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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.


More to explore:

Popular Applied Statistics Courses and Certifications


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    Northeastern University

    Data Visualization with Python & R for Engineers

    Skills you'll gain: Data Storytelling, Data Literacy, Statistical Visualization, Data-Driven Decision-Making, Data Visualization Software, Data Preprocessing, Data Mining, Exploratory Data Analysis, Data Cleansing, Graphing, Big Data, Programming Principles, Python Programming, NumPy

    Mixed · Course · 1 - 4 Weeks

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    DeepLearning.AI

    تعزيز الشبكات العصبية : ضبط وتحسين مقياس فرط المعلمات

    Skills you'll gain: Deep Learning, Tensorflow, Data Preprocessing, Model Evaluation, Performance Tuning, Artificial Neural Networks, Applied Machine Learning, Analysis, Machine Learning Algorithms, Machine Learning, Algorithms

    Beginner · Course · 1 - 4 Weeks

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    G

    Google Cloud

    Machine Learning in the Enterprise - Français

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Data Management, Google Cloud Platform, Data Governance, Workflow Management, AI Workflows, Enterprise Modeling, Model Evaluation, Applied Machine Learning, Data Pipelines, Machine Learning

    Intermediate · Course · 1 - 3 Months

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    EDUCBA

    Pandas with Python: Analyze, Transform & Export Data

    Skills you'll gain: Pandas (Python Package), Pivot Tables And Charts, Data Manipulation, Time Series Analysis and Forecasting, Data Import/Export, Jupyter, Microsoft Excel, Data Transformation, Matplotlib, Data Analysis, NumPy, Data Cleansing, Data Preprocessing

    4.4
    Rating, 4.4 out of 5 stars
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    7 reviews

    Mixed · Course · 1 - 4 Weeks

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    Coursera

    CSS3 Flexbox - Mastering the Basics

    Skills you'll gain: Cascading Style Sheets (CSS), Front-End Web Development, HTML and CSS, Web Design and Development, Responsive Web Design

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    Rating, 4.2 out of 5 stars
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    17 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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    EDUCBA

    Machine Learning in Python: Analyze & Apply

    Skills you'll gain: Matplotlib, NumPy, Pandas (Python Package), Applied Machine Learning, Python Programming, Scikit Learn (Machine Learning Library), Data Visualization, Supervised Learning, Feature Engineering, Machine Learning, Natural Language Processing, Machine Learning Algorithms, Text Mining, Data Manipulation, Unsupervised Learning, Model Evaluation, Data Preprocessing, Classification Algorithms

    Mixed · Course · 1 - 4 Weeks

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    Northeastern University

    Statistical Learning for Engineering Part 1

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Regression Analysis, Applied Machine Learning, Statistical Modeling, Machine Learning Algorithms, PyTorch (Machine Learning Library), Statistical Methods, Statistical Machine Learning, Machine Learning, Predictive Analytics, Predictive Modeling, Machine Learning Software, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Classification Algorithms, Logistic Regression, Unstructured Data, Model Evaluation, Dimensionality Reduction

    Intermediate · Course · 1 - 3 Months

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    Johns Hopkins University

    Honors Algebra 2: Algebraic, Exponential & Log Functions

    Skills you'll gain: Algebra, Applied Mathematics, Graphing, Mathematical Modeling, Advanced Mathematics, Calculus, Data Analysis

    Beginner · Course · 1 - 4 Weeks

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    Google Cloud

    Getting Started with Vector Search and Embeddings

    Skills you'll gain: Embeddings, Google Cloud Platform, Vector Databases, Text Mining, Applied Machine Learning, Cloud Computing

    Intermediate · Project · Less Than 2 Hours

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    Coursera

    GenAI for Customer Insights

    Skills you'll gain: Customer Insights, AI Personalization, Customer Analysis, Customer experience strategy (CX), Generative AI, User Feedback, Customer Data Management, Customer Engagement, Business Intelligence, Trend Analysis, Data-Driven Decision-Making, Predictive Analytics, Data Analysis, Artificial Intelligence

    Beginner · Course · 1 - 4 Weeks

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    University of Minnesota

    의료기술 및 의료기술평가

    Skills you'll gain: Medical Devices, Stakeholder Analysis, Program Evaluation, Regulatory Affairs, Healthcare Industry Knowledge, Cost Benefit Analysis, Health Care Procedure and Regulation, Health Informatics, Health Technology, Health Policy, Regulatory Requirements, Clinical Trials, Medicare, Payment Systems, Financial Analysis, Probability & Statistics

    Beginner · Course · 1 - 4 Weeks

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    Coursera

    Image Classification on Autopilot with AWS AutoGluon

    Skills you'll gain: AWS SageMaker, Image Analysis, Deep Learning, Keras (Neural Network Library), Model Evaluation, Convolutional Neural Networks, PyTorch (Machine Learning Library), Tensorflow, Computer Vision, Applied Machine Learning, Machine Learning, Python Programming, Matplotlib, Data Science

    Intermediate · Guided Project · Less Than 2 Hours

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

  • Data Visualization with Python & R for Engineers: Northeastern University
  • تعزيز الشبكات العصبية : ضبط وتحسين مقياس فرط المعلمات : DeepLearning.AI
  • Machine Learning in the Enterprise - Français: Google Cloud
  • Pandas with Python: Analyze, Transform & Export Data: EDUCBA
  • CSS3 Flexbox - Mastering the Basics: Coursera
  • Machine Learning in Python: Analyze & Apply: EDUCBA
  • Statistical Learning for Engineering Part 1: Northeastern University
  • Honors Algebra 2: Algebraic, Exponential & Log Functions: Johns Hopkins University
  • Getting Started with Vector Search and Embeddings: Google Cloud
  • GenAI for Customer Insights: Coursera

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