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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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    Packt

    Algorithm Alchemy: Unlocking the Secrets of Machine Learning

    Skills you'll gain: Autoencoders, Recurrent Neural Networks (RNNs), Classification Algorithms, Model Evaluation, Data Preprocessing

    Intermediate · Course · 1 - 4 Weeks

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    Google Cloud

    Encoder-Decoder Architecture - Deutsch

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

    Advanced · Course · 1 - 4 Weeks

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    EDUCBA

    Regression & Logistic Models in Excel & Minitab

    Skills you'll gain: Data-Driven Decision-Making, Regression Analysis, Logistic Regression, Scatter Plots, Data Analysis, Predictive Analytics, Analytics, Business Analytics, Predictive Modeling, Minitab, Advanced Analytics, Statistical Modeling, Statistical Analysis, Statistical Hypothesis Testing, Correlation Analysis, Microsoft Excel, Model Evaluation

    Mixed · Course · 1 - 4 Weeks

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    Packt

    Deep Learning: Convolutional Neural Networks with TensorFlow

    Skills you'll gain: Transfer Learning, Keras (Neural Network Library), Embeddings, Deep Learning, Image Analysis, Computer Vision, Natural Language Processing, Data Preprocessing

    Intermediate · Course · 1 - 4 Weeks

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    Packt

    Data Processing and Exploration with NumPy & Pandas

    Skills you'll gain: Pivot Tables And Charts, Data Visualization, Data Analysis, Data Transformation, Data Preprocessing, Exploratory Data Analysis, Data Cleansing, Data Import/Export

    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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    Coursera

    Introduction to DeepSeek

    Skills you'll gain: Deepseek, Model Deployment, AI Enablement, Responsible AI, LLM Application, Generative Model Architectures, Competitive Analysis, AI Workflows, Strategic Planning, AI Personalization, Application Deployment, Data Ethics, Model Evaluation, Case Studies, Prompt Engineering, Cost Benefit Analysis, Automation, Integration Testing, Process Optimization, Program Evaluation

    Intermediate · Course · 1 - 4 Weeks

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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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    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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    Packt

    Clustering and Classification with Machine Learning in R

    Skills you'll gain: Unsupervised Learning, Dimensionality Reduction, Supervised Learning, R Programming, Applied Machine Learning, R (Software), Classification Algorithms, Machine Learning, Decision Tree Learning, Data Science, Ggplot2, Feature Engineering, Data Preprocessing, Statistical Programming, Predictive Modeling, Data Manipulation, Model Evaluation, Regression Analysis

    Beginner · Course · 1 - 3 Months

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    Google Cloud

    Encoder-Decoder Architecture - 繁體中文

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

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

  • Algorithm Alchemy: Unlocking the Secrets of Machine Learning: Packt
  • Encoder-Decoder Architecture - Deutsch: Google Cloud
  • Regression & Logistic Models in Excel & Minitab: EDUCBA
  • Deep Learning: Convolutional Neural Networks with TensorFlow: Packt
  • Data Processing and Exploration with NumPy & Pandas: Packt
  • Python: Implement & Evaluate Random Forests for ML: EDUCBA
  • Introduction to DeepSeek: Coursera
  • Q Learning in Reinforcement Training Basics: Simplilearn
  • R أساسيات لغة البرمجة: Coursera
  • Clustering and Classification with Machine Learning in R: Packt

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