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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
      J

      Johns Hopkins University

      Analysis and Interpretation of Large-Scale Programs

      Skills you'll gain: Statistical Analysis, Program Evaluation, Data Analysis, Health Equity, Trend Analysis, Surveys, Research Design, Data Synthesis, Health Policy, Health Disparities, Data Quality

      Intermediate · Course · 1 - 3 Months

    • Status: Preview
      Preview
      U

      University of Michigan

      파이썬의 응용 소셜 네트워크 분석

      Skills you'll gain: Network Analysis, Graph Theory, NumPy, Pandas (Python Package), Matplotlib, Predictive Modeling, Probability & Statistics, Algorithms, Data Manipulation

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free
      Free
      C

      Coursera Project Network

      Scripting with Alteryx: Python and R for Advanced Workflows

      Skills you'll gain: Predictive Modeling, Alteryx, Applied Machine Learning, People Analytics, R Programming, Predictive Analytics, Advanced Analytics, Machine Learning, HR Tech, Data Science, Data Manipulation, Exploratory Data Analysis, Risk Modeling, Data Analysis, Data Processing, Scripting Languages, Scripting

      Intermediate · Guided Project · Less Than 2 Hours

    • G

      Google Cloud

      Data Catalog: Qwik Start

      Skills you'll gain: Metadata Management, Google Cloud Platform, Big Data, Exploratory Data Analysis, Data Management, Data Access, Cloud API

      Beginner · Project · Less Than 2 Hours

    • Status: Preview
      Preview
      U

      University of Maryland, College Park

      Cómo combinar y analizar datos complejos

      Skills you'll gain: Statistical Programming, Data Ethics, Sampling (Statistics), Data Analysis Software, R Programming, Statistical Analysis, Statistical Modeling, Descriptive Statistics, Stata, Statistical Methods, Data Integration, Probability & Statistics, Analysis, Regression Analysis, Information Privacy

      Mixed · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      How to find audience interests with Meta Business Suite

      Skills you'll gain: Customer Insights, Facebook, Target Audience, Data Import/Export, Dashboard, Market Research, Social Media, Business Software, Online Advertising

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Advanced Techniques in Data Visualization

      Skills you'll gain: Interactive Data Visualization, Color Theory, Data Visualization Software, Visualization (Computer Graphics), Data Storytelling, Tree Maps, Geospatial Information and Technology, Spatial Analysis, Heat Maps, Network Analysis, Text Mining, Data Mapping, Unstructured Data

      Intermediate · Course · 1 - 3 Months

    • Status: Preview
      Preview
      D

      Duke University

      데이터 중심 기업을 위한 비즈니스 지표

      Skills you'll gain: Business Metrics, Analytics, Performance Measurement, Business Analytics, Business Intelligence, Key Performance Indicators (KPIs), Data Analysis, Business Analysis, Microsoft Excel, E-Commerce, Web Analytics, Cash Flows, Financial Services, Data-Driven Decision-Making, Big Data

      Mixed · Course · 1 - 3 Months

    • Status: Preview
      Preview
      D

      Duke University

      R을 사용한 확률 및 데이터 소개

      Skills you'll gain: Sampling (Statistics), Exploratory Data Analysis, Probability Distribution, R Programming, Probability, Data Collection, Bayesian Statistics, Data Analysis, Statistical Analysis, Statistics, Descriptive Statistics, Correlation Analysis, Box Plots

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      P

      Packt

      Deep Learning with Keras and Practical Applications

      Skills you'll gain: Exploratory Data Analysis, Keras (Neural Network Library), Deep Learning, Data Processing, Image Analysis, Data Analysis, Artificial Neural Networks, Feature Engineering, Computer Vision, Applied Machine Learning, Predictive Modeling, Machine Learning, Performance Tuning

      Intermediate · Course · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      Interactive Brokers

      Economics - Employment and the Labor Market (US)

      Skills you'll gain: Demography, Market Dynamics, Labor Relations, Supply And Demand, Business Economics, Consumer Behaviour, Economics, Workforce Management, International Relations, Public Policies, Analysis, Trend Analysis, Forecasting

      Beginner · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      S

      SAS

      머신 러닝 자세히 알아보기: 기술적 팁, 요령, 그리고 함정

      Skills you'll gain: Machine Learning, Data Ethics, Supervised Learning, Machine Learning Algorithms, Applied Machine Learning, Predictive Modeling, Technical Design, Artificial Intelligence, Feature Engineering, Decision Tree Learning, Deep Learning, Data Analysis, Correlation Analysis, Regression Analysis, Statistical Analysis, Artificial Neural Networks

      Beginner · Course · 1 - 4 Weeks

    Searches related to statistics

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    1…969798…112

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

    • Analysis and Interpretation of Large-Scale Programs: Johns Hopkins University
    • 파이썬의 응용 소셜 네트워크 분석: University of Michigan
    • Scripting with Alteryx: Python and R for Advanced Workflows: Coursera Project Network
    • Data Catalog: Qwik Start: Google Cloud
    • Cómo combinar y analizar datos complejos: University of Maryland, College Park
    • How to find audience interests with Meta Business Suite: Coursera Project Network
    • Advanced Techniques in Data Visualization: Johns Hopkins University
    • 데이터 중심 기업을 위한 비즈니스 지표: Duke University
    • R을 사용한 확률 및 데이터 소개: Duke University
    • Deep Learning with Keras and Practical Applications: Packt

    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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