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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
    I

    IBM

    Introduction to Artificial Intelligence (AI)

    4.7
    Rating, 4.7 out of 5 stars
    ·
    23K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    AI for Medicine

    Skills you'll gain: Model Evaluation, Deep Learning, Statistical Analysis, Clinical Trials, Data Preprocessing, Risk Modeling, Treatment Planning, Data Analysis, Convolutional Neural Networks, Decision Tree Learning, Predictive Modeling, Feature Engineering, Patient Treatment, Image Analysis, Applied Machine Learning, AI Personalization, Diagnostic Radiology, Machine Learning, Random Forest Algorithm, Forecasting

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.5K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Neural Networks and Deep Learning

    Skills you'll gain: Deep Learning, Artificial Neural Networks, Convolutional Neural Networks, Applied Machine Learning, Supervised Learning, Recurrent Neural Networks (RNNs), Python Programming, Linear Algebra, Calculus

    4.9
    Rating, 4.9 out of 5 stars
    ·
    124K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Key Technologies for Business

    Skills you'll gain: Cloud Computing Architecture, Cloud Services, Cloud Deployment, Cloud Security, Data Literacy, Cloud Infrastructure, Data Mining, Cloud Platforms, Cloud Computing, Cloud Storage, Infrastructure As A Service (IaaS), Big Data, Emerging Technologies, Hybrid Cloud Computing, Data Analysis, Data Science, Virtual Machines, Digital Transformation, Data-Driven Decision-Making, Business

    4.7
    Rating, 4.7 out of 5 stars
    ·
    107K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    T

    The Hong Kong University of Science and Technology

    The Science of Gastronomy

    Skills you'll gain: Cooking, Food and Beverage, Nutrition and Diet, Meal Planning And Preparation, Biochemistry, Aesthetics, Color Theory, Chemistry, Physiology, Physics, Psychology

    4.6
    Rating, 4.6 out of 5 stars
    ·
    789 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Santa Cruz

    C for Everyone, Part 1: Programming Fundamentals

    Skills you'll gain: Programming Principles, Software Documentation

    4.5
    Rating, 4.5 out of 5 stars
    ·
    6.8K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Macquarie University

    Excel Skills for Business: Intermediate I

    Skills you'll gain: Microsoft Excel, Dashboard, Spreadsheet Software, Data Analysis Expressions (DAX), Consolidation, Business Reporting, Data Management, Data Integration, Data Cleansing, Automation

    4.9
    Rating, 4.9 out of 5 stars
    ·
    18K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of Leeds

    Programming for Data Science

    Skills you'll gain: Jupyter, Programming Principles, Computer Programming, Python Programming, Development Environment, Scripting, Software Installation, Data Structures, Data Science

    4.4
    Rating, 4.4 out of 5 stars
    ·
    30 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    The Data Scientist’s Toolbox

    Skills you'll gain: Rmarkdown, Version Control, Data Science, R (Software), GitHub, Data Literacy, Data Analysis, R Programming, Statistical Programming, Exploratory Data Analysis, Software Installation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    34K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    F

    Fractal Analytics

    Data Analysis Using SQL

    Skills you'll gain: Database Design, Data Manipulation, SQL, Relational Databases, Database Management, Data Analysis, Data Cleansing, Databases, Query Languages, Data Transformation, MySQL Workbench, Data Integrity

    4.5
    Rating, 4.5 out of 5 stars
    ·
    57 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    Snowflake

    Snowflake Data Engineering

    Skills you'll gain: Data Engineering, Data Pipelines, Database Management, Data Manipulation, Databases, Data Transformation, Extract, Transform, Load, Data Warehousing, Change Control, DevOps, Cloud Development, SQL, Data Integration, CI/CD, Application Development, Artificial Intelligence and Machine Learning (AI/ML), Role-Based Access Control (RBAC), Software Development Tools, Stored Procedure, Data Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    349 reviews

    Beginner · Professional Certificate · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Statistics & Mathematics for Data Science & Data Analytics

    Skills you'll gain: Statistics, Data Analysis, Statistical Analysis, Regression Analysis, Analytics, Statistical Methods, Probability, Data Science, Statistical Modeling, Data-Driven Decision-Making, Statistical Inference, Probability Distribution, Applied Machine Learning, Predictive Modeling, Model Evaluation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    11 reviews

    Intermediate · Course · 1 - 3 Months

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

  • Introduction to Artificial Intelligence (AI): IBM
  • AI for Medicine: DeepLearning.AI
  • Neural Networks and Deep Learning: DeepLearning.AI
  • Key Technologies for Business: IBM
  • The Science of Gastronomy: The Hong Kong University of Science and Technology
  • C for Everyone, Part 1: Programming Fundamentals: University of California, Santa Cruz
  • Excel Skills for Business: Intermediate I: Macquarie University
  • Programming for Data Science: University of Leeds
  • The Data Scientist’s Toolbox: Johns Hopkins University
  • Data Analysis Using SQL: Fractal Analytics

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