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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
    U

    University of Glasgow

    Informed Clinical Decision Making using Deep Learning

    Skills you'll gain: Deep Learning, Model Evaluation, Data Ethics, Health Informatics, ICD Coding (ICD-9/ICD-10), Clinical Data Management, Medical Records, Clinical Informatics, Descriptive Analytics, Database Design, AI Security, Electronic Medical Record, Responsible AI, Data Mining, Precision Medicine, Analytics, Recurrent Neural Networks (RNNs), Data Preprocessing, Machine Learning, Autoencoders

    4.4
    Rating, 4.4 out of 5 stars
    ·
    35 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    S

    Splunk Inc.

    Splunk Search Expert 103

    Skills you'll gain: Splunk, Correlation Analysis, Performance Tuning, Data Manipulation, Data Analysis, Data Modeling, Big Data, Transaction Processing, Data Science, Business Analytics, Data Visualization

    4.7
    Rating, 4.7 out of 5 stars
    ·
    51 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of Michigan

    Impacting the Opioid Crisis: Prevention, Education, and Practice for Non-Prescribing Providers

    Skills you'll gain: Epidemiology, Pharmacology

    4.8
    Rating, 4.8 out of 5 stars
    ·
    51 reviews

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Access Bioinformatics Databases with Biopython

    Skills you'll gain: Bioinformatics, Scientific Visualization, Data Access, Extensible Markup Language (XML), Data Visualization, Data Wrangling, Database Software, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    47 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    L

    Ludwig-Maximilians-Universität München (LMU)

    Breastfeeding and Adequate Substitutes

    Skills you'll gain: Child Health, Infant Care, Maternal Health, Postpartum Care, Pediatrics, Anatomy, Nutrition and Diet, Public Health and Disease Prevention, Public Health, Clinical Nutrition, Immunology, Patient Positioning, Food Safety and Sanitation, Endocrinology, Biochemistry

    4.9
    Rating, 4.9 out of 5 stars
    ·
    62 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Hacking COVID-19 — Course 1: Identifying a Deadly Pathogen

    Skills you'll gain: Bioinformatics, Infectious Diseases, Molecular Biology, Computational Thinking, Microbiology, Biology

    4.4
    Rating, 4.4 out of 5 stars
    ·
    59 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Introduction to Microsoft Office

    Skills you'll gain: Microsoft Outlook, Microsoft Office, File Management, Email Automation

    4.5
    Rating, 4.5 out of 5 stars
    ·
    58 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Interventions and Calibration

    Skills you'll gain: Mathematical Modeling, Epidemiology, Infectious Diseases, Model Evaluation, Simulations, Statistical Modeling, Predictive Modeling, Data Modeling, R Programming, Statistical Methods, Public Health, Probability Distribution

    4.7
    Rating, 4.7 out of 5 stars
    ·
    56 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Generative AI for Marketers

    Skills you'll gain: Content Performance Analysis, Prompt Engineering, Microsoft Copilot, Customer Insights, Customer Analysis, Competitive Analysis, Persona Development, Content Marketing, Content Creation, Marketing Analytics, Generative AI Agents, Marketing Design, Marketing Strategies, Marketing Planning, Marketing Materials, Marketing, Ideation, Marketing Effectiveness, Social Media Content, Data Analysis

    4.5
    Rating, 4.5 out of 5 stars
    ·
    32 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Pontificia Universidad Católica del Perú

    Introducción al Desarrollo de Software

    Skills you'll gain: Software Development Life Cycle, Unified Modeling Language, Software Design, Software Engineering, Systems Development, Software Development, Waterfall Methodology, Requirements Analysis

    4.9
    Rating, 4.9 out of 5 stars
    ·
    135 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Codio

    Getting Started with Generative AI API

    Skills you'll gain: OpenAI API, Prompt Engineering, Large Language Modeling, ChatGPT, OpenAI, Generative AI, Application Performance Management, Image Analysis, Application Programming Interface (API), LLM Application, Multimodal Prompts, Animations, File Management, Graphics Software, Embeddings, Classification Algorithms, Computer Graphics, Application Development, Python Programming, Computer Science

    3.9
    Rating, 3.9 out of 5 stars
    ·
    36 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Maryland, College Park

    Advanced Digital Marketing

    Skills you'll gain: Customer Retention, Loyalty Programs, Marketing Budgets, Brand Loyalty, Customer Acquisition Management, Competitive Analysis, Customer Analysis, Customer Relationship Management, Customer Insights, Marketing Channel, Marketing Analytics, Customer Engagement, Marketing Effectiveness, Digital Marketing, Social Media Campaigns, Business-To-Consumer, Cross-Channel Marketing, AI Personalization, Data Ethics, Marketing Strategies

    4.6
    Rating, 4.6 out of 5 stars
    ·
    55 reviews

    Intermediate · Specialization · 1 - 3 Months

1…665666667…834

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

  • Informed Clinical Decision Making using Deep Learning: University of Glasgow
  • Splunk Search Expert 103: Splunk Inc.
  • Impacting the Opioid Crisis: Prevention, Education, and Practice for Non-Prescribing Providers: University of Michigan
  • Access Bioinformatics Databases with Biopython: Coursera
  • Breastfeeding and Adequate Substitutes: Ludwig-Maximilians-Universität München (LMU)
  • Hacking COVID-19 — Course 1: Identifying a Deadly Pathogen: University of California San Diego
  • Introduction to Microsoft Office: Coursera
  • Interventions and Calibration: Imperial College London
  • Generative AI for Marketers: Microsoft
  • Introducción al Desarrollo de Software: Pontificia Universidad Católica del Perú

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