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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: New
      New
      P

      Packt

      A Practical Approach to Timeseries Forecasting Using Python

      Skills you'll gain: Forecasting, Statistical Modeling, Machine Learning Methods, Feature Engineering, Data Visualization Software

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      PySpark Foundations: Process, analyze, and summarize data

      Skills you'll gain: PySpark, Apache Spark, Data Visualization Software, Data Analysis, Exploratory Data Analysis, Data Cleansing, Data Processing, Data Manipulation, Big Data, Jupyter, Pandas (Python Package), People Analytics

      Intermediate · Guided Project · Less Than 2 Hours

    • 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

      4.9
      Rating, 4.9 out of 5 stars
      ·
      7 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Analysis and Interpretation of Large-Scale Programs

      Skills you'll gain: Program Evaluation, Health Equity, Quantitative Research, Data Analysis, Statistical Analysis, Analysis, Statistical Reporting, Data Collection, Sampling (Statistics), Public Health and Disease Prevention, STATA (Software), Data Quality, Research Design

      Intermediate · Course · 1 - 3 Months

    • Status: Preview
      Preview
      U

      Università di Napoli Federico II

      Contemporary Issues in World Politics

      Skills you'll gain: Political Sciences, International Relations, World History, Diplomacy, Social Sciences, Public Safety and National Security, European History, Environmental Issue, Conflict Management, Climate Change Programs, Governance, Economics, Trend Analysis, Security Strategy

      Beginner · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Financial Analytics in RStudio: Identify Profit Drivers

      Skills you'll gain: Operational Analysis, Performance Analysis, Performance Improvement, Data Import/Export, Variance Analysis, Exploratory Data Analysis, Data Analysis, Financial Analysis, Operations Management, Operating Expense, Plot (Graphics), Waterfall Methodology

      Intermediate · Guided Project · Less Than 2 Hours

    • G

      Google Cloud

      Creating a Data Warehouse Through Joins and Unions

      Skills you'll gain: Data Warehousing, Data Integration, Database Administration, SQL, Relational Databases, Data Analysis, Exploratory Data Analysis, Google Analytics

      4
      Rating, 4 out of 5 stars
      ·
      8 reviews

      Beginner · 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

      4.3
      Rating, 4.3 out of 5 stars
      ·
      6 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Preview
      Preview
      J

      Johns Hopkins University

      Ein Crashkurs in Datenwissenschaft

      Skills you'll gain: Data Science, Data Management, Data Analysis, Data-Driven Decision-Making, Data Presentation, Exploratory Data Analysis, Machine Learning, Predictive Modeling, Statistical Inference

      Mixed · 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 Ethics, R Programming, Surveys, Informed Consent, Statistical Methods, Statistical Analysis, Sampling (Statistics), Regression Analysis, Statistical Modeling, Descriptive Statistics

      Mixed · Course · 1 - 4 Weeks

    • 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, Social Determinants Of Health, Healthcare Ethics, Health Policy, Data Analysis, Health Care, Substance Abuse, Data Ethics, Correlation Analysis, Heat Maps, Patient Education And Counseling, Community Mental Health Services, Data Visualization, Health Informatics, Trauma Care, Mental Health

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Pennsylvania

      Intro to Data Analytics, SQL, and EDA Using Python

      Skills you'll gain: SQL, Data Analysis, Seaborn, Exploratory Data Analysis, Analytics, Data Visualization, Data Visualization Software, Matplotlib, Data Storage, Pandas (Python Package), Big Data, Data Science, Data Management, Data Manipulation, Data Cleansing, NumPy

      Beginner · Course · 1 - 4 Weeks

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    1…9899100…116

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

    • A Practical Approach to Timeseries Forecasting Using Python: Packt
    • PySpark Foundations: Process, analyze, and summarize data: Coursera Project Network
    • Machine/Deep Learning for Mining Quality Prediction-Enhanced: Coursera Project Network
    • Analysis and Interpretation of Large-Scale Programs: Johns Hopkins University
    • Contemporary Issues in World Politics: Università di Napoli Federico II
    • Financial Analytics in RStudio: Identify Profit Drivers: Coursera Project Network
    • Creating a Data Warehouse Through Joins and Unions: Google Cloud
    • How to find audience interests with Meta Business Suite: Coursera Project Network
    • Ein Crashkurs in Datenwissenschaft: Johns Hopkins University
    • Cómo combinar y analizar datos complejos: University of Maryland, College Park

    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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