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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: Free Trial
      Free Trial
      C

      Coursera

      Building a Real-World Data Science Solution

      Skills you'll gain: Exploratory Data Analysis, AWS SageMaker, Data Visualization, Amazon Web Services, Project Documentation, Amazon S3, Data Analysis, Feature Engineering, Applied Machine Learning, Data Science, Data Processing, Solution Design, MLOps (Machine Learning Operations), Business Intelligence, Technical Documentation, Data Pipelines, Technical Communication, Cloud Infrastructure, Project Management, Automation

      Beginner · Course · 1 - 3 Months

    • H

      H2O.ai

      DataPrep for H2O Driverless AI

      Skills you'll gain: Supervised Learning, Machine Learning, Machine Learning Algorithms, Time Series Analysis and Forecasting, Data Quality, Unsupervised Learning, Data Cleansing, Data Analysis, Feature Engineering, Pandas (Python Package), Data Transformation, Exploratory Data Analysis, Classification And Regression Tree (CART), Regression Analysis

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Natural Language Processing - Probability Models in Python

      Skills you'll gain: NumPy, Data Mining, Classification And Regression Tree (CART), Machine Learning Algorithms

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Comment configurer Facebook Analytics

      Skills you'll gain: Facebook, Online Advertising, Advertising Campaigns, Advertising, Digital Advertising, Social Media, Social Media Campaigns, Web Analytics, Marketing

      Beginner · Guided Project · Less Than 2 Hours

    • Status: New
      New
      Status: Preview
      Preview
      H

      H2O.ai

      H2O Label Genie Starter Track

      Skills you'll gain: Large Language Modeling, MLOps (Machine Learning Operations), Data Import/Export, Data Processing, Applied Machine Learning, Artificial Intelligence, Data Quality, Exploratory Data Analysis, Data Analysis, Computer Vision, Natural Language Processing

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      R

      Real Madrid Graduate School Universidad Europea

      El futuro de los medios deportivos y los retos futuros

      Skills you'll gain: Storytelling, Media and Communications, Augmented and Virtual Reality (AR/VR), Revenue Management, Brand Management, Trend Analysis, Content Strategy, Sustainability Reporting, Augmented Reality, New Product Development, Marketing Strategy and Techniques, Innovation, Digital Transformation, Game Theory, People Analytics, Metadata Management, Digital Design, Open Source Technology, 3D Modeling, Artificial Intelligence

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Suivre les actions des visiteurs du site Web à l'aide de Facebook Pixel

      Skills you'll gain: Marketing Strategies, Facebook, Web Analytics, Marketing Analytics, Social Media Marketing, Online Advertising, Business Marketing, Target Audience, Digital Marketing, Business Communication

      Beginner · Guided Project · Less Than 2 Hours

    • G

      Google Cloud

      Boost Productivity with Gemini in BigQuery - Deutsch

      Skills you'll gain: Google Gemini, Big Data, Exploratory Data Analysis, Data Analysis, Data Transformation, Generative AI, Prompt Engineering, SQL, Data Visualization Software

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Boost Productivity with Gemini in BigQuery - Français

      Skills you'll gain: Google Gemini, Data Processing, Exploratory Data Analysis, Big Data, Data Transformation, Google Cloud Platform, Interactive Data Visualization, Generative AI, Prompt Engineering, Debugging, SQL

      Beginner · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      U

      University of Maryland, College Park

      Digital Marketing 2

      Skills you'll gain: Pay Per Click Advertising, Marketing Analytics, Search Engine Optimization, Analytics, Big Data, Google Analytics, Digital Marketing, Search Engine Marketing, Paid media, Web Analytics, Web Analytics and SEO, Online Advertising, Digital Advertising, Marketing Effectiveness, A/B Testing, Applied Machine Learning, Marketing Automation, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML)

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Boost Productivity with Gemini in BigQuery - 简体中文

      Skills you'll gain: Google Gemini, Data Pipelines, Exploratory Data Analysis, Google Cloud Platform, Data Transformation, Data Analysis, Generative AI, Prompt Engineering, SQL, Natural Language Processing

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Google Cloud 数据分析功能简介

      Skills you'll gain: Looker (Software), Data-Driven Decision-Making, Data Transformation, Analytics, Data Manipulation, Data Analysis, Big Data, Google Cloud Platform, Data Processing, Dashboard, Data Visualization Software, Business Intelligence, Cloud Storage, Exploratory Data Analysis, Data Storage, Data Warehousing, SQL

      Beginner · Course · 1 - 3 Months

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

    • Building a Real-World Data Science Solution : Coursera
    • DataPrep for H2O Driverless AI: H2O.ai
    • Natural Language Processing - Probability Models in Python: Packt
    • Comment configurer Facebook Analytics: Coursera Project Network
    • H2O Label Genie Starter Track: H2O.ai
    • El futuro de los medios deportivos y los retos futuros: Real Madrid Graduate School Universidad Europea
    • Suivre les actions des visiteurs du site Web à l'aide de Facebook Pixel: Coursera Project Network
    • Boost Productivity with Gemini in BigQuery - Deutsch: Google Cloud
    • Boost Productivity with Gemini in BigQuery - Français: Google Cloud
    • Digital Marketing 2: 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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