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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
      C

      Coursera Instructor Network

      GenAI for Customer Insights

      Skills you'll gain: Customer Insights, AI Personalization, Customer experience strategy (CX), Generative AI, User Feedback, Customer Data Management, Customer Engagement, Business Intelligence, Trend Analysis, Data-Driven Decision-Making, Strategic Thinking, Predictive Analytics, Data Analysis

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      BiteSize Python: NumPy and Pandas

      Skills you'll gain: Pandas (Python Package), NumPy, Data Structures, Data Import/Export, Data Manipulation, Data Cleansing, Statistical Methods, Data Analysis, Exploratory Data Analysis

      Intermediate · Course · 1 - 3 Months

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

      University of Michigan

      Network Modeling and Analysis in Python

      Skills you'll gain: Social Network Analysis, Data Analysis, Python Programming, Jupyter, Probability Distribution

      Advanced · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      N

      Northeastern University

      Practical AI for Professionals

      Skills you'll gain: Feature Engineering, Exploratory Data Analysis, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis, Business Intelligence, Business Strategy, Machine Learning, Data-Driven Decision-Making, Computer Vision, Unstructured Data, Predictive Modeling, Deep Learning, Natural Language Processing

      Beginner · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      J

      Johns Hopkins University

      데이터 과학자의 도구 상자

      Skills you'll gain: Rmarkdown, Data Science, R (Software), GitHub, Version Control, Data Analysis, Big Data, R Programming, Git (Version Control System), Statistical Programming, Exploratory Data Analysis, Data Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      9 reviews

      Mixed · Course · 1 - 4 Weeks

    • 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
      G

      Google Cloud

      Developing Data Models with LookML 日本語版

      Skills you'll gain: Looker (Software), Data Modeling, Dashboard, Database Design, Performance Tuning, Exploratory Data Analysis, Data Integration, SQL, Integrated Development Environments, Git (Version Control System)

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      Interactive Brokers

      Business and Consumer Activity and Confidence (US)

      Skills you'll gain: Market Data, Business Metrics, Financial Trading, Market Dynamics, Business Economics, Market Trend, Consumer Behaviour, Economics, Financial Market, Technical Analysis, Investments, Trend Analysis, Forecasting

      Beginner · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      B

      Board Infinity

      AI-Driven Attribution Testing

      Skills you'll gain: A/B Testing, Responsible AI, Case Studies, Artificial Intelligence, Statistical Modeling, Marketing Effectiveness, Ethical Standards And Conduct, Strategic Planning, Marketing Analytics, Business Ethics, Predictive Modeling, Trend Analysis, Applied Machine Learning

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Employing Best Practices for Improving the Usability of LookML Projects

      Skills you'll gain: Looker (Software), Maintainability, Usability Testing, Exploratory Data Analysis, Data Dictionary, Data Literacy, Data Visualization, Data Analysis

      Intermediate · Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      S

      Simplilearn

      Strategies for Paid Campaigns

      Skills you'll gain: Google Analytics, Marketing Budgets, Pay Per Click Advertising, Digital Marketing, Paid media, Google Ads, Marketing Strategies, Digital Advertising, Driving engagement, Campaign Management, Web Analytics, Online Advertising, Advertising Campaigns, Budget Management, Bidding, Marketing Analytics, Lead Generation, Facebook, A/B Testing, Consumer Behaviour

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Minnesota

      Causal Inference Project Ideation

      Skills you'll gain: Experimentation, Research Design, A/B Testing, Business Analysis, Analytical Skills, Complex Problem Solving, Statistical Inference, Business Priorities, Data Ethics, Prioritization, Project Planning

      Beginner · Course · 1 - 3 Months

    Searches related to statistics

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    1…107108109…116

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

    • GenAI for Customer Insights: Coursera Instructor Network
    • BiteSize Python: NumPy and Pandas: University of Colorado Boulder
    • Network Modeling and Analysis in Python: University of Michigan
    • Practical AI for Professionals: Northeastern University
    • 데이터 과학자의 도구 상자: Johns Hopkins University
    • Machine/Deep Learning for Mining Quality Prediction-Enhanced: Coursera Project Network
    • Developing Data Models with LookML 日本語版: Google Cloud
    • Business and Consumer Activity and Confidence (US): Interactive Brokers
    • AI-Driven Attribution Testing: Board Infinity
    • Employing Best Practices for Improving the Usability of LookML Projects: Google Cloud

    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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