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    Statistics Courses

    Statistics courses can help you learn how to collect, analyze, and interpret data to make informed decisions in fields like science, business, and healthcare.

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    Find the Best Statistics Course for Your Goals

    • Status: Free Trial
      Free Trial
      G

      Google

      Regression Analysis: Simplify Complex Data Relationships

      Skills you'll gain: Regression Analysis, Statistical Hypothesis Testing, Data Analysis, Advanced Analytics, Statistical Analysis, Correlation Analysis, Analytical Skills, Business Analytics, Supervised Learning, Statistical Modeling, Scikit Learn (Machine Learning Library), Variance Analysis, Predictive Modeling, Probability & Statistics, Exploratory Data Analysis, Machine Learning, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      563 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Preview
      Preview
      N

      National Taiwan University

      頑想學概率:機率一 (Probability (1))

      Skills you'll gain: Probability, Probability Distribution, Probability & Statistics, Statistics, Data Literacy

      4.8
      Rating, 4.8 out of 5 stars
      ·
      366 reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      E

      EDUCBA

      Applied Python: Web Dev, Machine Learning & Cryptography

      Skills you'll gain: Cryptography, Exploratory Data Analysis, Event-Driven Programming, Encryption, Server Side, Web Development, Regression Analysis, Apache, Web Services, Machine Learning Algorithms, Public Key Cryptography Standards (PKCS), Web Scraping, Natural Language Processing, Web Applications, Key Management, Python Programming, Predictive Modeling, Back-End Web Development, Supervised Learning, Text Mining

      Beginner · Specialization · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      C

      Coursera Instructor Network

      Harnessing LLMs: Strategy, Fine-Tuning & Evaluation

      Skills you'll gain: Prompt Engineering, LLM Application, Large Language Modeling, Responsible AI, LangChain, Generative Model Architectures, Generative AI, Application Deployment, Application Development, Technical Management, ChatGPT, Trend Analysis, Program Evaluation, Artificial Intelligence, Real Time Data, Applied Machine Learning, Data Ethics, Analytics, Business Strategy, Python Programming

      3.9
      Rating, 3.9 out of 5 stars
      ·
      59 reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Preview
      Preview
      T

      The University of Edinburgh

      Data Science in Stratified Healthcare and Precision Medicine

      Skills you'll gain: Precision Medicine, Bioinformatics, Biomedical Technology, Image Analysis, Process Driven Development, Medical Imaging, Big Data, Health Informatics, Data Science, Statistical Modeling, Machine Learning, Natural Language Processing, Probability & Statistics, Data Analysis, Text Mining, Molecular Biology, Network Analysis, Graph Theory, Python Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      334 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Preview
      Preview
      E

      EDUCBA

      Python: Logistic Regression & Supervised ML

      Skills you'll gain: Feature Engineering, Supervised Learning, Exploratory Data Analysis, Machine Learning Algorithms, Applied Machine Learning, Decision Tree Learning, Predictive Modeling, Data Analysis, Scikit Learn (Machine Learning Library), Machine Learning, Classification And Regression Tree (CART), Statistical Modeling, Pandas (Python Package), NumPy, Data Cleansing, Data Manipulation

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      AI for Medical Prognosis

      Skills you'll gain: Risk Modeling, Decision Tree Learning, Predictive Modeling, Feature Engineering, Applied Machine Learning, Random Forest Algorithm, Forecasting, Data Cleansing, Statistical Modeling, Machine Learning, Statistical Analysis, Probability & Statistics, Data Analysis, Regression Analysis, Deep Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      792 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      E

      EDUCBA

      Analyze Web Logs with Kibana & Elasticsearch

      Skills you'll gain: Kibana, Dashboard, Interactive Data Visualization, Web Analytics, Data Visualization Software, Exploratory Data Analysis, Data Analysis, Business Intelligence, Data Import/Export

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Business Analytics

      Skills you'll gain: Data Storytelling, Marketing Analytics, Data Presentation, Data Visualization, Data Governance, Business Analytics, Infographics, Data Collection, Data Quality, Data Visualization Software, Analytical Skills, Business Analysis, AI Personalization, Exploratory Data Analysis, Analytics, Regression Analysis, Robotic Process Automation, Data Analysis, Power BI, Machine Learning

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.1K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      U

      University of Colorado System

      AI Integration in Healthcare

      Skills you'll gain: Machine Learning Algorithms, Human Factors (Security), Machine Learning, Applied Machine Learning, Artificial Intelligence, Data Modeling, Supervised Learning, Predictive Modeling, Statistical Modeling, Health Informatics, Diagnostic Tests, Decision Support Systems, Unsupervised Learning, Reinforcement Learning, Data Mining, Exploratory Data Analysis, Descriptive Analytics

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Advanced Business Analytics

      Skills you'll gain: Data Storytelling, Data Presentation, Data Governance, Predictive Modeling, Data Storage Technologies, Predictive Analytics, Exploratory Data Analysis, Analytics, Business Analytics, Data Storage, Big Data, Risk Analysis, Databases, Business Intelligence, Data Visualization, Data Visualization Software, Data Analysis, Decision Making, Data Cleansing, SQL

      4.6
      Rating, 4.6 out of 5 stars
      ·
      5.2K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM Data Analyst Capstone Project

      Skills you'll gain: Dashboard, Exploratory Data Analysis, Data Wrangling, Statistical Analysis, Data Visualization, IBM Cognos Analytics, Data Manipulation, Data Collection, Data Analysis, Looker (Software), Web Scraping, Data Transformation, Box Plots, Pandas (Python Package), Scatter Plots, Histogram

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.3K reviews

      Advanced · Course · 1 - 3 Months

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    1…454647…116

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

    • Regression Analysis: Simplify Complex Data Relationships: Google
    • 頑想學概率:機率一 (Probability (1)): National Taiwan University
    • Applied Python: Web Dev, Machine Learning & Cryptography: EDUCBA
    • Harnessing LLMs: Strategy, Fine-Tuning & Evaluation: Coursera Instructor Network
    • Data Science in Stratified Healthcare and Precision Medicine: The University of Edinburgh
    • Python: Logistic Regression & Supervised ML: EDUCBA
    • AI for Medical Prognosis : DeepLearning.AI
    • Analyze Web Logs with Kibana & Elasticsearch: EDUCBA
    • Business Analytics: University of Illinois Urbana-Champaign
    • AI Integration in Healthcare: University of Colorado System

    Why Learn Statistics?

    Statistics is the science of collecting, analyzing, and interpreting data to uncover patterns and inform decisions. It’s essential in fields like business, healthcare, social science, and data analytics. Learning statistics can help you make sense of data, support evidence-based thinking, and contribute to smarter outcomes in any field.

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