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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


  • E

    Edureka

    Applied Machine Learning with Python

    Skills you'll gain: Model Evaluation, Supervised Learning, Machine Learning Methods, AI Personalization, Classification Algorithms, Machine Learning, Model Training, Logistic Regression, Model Optimization, Data Analysis, Driving engagement, Persona (User Experience)

    Intermediate · Course · 1 - 4 Weeks

  • U

    Universidad Nacional Autónoma de México

    Python: de usuario a explorador de datos

    Skills you'll gain: Matplotlib, Extract, Transform, Load, Plot (Graphics), Pandas (Python Package), NumPy, Exploratory Data Analysis, Time Series Analysis and Forecasting, Data Visualization Software, Data Science, Package and Software Management, Graphing, Data Analysis, Data Import/Export, Python Programming, Data Manipulation, Numerical Analysis

    3.8
    Rating, 3.8 out of 5 stars
    ·
    20 reviews

    Beginner · Course · 1 - 3 Months

  • U

    University of Pennsylvania

    How to Use Data

    Skills you'll gain: Data Storytelling, Data Presentation, Feature Engineering, Data Visualization Software, Unsupervised Learning, SQL, Data Analysis, Model Evaluation, Seaborn, Data Visualization, Tableau Software, Predictive Modeling, Exploratory Data Analysis, Predictive Analytics, Analytics, Presentations, Database Management, Advanced Analytics, Data Science, Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    6 reviews

    Beginner · Specialization · 1 - 3 Months

  • S

    Sungkyunkwan University

    Machine Learning Algorithms

    Skills you'll gain: Machine Learning Algorithms, Decision Tree Learning, Classification Algorithms, Statistical Machine Learning, Unsupervised Learning, Machine Learning, Supervised Learning, Python Programming, Algorithms, Applied Machine Learning, Linear Algebra, Bayesian Statistics, Probability & Statistics

    3.7
    Rating, 3.7 out of 5 stars
    ·
    9 reviews

    Mixed · Course · 1 - 4 Weeks

  • S

    SkillUp

    Data Science for Healthcare

    Skills you'll gain: Model Training, Decision Intelligence, Machine Learning Algorithms, Forecasting, Classification Algorithms, Dimensionality Reduction, Embeddings

    Intermediate · Specialization · 1 - 3 Months

  • E

    EDUCBA

    Data Analysis with Minitab: Analyze & Apply

    Skills you'll gain: Minitab, Data Analysis, Statistical Hypothesis Testing, Regression Analysis, Descriptive Statistics, Statistical Analysis, Data Analysis Software, Predictive Modeling, Statistical Software, Analytics, Statistical Modeling, Descriptive Analytics, Predictive Analytics, Data-Driven Decision-Making, Statistical Reporting, Statistical Methods, Statistical Inference

    4.7
    Rating, 4.7 out of 5 stars
    ·
    15 reviews

    Mixed · Course · 1 - 4 Weeks

  • L

    L&T EduTech

    Geospatial Information Technology Essentials

    Skills you'll gain: Geospatial Information and Technology, Spatial Analysis, Geographic Information Systems, Spatial Data Analysis, GIS Software, Database Management, Database Management Systems, ArcGIS, Relational Databases, Data Modeling, Data Mapping, Data Import/Export, Open Source Technology, Web Applications, Mobile Development

    4.3
    Rating, 4.3 out of 5 stars
    ·
    12 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    PyCaret: Anatomy of Regression

    Skills you'll gain: Model Optimization, Regression Analysis, Model Training, Statistical Modeling, Predictive Modeling, Fine-tuning, Scientific Visualization, Model Evaluation, Data Preprocessing, Applied Machine Learning, Data Processing, Exploratory Data Analysis, Python Programming, Machine Learning, Development Environment

    4.5
    Rating, 4.5 out of 5 stars
    ·
    14 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • 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, Data-Driven Decision-Making, Regression Analysis, Data Science, Statistical Inference, Predictive Analytics, Rmarkdown, Statistical Methods, Applied Machine Learning, Model Evaluation, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    10 reviews

    Mixed · Course · 1 - 3 Months

  • G

    Google

    Fast-Track Data Analysis and Presentations

    Skills you'll gain: Prompt Patterns, Prompt Engineering, Responsible AI, Data Presentation, Sampling (Statistics), Excel Formulas, Spreadsheet Software, Generative AI, Data Analysis, Analytical Skills

    4.9
    Rating, 4.9 out of 5 stars
    ·
    17 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Machine Learning - Anomaly Detection via PyCaret

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

    3.8
    Rating, 3.8 out of 5 stars
    ·
    18 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • S

    SkillUp

    Data Collection and Root Cause Analysis

    Skills you'll gain: Root Cause Analysis, Correlation Analysis, Regression Analysis, Statistical Methods, Statistics, Data Collection, Descriptive Statistics, Statistical Hypothesis Testing, Data Literacy, Probability & Statistics, Statistical Analysis, Process Analysis, Six Sigma Methodology, Lean Six Sigma, Quantitative Research, Business Process Improvement, Data Analysis, Process Improvement, Statistical Inference, Operational Efficiency

    4.3
    Rating, 4.3 out of 5 stars
    ·
    14 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Applied Machine Learning with Python: Edureka
  • Python: de usuario a explorador de datos: Universidad Nacional Autónoma de México
  • How to Use Data: University of Pennsylvania
  • Machine Learning Algorithms: Sungkyunkwan University
  • Data Science for Healthcare: SkillUp
  • Data Analysis with Minitab: Analyze & Apply: EDUCBA
  • Geospatial Information Technology Essentials: L&T EduTech
  • PyCaret: Anatomy of Regression: Coursera
  • Modeling Data in the Tidyverse: Johns Hopkins University
  • Fast-Track Data Analysis and Presentations: Google

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