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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

    Partition & Monitor AI Models Effectively

    Skills you'll gain: MLOps (Machine Learning Operations), Data Integrity, Data Quality, Data Maintenance, System Monitoring, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Uncover Product Insights: Analyze User Funnels

    Skills you'll gain: Web Analytics, Customer Analysis, Customer Insights, Analytics, User Feedback, Business Analytics, Analysis, Root Cause Analysis, User Flows, Performance Analysis, Data Presentation, Performance Metric, Key Performance Indicators (KPIs), Statistical Analysis, Data Capture, Taxonomy

    Intermediate · Course · 1 - 4 Weeks

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    Google Cloud

    Attention Mechanism - 繁體中文

    Skills you'll gain: Recurrent Neural Networks (RNNs), Machine Learning Methods, Artificial Neural Networks, Deep Learning, Natural Language Processing, Applied Machine Learning, Text Mining

    Intermediate · Course · 1 - 4 Weeks

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    Google Cloud

    Encoder-Decoder Architecture - Español

    Skills you'll gain: Model Deployment, Tensorflow, Recurrent Neural Networks (RNNs), Keras (Neural Network Library), Natural Language Processing, Applied Machine Learning, Text Mining

    Advanced · Course · 1 - 4 Weeks

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    Google Cloud

    Attention Mechanism - Français

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

    Intermediate · Course · 1 - 4 Weeks

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    EDUCBA

    Face Recognition with Keras: Detect & Classify

    Skills you'll gain: Convolutional Neural Networks, Keras (Neural Network Library), Image Analysis, Computer Vision, Tensorflow, Data Preprocessing, Deep Learning, Embeddings, Model Deployment, Applied Machine Learning, Python Programming, Supervised Learning, NumPy, Model Evaluation

    Mixed · Course · 1 - 4 Weeks

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    H2O.ai

    H2O Gen AI Ecosystem Overview - Level 2

    Skills you'll gain: Model Deployment, Generative AI, Cloud Deployment, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, MLOps (Machine Learning Operations), AI Workflows, System Monitoring, Feature Engineering, Continuous Monitoring, Applied Machine Learning, Data Preprocessing, Advanced Analytics, Artificial Intelligence, Deep Learning, Data Processing, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

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    Coursera

    Fine-Tune & Optimize Generative AI Models

    Skills you'll gain: Hugging Face, Large Language Modeling, MLOps (Machine Learning Operations), Generative AI, Artificial Intelligence and Machine Learning (AI/ML), AI Product Strategy, Transfer Learning, Applied Machine Learning, AI Personalization, Model Deployment, Model Evaluation, Responsible AI, Performance Tuning, Model Based Systems Engineering, Program Evaluation, Analysis

    Intermediate · Course · 1 - 4 Weeks

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    EDUCBA

    DirectX: Implement & Optimize 3D Rendering

    Skills you'll gain: Computer Graphics, Visualization (Computer Graphics), Computer Graphic Techniques, C++ (Programming Language), Mathematical Theory & Analysis, Applied Mathematics, Algebra

    Mixed · Course · 1 - 4 Weeks

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    Johns Hopkins University

    Der Werkzeugkasten des Data Scientist

    Skills you'll gain: Rmarkdown, Data Science, Version Control, R (Software), Big Data, R Programming, Data Visualization Software, General Science and Research, GitHub, Statistical Programming, Git (Version Control System), Data Analysis, Exploratory Data Analysis, Integrated Development Environments, Software Installation

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Pearson

    Building Linux Servers: Unit 1

    Skills you'll gain: Virtualization, Dynamic Host Configuration Protocol (DHCP), Virtualization and Virtual Machines, Linux Administration, Linux Servers, Network Administration, Virtual Machines, Linux, Network Architecture, Information Technology, Virtual Environment, System Configuration, Command-Line Interface

    Intermediate · Course · 1 - 4 Weeks

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    H2O.ai

    Data Science and Machine Learning H2O.ai Platforms

    Skills you'll gain: Model Deployment, Generative AI, Data Wrangling, Project Planning, Responsible AI, Data Preprocessing, Data Governance, Exploratory Data Analysis, Applied Machine Learning, Large Language Modeling, AI Enablement, MLOps (Machine Learning Operations), Data Science, Prompt Engineering, Model Evaluation, Feature Engineering

    Intermediate · Course · 1 - 3 Months

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

  • Partition & Monitor AI Models Effectively: Coursera
  • Uncover Product Insights: Analyze User Funnels: Coursera
  • Attention Mechanism - 繁體中文: Google Cloud
  • Encoder-Decoder Architecture - Español: Google Cloud
  • Attention Mechanism - Français: Google Cloud
  • Face Recognition with Keras: Detect & Classify: EDUCBA
  • H2O Gen AI Ecosystem Overview - Level 2: H2O.ai
  • Fine-Tune & Optimize Generative AI Models: Coursera
  • DirectX: Implement & Optimize 3D Rendering: EDUCBA
  • Der Werkzeugkasten des Data Scientist: Johns Hopkins University

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