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    • Statistics

    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: Preview
      Preview
      U

      University of Michigan

      파이썬의 응용 소셜 네트워크 분석

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

      Intermediate · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      U

      University of Maryland, College Park

      Cómo combinar y analizar datos complejos

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

      Mixed · Course · 1 - 4 Weeks

    • 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: New
      New
      Status: Free
      Free
      C

      Coursera Project Network

      Scripting with Alteryx: Python and R for Advanced Workflows

      Skills you'll gain: Alteryx, Predictive Modeling, Scripting, R Programming, Predictive Analytics, Data Science, Advanced Analytics, Trend Analysis, Exploratory Data Analysis, Applied Machine Learning, Data Manipulation, Data Analysis, Employee Retention, Data Transformation, Risk Modeling, Machine Learning

      Intermediate · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      How to find audience interests with Meta Business Suite

      Skills you'll gain: Facebook, Target Audience, Customer Insights, Online Advertising, Advertising Campaigns, Digital Advertising, Advertising, Market Opportunities, Business Metrics, Content Performance Analysis, Data Import/Export

      Beginner · Guided Project · Less Than 2 Hours

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

      Case Western Reserve University

      Basic Principles of Geostatistical Geospatial Modeling

      Skills you'll gain: Geostatistics, Exploratory Data Analysis, Spatial Data Analysis, Spatial Analysis, Geospatial Mapping, Geospatial Information and Technology, Statistical Methods, Statistical Modeling, R Programming, Statistical Analysis, Probability & Statistics, Descriptive Statistics, Data Analysis, Regression Analysis, Correlation Analysis, Data Validation, Histogram, Box Plots, Simulation and Simulation Software

      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), Data Processing, Image Analysis, Deep Learning, Artificial Neural Networks, Tensorflow, Applied Machine Learning, Computer Vision, Predictive Modeling, Supervised Learning, Machine Learning, Data Visualization Software, Performance Tuning

      Intermediate · Course · 3 - 6 Months

    • Status: Preview
      Preview
      D

      Duke University

      데이터 중심 기업을 위한 비즈니스 지표

      Skills you'll gain: Business Metrics, Business Analytics, Analytics, Business Intelligence, Tableau Software, Cash Flows, Big Data, Performance Measurement, Key Performance Indicators (KPIs), Spreadsheet Software, Data Analysis, Data-Driven Decision-Making, Web Analytics, Market Share, E-Commerce

      Mixed · Course · 1 - 3 Months

    • Status: Preview
      Preview
      D

      Duke University

      R을 사용한 확률 및 데이터 소개

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

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      C

      Corporate Finance Institute

      Classification - Fundamentals & Practical Applications

      Skills you'll gain: Machine Learning Algorithms, Predictive Modeling, Applied Machine Learning, Classification And Regression Tree (CART), Supervised Learning, Data Modeling, Analytics, Data Analysis, Feature Engineering, Regression Analysis, Machine Learning, Scikit Learn (Machine Learning Library), Performance Metric, Exploratory Data Analysis

      Advanced · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Machine/Deep Learning for Mining Quality Prediction-Enhanced

      Skills you'll gain: Exploratory Data Analysis, Regression Analysis, Predictive Modeling, Applied Machine Learning, Data Manipulation, Data Analysis, Random Forest Algorithm, Machine Learning, Decision Tree Learning, Machine Learning Algorithms, Data Visualization Software, Artificial Neural Networks, Deep Learning, Statistical Methods, Python Programming

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      T

      Tecnológico de Monterrey

      Fundamentals of entrepreneurship in the family business

      Skills you'll gain: Value Propositions, Entrepreneurship, Ideation, Business Modeling, Sales Presentations, Innovation, New Business Development, Business Planning, Presentations, Business Strategies, Market Research, Trend Analysis

      Advanced · Course · 1 - 3 Months

    Searches related to statistics

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

    • 파이썬의 응용 소셜 네트워크 분석: University of Michigan
    • Cómo combinar y analizar datos complejos: University of Maryland, College Park
    • Data Catalog: Qwik Start: Google Cloud
    • Scripting with Alteryx: Python and R for Advanced Workflows: Coursera Project Network
    • How to find audience interests with Meta Business Suite: Coursera Project Network
    • Basic Principles of Geostatistical Geospatial Modeling: Case Western Reserve University
    • Deep Learning with Keras and Practical Applications: Packt
    • 데이터 중심 기업을 위한 비즈니스 지표: Duke University
    • R을 사용한 확률 및 데이터 소개: Duke University
    • Classification - Fundamentals & Practical Applications: Corporate Finance Institute

    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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