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Statistics Courses

Statistics courses can help you learn data analysis, probability theory, hypothesis testing, and regression techniques. You can build skills in interpreting data sets, making informed predictions, and conducting surveys. Many courses introduce tools like R, Python, and Excel, that support performing statistical analyses and visualizing results. You'll also explore key topics such as descriptive statistics, inferential statistics, and experimental design, equipping you with the knowledge to tackle real-world data challenges.


Popular Statistics Courses and Certifications


  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Modeling Data in the Tidyverse

    Skills you'll gain: Statistical Modeling, Exploratory Data Analysis, R Programming, Predictive Modeling, Sampling (Statistics), Statistical Hypothesis Testing, Tidyverse (R Package), Data Analysis, Data Modeling, Regression Analysis, Classification And Regression Tree (CART), Statistical Inference, Statistical Analysis, Rmarkdown, Data Preprocessing, Statistical Methods, Probability & Statistics, Model Evaluation, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    10 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Preview
    Preview
    L

    LearnKartS

    Tableau for Data Visualization and Analysis

    Skills you'll gain: Geospatial Information and Technology, Trend Analysis, Complex Problem Solving

    4.6
    Rating, 4.6 out of 5 stars
    ·
    11 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    F

    Fundação Instituto de Administração

    Análise de Dados Quantitativos

    Skills you'll gain: Quantitative Research, Marketing Analytics, Market Analysis, Market Research, Exploratory Data Analysis, Strategic Marketing, Forecasting, Strategic Decision-Making, Data Analysis, Predictive Modeling, Customer Analysis, Statistical Modeling, Statistical Analysis, Correlation Analysis, Regression Analysis, Unsupervised Learning, Variance Analysis

    4.4
    Rating, 4.4 out of 5 stars
    ·
    23 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Arranging and Visualizing Data in R

    Skills you'll gain: Exploratory Data Analysis, Rmarkdown, R (Software), Tidyverse (R Package), Statistical Visualization, Data Visualization, Data Visualization Software, R Programming, Ggplot2, Data Wrangling, Scatter Plots, Data Manipulation, Histogram, Scripting, Package and Software Management, Data Import/Export

    5
    Rating, 5 out of 5 stars
    ·
    7 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    More Applied Data Science with Python

    Skills you'll gain: Unsupervised Learning, Data Mining, Social Network Analysis, ChatGPT, Embeddings, Machine Learning Methods, Data Science, Supervised Learning, Generative AI, Machine Learning, Anomaly Detection, Data Preprocessing, Data Analysis, Recurrent Neural Networks (RNNs), Data Manipulation, Python Programming, Exploratory Data Analysis, Machine Learning Algorithms, Jupyter, Classification Algorithms

    4.3
    Rating, 4.3 out of 5 stars
    ·
    8 reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Understanding Large Language Models in Business

    Skills you'll gain: Large Language Modeling, LLM Application, OpenAI API, Trend Analysis, Real Time Data, Analytics, Business Marketing, Program Development, Prompt Engineering, Business Strategy, Generative AI, ChatGPT, Technology Roadmaps, Market Trend, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Content Marketing

    4.5
    Rating, 4.5 out of 5 stars
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    13 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Naive Bayes 101: Resume Selection with Machine Learning

    Skills you'll gain: Data Visualization, Matplotlib, Plot (Graphics), Exploratory Data Analysis, Text Mining, Model Evaluation, Classification Algorithms, Applied Machine Learning, Data Cleansing, Scikit Learn (Machine Learning Library), Data Preprocessing, Natural Language Processing, Machine Learning, Unstructured Data, Data Analysis, Data Manipulation, Python Programming, Computer Science

    4.5
    Rating, 4.5 out of 5 stars
    ·
    17 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    A

    Aptly

    Search Advertising with Google

    Skills you'll gain: Google Ads, Advertising Campaigns, Pay Per Click Advertising, Search Engine Marketing, Campaign Management, Performance Analysis, Performance marketing, Keyword Research, Performance Measurement, Bidding, Online Advertising, Digital Advertising, Web Analytics, Registration, Advertising, Marketing, Performance Metric, Digital Marketing, Key Performance Indicators (KPIs), Test Planning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    11 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    Splunk Inc.

    Splunk Knowledge Manager 102

    Skills you'll gain: Data Modeling, Splunk, Pivot Tables And Charts, Data Management, Database Management, Query Languages, Data Integration, Performance Tuning, Data Science, Data Analysis, Big Data, Business Intelligence, Business Analytics, Geospatial Information and Technology, Statistics

    4.9
    Rating, 4.9 out of 5 stars
    ·
    13 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    PyCaret: Anatomy of Regression

    Skills you'll gain: Regression Analysis, Predictive Modeling, Scikit Learn (Machine Learning Library), Feature Engineering, Model Evaluation, Data Preprocessing, Applied Machine Learning, Data Visualization, Exploratory Data Analysis, Performance Tuning, Python Programming, Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    14 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    RStudio for Six Sigma - Hypothesis Testing

    Skills you'll gain: Statistical Hypothesis Testing, Logistic Regression, Correlation Analysis, Six Sigma Methodology, R (Software), R Programming, Statistical Programming, Statistical Analysis, Statistical Methods, Regression Analysis, Probability & Statistics, Data Literacy, Data Science

    4.6
    Rating, 4.6 out of 5 stars
    ·
    14 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Machine Learning - Anomaly Detection via PyCaret

    Skills you'll gain: Model Deployment, Anomaly Detection, Jupyter, Exploratory Data Analysis, Unsupervised Learning, Model Evaluation, Data Visualization, Applied Machine Learning, Machine Learning Methods, Data Preprocessing, Machine Learning

    3.8
    Rating, 3.8 out of 5 stars
    ·
    18 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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1…919293…126

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

  • Modeling Data in the Tidyverse: Johns Hopkins University
  • Tableau for Data Visualization and Analysis: LearnKartS
  • Análise de Dados Quantitativos: Fundação Instituto de Administração
  • Arranging and Visualizing Data in R : University of Michigan
  • More Applied Data Science with Python: University of Michigan
  • Understanding Large Language Models in Business: Coursera
  • Naive Bayes 101: Resume Selection with Machine Learning: Coursera
  • Search Advertising with Google: Aptly
  • Splunk Knowledge Manager 102: Splunk Inc.
  • PyCaret: Anatomy of Regression: Coursera

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