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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 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

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
    ·
    132 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    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
    Rating, 4.8 out of 5 stars
    ·
    8 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    H

    Howard University

    Linear Algebra for Data Science Using Python

    Skills you'll gain: Data Wrangling, Linear Algebra, Regression Analysis, Data Manipulation, Predictive Modeling, Dimensionality Reduction, Data Science, Data Visualization, Plot (Graphics), Mathematical Modeling, Scientific Visualization, Data Preprocessing, NumPy, Predictive Analytics, Statistical Modeling, Mathematical Software, Statistical Methods, Applied Mathematics, Algebra, Python Programming

    4.3
    Rating, 4.3 out of 5 stars
    ·
    33 reviews

    Beginner · Specialization · 3 - 6 Months

  • C

    Coursera

    Python for Beginners: Data Structures

    Skills you'll gain: Data Structures, Plot (Graphics), Python Programming, Data Store, Data Storage

    4.4
    Rating, 4.4 out of 5 stars
    ·
    50 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of London

    C++ Programming: Classes and Data

    Skills you'll gain: C++ (Programming Language), Object Oriented Programming (OOP), C and C++, Object Oriented Design, File I/O, Programming Principles, Data Structures, Program Development, Data Modeling, FinTech

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
    ·
    65 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of Illinois Urbana-Champaign

    Introduction to Finance: The Role of Financial Markets

    Skills you'll gain: Financial Market, Capital Budgeting, Financial Management, Finance, General Finance, Investments, Securities (Finance), Equities, Capital Markets, Decision Making, Return On Investment, Market Data, Risk Management, Cash Flows, Risk Analysis

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    100 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Pontificia Universidad Católica de Chile

    Análisis de Negocios con Estados Financieros

    Skills you'll gain: Financial Statements, Financial Statement Analysis, Financial Accounting, Income Statement, Financial Analysis, Balance Sheet, Financial Reporting, Accruals, Cash Flows, Cash Management, Working Capital, Accrual Accounting, Asset Management, Resource Management, Equities, Market Analysis

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
    ·
    169 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    Emory University

    Managing Uncertainty in Marketing Analytics

    Skills you'll gain: Probability Distribution, Marketing Analytics, Probability, Microsoft Excel, Statistics, Data-Driven Marketing, Statistical Methods, Statistical Modeling, Probability & Statistics, Risk Modeling, Excel Formulas, Decision Making, Risk Management, Simulation and Simulation Software, Insurance and Warranty Claims Processing, Risk Analysis

    4.3
    Rating, 4.3 out of 5 stars
    ·
    68 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Node.js & MongoDB: Developing Back-end Database Applications

    Skills you'll gain: Node.JS, Restful API, Database Design, Database Development, Database Application, NoSQL, MongoDB, Back-End Web Development, Performance Tuning, API Design, Cloud Applications, Relational Databases, Authentications, Server Side, Application Programming Interface (API), Cloud Development, Cloud Deployment, Middleware, Scalability, Javascript

    4.5
    Rating, 4.5 out of 5 stars
    ·
    54 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    Microsoft Azure: Cloud Solutions Mastery

    Skills you'll gain: Responsible AI, Azure Active Directory, Microsoft Azure, Platform As A Service (PaaS), Relational Databases, Cloud Applications, AI Personalization, Power BI, Performance Tuning, Cloud Hosting, Model Deployment, Anomaly Detection, Cloud Platforms, Cloud Services, .NET Framework, Cloud Management, Performance Analysis, Cloud Development, Azure DevOps, Big Data

    4.8
    Rating, 4.8 out of 5 stars
    ·
    242 reviews

    Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera

    Mastering Data Analysis with Pandas: Learning Path Part 4

    Skills you'll gain: Pandas (Python Package), Data Analysis, Data Manipulation, Time Series Analysis and Forecasting, Python Programming

    4.8
    Rating, 4.8 out of 5 stars
    ·
    18 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    S

    Skillshare

    Notion for Beginners: Master the Core Features

    Skills you'll gain: Information Architecture, Content Management Systems, No-Code Development, Organizational Skills, Content Management, Document Management, Productivity, User Accounts

    4
    Rating, 4 out of 5 stars
    ·
    16 reviews

    Mixed · Course · 1 - 3 Months

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

  • Accounting Analysis II: Measurement and Disclosure of Liabilities: University of Illinois Urbana-Champaign
  • R Ultimate 2024 - R for Data Science and Machine Learning: Packt
  • Linear Algebra for Data Science Using Python: Howard University
  • Python for Beginners: Data Structures: Coursera
  • C++ Programming: Classes and Data: University of London
  • Introduction to Finance: The Role of Financial Markets: University of Illinois Urbana-Champaign
  • Análisis de Negocios con Estados Financieros: Pontificia Universidad Católica de Chile
  • Managing Uncertainty in Marketing Analytics: Emory University
  • Node.js & MongoDB: Developing Back-end Database Applications: IBM
  • Microsoft Azure: Cloud Solutions Mastery: EDUCBA

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