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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


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    Politecnico di Milano

    Derivatives: a guide to calculation

    Skills you'll gain: ChatGPT, Calculus, Derivatives, Mathematical Software, Advanced Mathematics, Applied Mathematics, Mathematics Education, Machine Learning Algorithms, Algebra, Geometry, Mathematical Theory & Analysis

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
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    Google Cloud

    Creating a Business Value with Data and Looker 日本語版

    Skills you'll gain: Looker (Software), Data Modeling, Digital Transformation, Real Time Data, Dashboard, Data Governance, Google Cloud Platform, Data Warehousing, Data Management, Cloud Storage, Pivot Tables And Charts, Data Transformation, Data Analysis, Data Visualization Software, Big Data, Analytics, Data Sharing, Database Design, Performance Tuning, Exploratory Data Analysis

    4.1
    Rating, 4.1 out of 5 stars
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    14 reviews

    Intermediate · Specialization · 3 - 6 Months

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    Google Cloud

    Créer des lacs de données et des entrepôts de données sur Google Cloud

    Skills you'll gain: Data Lakes, Data Governance, Operational Databases, Metadata Management, Google Cloud Platform, Data Management, Data Architecture, Data Warehousing, Advanced Analytics, Cloud Storage, Data Integration, Data Security, Analytics, Data Processing, Applied Machine Learning

    4.8
    Rating, 4.8 out of 5 stars
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    11 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    University of Glasgow

    Machine Learning and its Applications

    Skills you'll gain: Data Preprocessing, Model Evaluation, Classification Algorithms, Artificial Intelligence and Machine Learning (AI/ML)

    5
    Rating, 5 out of 5 stars
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    47 reviews

    Beginner · Course · 1 - 3 Months

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    U

    University of Maryland, College Park

    Cómo manejar datos faltantes

    Skills you'll gain: Sampling (Statistics), Data Analysis Software, Stata, Data Manipulation, Statistical Analysis, Statistical Software, Statistical Methods, Regression Analysis, Data Integrity, R (Software), R Programming, Statistical Modeling

    Mixed · Course · 1 - 3 Months

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    EDUCBA

    Microsoft DirectX 3D Graphics Development

    Skills you'll gain: Computer Graphics, 3D Assets, Visualization (Computer Graphics), Computer Graphic Techniques, Application Development, C++ (Programming Language), Software Design, Microsoft Windows, Software Architecture, Application Lifecycle Management, Context Management, System Configuration, Debugging, Mathematical Theory & Analysis, Data Structures, Applied Mathematics, Linear Algebra, Algebra

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    Coursera

    GenAI and Model Selection

    Skills you'll gain: Generative AI, Generative Adversarial Networks (GANs), Applied Machine Learning, Large Language Modeling, Strategic Decision-Making, Systems Integration, Scalability, Innovation

    Intermediate · Course · 1 - 4 Weeks

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    Packt

    Linux for Cloud and DevOps Engineers

    Skills you'll gain: Linux Administration, Package and Software Management, Linux, User Accounts, Operating System Administration, System Monitoring, Linux Commands, Amazon Web Services, Unix Commands, Network Troubleshooting, File Management, Command-Line Interface, File Systems, Amazon Elastic Compute Cloud, TCP/IP, Systems Administration, Shell Script, General Networking, Service Management, Software Installation

    Beginner · Course · 1 - 3 Months

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    EDUCBA

    Python: Logistic Regression & Supervised ML

    Skills you'll gain: Model Evaluation, Feature Engineering, Supervised Learning, Exploratory Data Analysis, Classification Algorithms, Machine Learning Algorithms, Applied Machine Learning, Decision Tree Learning, Logistic Regression, Predictive Modeling, Data Analysis, Scikit Learn (Machine Learning Library), Data Preprocessing, Pandas (Python Package), NumPy, Data Cleansing

    4.4
    Rating, 4.4 out of 5 stars
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    17 reviews

    Mixed · Course · 1 - 4 Weeks

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    Packt

    A Practical Approach to Timeseries Forecasting Using Python

    Skills you'll gain: Recurrent Neural Networks (RNNs), Forecasting, Statistical Modeling, Model Evaluation, Feature Engineering, Data Visualization Software

    Intermediate · Course · 1 - 3 Months

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    Google Cloud

    Building Demand Forecasting with BigQuery ML

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

    Beginner · Project · Less Than 2 Hours

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    U

    University of Washington

    머신 러닝 기초: 사례 연구 접근 방식

    Skills you'll gain: Model Evaluation, Regression Analysis, Applied Machine Learning, Machine Learning, Deep Learning, Jupyter, Supervised Learning, Predictive Analytics, Classification Algorithms, Image Analysis, Unsupervised Learning, Computer Vision, Text Mining, Natural Language Processing, Python Programming

    Mixed · Course · 1 - 3 Months

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

  • Derivatives: a guide to calculation: Politecnico di Milano
  • Creating a Business Value with Data and Looker 日本語版: Google Cloud
  • Créer des lacs de données et des entrepôts de données sur Google Cloud: Google Cloud
  • Machine Learning and its Applications: University of Glasgow
  • Cómo manejar datos faltantes: University of Maryland, College Park
  • Microsoft DirectX 3D Graphics Development: EDUCBA
  • GenAI and Model Selection: Coursera
  • Linux for Cloud and DevOps Engineers: Packt
  • Python: Logistic Regression & Supervised ML: EDUCBA
  • A Practical Approach to Timeseries Forecasting Using Python: Packt

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