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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.


More to explore:

Popular Python for Data Science Courses and Certifications


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    Starweaver

    GenAI Foundations for Professionals

    Skills you'll gain: Prompt Engineering, Responsible AI, ChatGPT, Generative AI, Large Language Modeling, Data Ethics, AI Workflows, Artificial Intelligence, AI Personalization, Workforce Development, Verification And Validation, Decision Making, Business

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    NLP: Fine-Tune & Preprocess Text

    Skills you'll gain: Natural Language Processing, Data Wrangling, Data Pipelines

    Intermediate · Course · 1 - 4 Weeks

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    Johns Hopkins University

    Regression Models

    Skills you'll gain: Regression Analysis, Statistical Analysis, Statistical Modeling, Logistic Regression, Data Analysis, Model Evaluation, Probability & Statistics, Statistical Inference

    4.4
    Rating, 4.4 out of 5 stars
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    3.4K reviews

    Mixed · Course · 1 - 4 Weeks

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    Michigan State University

    Photography Basics and Beyond: From Smartphone to DSLR

    Skills you'll gain: Design Elements And Principles, Photography, Photo Editing, Peer Review, Creative Design, Graphic and Visual Design, Photo/Video Production and Technology, Image Quality, File Management, Creativity, Storytelling, Digital Publishing, Social Media, Content Creation, Copywriting, Information Privacy, Writing, Web Design and Development

    4.7
    Rating, 4.7 out of 5 stars
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    6.7K reviews

    Beginner · Specialization · 3 - 6 Months

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    Duke University

    Inferential Statistics

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Statistical Reporting, R (Software), Statistical Methods, Statistics, R Programming, Statistical Analysis, Probability & Statistics, Data Analysis, Sampling (Statistics), Probability Distribution, Software Installation

    4.8
    Rating, 4.8 out of 5 stars
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    2.8K reviews

    Beginner · Course · 1 - 3 Months

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    EDUCBA

    Build Interactive Data Apps with R Shiny Fundamentals

    Skills you'll gain: Shiny (R Package), Interactive Data Visualization, Data Visualization, R (Software), Dashboard, User Interface (UI), Data Visualization Software, UI Components, Data Integration, Server Side, Web Applications, Application Design

    Beginner · Course · 1 - 4 Weeks

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    EDUCBA

    Mastering Categorical Data Analysis with SAS

    Skills you'll gain: Logistic Regression, SAS (Software), Predictive Analytics, Advanced Analytics, Model Evaluation, Data Analysis, Statistical Analysis, Regression Analysis, Statistical Modeling, Exploratory Data Analysis, Correlation Analysis, Statistical Methods, Small Data, Statistical Hypothesis Testing, Probability & Statistics, Descriptive Statistics

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Engineer Features and Evaluate Models for Production

    Skills you'll gain: MLOps (Machine Learning Operations), Feature Engineering, Model Evaluation, Data Preprocessing, Performance Analysis, Performance Tuning, Predictive Modeling, Data Pipelines, Data Transformation

    Intermediate · Course · 1 - 4 Weeks

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    University of California, Irvine

    The Raspberry Pi Platform and Python Programming for the Raspberry Pi

    Skills you'll gain: Linux, Operating System Administration, Operating Systems, Integrated Development Environments, File Systems, Internet Of Things, Development Environment, Embedded Systems, Python Programming, OS Process Management, Computer Hardware, UI Components, Computer Programming

    4.7
    Rating, 4.7 out of 5 stars
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    2.8K reviews

    Mixed · Course · 1 - 4 Weeks

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    Coursera

    Agentic AI Content for Practitioners: Marketing

    Skills you'll gain: Prompt Engineering, Marketing Automation, AI Personalization, Marketing Effectiveness, Marketing, Content Marketing, Marketing Strategies, MarTech, Advertising Campaigns, Agentic Workflows, AI Enablement, Marketing Analytics, Customer Relationship Management, Data-Driven Decision-Making, Social Media Management, Customer experience improvement

    Intermediate · Course · 1 - 4 Weeks

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    Hebrew University of Jerusalem

    Build a Modern Computer from First Principles: From Nand to Tetris (Project-Centered Course)

    Skills you'll gain: Computer Architecture, Computer Hardware, Computer Engineering, Computer Science, Computational Logic, Programming Principles, Computer Programming, System Design and Implementation, Program Development, Data Storage

    4.9
    Rating, 4.9 out of 5 stars
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    3.7K reviews

    Mixed · Course · 1 - 3 Months

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    Erasmus University Rotterdam

    Econometrics: Methods and Applications

    Skills you'll gain: Econometrics, Time Series Analysis and Forecasting, Regression Analysis, Logistic Regression, Data Analysis, Analytics, Statistical Analysis, Statistics, Case Studies, Forecasting, Model Evaluation, Probability, Linear Algebra, Peer Review

    4.6
    Rating, 4.6 out of 5 stars
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    1.2K reviews

    Mixed · Course · 1 - 3 Months

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

  • GenAI Foundations for Professionals: Starweaver
  • NLP: Fine-Tune & Preprocess Text: Coursera
  • Regression Models: Johns Hopkins University
  • Photography Basics and Beyond: From Smartphone to DSLR: Michigan State University
  • Inferential Statistics: Duke University
  • Build Interactive Data Apps with R Shiny Fundamentals: EDUCBA
  • Mastering Categorical Data Analysis with SAS: EDUCBA
  • Engineer Features and Evaluate Models for Production: Coursera
  • The Raspberry Pi Platform and Python Programming for the Raspberry Pi: University of California, Irvine
  • Agentic AI Content for Practitioners: Marketing: Coursera

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