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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
    I

    IBM

    Data Visualization and Dashboards with Excel and Cognos

    Skills you'll gain: Data Storytelling, Data Presentation, Interactive Data Visualization, Data Visualization Software, Dashboard, Data Visualization, Dashboard Creation, IBM Cognos Analytics, Pivot Tables And Charts, Microsoft Excel, Tree Maps, Scatter Plots, Histogram, Data Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    4.5K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    M

    Macquarie University

    Excel Skills for Business: Intermediate II

    Skills you'll gain: Excel Formulas, Microsoft Excel, Excel Macros, Data Validation, Spreadsheet Software, Data Modeling, Financial Forecasting, Predictive Modeling, Financial Modeling, Data Integrity, Visual Basic (Programming Language), Business Modeling, Automation, Data Security

    4.8
    Rating, 4.8 out of 5 stars
    ·
    8.5K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
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    T

    The University of Edinburgh

    Philosophy and the Sciences: Introduction to the Philosophy of Cognitive Sciences

    Skills you'll gain: Artificial Intelligence, Psychology, Fraud detection, Human Development, Scientific Methods, Research

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

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
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    I

    IBM

    IBM AI Developer

    Skills you'll gain: Prompt Engineering, Systems Development Life Cycle, Prompt Patterns, Software Development Life Cycle, Retrieval-Augmented Generation, Large Language Modeling, Software Architecture, Computer Vision, LangChain, Restful API, Responsive Web Design, Generative AI, Responsible AI, IBM Cloud, Data Ethics, AI Workflows, Python Programming, Software Development, Machine Learning, Data Science

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    82K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Preview
    Preview
    U

    University of Leeds

    Statistical Methods

    Skills you'll gain: Exploratory Data Analysis, Statistical Methods, Statistical Modeling, Statistical Software, R (Software), Probability & Statistics, Data Collection, Statistics, Data Literacy, Statistical Inference, R Programming, Statistical Programming, Probability, Data Analysis, Statistical Analysis, Probability Distribution, Simulations, Statistical Visualization, Statistical Reporting, Data Visualization Software

    4.8
    Rating, 4.8 out of 5 stars
    ·
    10 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Generative AI for Cybersecurity Professionals

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Generative Model Architectures, Cyber Threat Intelligence, Security Information and Event Management (SIEM), AI Security, Threat Modeling, AI literacy, Threat Detection, Cybersecurity, Incident Response, Malware Protection, Exploitation techniques, Artificial Intelligence and Machine Learning (AI/ML), Anomaly Detection, Large Language Modeling, Vulnerability Management, Incident Management

    4.7
    Rating, 4.7 out of 5 stars
    ·
    12K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Preview
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    C

    Coursera

    Data Science for Professionals

    Skills you'll gain: Predictive Modeling, Data Visualization, Predictive Analytics, Statistical Analysis, Data Manipulation, Data Analysis, Data Science, Statistical Methods, Data Visualization Software, Statistics, Data Wrangling, Data Cleansing, Data Preprocessing, Data-Driven Decision-Making, Model Evaluation, Data Collection, Machine Learning, Machine Learning Algorithms

    4.7
    Rating, 4.7 out of 5 stars
    ·
    25 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Data Science with R

    Skills you'll gain: Data Ethics, Exploratory Data Analysis, Data-Driven Decision-Making, Logistic Regression, Statistical Modeling, R (Software), Web Scraping, Ggplot2, Model Evaluation, Statistical Reporting, Data Visualization Software, Predictive Modeling, Tidyverse (R Package), Data Visualization, Responsible AI, Data Transformation, R Programming, Data Science, Data Wrangling, Version Control

    4.7
    Rating, 4.7 out of 5 stars
    ·
    39 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Modern Regression Analysis in R

    Skills you'll gain: Statistical Inference, Statistical Modeling, Regression Analysis, Data Ethics, Statistical Methods, Statistical Hypothesis Testing, Data Science, R Programming, Statistical Programming, Statistical Analysis, Predictive Modeling, Predictive Analytics, Probability & Statistics, Correlation Analysis, Model Evaluation, Plot (Graphics)

    Build toward a degree

    4.3
    Rating, 4.3 out of 5 stars
    ·
    37 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of Colorado Boulder

    Designing Effective Science Communication

    Skills you'll gain: Oral Expression, Human Learning, Education Software and Technology, Technical Communication, Education and Training, Writing, Community Outreach, Learning Theory, Pedagogy, Research, Technical Writing, Media and Communications, Science and Research, Persuasive Communication, Interviewing Skills, Photography, Psychology, Content Creation, Digital Communications, Music

    4.6
    Rating, 4.6 out of 5 stars
    ·
    137 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI for Sales Professionals

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Generative Model Architectures, Sales Strategy, Sales Presentation, Sales Enablement, Sales Training, Sales Pipelines, Sales Management, Personalized Campaigns, AI literacy, Lead Generation, Sales Prospecting, LinkedIn, B2B Sales, Prospecting and Qualification, AI Personalization, Marketing Collateral

    4.7
    Rating, 4.7 out of 5 stars
    ·
    12K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Statistics & Mathematics for Data Science & Data Analytics

    Skills you'll gain: Probability & Statistics, Statistics, Data Analysis, Statistical Analysis, Regression Analysis, Statistical Methods, Probability, Data Science, Statistical Modeling, Data-Driven Decision-Making, Bayesian Statistics, Classification And Regression Tree (CART), Statistical Machine Learning, Statistical Inference, Probability Distribution, Predictive Analytics, Applied Machine Learning, Correlation Analysis, Predictive Modeling, Data Preprocessing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    11 reviews

    Intermediate · Course · 1 - 3 Months

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

  • Data Visualization and Dashboards with Excel and Cognos: IBM
  • Excel Skills for Business: Intermediate II: Macquarie University
  • Philosophy and the Sciences: Introduction to the Philosophy of Cognitive Sciences: The University of Edinburgh
  • IBM AI Developer: IBM
  • Statistical Methods: University of Leeds
  • IBM Generative AI for Cybersecurity Professionals: IBM
  • Data Science for Professionals: Coursera
  • Data Science with R: Duke University
  • Modern Regression Analysis in R: University of Colorado Boulder
  • Designing Effective Science Communication: University of Colorado Boulder

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