Data Science

Data Science is a multidisciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data. Coursera's Data Science catalogue equips you with essential techniques and tools used for statistical analysis, machine learning, data visualization, and predictive modeling. You'll learn how to manage, analyze, and interpret complex data, develop algorithms to solve data problems, and utilize Python and R programming languages. By mastering these skills, you can become a vital asset in any industry, helping organizations make data-driven decisions.
106credentials
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Find the best Data Science course for your goals

  • Status: Preview

    Coursera

    Skills you'll gain: Predictive Modeling, Data Visualization, Statistical Analysis, Data Manipulation, Data Analysis, Data Science, Pandas (Python Package), Data Visualization Software, Statistics, Data Wrangling, Data Cleansing, Data Processing, Data-Driven Decision-Making, Business Analytics, Exploratory Data Analysis, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    20 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial

    Imperial College London

    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

  • Status: New
    Status: Free Trial

    University of Michigan

    Skills you'll gain: Unsupervised Learning, Data Mining, Social Network Analysis, ChatGPT, Data Processing, Anomaly Detection, Machine Learning Methods, Data Science, Supervised Learning, Machine Learning, Data Analysis, Data Manipulation, Python Programming, Exploratory Data Analysis, Machine Learning Algorithms, Jupyter, Probability Distribution

    4.7
    Rating, 4.7 out of 5 stars
    6 reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free

    Coursera

    Skills you'll gain: Applied Machine Learning, Jupyter, Data Processing, Predictive Modeling, Machine Learning, Predictive Analytics, Data Manipulation, Data Science, Data Analysis, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    106 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial

    IBM

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

    4.5
    Rating, 4.5 out of 5 stars
    448 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial

    DeepLearning.AI

    Skills you'll gain: Linear Algebra, NumPy, Dimensionality Reduction, Machine Learning Methods, Data Transformation, Data Manipulation, Data Science, Applied Mathematics, Mathematical Modeling, Machine Learning, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    2.2K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial

    Johns Hopkins University

    Skills you'll gain: Rmarkdown, Exploratory Data Analysis, Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Data Wrangling, Plot (Graphics), Statistical Programming, Statistical Visualization, Ggplot2, R (Software), Dimensionality Reduction, Data Visualization Software, Knitr, Data Sharing, GitHub, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    48K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    Status: Free Trial

    Pearson

    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

    Johns Hopkins University

    Skills you'll gain: Shiny (R Package), Rmarkdown, Regression Analysis, Exploratory Data Analysis, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Machine Learning Algorithms, Plotly, Interactive Data Visualization, Probability & Statistics, Data Presentation, Data Visualization, Feature Engineering, Statistical Analysis, Statistical Modeling, R Programming, Data Science, Machine Learning, GitHub

    4.4
    Rating, 4.4 out of 5 stars
    7.2K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial

    Duke University

    Skills you'll gain: Matplotlib, Pandas (Python Package), NumPy, Data Visualization, Data Cleansing, Data Structures, Scientific Visualization, Data Visualization Software, Predictive Analytics, Debugging, Data Manipulation, Object Oriented Programming (OOP), Regression Analysis, Python Programming, Data Science, Algorithms, Simulations, Microsoft Visual Studio, Predictive Modeling, Data Analysis

    3.9
    Rating, 3.9 out of 5 stars
    86 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial

    IBM

    Skills you'll gain: Excel Formulas, Microsoft Excel, Data Cleansing, Data Analysis, Data Import/Export, Spreadsheet Software, Data Wrangling, Data Quality, Pivot Tables And Charts, Google Sheets, Data Manipulation, Data Science, Data Integrity, Information Privacy

    4.7
    Rating, 4.7 out of 5 stars
    10K reviews

    Beginner · Course · 1 - 3 Months

  • Coursera

    Skills you'll gain: Correlation Analysis, Probability & Statistics, Statistics, Statistical Analysis, Data Analysis, Data Science, Probability Distribution, Descriptive Statistics, Statistical Inference

    4.1
    Rating, 4.1 out of 5 stars
    38 reviews

    Beginner · Guided Project · Less Than 2 Hours