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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
      Free
      C

      Coursera Project Network

      TensorFlow Prediction: Identify Penguin Species

      Skills you'll gain: Data Processing, Tensorflow, Applied Machine Learning, Feature Engineering, Data Cleansing, Classification And Regression Tree (CART), Data Manipulation, Machine Learning, Predictive Modeling, Random Forest Algorithm, Pandas (Python Package), Data Analysis, Exploratory Data Analysis

      Intermediate · Guided Project · Less Than 2 Hours

    • G

      Google Cloud

      Bracketology with Google Machine Learning

      Skills you'll gain: Applied Machine Learning, Feature Engineering, Data Transformation, Big Data, Google Cloud Platform, Data Manipulation, Predictive Analytics, Machine Learning, Exploratory Data Analysis, SQL

      Beginner · Project · Less Than 2 Hours

    • Status: Preview
      Preview
      F

      Fundação Instituto de Administração

      Análise de Segmentação de Mercado

      Skills you'll gain: Exploratory Data Analysis, Customer Analysis, Market Analysis, Marketing Analytics, Big Data, Data Mining, Analytics, Target Market, Data Analysis, Target Audience, R Programming, Marketing, Unsupervised Learning, Machine Learning Algorithms, Business Strategy, Statistical Modeling, Consumer Behaviour, Data Visualization

      Beginner · Course · 1 - 4 Weeks

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

      University of Michigan

      Applied Unsupervised Learning in Python

      Skills you'll gain: Unsupervised Learning, Anomaly Detection, Supervised Learning, Python Programming, Exploratory Data Analysis

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Creating a Looker Modeled Query and Working with Quick Start

      Skills you'll gain: Looker (Software), Pivot Tables And Charts, Dashboard, Data Modeling, Exploratory Data Analysis, Data Analysis, Query Languages

      Beginner · Project · Less Than 2 Hours

    • 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: Free
      Free
      C

      Coursera Project Network

      Product Recommender System: OpenAI Text Embedding

      Skills you'll gain: AI Personalization, Data Analysis, Generative AI, Exploratory Data Analysis, OpenAI, Data Manipulation, Prototyping, Text Mining, Pandas (Python Package), Applied Machine Learning, Interactive Data Visualization, Scientific Visualization, Python Programming, Dimensionality Reduction, NumPy

      Intermediate · Guided Project · Less Than 2 Hours

    • 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

    • Status: Free Trial
      Free Trial
      O

      O.P. Jindal Global University

      Unsupervised Learning and Its Applications in Marketing

      Skills you'll gain: Anomaly Detection, Dimensionality Reduction, Unsupervised Learning, Customer Analysis, Marketing Analytics, Data Mining, Customer Insights, Applied Machine Learning, Machine Learning Algorithms, Scikit Learn (Machine Learning Library), Marketing, Unstructured Data, Statistical Machine Learning, Target Audience, Python Programming, Market Analysis, Exploratory Data Analysis, Data-Driven Decision-Making, Algorithms, Artificial Neural Networks

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      A

      Arizona State University

      Dark Data Migration and Architecture

      Skills you'll gain: Data Transformation, Engineering Management, Data-Driven Decision-Making, Computational Thinking, Exploratory Data Analysis, Data Storytelling, Data Integration, Capacity Management, Data Analysis, Data Warehousing, Data Strategy, Data Management, Data Lakes, Unstructured Data, Business Intelligence, Data Governance, Data Access, Data Literacy, Solution Design, Data Quality

      Beginner · Specialization · 3 - 6 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

    • 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

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    1…103104105…115

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

    • TensorFlow Prediction: Identify Penguin Species: Coursera Project Network
    • Bracketology with Google Machine Learning: Google Cloud
    • Análise de Segmentação de Mercado: Fundação Instituto de Administração
    • Applied Unsupervised Learning in Python: University of Michigan
    • Creating a Looker Modeled Query and Working with Quick Start: Google Cloud
    • Network Modeling and Analysis in Python: University of Michigan
    • Product Recommender System: OpenAI Text Embedding : Coursera Project Network
    • PySpark Foundations: Process, analyze, and summarize data: Coursera Project Network
    • Unsupervised Learning and Its Applications in Marketing: O.P. Jindal Global University
    • Dark Data Migration and Architecture: Arizona State University

    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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