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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


  • D

    DeepLearning.AI

    Natural Language Processing in TensorFlow

    Skills you'll gain: Tensorflow, Recurrent Neural Networks (RNNs), Natural Language Processing, Embeddings, Generative AI, Artificial Neural Networks, Text Mining, Applied Machine Learning, Data Preprocessing, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    6.5K reviews

    Intermediate · Course · 1 - 4 Weeks

  • P

    Pontificia Universidad Católica de Chile

    Introducción a la programación en Python I: Aprendiendo a programar con Python

    Skills you'll gain: File I/O, Python Programming, Data Structures, Programming Principles, Computer Programming, Program Development, Algorithms

    4.4
    Rating, 4.4 out of 5 stars
    ·
    4.9K reviews

    Beginner · Course · 1 - 3 Months

  • U

    University of Michigan

    Introduction to CSS3

    Skills you'll gain: Web Content Accessibility Guidelines, Cascading Style Sheets (CSS), HTML and CSS, Web Design, Responsive Web Design, Usability, User Interface (UI), Browser Compatibility, Web Development, Javascript, Debugging

    4.8
    Rating, 4.8 out of 5 stars
    ·
    9.6K reviews

    Beginner · Course · 1 - 3 Months

  • U

    University of Maryland, College Park

    Cybersecurity in the AI Era

    Skills you'll gain: Cybersecurity, Cyber Security Policies, Cyber Risk, Cyber Attacks, Cyber Governance, Cyber Security Strategy, Security Management, Infrastructure Security, Data Security, Threat Modeling, Computer Security, Security Awareness, Risk Management, Enterprise Security, Vulnerability, Governance, General Networking, Public Safety and National Security, Threat Detection, Artificial Intelligence

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.3K reviews

    Beginner · Specialization · 3 - 6 Months

  • U

    University of Minnesota

    Recruiting, Hiring, and Onboarding Employees

    Skills you'll gain: Workforce Planning, Employee Onboarding, Recruitment, Recruitment Strategies, Full Cycle Recruitment, Talent Acquisition, Job Analysis, Human Resources, Employee Engagement, Talent Sourcing, Interviewing Skills, Decision Making, Diversity and Inclusion

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

    Mixed · Course · 1 - 4 Weeks

  • J

    Johns Hopkins University

    Advanced Probability and Statistical Methods

    Skills you'll gain: Regression Analysis, Statistical Hypothesis Testing, Statistical Analysis, Probability & Statistics, Statistical Methods, Probability Distribution, Data Analysis, Markov Model, Data Science, Statistics, Statistical Inference, Probability, R Programming

    Intermediate · Course · 1 - 3 Months

  • G

    Google

    Introduction to Git and GitHub

    Skills you'll gain: Git (Version Control System), GitHub, Version Control, Continuous Integration, Software Versioning, Collaborative Software, Software Development Tools, Code Review, Issue Tracking, Command-Line Interface

    4.8
    Rating, 4.8 out of 5 stars
    ·
    8K reviews

    Beginner · Course · 1 - 4 Weeks

  • D

    Duke University

    Introduction to Machine Learning

    Skills you'll gain: PyTorch (Machine Learning Library), Logistic Regression, Transfer Learning, Reinforcement Learning, Convolutional Neural Networks, Deep Learning, Image Analysis, Applied Machine Learning, Natural Language Processing, Machine Learning, Recurrent Neural Networks (RNNs), Artificial Neural Networks, Supervised Learning, Unsupervised Learning, Python Programming, Computer Vision, Medical Imaging

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.8K reviews

    Intermediate · Course · 1 - 3 Months

  • I

    IBM

    IBM Introduction to Machine Learning

    Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Unsupervised Learning, Supervised Learning, Classification Algorithms, Regression Analysis, Dimensionality Reduction, Statistical Methods, Data Preprocessing, Applied Machine Learning, Model Evaluation, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Data Access, Anomaly Detection, Logistic Regression, Scikit Learn (Machine Learning Library), Machine Learning, Machine Learning Algorithms

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

    Intermediate · Specialization · 3 - 6 Months

  • A

    Amazon Web Services

    AWS Cloud Technical Essentials

    Skills you'll gain: AWS Identity and Access Management (IAM), Amazon CloudWatch, Amazon DynamoDB, Amazon Web Services, Cloud Computing, Amazon S3, Scalability, Cloud Infrastructure, Amazon Elastic Compute Cloud, Cloud Security, Cloud Computing Architecture, Serverless Computing, Cloud Storage, Databases, Virtual Networking, General Networking, Containerization

    4.8
    Rating, 4.8 out of 5 stars
    ·
    6.3K reviews

    Beginner · Course · 1 - 4 Weeks

  • U

    University of Virginia

    Entrepreneurship: Growing Your Business

    Skills you'll gain: Financial Statements, Financial Accounting, Balance Sheet, Financial Reporting, Financial Statement Analysis, Design Thinking, Accounting, Annual Reports, Innovation, Process Design, Business Modeling, Entrepreneurship, Philanthropy, Leadership Development, Strategic Leadership, Corporate Sustainability, Professional Development, Business Ethics, Finance, HR Tech

    4.8
    Rating, 4.8 out of 5 stars
    ·
    7.8K reviews

    Beginner · Specialization · 3 - 6 Months

  • U

    University of Amsterdam

    Data Analytics for Lean Six Sigma

    Skills you'll gain: Lean Six Sigma, Statistical Hypothesis Testing, Minitab, Regression Analysis, Data Visualization Software, Probability Distribution, Data Analysis, Histogram, Statistical Analysis, Box Plots, Process Improvement, Logistic Regression, Statistics, Variance Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3.5K reviews

    Beginner · Course · 1 - 3 Months

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

  • Natural Language Processing in TensorFlow: DeepLearning.AI
  • Introducción a la programación en Python I: Aprendiendo a programar con Python: Pontificia Universidad Católica de Chile
  • Introduction to CSS3: University of Michigan
  • Cybersecurity in the AI Era: University of Maryland, College Park
  • Recruiting, Hiring, and Onboarding Employees: University of Minnesota
  • Advanced Probability and Statistical Methods: Johns Hopkins University
  • Introduction to Git and GitHub: Google
  • Introduction to Machine Learning: Duke University
  • IBM Introduction to Machine Learning: IBM
  • AWS Cloud Technical Essentials: Amazon Web Services

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