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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 Trial
    Free Trial
    Status: AI skills
    AI skills
    G

    Google

    Google Prompting Essentials

    Skills you'll gain: Data Visualization, Generative AI, Oral Expression, Large Language Modeling, Ideation, Artificial Intelligence, Scenario Testing, Business Correspondence, Productivity, Complex Problem Solving, Report Writing, Organizational Skills, Solution Design, Document Management, Critical Thinking, Software Versioning, Context Management, Machine Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    6.9K reviews

    Beginner · Specialization · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Statistical Methods for Computer Science

    Skills you'll gain: Network Analysis, R Programming, Statistical Analysis, Regression Analysis, Statistical Modeling, Bayesian Network, Statistical Hypothesis Testing, Statistical Programming, Data Analysis, R (Software), Probability, Probability Distribution, Applied Machine Learning, Probability & Statistics, Statistical Methods, Social Network Analysis, Applied Mathematics, Simulations, Data Science, Markov Model

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    P

    Pearson

    Data Science Fundamentals, Part 1

    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

    4
    Rating, 4 out of 5 stars
    ·
    6 reviews

    Beginner · Specialization · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI for Data Engineers

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Generative Model Architectures, Database Design, Data Pipelines, Query Languages, Extract, Transform, Load, Snowflake Schema, Star Schema, Responsible AI, Data Warehousing, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), AI Workflows, Deep Learning, Augmented and Virtual Reality (AR/VR), Machine Learning, Context Management

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    N
    G
    N
    G

    Multiple educators

    Machine Learning for Trading

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Machine Learning Methods, Model Evaluation, Machine Learning, Google Cloud Platform, Machine Learning Algorithms, Applied Machine Learning, Financial Trading, Reinforcement Learning, Recurrent Neural Networks (RNNs), Supervised Learning, Data Pipelines, Time Series Analysis and Forecasting, Statistical Machine Learning, Technical Analysis, Deep Learning, Securities Trading, Portfolio Management, Artificial Intelligence and Machine Learning (AI/ML)

    3.8
    Rating, 3.8 out of 5 stars
    ·
    1.2K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Meta

    Meta Full Stack Developer: Front-End & Back-End from Scratch

    Skills you'll gain: Jest (JavaScript Testing Framework), Django (Web Framework), Version Control, Restful API, Responsive Web Design, Cascading Style Sheets (CSS), Unix Commands, HTML and CSS, Git (Version Control System), API Testing, GitHub, Relational Databases, Database Management Systems, Bootstrap (Front-End Framework), React.js, Mobile Development, SQL, Database Design, API Design, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    25K reviews

    Beginner · Specialization · 3 - 6 Months

  • G

    Google Cloud

    BigQuery for Data Analysts

    Skills you'll gain: Looker (Software), Big Data, SQL, Data Pipelines, Data Transformation, Extract, Transform, Load, Data Warehousing, Data Cleansing, Data Analysis, Data Visualization Software, Google Sheets, Google Cloud Platform, Data Import/Export

    4.4
    Rating, 4.4 out of 5 stars
    ·
    79 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Project Initiation: Starting a Successful Project

    Skills you'll gain: Scope Management, Project Scoping, Stakeholder Analysis, Project Management Life Cycle, Project Documentation, Goal Setting, Project Management, Stakeholder Management, Cost Benefit Analysis, Project Management Software, AI Product Strategy, Resource Management, Strategic Thinking, Business Writing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    24K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google

    System Administration and IT Infrastructure Services

    Skills you'll gain: Systems Administration, IT Infrastructure, Lightweight Directory Access Protocols, Cloud Management, Operating System Administration, Active Directory, Server Administration, Disaster Recovery, Linux Administration, Technical Consulting, Windows Servers, Cloud Computing, Network Administration, Data Storage

    4.8
    Rating, 4.8 out of 5 stars
    ·
    26K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Introduction to HTML5

    4.7
    Rating, 4.7 out of 5 stars
    ·
    28K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Meta

    Meta Front-End Developer

    Skills you'll gain: User Research, Cascading Style Sheets (CSS), User Experience Design, User Experience, Design Research, Linux Commands, Usability, Debugging, User Interface (UI), Software Versioning, Software Visualization, Web Content Accessibility Guidelines, Pseudocode, JavaScript Frameworks, User Interface and User Experience (UI/UX) Design, Javascript, Web Applications, Event-Driven Programming, Unit Testing, Application Programming Interface (API)

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    24K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free
    Free
    U

    Utrecht University

    Inequality and Democracy

    Skills you'll gain: Lobbying, Political Sciences, Socioeconomics, Tax Laws, Social Sciences, Economics, Commercial Laws, Policy Analysis, Governance

    4.7
    Rating, 4.7 out of 5 stars
    ·
    61 reviews

    Beginner · Course · 1 - 3 Months

1…313233…834

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

  • Google Prompting Essentials: Google
  • Statistical Methods for Computer Science: Johns Hopkins University
  • Data Science Fundamentals, Part 1: Pearson
  • Generative AI for Data Engineers: IBM
  • Machine Learning for Trading: New York Institute of Finance
  • Meta Full Stack Developer: Front-End & Back-End from Scratch: Meta
  • BigQuery for Data Analysts: Google Cloud
  • Project Initiation: Starting a Successful Project: Google
  • System Administration and IT Infrastructure Services: Google
  • Introduction to HTML5: University of Michigan

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