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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


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    Tableau Learning Partner

    Introduction to Tableau

    Skills you'll gain: Tableau Software, Data Visualization Software, Business Analytics, Business Intelligence, Data Preprocessing, Data Integration, Data Cleansing, Performance Tuning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    320 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    U

    University of Colorado Boulder

    Statistics and Data Analysis with Excel, Part 2

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Analysis, Sampling (Statistics), Statistical Methods, Statistical Software, Microsoft Excel, Excel Formulas, Probability & Statistics, Data Analysis, Regression Analysis, Statistical Inference, Probability Distribution, Data Analysis Software, Statistical Modeling, Analysis, Probability

    4.6
    Rating, 4.6 out of 5 stars
    ·
    10 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    Google

    The Path to Insights: Data Models and Pipelines

    Skills you'll gain: Data Modeling, Database Design, Extract, Transform, Load, Databases, Data Warehousing, Database Systems, Data Pipelines, Business Intelligence, Data Integrity, Data Validation, Data Mart, Business Process, Data Integration, Data Management, Data Quality, Data Transformation, Performance Testing

    4.7
    Rating, 4.7 out of 5 stars
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    716 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: New
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    Google

    Introduction to Data Analysis Using Python

    Skills you'll gain: Object Oriented Programming (OOP), Data Structures, Data Cleansing, Python Programming, Data Analysis, NumPy, Pandas (Python Package), Data Manipulation, Programming Principles, Computer Programming, Analytics, Analytical Skills, Scripting, Code Reusability

    4.6
    Rating, 4.6 out of 5 stars
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    131 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
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    U

    University of Cape Town

    Understanding Clinical Research: Behind the Statistics

    Skills you'll gain: Biostatistics, Statistical Methods, Statistical Hypothesis Testing, Data Literacy, Probability & Statistics, Diagnostic Tests, Clinical Research, Medical Science and Research, Clinical Trials, Statistical Analysis, Science and Research, Quantitative Research, Statistics, Scientific Methods, Descriptive Statistics, Statistical Inference, Probability, Epidemiology

    4.8
    Rating, 4.8 out of 5 stars
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    3.7K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    IBM

    IBM & Darden Digital Strategy

    Skills you'll gain: Data Storytelling, Strategic Thinking, Digital Transformation, Business Strategy, Cloud Computing Architecture, Data Wrangling, Competitive Analysis, Cloud Services, Data Presentation, Cloud Deployment, Business Transformation, Responsible AI, Cloud Security, Cloud Technologies, Cloud Infrastructure, Big Data, Cloud Platforms, Cloud Computing, Generative AI, Data Science

    4.7
    Rating, 4.7 out of 5 stars
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    51K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
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    University of Michigan

    Applied Machine Learning in Python

    Skills you'll gain: Feature Engineering, Model Evaluation, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning Methods, Machine Learning, Model Training, Model Optimization, Machine Learning Algorithms, Unsupervised Learning, Python Programming, Classification Algorithms, Artificial Neural Networks

    4.6
    Rating, 4.6 out of 5 stars
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    8.8K reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Data Science Challenge

    Skills you'll gain: Applied Machine Learning, Jupyter, Machine Learning Algorithms, Model Evaluation, Machine Learning, Model Training, Predictive Modeling, Data Science, Python Programming, Predictive Analytics, Data Analysis

    4.6
    Rating, 4.6 out of 5 stars
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    221 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
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    Duke University

    Data Science with R

    Skills you'll gain: Data Ethics, Exploratory Data Analysis, Data-Driven Decision-Making, Logistic Regression, Statistical Modeling, R (Software), Web Scraping, Ggplot2, Model Evaluation, Statistical Reporting, Data Visualization Software, Predictive Modeling, Tidyverse (R Package), Data Visualization, Responsible AI, Data Transformation, R Programming, Data Science, Data Wrangling, Version Control

    4.7
    Rating, 4.7 out of 5 stars
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    41 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: New
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    SAS

    Statistics You Need to Know for Machine Learning

    Skills you'll gain: Exploratory Data Analysis, Logistic Regression, Correlation Analysis, Applied Machine Learning, Model Evaluation, Data Modeling

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    D

    DeepLearning.AI

    Generative AI for Everyone

    Skills you'll gain: Prompt Engineering, Responsible AI, Generative AI, Large Language Modeling, AI literacy, Data Ethics, AI Enablement, LLM Application, AI Product Strategy, Artificial Intelligence, Retrieval-Augmented Generation, Business Process Automation, Automation, Cloud Applications

    4.8
    Rating, 4.8 out of 5 stars
    ·
    5.1K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Statistics and Data Analysis with R

    Skills you'll gain: Descriptive Statistics, Statistical Hypothesis Testing, Regression Analysis, Statistical Programming, R (Software), Probability Distribution, Statistical Analysis, R Programming, Data Import/Export, Statistical Software, Probability & Statistics, Statistical Modeling, Statistical Methods, Tidyverse (R Package), Plot (Graphics), Statistics, Data Manipulation, Data Analysis, Statistical Inference, Data Wrangling

    4.8
    Rating, 4.8 out of 5 stars
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    6 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 Tableau: Tableau Learning Partner
  • Statistics and Data Analysis with Excel, Part 2: University of Colorado Boulder
  • The Path to Insights: Data Models and Pipelines: Google
  • Introduction to Data Analysis Using Python: Google
  • Understanding Clinical Research: Behind the Statistics: University of Cape Town
  • IBM & Darden Digital Strategy: IBM
  • Applied Machine Learning in Python: University of Michigan
  • Data Science Challenge: Coursera
  • Data Science with R: Duke University
  • Statistics You Need to Know for Machine Learning: SAS

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