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  • Applied Statistics

Applied Statistics Courses

Applied statistics courses can help you learn data analysis, hypothesis testing, regression techniques, and experimental design. You can build skills in interpreting data sets, making predictions, and communicating statistical findings effectively. Many courses introduce tools like R, Python, and Excel, that support performing statistical analyses and visualizing data.

Popular Applied Statistics Courses and Certifications


  • Status: Free Trial
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    Google Cloud

    Data Engineer, Big Data and ML on Google Cloud auf Deutsch

    Skills you'll gain: Dataflow, Google Cloud Platform, Data Pipelines, Dashboard Creation, Model Deployment, Data Preprocessing, Data Lakes, Dashboard, Tensorflow, Data Warehousing, Real Time Data, Unstructured Data, Model Training, Apache Spark, Apache Airflow, Big Data, Cloud Engineering, Applied Machine Learning, Cloud Storage, Data Storage

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
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    Google Cloud

    From Data to Insights with Google Cloud 日本語版

    Skills you'll gain: Looker (Software), Google Cloud Platform, SQL, Dashboard, Big Data, Data Visualization Software, Dashboard Creation, Interactive Data Visualization, Applied Machine Learning, Data Access, Data Transformation, Query Languages, Machine Learning, Data Cleansing, Data Preprocessing, Model Evaluation, Model Training, Data Analysis, Data Wrangling, Analytics

    4.5
    Rating, 4.5 out of 5 stars
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    13 reviews

    Beginner · Specialization · 3 - 6 Months

  • P

    Packt

    Basics of Chatbots with Machine Learning & Python

    Skills you'll gain: Natural Language Processing, Python Programming, Text Mining, Artificial Intelligence, Data Preprocessing, Machine Learning, Applied Machine Learning, Data Collection, Data Analysis

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
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    EDUCBA

    Understand and Apply AI Fundamentals with AWS

    Skills you'll gain: Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Machine Learning Methods, Responsible AI, Artificial Neural Networks, Data Ethics, Machine Learning Algorithms, AWS SageMaker, Amazon Bedrock, Machine Learning, AI literacy, Model Training, Amazon Web Services, Convolutional Neural Networks, Supervised Learning, Model Deployment, Natural Language Processing, LLM Application, Unsupervised Learning

    4.7
    Rating, 4.7 out of 5 stars
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    13 reviews

    Beginner · Course · 1 - 3 Months

  • P

    Packt

    Deep Neural Network for Beginners Using Python

    Skills you'll gain: Data Preprocessing, Deep Learning, Data Processing, Artificial Neural Networks, Logistic Regression, Applied Machine Learning, Program Development, Python Programming, Network Architecture, Model Training, Model Optimization, Machine Learning Algorithms, NumPy, Pandas (Python Package), Linear Algebra

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Dynamic Dashboards with Tableau: Advanced Sales Analysis

    Skills you'll gain: Dashboard, Dashboard Creation, Data Visualization, Interactive Data Visualization, Data Presentation, Tableau Software, Data Visualization Software, Exploratory Data Analysis, Business Intelligence, Data Analysis

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Preview
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    I

    IE Business School

    Marketing Management Essentials: Product and Branding

    Skills you'll gain: Product Lifecycle Management, Market Trend, Product Marketing, Product Strategy, Product Management, Trend Analysis, Market Analysis, Competitive Analysis, Brand Management, Branding, Strategic Marketing, Marketing Strategies

    4.5
    Rating, 4.5 out of 5 stars
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    10 reviews

    Beginner · Course · 1 - 4 Weeks

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    Imperial College London

    TensorFlow 2 시작하기

    Skills you'll gain: Keras (Neural Network Library), Tensorflow, Model Training, Model Evaluation, Deep Learning, Convolutional Neural Networks, Model Optimization, Image Analysis, Predictive Modeling, Data Preprocessing, Applied Machine Learning, Artificial Neural Networks, Computer Vision

    Intermediate · Course · 1 - 3 Months

  • Status: New
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    Status: Free Trial
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    Alex Genadinik

    Logic In Philosophy: Logical Fallacies And Common Mistakes

    Skills you'll gain: Deductive Reasoning, Logical Reasoning, Liberal Arts, Media and Communications

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Maryland, College Park

    Public Health Leadership Fundamentals

    Skills you'll gain: Empathy & Emotional Intelligence, Personal Development, Intercultural Competence, Professional Development, Initiative and Leadership, Cultural Sensitivity, Adaptability

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Packt

    Fundamentals of Oracle Database Performance Tuning

    Skills you'll gain: Oracle Databases, Performance Tuning, Application Performance Management, System Monitoring, Database Management, SQL, Database Software, Event Monitoring, Database Architecture and Administration, Software Installation

    Intermediate · Course · 1 - 3 Months

  • Status: New
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    U

    University of Glasgow

    Generative AI for Data Science

    Skills you'll gain: Responsible AI, Generative AI, Generative Model Architectures, AI literacy, Risking, AI Integrations, Data Ethics, ChatGPT, Risk Management Framework, Data Science, LLM Application, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), Data Security, Statistical Methods

    Intermediate · Course · 1 - 4 Weeks

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

  • Data Engineer, Big Data and ML on Google Cloud auf Deutsch: Google Cloud
  • From Data to Insights with Google Cloud 日本語版: Google Cloud
  • Basics of Chatbots with Machine Learning & Python: Packt
  • Understand and Apply AI Fundamentals with AWS: EDUCBA
  • Deep Neural Network for Beginners Using Python: Packt
  • Dynamic Dashboards with Tableau: Advanced Sales Analysis: Coursera
  • Marketing Management Essentials: Product and Branding: IE Business School
  • TensorFlow 2 시작하기: Imperial College London
  • Logic In Philosophy: Logical Fallacies And Common Mistakes: Alex Genadinik
  • Public Health Leadership Fundamentals: University of Maryland, College Park

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