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    Data Science Courses

    Build essential skills in data visualization, statistical analysis, and machine learning. Discover courses that provide practical tools to analyze complex datasets and make data-driven decisions.

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    Find the best Data Science course for your goals

    • Status: Free Trial
      Free Trial
      U

      University of California, Irvine

      Data Science Fundamentals

      Skills you'll gain: Analytical Skills, Data Ethics, Predictive Modeling, Unsupervised Learning, Natural Language Processing, Predictive Analytics, Data Analysis, Classification And Regression Tree (CART), Regression Analysis, Data Mining, Data Strategy, Statistical Analysis, Data Science, Social Media, Text Mining, Anomaly Detection, Business Analytics, Decision Tree Learning, Statistical Modeling, Cloud Computing

      4.3
      Rating, 4.3 out of 5 stars
      ·
      255 reviews

      Beginner · Specialization · 3 - 6 Months

    • 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

    • Status: Free
      Free
      C

      Coursera Project Network

      Data Science Coding Challenge: Loan Default Prediction

      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
      ·
      102 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      Status: AI skills
      AI skills
      I

      IBM

      IBM Data Engineering

      Skills you'll gain: NoSQL, Data Warehousing, Apache Hadoop, Extract, Transform, Load, Apache Airflow, Web Scraping, Linux Commands, Database Design, SQL, IBM Cognos Analytics, MySQL, Apache Spark, Database Administration, Data Store, Generative AI, Professional Networking, Data Import/Export, Python Programming, Data Analysis, Data Science

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      60K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado System

      Clinical Data Science

      Skills you'll gain: Tidyverse (R Package), Clinical Data Management, Extract, Transform, Load, Data Modeling, Health Insurance Portability And Accountability Act (HIPAA) Compliance, Medical Privacy, Data Manipulation, Predictive Modeling, Database Design, Clinical Informatics, Google Cloud Platform, Intensive Care Unit, Data Ethics, Data Quality, Risk Modeling, Natural Language Processing, Bioinformatics, Informatics, Text Mining, R Programming

      4.5
      Rating, 4.5 out of 5 stars
      ·
      481 reviews

      Intermediate · 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 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
      ·
      445 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Preview
      Preview
      S

      Stanford University

      Introduction to Statistics

      Skills you'll gain: Descriptive Statistics, Statistics, Statistical Methods, Sampling (Statistics), Statistical Analysis, Data Analysis, Statistical Modeling, Statistical Hypothesis Testing, Regression Analysis, Statistical Inference, Probability, Exploratory Data Analysis, Quantitative Research, Probability Distribution

      4.6
      Rating, 4.6 out of 5 stars
      ·
      4.2K reviews

      Beginner · Course · 1 - 3 Months

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

      Pearson

      Data Science Fundamentals Part 1: Unit 2

      Skills you'll gain: Extract, Transform, Load, Data Transformation, Data Integration, Web Scraping, Data Pipelines, JSON, Object Oriented Programming (OOP), Extensible Markup Language (XML), Data Modeling, Application Programming Interface (API), Relational Databases

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Linear Algebra for Machine Learning and Data Science

      Skills you'll gain: Linear Algebra, NumPy, Dimensionality Reduction, Machine Learning Methods, Jupyter, Data Manipulation, Data Science, Applied Mathematics, Machine Learning, Python Programming, Image Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.1K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Data Science: Statistics and Machine Learning

      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: Preview
      Preview
      C

      Coursera Instructor Network

      Data Science for Professionals

      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

      4.6
      Rating, 4.6 out of 5 stars
      ·
      18 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Data Science Foundations: Statistical Inference

      Skills you'll gain: Probability, Statistical Inference, Statistical Hypothesis Testing, Statistical Methods, Probability & Statistics, Statistics, Probability Distribution, Data Literacy, Statistical Analysis, Sampling (Statistics), Bayesian Statistics, Data Ethics, Applied Mathematics, Data Science, Theoretical Computer Science, Data Analysis, Quantitative Research, Descriptive Statistics, Artificial Intelligence

      Build toward a degree

      4.4
      Rating, 4.4 out of 5 stars
      ·
      326 reviews

      Intermediate · Specialization · 3 - 6 Months

    Data Science learners also search

    applied data science
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    1…456…834

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

    • Data Science Fundamentals: University of California, Irvine
    • Mathematics for Machine Learning: Imperial College London
    • Data Science Coding Challenge: Loan Default Prediction: Coursera Project Network
    • IBM Data Engineering: IBM
    • Clinical Data Science: University of Colorado System
    • Statistics for Data Science with Python: IBM
    • Introduction to Statistics: Stanford University
    • Data Science Fundamentals Part 1: Unit 2: Pearson
    • Linear Algebra for Machine Learning and Data Science: DeepLearning.AI
    • Data Science: Statistics and Machine Learning: Johns Hopkins University

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