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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


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    Stanford University

    Cryptography I

    Skills you'll gain: Cryptography, Data Encryption Standard, Encryption, Key Management, Advanced Encryption Standard (AES), Public Key Cryptography Standards (PKCS), Cybersecurity, Authentications, Data Integrity, Secure Coding, Algorithms, Computational Thinking

    4.8
    Rating, 4.8 out of 5 stars
    ·
    4.5K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Put It to Work: Prepare for Cybersecurity Jobs

    Skills you'll gain: Incident Response, Computer Security Incident Management, Incident Management, Cybersecurity, Cyber Threat Intelligence, Security Management, Cyber Security Policies, Security Awareness, Data Ethics, Data Security, Personally Identifiable Information, AI Security, Technical Communication, Artificial Intelligence

    4.8
    Rating, 4.8 out of 5 stars
    ·
    6.1K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    U

    University of California, Davis

    Introduction to Google SEO

    Skills you'll gain: Search Engine Optimization, Persona Development, Web Analytics and SEO, Keyword Research, Target Audience, Branding, Target Market, Digital Marketing, Social Media Strategy, Content Strategy, Brand Awareness, Consumer Behaviour, User Research, Algorithms, Data Analysis, Business Reporting

    4.6
    Rating, 4.6 out of 5 stars
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    10K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Microsoft 365 Fundamentals

    Skills you'll gain: Multimedia, Microsoft PowerPoint, Microsoft Excel, Excel Formulas, Microsoft Word, Microsoft 365, Data Visualization, Presentations, Spreadsheet Software, Microsoft Office, Productivity Software, Collaborative Software, Data Import/Export, Microsoft Windows, Editing, Document Management, Technical Documentation, Writing, Data Entry, Data Management

    4.7
    Rating, 4.7 out of 5 stars
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    6K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
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    Status: Free Trial
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    S

    Skillshare

    AI for Business: Branding, Creative Content, and Marketing

    Skills you'll gain: AI Workflows, Copywriting, Education Software and Technology, Motion Graphics, Blogs, AI Product Strategy, Graphic and Visual Design, Scripting, Color Theory, Target Audience, Creativity, Writing and Editing, Social Media Content, Typography, Marketing, Business Research

    3.7
    Rating, 3.7 out of 5 stars
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    43 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
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    S

    SAS

    Generative AI Using SAS

    Skills you'll gain: Generative AI, Retrieval-Augmented Generation, Large Language Modeling, Generative Adversarial Networks (GANs), Responsible AI, Embeddings, Data Synthesis, SAS (Software), Text Mining, Natural Language Processing

    Beginner · Course · 1 - 3 Months

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

    IBM

    IBM Deep Learning with PyTorch, Keras and Tensorflow

    Skills you'll gain: Transfer Learning, PyTorch (Machine Learning Library), Model Evaluation, Vision Transformer (ViT), Keras (Neural Network Library), Deep Learning, Reinforcement Learning, Convolutional Neural Networks, Unsupervised Learning, Autoencoders, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Logistic Regression, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Image Analysis, Data Preprocessing, Model Deployment, Computer Vision

    4.5
    Rating, 4.5 out of 5 stars
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    4.1K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

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    T

    The University of Tokyo

    Let’s Read! Learning Japanese through Science & Technology-1

    Skills you'll gain: Oral Comprehension, Traffic Flow Optimization, Vocabulary, Water Resources, Literacy, Water Quality, Language Learning, Robotics, Grammar, Augmented Reality, Biochemistry

    4.7
    Rating, 4.7 out of 5 stars
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    106 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
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    Birla Institute of Technology & Science, Pilani

    Data Structures and Algorithms

    Skills you'll gain: Algorithms, Computational Thinking, Programming Principles, Data Storage Technologies, Problem Solving, Software Design, Data Manipulation, C and C++, Tree Maps, Complex Problem Solving, Analysis

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
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    I

    Imperial College London

    Introduction to Statistics & Data Analysis in Public Health

    Skills you'll gain: Analytical Skills, Sampling (Statistics), Statistical Hypothesis Testing, Data Literacy, R (Software), Data Analysis, R Programming, Statistics, Public Health, Statistical Inference, Descriptive Statistics, Probability Distribution, Data Import/Export

    4.7
    Rating, 4.7 out of 5 stars
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    1.5K reviews

    Beginner · 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
    I

    Imperial College London

    Statistical Analysis with R for Public Health

    Skills you'll gain: Logistic Regression, Analytical Skills, Correlation Analysis, Regression Analysis, Sampling (Statistics), Statistical Hypothesis Testing, Data Literacy, Data Analysis, R Programming, Descriptive Statistics, Statistical Modeling, Biostatistics, Model Evaluation, Exploratory Data Analysis, Statistical Analysis, R (Software), Statistics, Statistical Methods, Data Wrangling, Public Health

    4.7
    Rating, 4.7 out of 5 stars
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    2.1K reviews

    Beginner · Specialization · 3 - 6 Months

Searches related to statistics for data science

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

  • Cryptography I: Stanford University
  • Put It to Work: Prepare for Cybersecurity Jobs: Google
  • Introduction to Google SEO: University of California, Davis
  • Microsoft 365 Fundamentals: Microsoft
  • AI for Business: Branding, Creative Content, and Marketing: Skillshare
  • Generative AI Using SAS: SAS
  • IBM Deep Learning with PyTorch, Keras and Tensorflow: IBM
  • Let’s Read! Learning Japanese through Science & Technology-1: The University of Tokyo
  • Data Structures and Algorithms: Birla Institute of Technology & Science, Pilani
  • Introduction to Statistics & Data Analysis in Public Health: Imperial College London

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