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  • Python For Data Science

Python for Data Science Courses

Python for Data Science courses can help you learn data manipulation, statistical analysis, data visualization, and machine learning basics. You can build skills in working with data sets, performing exploratory data analysis, and developing predictive models. Many courses introduce tools like Pandas for data manipulation, Matplotlib and Seaborn for visualization, and Scikit-learn for machine learning, allowing you to apply your skills in practical projects and real-world data challenges.

Popular Python for Data Science Courses and Certifications


  • Status: Free Trial
    Free Trial
    G

    Google

    Foundations of User Experience (UX) Design

    Skills you'll gain: User Experience, UI/UX Research, User Experience Design, User Research, Design Thinking, Usability, User Centered Design, Prototyping, Sprint Retrospectives, Wireframing, Ideation, Sprint Planning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    76K reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Data Science Challenge

    Skills you'll gain: Applied Machine Learning, Jupyter, Machine Learning Algorithms, Model Evaluation, Machine Learning, Model Training, Predictive Modeling, Data Science, Python Programming, Predictive Analytics, Data Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    222 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Virginia

    Design Thinking for Innovation

    Skills you'll gain: Design Thinking, Creative Problem-Solving, Ideation, Innovation, Creativity, Strategic Thinking, Thought Leadership, Case Studies, Human Centered Design, Open Mindset, Experimentation, Storytelling

    4.7
    Rating, 4.7 out of 5 stars
    ·
    9.2K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    Codio

    Data Science and Analysis Tools - from Jupyter to R Markdown

    Skills you'll gain: Rmarkdown, Plot (Graphics), Box Plots, Descriptive Statistics, Scatter Plots, Histogram, Scientific Visualization, Jupyter, Matplotlib, Statistical Visualization, Data Manipulation, R (Software), Statistical Hypothesis Testing, Regression Analysis, Correlation Analysis, Data Visualization, Statistical Methods, Data Analysis, R Programming, Python Programming

    3.9
    Rating, 3.9 out of 5 stars
    ·
    25 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Python, SQL, Tableau for Data Science

    Skills you'll gain: Data Storytelling, Data Presentation, SQL, Data Visualization Software, Database Design, AWS SageMaker, Unsupervised Learning, Data Visualization, Interactive Data Visualization, Dashboard, Feature Engineering, Database Management, Exploratory Data Analysis, A/B Testing, Tableau Software, Pandas (Python Package), Matplotlib, Python Programming, Data Analysis, Machine Learning

    3.7
    Rating, 3.7 out of 5 stars
    ·
    30 reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Introduction to Generative AI

    Skills you'll gain: Generative AI, Generative Model Architectures, Prompt Engineering, AI literacy, Google Cloud Platform, Large Language Modeling, Artificial Intelligence, Deep Learning, Statistical Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    12K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    T

    The University of Edinburgh

    Philosophy and the Sciences: Introduction to the Philosophy of Cognitive Sciences

    Skills you'll gain: Artificial Intelligence, Psychology, Human Development, Scientific Methods, Research

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.5K reviews

    Mixed · Course · 1 - 3 Months

  • U

    University of Illinois Urbana-Champaign

    Introduction to Sustainability

    Skills you'll gain: Environmental Policy, Sustainable Development, Environment, Water Resources, Environmental Issue, Demography, Energy and Utilities, Environmental Science, Environment and Resource Management, Sustainability Standards, Water Resource Management, Policy Analysis, Natural Resource Management, Social Sciences, Human Development, Climate Change Adaptation, Climate Change Mitigation, Economics

    4.8
    Rating, 4.8 out of 5 stars
    ·
    2.7K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI for Data Scientists

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Exploratory Data Analysis, Generative Model Architectures, Generative Adversarial Networks (GANs), Data Ethics, Feature Engineering, AI literacy, Predictive Modeling, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Data Science, Data Synthesis, Data Analysis, Data Visualization Software, Augmented and Virtual Reality (AR/VR), Model Evaluation, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    12K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Preview
    Preview
    T

    The University of North Carolina at Chapel Hill

    Epidemiology: The Basic Science of Public Health

    Skills you'll gain: Epidemiology, Public Health and Disease Prevention, Public Health, Infectious Diseases, Research Design, Community Health, Health Policy, Research Methodologies, Biostatistics, Science and Research, Correlation Analysis, Clinical Trials, Statistical Analysis, Chronic Diseases, Risk Analysis

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

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Introduction to AI

    Skills you'll gain: Generative AI, AI Enablement, Artificial Intelligence and Machine Learning (AI/ML), AI literacy, Model Training, Machine Learning, Innovation, Critical Thinking

    4.8
    Rating, 4.8 out of 5 stars
    ·
    13K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Artificial Intelligence (AI)

    Skills you'll gain: Responsible AI, Machine Learning Methods, Generative AI Agents, Generative AI, Prompt Patterns, Generative Model Architectures, Prompt Engineering Tools, AI literacy, Risking, Retrieval-Augmented Generation, LLM Application, Agentic systems, Machine Learning Algorithms, Natural Language Processing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    23K reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Foundations of User Experience (UX) Design: Google
  • Data Science Challenge: Coursera
  • Design Thinking for Innovation: University of Virginia
  • Data Science and Analysis Tools - from Jupyter to R Markdown: Codio
  • Python, SQL, Tableau for Data Science: Coursera
  • Introduction to Generative AI: Google Cloud
  • Philosophy and the Sciences: Introduction to the Philosophy of Cognitive Sciences: The University of Edinburgh
  • Introduction to Sustainability: University of Illinois Urbana-Champaign
  • Generative AI for Data Scientists: IBM
  • Epidemiology: The Basic Science of Public Health: The University of North Carolina at Chapel Hill

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