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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.


More to explore:

Popular Statistics Courses and Certifications


  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    Splunk Administration and Advanced Topics

    Skills you'll gain: Splunk, Data Modeling, Role-Based Access Control (RBAC), System Monitoring, Incident Response, Computer Security Incident Management, User Accounts, Security Information and Event Management (SIEM), Authorization (Computing), Machine Learning, Event Monitoring, Systems Administration, Performance Tuning, Data Visualization, Threat Detection, Anomaly Detection, Continuous Monitoring, Correlation Analysis, Data Analysis, Authentications

    4.8
    Rating, 4.8 out of 5 stars
    ·
    49 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    CertNexus

    Follow a Machine Learning Workflow

    Skills you'll gain: Data Preprocessing, Data Analysis, Data Collection, AI Workflows, Statistical Analysis, Model Deployment, Artificial Intelligence and Machine Learning (AI/ML), Data Cleansing, Applied Machine Learning, Predictive Modeling, Machine Learning, Model Evaluation, Descriptive Statistics, Feature Engineering, Machine Learning Algorithms, Process Management

    4.8
    Rating, 4.8 out of 5 stars
    ·
    19 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Machine Learning with PySpark: Customer Churn Analysis

    Skills you'll gain: Model Evaluation, Data Preprocessing, Exploratory Data Analysis, Feature Engineering, Model Deployment, Data Analysis, PySpark, Data Import/Export, Data Transformation, Apache Spark, Decision Tree Learning, Customer Analysis, Predictive Modeling, Predictive Analytics, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    25 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Maryland, College Park

    Foundations of Digital Marketing

    Skills you'll gain: Search Engine Marketing, Pay Per Click Advertising, Marketing Analytics, Search Engine Optimization, Web Analytics, Web Analytics and SEO, Online Advertising, Model Evaluation, Digital Marketing, Apache Hadoop, Data-Driven Decision-Making, Digital Advertising, Return On Investment, A/B Testing, Machine Learning Methods, Advertising, Analytics, Social Media Strategy, Marketing Automation, Predictive Modeling

    4.5
    Rating, 4.5 out of 5 stars
    ·
    20 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Applying Python for Data Analysis

    Skills you'll gain: Pandas (Python Package), Data Analysis, Data-Driven Decision-Making, Data Manipulation, Data Visualization, Probability & Statistics, Business Analytics, Data Transformation, Statistics, Data Visualization Software, Descriptive Statistics, Data Cleansing, Data Preprocessing, Time Series Analysis and Forecasting, Correlation Analysis, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    16 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Interpretable Machine Learning Applications: Part 2

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Data Preprocessing, Classification Algorithms, Random Forest Algorithm, Data Transformation, Regression Analysis, Feature Engineering, Decision Tree Learning, Machine Learning, Exploratory Data Analysis

    4.3
    Rating, 4.3 out of 5 stars
    ·
    25 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    F

    Fred Hutchinson Cancer Center

    Researcher's Guide to Omic Data

    Skills you'll gain: Bioinformatics, Molecular Biology, Data Processing, Data Analysis, Data Literacy, Exploratory Data Analysis, Laboratory Research, Metadata Management, Science and Research, R Programming, Spatial Data Analysis, Scientific Methods, Data Collection, Data Quality, Research, Quantitative Research, Informatics, Biology, Laboratory Techniques, Analysis

    3.7
    Rating, 3.7 out of 5 stars
    ·
    33 reviews

    Intermediate · Specialization · 3 - 6 Months

  • P

    Packt

    Alteryx for Beginners

    Skills you'll gain: Alteryx, Spatial Analysis, Data Cleansing, Data Import/Export, Data Manipulation, Geographic Information Systems, Data Wrangling, Data Preprocessing, Data Integration, Data Transformation, Data Analysis, Microsoft Excel, Text Mining, Data Visualization Software, Excel Formulas

    4.3
    Rating, 4.3 out of 5 stars
    ·
    26 reviews

    Beginner · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    Universidad de los Andes

    Algoritmos de negociación basados en machine learning​

    Skills you'll gain: Technical Analysis, Financial Trading, Financial Market, Capital Markets, Market Trend, Investments, Performance Analysis, Return On Investment, Financial Analysis, Machine Learning, Classification Algorithms, Trend Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    38 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Systems Architecture  

    Skills you'll gain: Software Architecture, Systems Development Life Cycle, Systems Architecture, Systems Thinking, Software Design Patterns, Stakeholder Communications, Systems Analysis, Data Flow Diagrams (DFDs), Application Design

    5
    Rating, 5 out of 5 stars
    ·
    11 reviews

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Where, Why, and How of Lambda Functions in Python

    Skills you'll gain: Pandas (Python Package), Data Manipulation, Jupyter, Exploratory Data Analysis, Python Programming, Computational Logic

    4.8
    Rating, 4.8 out of 5 stars
    ·
    34 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    أساسيات تحليل البيانات باستخدام بايثون وباندا

    Skills you'll gain: Pandas (Python Package), Data Analysis, Data Cleansing, Exploratory Data Analysis, Data Manipulation, Matplotlib, Jupyter, Data Visualization, NumPy, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    36 reviews

    Beginner · Guided Project · Less Than 2 Hours

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

  • Splunk Administration and Advanced Topics: EDUCBA
  • Follow a Machine Learning Workflow: CertNexus
  • Machine Learning with PySpark: Customer Churn Analysis: Coursera
  • Foundations of Digital Marketing: University of Maryland, College Park
  • Applying Python for Data Analysis: Coursera
  • Interpretable Machine Learning Applications: Part 2: Coursera
  • Researcher's Guide to Omic Data: Fred Hutchinson Cancer Center
  • Alteryx for Beginners: Packt
  • Algoritmos de negociación basados en machine learning​: Universidad de los Andes
  • Introduction to Systems Architecture  : IBM

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