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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


  • 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
    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

  • 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

  • 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
    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

  • 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: 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

    3.8
    Rating, 3.8 out of 5 stars
    ·
    32 reviews

    Intermediate · Specialization · 3 - 6 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

  • Status: Free Trial
    Free Trial
    I

    IBM

    Search Engine Optimization and Content Marketing

    Skills you'll gain: Web Analytics and SEO, Search Engine Optimization, Content Marketing, Web Analytics, Blogs, Search Engine Marketing, Content Creation, MarTech, Marketing Strategy and Techniques, Digital Marketing, Growth Strategies, Content Strategy, Market Research

    4.8
    Rating, 4.8 out of 5 stars
    ·
    19 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Modern Topics in Condensed Matter Physics

    Skills you'll gain: Advanced Mathematics, Materials science, Physics, Physical Science, Mathematical Modeling

    4.9
    Rating, 4.9 out of 5 stars
    ·
    12 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    O

    O.P. Jindal Global University

    Machine Learning for Marketing

    Skills you'll gain: Marketing Analytics, Anomaly Detection, Digital Marketing, Web Analytics, Digital Advertising, Dimensionality Reduction, Unsupervised Learning, Customer Analysis, Search Engine Marketing, Supervised Learning, Online Advertising, Customer Retention, Text Mining, Predictive Analytics, Search Engine Optimization, Web Analytics and SEO, Google Ads, Customer Insights, Google Analytics, Data Ethics

    3.7
    Rating, 3.7 out of 5 stars
    ·
    18 reviews

    Beginner · Specialization · 3 - 6 Months

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

  • Machine Learning with PySpark: Customer Churn Analysis: Coursera
  • Splunk Administration and Advanced Topics: EDUCBA
  • Interpretable Machine Learning Applications: Part 2: Coursera
  • Alteryx for Beginners: Packt
  • Applying Python for Data Analysis: Coursera
  • Algoritmos de negociación basados en machine learning​: Universidad de los Andes
  • Researcher's Guide to Omic Data: Fred Hutchinson Cancer Center
  • Where, Why, and How of Lambda Functions in Python : Coursera
  • أساسيات تحليل البيانات باستخدام بايثون وباندا: Coursera
  • Search Engine Optimization and Content Marketing: IBM

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