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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


  • U

    University of London

    Fundamentals of Marketing Strategy

    Skills you'll gain: Marketing Planning, Marketing Strategies, Marketing Strategy and Techniques, Strategic Marketing, Competitive Analysis, Market Analysis, Marketing, Marketing Management, Business Strategy, Market Dynamics, Target Market, Auditing, Analysis

    4.5
    Rating, 4.5 out of 5 stars
    ·
    304 reviews

    Mixed · Course · 1 - 4 Weeks

  • U

    University of Minnesota

    Introduction to Predictive Modeling

    Skills you'll gain: Time Series Analysis and Forecasting, Model Evaluation, Predictive Modeling, Data Preprocessing, Regression Analysis, Microsoft Excel, Forecasting, Excel Formulas, Pivot Tables And Charts, Data Transformation, Statistical Modeling, Trend Analysis, Predictive Analytics, Statistical Methods

    4.8
    Rating, 4.8 out of 5 stars
    ·
    143 reviews

    Mixed · Course · 1 - 4 Weeks

  • I

    Imperial College London

    Customising your models with TensorFlow 2

    Skills you'll gain: Recurrent Neural Networks (RNNs), Tensorflow, Data Pipelines, Keras (Neural Network Library), Transfer Learning, Deep Learning, Convolutional Neural Networks, Natural Language Processing, Embeddings, Model Evaluation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    196 reviews

    Intermediate · Course · 1 - 3 Months

  • U

    University of Colorado System

    Symmetric Cryptography

    Skills you'll gain: Data Encryption Standard, Advanced Encryption Standard (AES), Cryptography, Encryption, Brute-force attacks, Algorithms

    4.5
    Rating, 4.5 out of 5 stars
    ·
    280 reviews

    Intermediate · Course · 1 - 3 Months

  • M

    Macquarie University

    Excel Skills for Business Forecasting

    Skills you'll gain: Time Series Analysis and Forecasting, Forecasting, Model Evaluation, Regression Analysis, Microsoft Excel, Excel Formulas, Trend Analysis, Case Studies, Business Mathematics, Business Metrics, Predictive Modeling, Data Presentation, Statistical Visualization, Graphing, Business Economics, Statistical Modeling, Business Analytics, Decision Making, Process Optimization, Statistical Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    323 reviews

    Intermediate · Specialization · 3 - 6 Months

  • C

    Columbia University

    MOS Transistors

    Skills you'll gain: Semiconductors, Electronics, Electronics Engineering, Electronic Components, Simulation and Simulation Software, Electrical Engineering, Simulations, Mathematical Modeling, Model Evaluation, Differential Equations, Calculus

    4.6
    Rating, 4.6 out of 5 stars
    ·
    150 reviews

    Mixed · Course · 1 - 3 Months

  • P

    Pearson

    Data Science Fundamentals Part 2: Unit 2

    Skills you'll gain: A/B Testing, Sampling (Statistics), Statistical Inference, Estimation, Statistical Analysis, Analytics, Probability & Statistics, Data Analysis, Correlation Analysis, Descriptive Statistics

    Beginner · Course · 1 - 4 Weeks

  • 2

    28DIGITAL

    Privacy and Standardisation

    Skills you'll gain: Technical Standard, General Data Protection Regulation (GDPR), Personally Identifiable Information, Information Privacy, Case Law, Medical Privacy, Court Systems, Telecommunications, Law, Regulation, and Compliance, Legal Research, Data Ethics, IT Security Architecture, Technology Roadmaps, European History, International Relations, Interoperability, Data Governance, Cybersecurity, Data Security, Emerging Technologies

    4.4
    Rating, 4.4 out of 5 stars
    ·
    383 reviews

    Intermediate · Specialization · 3 - 6 Months

  • R

    Rutgers the State University of New Jersey

    Business Intelligence and Competitive Analysis

    Skills you'll gain: Competitive Intelligence, Competitive Analysis, Data Storytelling, Business Intelligence, Business Analytics, Data Analysis, Management Consulting, Business Strategy, Strategic Thinking, Market Analysis, Business Analysis, Performance Analysis, Benchmarking, Key Performance Indicators (KPIs), Root Cause Analysis, Risk Analysis, Financial Analysis

    4.4
    Rating, 4.4 out of 5 stars
    ·
    244 reviews

    Beginner · Course · 1 - 4 Weeks

  • S

    Stanford University

    Rebuilding Our Relationship with Food

    Skills you'll gain: Cultural Diversity, Compassion, Food and Beverage, Nutrition and Diet, Mindfulness, Behavioral Health, Self-Awareness, Empowerment, Decision Making

    4.9
    Rating, 4.9 out of 5 stars
    ·
    359 reviews

    Beginner · Course · 1 - 4 Weeks

  • D

    Duke University

    Scripting with Python and SQL for Data Engineering

    Skills you'll gain: Web Scraping, MySQL, SQL, JSON, Scripting, Data Persistence, Data Manipulation, Data Structures, Database Management, Databases, Data Import/Export, Data Capture, Spatial Analysis, Python Programming, Hypertext Markup Language (HTML)

    4.4
    Rating, 4.4 out of 5 stars
    ·
    109 reviews

    Intermediate · Course · 1 - 4 Weeks

  • M

    Meta

    Programming Fundamentals in Swift

    Skills you'll gain: Swift Programming, Apple Xcode, iOS Development, Data Structures, Programming Principles, Mobile Development, Application Development, Object Oriented Programming (OOP), Development Environment, Computer Programming, Web Development

    4.7
    Rating, 4.7 out of 5 stars
    ·
    273 reviews

    Beginner · Course · 1 - 3 Months

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1…427428429…834

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

  • Fundamentals of Marketing Strategy: University of London
  • Introduction to Predictive Modeling: University of Minnesota
  • Customising your models with TensorFlow 2: Imperial College London
  • Symmetric Cryptography: University of Colorado System
  • Excel Skills for Business Forecasting: Macquarie University
  • MOS Transistors: Columbia University
  • Data Science Fundamentals Part 2: Unit 2: Pearson
  • Privacy and Standardisation: 28DIGITAL
  • Business Intelligence and Competitive Analysis: Rutgers the State University of New Jersey
  • Rebuilding Our Relationship with Food: Stanford University

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