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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.


More to explore:

Popular Statistics For Data Science Courses and Certifications


  • C

    Coursera

    Python NLTK for Beginners: Customer Satisfaction Analysis

    Skills you'll gain: Text Mining, Unstructured Data, Data Analysis, Natural Language Processing, Pandas (Python Package), Data Manipulation, Data Preprocessing, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Input and Interaction

    Skills you'll gain: Human Computer Interaction, Human Factors, User Interface (UI), Usability, Interaction Design, Information Architecture, User Interface and User Experience (UI/UX) Design, Prototyping

    4.6
    Rating, 4.6 out of 5 stars
    ·
    720 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    F

    Fred Hutchinson Cancer Center

    Researcher's guide to omic fundamentals

    Skills you'll gain: Bioinformatics, Molecular Biology, Data Processing, Data Analysis, Data Literacy, Exploratory Data Analysis, Metadata Management, R Programming, Scientific Methods, Data Quality

    3.9
    Rating, 3.9 out of 5 stars
    ·
    17 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    CertNexus

    Build Decision Trees, SVMs, and Artificial Neural Networks

    Skills you'll gain: Convolutional Neural Networks, Random Forest Algorithm, Recurrent Neural Networks (RNNs), Decision Tree Learning, Deep Learning, Applied Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Predictive Modeling, Supervised Learning, Computer Vision, Classification Algorithms, Natural Language Processing

    4.9
    Rating, 4.9 out of 5 stars
    ·
    14 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Classification Analysis

    Skills you'll gain: Classification Algorithms, Data Analysis, Model Evaluation, Logistic Regression, Supervised Learning, Machine Learning Algorithms, Predictive Modeling, Feature Engineering, Data Preprocessing, Bayesian Statistics, Probability & Statistics

    5
    Rating, 5 out of 5 stars
    ·
    7 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Glasgow

    Applied AI for Engineers and Scientists: Foundations

    Skills you'll gain: Data Preprocessing, Model Evaluation, Engineering Practices, Matlab, Engineering Calculations, Classification Algorithms, Engineering Analysis, Engineering, Artificial Intelligence and Machine Learning (AI/ML), AI Enablement, Applied Mathematics, Artificial Neural Networks

    5
    Rating, 5 out of 5 stars
    ·
    135 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    R

    Rutgers the State University of New Jersey

    Business Intelligence and Competitive Analysis

    Skills you'll gain: Competitive Intelligence, Competitive Analysis, Data Storytelling, Business Intelligence, Business Analytics, Data Analysis, Management Consulting, Business Strategy, Strategic Thinking, Market Analysis, Business Analysis, Performance Analysis, Benchmarking, Key Performance Indicators (KPIs), Root Cause Analysis, Risk Analysis, Financial Analysis

    4.4
    Rating, 4.4 out of 5 stars
    ·
    242 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Maryland, College Park

    Innovation for Entrepreneurs: From Idea to Marketplace

    Skills you'll gain: Commercialization, Product Planning, Innovation, New Product Development, Product Development, Team Building, Product Strategy, Entrepreneurship, Design Thinking, Product Testing, Customer Insights, Business Strategies, Team Motivation, Market Opportunities, User Research, Market Research, Team Management, Business Modeling, Technology Strategies, Value Propositions

    4.6
    Rating, 4.6 out of 5 stars
    ·
    698 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    Universidad Austral

    Estrategias de Redes Sociales

    Skills you'll gain: Social Media, Social Media Strategy, Social Media Marketing, Social Media Campaigns, LinkedIn, Facebook, Content Strategy, Professional Networking, Instagram, Content Creation, Key Performance Indicators (KPIs), Marketing Strategy and Techniques, Digital Advertising, Marketing, Digital Marketing, Budget Management, Lead Generation, Photography, Target Audience

    4.6
    Rating, 4.6 out of 5 stars
    ·
    886 reviews

    Beginner · Course · 1 - 4 Weeks

  • U

    Universitat Autònoma de Barcelona

    Competencias digitales de ofimática: Microsoft Access

    Skills you'll gain: Microsoft Access, Relational Databases, Data Entry, Databases, Database Design, Microsoft Office, Query Languages, Data Management, Data Validation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.3K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Corporate Finance II: Financing Investments and Managing Risk

    Skills you'll gain: Credit Risk, Corporate Finance, Mergers & Acquisitions, Risk Management, Financial Management, Business Risk Management, Derivatives, Private Equity, Equities, Financial Analysis, Cash Flows, Capital Budgeting, Governance, Loans, Return On Investment

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
    ·
    884 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    Illinois Tech

    Introduction to Relational Databases

    Skills you'll gain: Database Systems, Relational Databases, Database Management, Database Theory, Databases, SQL, Database Design, Database Management Systems, Database Architecture and Administration, Data Access, Query Languages, Data Modeling, Data Manipulation, User Accounts

    Build toward a degree

    4.5
    Rating, 4.5 out of 5 stars
    ·
    33 reviews

    Beginner · Course · 1 - 4 Weeks

1…375376377…834

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

  • Python NLTK for Beginners: Customer Satisfaction Analysis: Coursera
  • Input and Interaction: University of California San Diego
  • Researcher's guide to omic fundamentals: Fred Hutchinson Cancer Center
  • Build Decision Trees, SVMs, and Artificial Neural Networks: CertNexus
  • Classification Analysis: University of Colorado Boulder
  • Applied AI for Engineers and Scientists: Foundations: University of Glasgow
  • Business Intelligence and Competitive Analysis: Rutgers the State University of New Jersey
  • Innovation for Entrepreneurs: From Idea to Marketplace: University of Maryland, College Park
  • Estrategias de Redes Sociales: Universidad Austral
  • Competencias digitales de ofimática: Microsoft Access: Universitat Autònoma de Barcelona

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