diego
    • Finance & Quantitative Modeling for Analysts: University of Pennsylvania
    • Statistics for Data Science with Python: IBM

    Skills you can learn in Data Analysis

    Analytics (85)
    Big Data (64)
    Python Programming (47)
    Business Analytics (40)
    R Programming (37)
    Statistical Analysis (36)
    Sql (33)
    Data Model (29)
    Data Mining (27)
    Exploratory Data Analysis (26)
    Data Modeling (21)
    Data Manipulation (20)

    Frequently Asked Questions about Python For Beginners

    Python courses for beginners cover a variety of foundational topics essential for learning to program with Python. These include the basics of Python syntax, variables, and data types. Learners will explore topics such as control structures (if statements, loops), functions, and basic data structures like lists, dictionaries, and tuples. Courses often include an introduction to modules and libraries, error handling, and basic file I/O operations. Practical exercises and projects help learners apply these concepts to real-world scenarios, enhancing their ability to write simple Python programs.‎

    Choosing the right Python course for beginners depends on your learning preferences and goals. Look for courses that cover the basics of Python programming in a clear and structured manner. Consider courses that provide practical exercises, quizzes, and projects to reinforce learning. Reviewing course content, instructor expertise, and learner feedback can help ensure the course aligns with your learning style and goals. Many courses also offer interactive content and hands-on projects to help solidify your understanding of Python.‎

    Completing a Python course for beginners can open up various career opportunities and serve as a stepping stone to more advanced programming roles. Common entry-level roles include junior developer, data analyst, and QA tester. These positions involve writing and debugging Python code, analyzing data sets, and developing simple applications. With further learning and experience, you can advance to roles such as software developer, data scientist, or machine learning engineer. Mastering Python as a beginner can significantly enhance your career prospects in fields such as technology, finance, healthcare, and education.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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