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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

    • G

      Google Cloud

      Creating a Data Transformation Pipeline with Cloud Dataprep

      Skills you'll gain: Data Manipulation, Data Processing, Data Pipelines, Data Transformation, Data Quality, Data Cleansing, Data Import/Export, Extract, Transform, Load, Exploratory Data Analysis, Big Data, Google Cloud Platform, Google Analytics

      Intermediate · Project · Less Than 2 Hours

    • P

      Packt

      Qlik Sense - Advanced

      Skills you'll gain: Spatial Analysis, Geographic Information Systems, Scripting, Geospatial Mapping, Dashboard, Data Visualization Software, Data Processing, Interactive Data Visualization, Data Manipulation, Cascading Style Sheets (CSS)

      Intermediate · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      D

      Duke University

      데이터 중심 기업을 위한 비즈니스 지표

      Skills you'll gain: Business Metrics, Analytics, Business Analytics, Business Intelligence, Performance Metric, Marketing Analytics, Big Data, Key Performance Indicators (KPIs), Data Analysis, Web Analytics, Case Studies, Data-Driven Decision-Making, Cash Flows

      Mixed · Course · 1 - 3 Months

    • 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: 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: 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

    • G

      Google Cloud

      Building Demand Forecasting with BigQuery ML

      Skills you'll gain: Time Series Analysis and Forecasting, Forecasting, Google Cloud Platform, Predictive Modeling, Big Data, Data Analysis, Data Analysis Software, Data Manipulation, Exploratory Data Analysis, Cloud Storage

      Beginner · Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Crea un perfil de negocios en Twitter

      Skills you'll gain: Trend Analysis, Social Media, Social Media Strategy, Social Media Marketing, Market Trend, Account Management, User Accounts, Marketing Communications

      Beginner · Guided Project · Less Than 2 Hours

    • 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

    • G

      Google Cloud

      Exploring the Lineage of Data with Cloud Data Fusion

      Skills you'll gain: Google Cloud Platform, Data Pipelines, Data Migration, Data Lakes, Data Integration, Data Transformation, Exploratory Data Analysis, Cloud Management, Data Management, DevOps

      Advanced · Project · Less Than 2 Hours

    • 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

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    1…105106107…115

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

    • Creating a Data Transformation Pipeline with Cloud Dataprep: Google Cloud
    • Qlik Sense - Advanced: Packt
    • 데이터 중심 기업을 위한 비즈니스 지표: Duke University
    • TensorFlow Prediction: Identify Penguin Species: Coursera Project Network
    • Bracketology with Google Machine Learning: Google Cloud
    • Creating a Looker Modeled Query and Working with Quick Start: Google Cloud
    • Product Recommender System: OpenAI Text Embedding : Coursera Project Network
    • Building Demand Forecasting with BigQuery ML: Google Cloud
    • Crea un perfil de negocios en Twitter: Coursera Project Network
    • 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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