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  • Statistics For Data Science

Statistics For Data Science Courses

Statistics for Data Science courses can help you learn data visualization, hypothesis testing, regression analysis, and probability theory. You can build skills in interpreting data trends, making predictions, and conducting A/B testing. Many courses introduce tools like R, Python, and SQL, that support analyzing datasets and implementing statistical models. By engaging with these tools, you can effectively apply statistical methods to real-world data challenges, enhancing your ability to draw meaningful insights.

Popular Statistics For Data Science Courses and Certifications


  • Status: Free
    Free
    P

    Princeton University

    Computer Science: Programming with a Purpose

    Skills you'll gain: Programming Principles, Computer Programming, Object Oriented Design, Object Oriented Programming (OOP), Performance Tuning, Data Structures, Code Reusability, Other Programming Languages, Java Programming, Java, Program Development, Computational Thinking, Computer Science, Algorithms, Theoretical Computer Science, Animations

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.4K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Everyday Excel, Part 1

    Skills you'll gain: Data Visualization, Excel Formulas, Plot (Graphics), Microsoft Excel, Data Management, Data Cleansing, Spreadsheet Software, Data Entry, Data Sharing, Data Import/Export, Data Validation, Microsoft Office, Data Analysis Software, Data Integrity, Problem Solving

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.7K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of Pennsylvania

    Computational Thinking for Problem Solving

    Skills you'll gain: Computational Thinking, Algorithms, Programming Principles, Program Development, Pseudocode, Problem Solving, Analytical Skills, Python Programming, Computer Systems, Data Structures, Computer Hardware, Computer Programming, Object Oriented Programming (OOP), Analysis, Computer Architecture, Debugging

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.4K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of London

    Mathematics for Computer Science

    Skills you'll gain: Arithmetic, Applied Mathematics, Computer Science, General Mathematics, Numerical Analysis, Mathematical Modeling, Algebra, Cryptography, Logical Reasoning, Geometry, Deductive Reasoning

    4.2
    Rating, 4.2 out of 5 stars
    ·
    281 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free
    Free
    C

    Coursera

    Getting Started in Google Analytics

    Skills you'll gain: Google Analytics, Web Analytics and SEO, Statistical Reporting, Data-Driven Marketing, Analytics, Data Analysis, User Accounts

    4.4
    Rating, 4.4 out of 5 stars
    ·
    1.5K reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI: Introduction and Applications

    Skills you'll gain: Generative AI, ChatGPT, AI literacy, Artificial Intelligence and Machine Learning (AI/ML), Augmented and Virtual Reality (AR/VR), Machine Learning, Data Synthesis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    4.4K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Pearson

    Data Science Fundamentals Part 1: Unit 1

    Skills you'll gain: Applied Machine Learning, Data Science, Python Programming, Scikit Learn (Machine Learning Library), NumPy, Computational Thinking, Machine Learning Algorithms, Pandas (Python Package), Data Analysis, AI Personalization, Programming Principles, Data Manipulation

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    AI for Medicine

    Skills you'll gain: Model Evaluation, Patient Evaluation, Deep Learning, Statistical Analysis, Clinical Trials, Feature Engineering, Data Preprocessing, Classification And Regression Tree (CART), Risk Modeling, Statistical Methods, Treatment Planning, Data Analysis, Diagnostic Tests, Precision Medicine, Convolutional Neural Networks, Decision Tree Learning, Predictive Modeling, Image Analysis, Statistical Machine Learning, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.5K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Meta

    Introduction to Data Management

    Skills you'll gain: Data Management, Data Presentation, Data Storytelling, Data Collection, Data Governance, Data Analysis, Information Privacy, Data Quality, Data Storage, Data Storage Technologies, Data Security, Exploratory Data Analysis, Data-Driven Decision-Making, Data Architecture, Data Visualization Software, Big Data, Machine Learning Methods, Machine Learning, Encryption

    4.8
    Rating, 4.8 out of 5 stars
    ·
    126 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Meta

    Meta Database Engineer

    Skills you'll gain: MySQL, Database Software, Database Management, Database Theory, Data Warehousing, Interactive Data Visualization, Dashboard, Database Administration, Data Visualization Software, Star Schema, Dashboard Creation, Linux Commands, Unix, Data Integrity, Unit Testing, Algorithms, Analytics, Database Architecture and Administration, Software Versioning, Command-Line Interface

    4.6
    Rating, 4.6 out of 5 stars
    ·
    7.7K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Data Analysis with R

    Skills you'll gain: Exploratory Data Analysis, Data Wrangling, Statistical Analysis, Data Analysis, Model Evaluation, Data Transformation, R Programming, Data Visualization, Regression Analysis, Predictive Modeling, Statistical Methods, R (Software), Data Manipulation, Plot (Graphics), Data Science, Box Plots, Statistical Visualization, Correlation Analysis, Model Training, Tidyverse (R Package)

    4.7
    Rating, 4.7 out of 5 stars
    ·
    373 reviews

    Intermediate · Course · 1 - 3 Months

  • 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, Liberal Arts, Psychology, Human Learning, Human Development, Scientific Methods, Research

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

    Mixed · Course · 1 - 3 Months

1…202122…834

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

  • Computer Science: Programming with a Purpose: Princeton University
  • Everyday Excel, Part 1: University of Colorado Boulder
  • Computational Thinking for Problem Solving: University of Pennsylvania
  • Mathematics for Computer Science: University of London
  • Getting Started in Google Analytics: Coursera
  • Generative AI: Introduction and Applications: IBM
  • Data Science Fundamentals Part 1: Unit 1: Pearson
  • AI for Medicine: DeepLearning.AI
  • Introduction to Data Management: Meta
  • Meta Database Engineer: Meta

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