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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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    Coursera

    YouTube Analytics: Optimize Performance

    Skills you'll gain: Benchmarking, Search Engine Optimization, Content Performance Analysis, Keyword Research, Marketing Analytics, Key Performance Indicators (KPIs), Performance Analysis, Web Analytics and SEO, Performance Measurement, Content Strategy, Performance Improvement, Driving engagement, Trend Analysis, Customer Insights

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    تتبع إجراءات زبائن الموقع باستخدام فيسبوك بيكسل

    Skills you'll gain: Facebook, Web Analytics, Social Media Marketing, Customer Analysis, User Accounts, Social Media, E-Commerce

    Beginner · Guided Project · Less Than 2 Hours

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    Alberta Machine Intelligence Institute

    Demystifying GenAI: Concepts and Applications

    Skills you'll gain: Generative AI, AI Enablement, AI Product Strategy, Case Studies, Artificial Intelligence, LLM Application, Responsible AI, Data Ethics, Trend Analysis

    Beginner · Course · 1 - 4 Weeks

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    Università di Napoli Federico II

    Robotics Foundations I - Robot Modelling

    Skills you'll gain: Robotics, Simulation and Simulation Software

    Intermediate · Course · 1 - 3 Months

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    Packt

    Building, Evaluating, and Operationalizing ML Models

    Skills you'll gain: Model Evaluation, Model Deployment, Data Preprocessing, Performance Tuning

    Intermediate · Course · 1 - 4 Weeks

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    EDUCBA

    Image Classification with Keras: Build & Optimize

    Skills you'll gain: Keras (Neural Network Library), Convolutional Neural Networks, Transfer Learning, Model Evaluation, Image Analysis, Computer Vision, Deep Learning, Tensorflow, Applied Machine Learning, Data Preprocessing, Jupyter, Matplotlib, Visualization (Computer Graphics)

    Mixed · Course · 1 - 4 Weeks

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    Arizona State University

    Extracting Value from Dark Data: ULEADD

    Skills you'll gain: Exploratory Data Analysis, Decision Making, Unstructured Data, Data-Driven Decision-Making, Data Literacy, Data Management, Solution Design, Data Analysis, Needs Assessment, Requirements Analysis

    Beginner · Course · 1 - 4 Weeks

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    Google Cloud

    Vertex AI Studio'ya Giriş

    Skills you'll gain: Prompt Engineering, Google Gemini, Prompt Patterns, Generative AI, Multimodal Prompts, Applied Machine Learning, Model Deployment, Google Cloud Platform

    Beginner · Course · 1 - 4 Weeks

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    EDUCBA

    R: Design & Evaluate Random Forests for Attrition

    Skills you'll gain: Model Evaluation, Data Preprocessing, Workforce Management, Advanced Analytics, Classification Algorithms

    Mixed · Course · 1 - 4 Weeks

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    Coursera

    R أساسيات لغة البرمجة

    Skills you'll gain: Exploratory Data Analysis, R Programming, Data Manipulation, Statistical Programming, Data Analysis, File Management, Integrated Development Environments, Programming Principles, Data Science, Data Structures, Computer Programming

    Beginner · Guided Project · Less Than 2 Hours

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    University of Maryland, College Park

    Agile Process, Project, and Program Controls

    Skills you'll gain: Emotional Intelligence, Agile Project Management, Program Management, Sprint Retrospectives, Project Portfolio Management, Negotiation, Agile Methodology, Project Controls, Project Risk Management, Team Leadership, Project Management, Quality Management, Leadership, Scaled Agile Framework, User Acceptance Testing (UAT), Continuous Improvement Process, Return On Investment

    Intermediate · Course · 1 - 3 Months

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    EDUCBA

    Python: Implement & Evaluate Random Forests for ML

    Skills you'll gain: Model Evaluation, Supervised Learning, Data Preprocessing, Random Forest Algorithm, Applied Machine Learning, Decision Tree Learning, Feature Engineering, Machine Learning Algorithms, Classification Algorithms, Predictive Modeling, Data Analysis, Python Programming

    Mixed · Course · 1 - 4 Weeks

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

  • YouTube Analytics: Optimize Performance: Coursera
  • تتبع إجراءات زبائن الموقع باستخدام فيسبوك بيكسل : Coursera
  • Demystifying GenAI: Concepts and Applications: Alberta Machine Intelligence Institute
  • Robotics Foundations I - Robot Modelling: Università di Napoli Federico II
  • Building, Evaluating, and Operationalizing ML Models: Packt
  • Image Classification with Keras: Build & Optimize: EDUCBA
  • Extracting Value from Dark Data: ULEADD: Arizona State University
  • Vertex AI Studio'ya Giriş: Google Cloud
  • R: Design & Evaluate Random Forests for Attrition: EDUCBA
  • R أساسيات لغة البرمجة: Coursera

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