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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


  • Status: Free Trial
    Free Trial
    G

    Google

    Design Prompts for Everyday Work Tasks

    Skills you'll gain: Prompt Engineering, Brainstorming, Email Automation, AI Enablement, Concision, Large Language Modeling, Business Writing, Productivity, Organizational Skills

    4.8
    Rating, 4.8 out of 5 stars
    ·
    997 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Trees and Graphs: Basics

    Skills you'll gain: Graph Theory, Data Structures, Algorithms, Tree Maps, Network Analysis, Computational Thinking, Python Programming

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    182 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Generalized Linear Models and Nonparametric Regression

    Skills you'll gain: Statistical Modeling, R Programming, Data Analysis, Data Ethics, Statistical Methods, Regression Analysis, Predictive Modeling, Mathematical Modeling, Machine Learning, Logistic Regression, Statistical Inference, Model Evaluation, Probability Distribution, Linear Algebra, Calculus

    Build toward a degree

    4.3
    Rating, 4.3 out of 5 stars
    ·
    20 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Deep Learning & Neural Networks with Keras

    Skills you'll gain: Keras (Neural Network Library), Deep Learning, Transfer Learning, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Machine Learning Methods, Image Analysis, Autoencoders, Classification And Regression Tree (CART), Regression Analysis, Network Architecture, Natural Language Processing, Machine Learning, Model Evaluation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.1K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of Houston

    Math behind Moneyball

    Skills you'll gain: Probability & Statistics, Statistical Methods, Statistics, Microsoft Excel, Predictive Analytics, Game Theory, Spreadsheet Software, Predictive Modeling, Excel Formulas, Pivot Tables And Charts, Regression Analysis, Statistical Analysis, Performance Analysis, Advanced Analytics, Data-Driven Decision-Making, Analytics, Data Analysis Software, Business Mathematics, Forecasting, Probability

    4.5
    Rating, 4.5 out of 5 stars
    ·
    97 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    P

    Packt

    Survey of Data Science

    Skills you'll gain: Data Mining, Logistic Regression, Model Evaluation

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Preview
    Preview
    C

    CertNexus

    DSBIZ (Exam DSZ-210)

    Skills you'll gain: Customer experience improvement, Data Strategy, Data Modeling, Marketing Analytics, Customer Insights, Business Analytics, Business Intelligence, Marketing Strategies, Data Science, Operational Efficiency, Marketing, Data Ethics, Analytics, Customer Service, Big Data, Descriptive Analytics, Business Strategy, Data Collection, Predictive Analytics, Governance

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Computer Networks and Network Security

    Skills you'll gain: Networking Hardware, TCP/IP, Network Security, Network Protocols, Endpoint Detection and Response, Network Routing, Cybersecurity, Local Area Networks, Dynamic Host Configuration Protocol (DHCP), Firewall, General Networking, Information Systems Security, Intrusion Detection and Prevention, Endpoint Security, Network Infrastructure, Network Planning And Design, Wireless Networks, Security Information and Event Management (SIEM), Network Analysis, Data Loss Prevention

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.5K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Irvine

    An Introduction to Programming the Internet of Things (IOT)

    Skills you'll gain: Test Planning, Embedded Systems, Linux, Internet Of Things, Embedded Software, Basic Electrical Systems, Automation Engineering, User Requirements Documents, Electronics, Functional Requirement, Operating System Administration, Electronic Components, Systems Design, Operating Systems, Requirements Analysis, Network Protocols, Debugging, Application Programming Interface (API), TCP/IP, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    20K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Modern Data Analytics with Python, Excel & Generative AI

    Skills you'll gain: Business Intelligence, Excel Macros, Pandas (Python Package), Prompt Engineering, Forecasting, Data Storytelling, Time Series Analysis and Forecasting, Regression Analysis, Data Quality, Responsible AI, ChatGPT, Microsoft Excel, Data Analysis, Report Writing, Interactive Data Visualization, Data Modeling, Generative AI, Data Visualization, Exploratory Data Analysis, Statistical Analysis

    4.4
    Rating, 4.4 out of 5 stars
    ·
    414 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    F

    Fractal Analytics

    Structured Approach to Problem Solving

    Skills you'll gain: Human Centered Design, Problem Solving, Critical Thinking, Analytical Skills, Data Science, Complex Problem Solving, Decision Making, Data Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    153 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Front-End Developer

    Skills you'll gain: Bootstrap (Front-End Framework), Software Development Life Cycle, Cloud-Native Computing, Software Architecture, Browser Compatibility, User Centered Design, React Redux, CI/CD, Cloud Applications, Responsive Web Design, Cloud Development, NoSQL, Git (Version Control System), GitHub, Webpack, Application Development, MongoDB, Hypertext Markup Language (HTML), HTML and CSS, Engineering Software

    4.6
    Rating, 4.6 out of 5 stars
    ·
    8K reviews

    Beginner · Professional Certificate · 3 - 6 Months

1…858687…834

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

  • Design Prompts for Everyday Work Tasks: Google
  • Trees and Graphs: Basics: University of Colorado Boulder
  • Generalized Linear Models and Nonparametric Regression: University of Colorado Boulder
  • Introduction to Deep Learning & Neural Networks with Keras: IBM
  • Math behind Moneyball: University of Houston
  • Survey of Data Science: Packt
  • DSBIZ (Exam DSZ-210): CertNexus
  • Computer Networks and Network Security: IBM
  • An Introduction to Programming the Internet of Things (IOT): University of California, Irvine
  • Modern Data Analytics with Python, Excel & Generative AI: Coursera

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