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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


  • M

    Microsoft

    Team Building and Leadership in Project Management

    Skills you'll gain: Team Building, Virtual Teams, Team Leadership, Team Management, Conflict Management, Teamwork, Team Performance Management, Leadership and Management, Leadership, Project Management, Project Management Institute (PMI) Methodology, Intercultural Competence, Leadership Development, Team Motivation, Organizational Leadership, Telecommuting, Communication Strategies, Communication

    ★ 4.8 (113) · Beginner · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
  • C

    Coursera

    Using Google Forms for Student Success

    Skills you'll gain: Education Software and Technology, Google Workspace, Digital pedagogy

    ★ 4.8 (241) · Beginner · Guided Project · Less Than 2 Hours

    Category: Free
    Free
  • A

    Arizona State University

    Decision-Making for Everyone

    Skills you'll gain: Decision Making, Creative Thinking, Problem Solving, Creative Problem-Solving, Decisiveness, Complex Problem Solving, Critical Thinking and Problem Solving, Resourcefulness, Creativity, Curiosity, Strategic Thinking, Root Cause Analysis, Independent Thinking, Ethical Standards And Conduct, Risk Analysis, Innovation, Social Impact, Risk Management, Analysis, Data Collection

    ★ 4.7 (151) · Beginner · Specialization · 3 - 6 Months

    Status: Free Trial
    Free Trial
  • J

    Johns Hopkins University

    Introduction to Parallel Programming with CUDA

    Skills you'll gain: Performance Tuning, Memory Management, System Programming, Hardware Architecture, Program Development, Computer Architecture, Performance Testing, Computer Hardware, Algorithms

    ★ 2.8 (66) · Intermediate · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
  • C

    Coursera

    Data Analysis in R: Predictive Analysis with Regression

    Skills you'll gain: Ggplot2, Model Evaluation, Plot (Graphics), Regression Analysis, Predictive Analytics, Predictive Modeling, Statistical Visualization, Data-Driven Decision-Making, Statistical Modeling, R Programming, Descriptive Statistics, R (Software), Exploratory Data Analysis, Descriptive Analytics, Statistical Analysis, Data Analysis

    ★ 4.2 (13) · Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Financial Analysis: Portfolios, Risks, Strategic Decisions

    Skills you'll gain: Portfolio Management, Portfolio Risk, Investment Management, Risk Management, Financial Management, Wealth Management, Finance, Financial Market, Investments, Financial Planning, Financial Analysis, Asset Management, Risk Analysis, General Finance, Investment Banking, Market Dynamics, Market Trend, Quantitative Research, Case Studies

    ★ 4.4 (156) · Beginner · Course · 1 - 4 Weeks

    Category: Preview
    Preview
  • É

    École Polytechnique Fédérale de Lausanne

    Functional Programming Principles in Scala (Scala 2 version)

    Skills you'll gain: Scala Programming, Programming Principles, Data Structures, Functional Design, Object Oriented Programming (OOP), Other Programming Languages, Object Oriented Design, Computational Logic, Command-Line Interface

    ★ 4.8 (66) · Intermediate · Course · 1 - 3 Months

    Category: Preview
    Preview
  • A

    Arizona State University

    Digital Intelligence for Everyone

    Skills you'll gain: Intellectual Property, Cyber Attacks, Data Security, Safety and Security, Cybersecurity, Application Security, Security Software, Computer Security Awareness Training, Research, Content Creation, digital literacy, Media and Communications, Storytelling, Productivity, Digital Communications, Interpersonal Communications, Empathy & Emotional Intelligence, Personal Development, Self-Awareness, Digital Analysis

    ★ 4.7 (153) · Beginner · Specialization · 3 - 6 Months

    Status: Free Trial
    Free Trial
  • E

    EC-Council

    Secure Full Stack MEAN Developer

    Skills you'll gain: Node.JS, MongoDB, Angular, Full-Stack Web Development, JavaScript Frameworks, Restful API, Web Frameworks, Secure Coding, Server Side, Web Applications, Web Development, NoSQL, Front-End Web Development, Web Development Tools, Web Servers, Postman API Platform, Application Programming Interface (API), API Design, Javascript, Database Systems

    ★ 4.6 (91) · Beginner · Course · 1 - 3 Months

    Category: Preview
    Preview
  • M

    MathWorks

    Introduction to Computer Vision

    Skills you'll gain: Image Analysis, Computer Vision, Matlab, Anomaly Detection, Geospatial Information and Technology, Machine Learning Methods, Algorithms

    ★ 4.6 (60) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
  • U

    University of Illinois Urbana-Champaign

    Accounting Analysis II: Measurement and Disclosure of Liabilities

    Skills you'll gain: General Accounting, Accounts Payable, Accrual Accounting, Accruals, Accounting, Standard Accounting Practices, International Financial Reporting Standards, Technical Accounting, Financial Accounting, Revenue Recognition, Generally Accepted Accounting Principles (GAAP), Lease Contracts, Financial Reporting, Financial Statements

    ★ 4.7 (132) · Intermediate · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Build toward a degree
    Build toward a degree
  • P

    Packt

    R Ultimate 2024 - R for Data Science and Machine Learning

    Skills you'll gain: Rmarkdown, Autoencoders, Shiny (R Package), Deep Learning, Recurrent Neural Networks (RNNs), Transfer Learning, Model Evaluation, R (Software), Artificial Intelligence and Machine Learning (AI/ML), Data Import/Export, Classification Algorithms, Reinforcement Learning, R Programming, Model Training, Ggplot2, Plot (Graphics), Data Manipulation, Convolutional Neural Networks, Applied Machine Learning, Machine Learning Algorithms

    ★ 4.8 (8) · Beginner · Specialization · 3 - 6 Months

    Status: Free Trial
    Free Trial
1…579580581…834

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

  • Team Building and Leadership in Project Management: Microsoft
  • Using Google Forms for Student Success: Coursera
  • Decision-Making for Everyone: Arizona State University
  • Introduction to Parallel Programming with CUDA: Johns Hopkins University
  • Data Analysis in R: Predictive Analysis with Regression: Coursera
  • Financial Analysis: Portfolios, Risks, Strategic Decisions: Coursera
  • Functional Programming Principles in Scala (Scala 2 version): École Polytechnique Fédérale de Lausanne
  • Digital Intelligence for Everyone: Arizona State University
  • Secure Full Stack MEAN Developer: EC-Council
  • Introduction to Computer Vision: MathWorks

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