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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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    LearnQuest

    Practical Machine Learning without Coding

    Skills you'll gain: No-Code Development, Model Deployment, Applied Machine Learning, MLOps (Machine Learning Operations), Machine Learning, Return On Investment, Model Evaluation, Analytics, Performance Measurement, Business Metrics, Responsible AI, Cloud Computing, Big Data, Scalability, Workflow Management, Continuous Improvement Process, Business Continuity, Auditing, Performance Tuning, Application Programming Interface (API)

    Intermediate · Course · 1 - 4 Weeks

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    Simplilearn

    Strategies for Paid Campaigns

    Skills you'll gain: Google Analytics, Marketing Budgets, Performance marketing, Pay Per Click Advertising, Digital Marketing, Paid media, Google Ads, Marketing Strategies, Digital Advertising, Driving engagement, Campaign Management, Web Analytics, Online Advertising, Advertising Campaigns, Budget Management, Bidding, Marketing Analytics, Lead Generation, Facebook, Consumer Behaviour

    Beginner · Course · 1 - 4 Weeks

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    Packt

    Exploratory Data Analysis & Core ML Algorithms

    Skills you'll gain: Exploratory Data Analysis, Predictive Modeling, Decision Tree Learning, Data Analysis, Regression Analysis, Classification Algorithms, Supervised Learning, Machine Learning Algorithms, Model Evaluation, Scikit Learn (Machine Learning Library), Data Preprocessing, Statistical Machine Learning, Feature Engineering

    Intermediate · Course · 1 - 3 Months

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    Google Cloud

    Attention Mechanism - 한국어

    Skills you'll gain: Recurrent Neural Networks (RNNs), Applied Machine Learning, Machine Learning Methods, Large Language Modeling, Artificial Neural Networks, Embeddings, Text Mining

    Intermediate · Course · 1 - 4 Weeks

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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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    Northeastern University

    Statistical Learning for Engineering Part 2

    Skills you'll gain: PyTorch (Machine Learning Library), Unsupervised Learning, Reinforcement Learning, Supervised Learning, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Convolutional Neural Networks, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Transfer Learning, Decision Tree Learning, Classification Algorithms, Random Forest Algorithm, Autoencoders, Predictive Modeling, Feature Engineering

    Intermediate · Course · 1 - 3 Months

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    Coursera

    Commencer avec Facebook Analytics

    Skills you'll gain: Facebook, Web Analytics, Event Management, Advertising, Marketing Analytics, Social Media Management, Social Media, E-Commerce, Marketing, Business

    Beginner · Guided Project · Less Than 2 Hours

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    Google Cloud

    Geliştiriciler İçin Sorumlu Yapay Zeka

    Skills you'll gain: Responsible AI, AI Security, AI Product Strategy, Cloud Security, Generative AI, Data Ethics, Application Security, Secure Coding, Information Privacy, Google Cloud Platform, Artificial Intelligence, Data Security, Information Systems Security, Applied Machine Learning, Security Awareness, Data Integrity, Machine Learning, Model Evaluation, Data Visualization Software, Encryption

    Intermediate · Specialization · 1 - 3 Months

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    Simplilearn

    Q Learning in Reinforcement Training Basics

    Skills you'll gain: Reinforcement Learning, Model Evaluation

    Beginner · Course · 1 - 4 Weeks

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    EDUCBA

    Digital Marketing Strategies: Analyze & Apply

    Skills you'll gain: Marketing Strategies, Digital Marketing, Competitive Analysis, Marketing Effectiveness, Marketing Planning, Performance Analysis, Case Studies, Business Strategies, Digital Advertising, Market Analysis, Advertising Campaigns, Consumer Behaviour, Mobile Banking, Analysis

    Mixed · 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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    Starweaver

    Foundations of Cybersecurity Operations

    Skills you'll gain: Threat Detection, Identity and Access Management, Incident Response, Cybersecurity, Cyber Attacks, Cyber Threat Intelligence, Threat Management, Zero Trust Network Access, MITRE ATT&CK Framework, Security Management, Cyber Security Policies, Security Awareness, Security Information and Event Management (SIEM), Human Factors (Security), Security Controls, Endpoint Security, User Accounts, General Data Protection Regulation (GDPR)

    Beginner · Course · 1 - 3 Months

Searches related to applied statistics

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

  • Practical Machine Learning without Coding: LearnQuest
  • Strategies for Paid Campaigns: Simplilearn
  • Exploratory Data Analysis & Core ML Algorithms: Packt
  • Attention Mechanism - 한국어: Google Cloud
  • Python: Implement & Evaluate Random Forests for ML: EDUCBA
  • Statistical Learning for Engineering Part 2: Northeastern University
  • Commencer avec Facebook Analytics: Coursera
  • GeliÅŸtiriciler İçin Sorumlu Yapay Zeka: Google Cloud
  • Q Learning in Reinforcement Training Basics: Simplilearn
  • Digital Marketing Strategies: Analyze & Apply: EDUCBA

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