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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: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Data Wrangling with Python Project

      Skills you'll gain: Exploratory Data Analysis, Data Wrangling, Data Integration, Data Processing, Data Collection, Data Validation, Data Cleansing, Data Quality, Data Analysis, Data Manipulation, Data Transformation, Pivot Tables And Charts, Statistical Visualization, Data Visualization, Statistical Analysis, Data Mining, Dimensionality Reduction

      Intermediate · Course · 1 - 3 Months

    • 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: Free Trial
      Free Trial
      I

      Interactive Brokers

      Introduction to Momentum Investing

      Skills you'll gain: Market Trend, Technical Analysis, Risk Management, Market Data, Trend Analysis, Investment Management, Investments, Financial Trading, Portfolio Management, Equities

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Data Acquisition, Risk, and Estimation

      Skills you'll gain: Sampling (Statistics), Engineering Management, Estimation, Statistical Methods, Leadership and Management, Technical Management, Statistical Software, Leadership, Data Collection, Quantitative Research, Data Analysis, Data-Driven Decision-Making, Statistical Analysis, Statistical Hypothesis Testing, Statistical Inference, Risk Analysis, Probability & Statistics, Risk Management, Business Analysis

      Intermediate · 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), Probability Distribution, R Programming, Bayesian Statistics, Data Analysis, Probability, Statistics, Statistical Analysis, Descriptive Statistics, Statistical Inference

      Beginner · Course · 1 - 3 Months

    • 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

    • Status: Preview
      Preview
      E

      Edureka

      Generative AI's Applications in Marketing Analytics

      Skills you'll gain: Data Ethics, Generative AI, Marketing Analytics, Marketing Effectiveness, Feature Engineering, Law, Regulation, and Compliance, Personally Identifiable Information, Predictive Analytics, Customer Analysis, Data-Driven Decision-Making, Emerging Technologies, Artificial Intelligence, Exploratory Data Analysis

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Getting Started with Neo4J Enterprise on Google Cloud

      Skills you'll gain: Query Languages, Google Cloud Platform, NoSQL, Cloud Storage, Exploratory Data Analysis, Data Import/Export, Cloud Computing, Data Analysis

      Beginner · Project · Less Than 2 Hours

    • P

      Packt

      Clustering and Classification with Machine Learning in R

      Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Supervised Learning, R Programming, Applied Machine Learning, Tidyverse (R Package), Machine Learning, Data Science, Ggplot2, Exploratory Data Analysis, Classification And Regression Tree (CART), Feature Engineering, Random Forest Algorithm, Data Processing, Statistical Programming, Predictive Modeling, Data Manipulation, Regression Analysis

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Minnesota

      Social Determinants of Health: Health Care Systems

      Skills you'll gain: Health Equity, Health Disparities, Health Systems, Public Health, Healthcare Ethics, Public Health and Disease Prevention, Health Policy, Data Analysis, Community Health, Data Ethics, Correlation Analysis, Patient Education and Support, Heat Maps, Mental and Behavioral Health, Data Visualization, Health Informatics, Trauma Care, Mental Health, Socioeconomics

      Beginner · Course · 1 - 3 Months

    • Status: Preview
      Preview
      U

      Universidades Anáhuac

      Ciencia de Datos Aplicada al Marketing

      Skills you'll gain: Regression Analysis, Marketing Analytics, Data Mining, Data-Driven Decision-Making, Business Intelligence, Target Market, Customer Analysis, SPSS, Data Analysis, Statistical Analysis, Market Research, Consumer Behaviour, Microsoft Excel

      Beginner · Course · 1 - 3 Months

    Searches related to statistics

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    statistics with r
    statistics for data science
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    statistics with python
    statistics for data science with python
    statistics foundations
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    1…939495…109

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

    • 파이썬의 응용 소셜 네트워크 분석: University of Michigan
    • Data Wrangling with Python Project: University of Colorado Boulder
    • Data Catalog: Qwik Start: Google Cloud
    • Introduction to Momentum Investing: Interactive Brokers
    • Data Acquisition, Risk, and Estimation: University of Colorado Boulder
    • R을 사용한 확률 및 데이터 소개: Duke University
    • Fundamentals of entrepreneurship in the family business: Tecnológico de Monterrey
    • Generative AI's Applications in Marketing Analytics: Edureka
    • Getting Started with Neo4J Enterprise on Google Cloud: Google Cloud
    • Clustering and Classification with Machine Learning in R: 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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