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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
    I

    IBM

    IBM Full Stack Software Developer

    Skills you'll gain: Prompt Engineering, Software Development Life Cycle, Cloud-Native Computing, Istio, Software Architecture, Kubernetes, CI/CD, Cloud Computing Architecture, Application Deployment, React Redux, Node.JS, Responsive Web Design, Restful API, Django (Web Framework), Git (Version Control System), Web Design and Development, Server Side, Cloud Computing, Data Import/Export, Engineering Software

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    59K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Hardware Description Languages for FPGA Design

    Skills you'll gain: Verification And Validation, System Design and Implementation, Technical Design, Computational Logic, Embedded Systems, Hardware Architecture, Simulations, Functional Testing, Debugging

    4.4
    Rating, 4.4 out of 5 stars
    ·
    620 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Mathematics for Machine Learning: PCA

    Skills you'll gain: Dimensionality Reduction, NumPy, Probability & Statistics, Jupyter, Data Science, Statistics, Linear Algebra, Python Programming, Machine Learning, Calculus

    4
    Rating, 4 out of 5 stars
    ·
    3.2K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    S

    SAS

    Generative AI Using SAS

    Skills you'll gain: Generative AI, Large Language Modeling, Responsible AI, Data Synthesis, Artificial Intelligence and Machine Learning (AI/ML), SAS (Software), Applied Machine Learning, Deep Learning, Text Mining, Natural Language Processing

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Accomplishment STAR Techniques for Job Interviews

    Skills you'll gain: Interviewing Skills, Storytelling, Problem Solving, Professional Development, Initiative and Leadership, Concision, Verbal Communication Skills, Teamwork, Job Analysis, Communication, Business Writing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    415 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: New
    New
    Status: Preview
    Preview
    E

    EDUCBA

    Predictive Analytics with SPSS: Analyze & Apply

    Skills you'll gain: SPSS, Correlation Analysis, SPSS (Software), Regression Analysis, Predictive Modeling, Predictive Analytics, Statistics, Descriptive Statistics, Statistical Methods, Statistical Modeling, Case Studies, Statistical Analysis, Data Import/Export, Data Manipulation, Analysis

    5
    Rating, 5 out of 5 stars
    ·
    6 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Business Intelligence (BI) Analyst

    Skills you'll gain: Data Storytelling, Dashboard, Data Presentation, Data Visualization, Database Design, MySQL, Presentations, Descriptive Statistics, Extract, Transform, Load, Business Intelligence, Data Visualization Software, IBM DB2, Tableau Software, Relational Databases, Star Schema, IBM Cognos Analytics, Interactive Data Visualization, Microsoft SQL Servers, Regression Analysis, Excel Formulas

    4.7
    Rating, 4.7 out of 5 stars
    ·
    15K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    V

    Vanderbilt University

    Introduction to Programming with MATLAB

    Skills you'll gain: Matlab, Computer Programming, Programming Principles, Debugging, Mathematical Software, Development Environment, Computer Science, User Interface (UI), File Management, Data Import/Export, Data Structures, Computational Logic, Engineering Calculations, Plot (Graphics), Problem Solving

    4.8
    Rating, 4.8 out of 5 stars
    ·
    18K reviews

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Create Your First Python Program From UST

    Skills you'll gain: Python Programming, Command-Line Interface, Programming Principles, Computer Programming, Scripting, Scripting Languages, Development Environment

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3K reviews

    Beginner · Guided Project · Less Than 2 Hours

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

    IBM

    IBM Deep Learning with PyTorch, Keras and Tensorflow

    Skills you'll gain: PyTorch (Machine Learning Library), Keras (Neural Network Library), Deep Learning, Reinforcement Learning, Unsupervised Learning, Artificial Neural Networks, Machine Learning Methods, Generative AI, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Image Analysis, Computer Vision, Statistical Modeling, Artificial Intelligence, Geospatial Information and Technology, Machine Learning, Regression Analysis, Data Pipelines, Network Architecture, Network Model

    4.5
    Rating, 4.5 out of 5 stars
    ·
    4.1K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Introduction to Machine Learning

    Skills you'll gain: Exploratory Data Analysis, Unsupervised Learning, Supervised Learning, Feature Engineering, Regression Analysis, Dimensionality Reduction, Data Cleansing, Data Access, Applied Machine Learning, Data Analysis, Predictive Modeling, Statistical Inference, Statistical Hypothesis Testing, Data Quality, Data Science, Machine Learning Algorithms, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library), Statistical Modeling, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.3K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Health Informatics

    Skills you'll gain: Health Informatics, Clinical Informatics, Health Technology, Change Control, Health Systems, Informatics, Health Policy, Health Care, Medical Records, Health Care Administration, Healthcare Industry Knowledge, Health Information Management, Decision Support Systems, Solution Design, Health Information Management and Medical Records, IT Management, Electronic Medical Record System, Databases, Usability Testing, Data Science

    4.4
    Rating, 4.4 out of 5 stars
    ·
    976 reviews

    Beginner · Specialization · 3 - 6 Months

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1…404142…834

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

  • IBM Full Stack Software Developer: IBM
  • Hardware Description Languages for FPGA Design: University of Colorado Boulder
  • Mathematics for Machine Learning: PCA: Imperial College London
  • Generative AI Using SAS: SAS
  • Accomplishment STAR Techniques for Job Interviews: Coursera
  • Predictive Analytics with SPSS: Analyze & Apply: EDUCBA
  • IBM Business Intelligence (BI) Analyst: IBM
  • Introduction to Programming with MATLAB: Vanderbilt University
  • Create Your First Python Program From UST: Coursera
  • IBM Deep Learning with PyTorch, Keras and Tensorflow: IBM

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