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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

    Facebook Analytics: Optimize Performance

    Skills you'll gain: Facebook, Content Performance Analysis, Social Media Content, Marketing Analytics, Social Media Marketing, Data-Driven Decision-Making, Social Media, Analytics, Social Media Strategy, Driving engagement, Trend Analysis, Data Analysis, Performance Analysis, Performance Metric

    Beginner · Course · 1 - 4 Weeks

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    EDUCBA

    Master Time Series Forecasting with R: Analyze & Predict

    Skills you'll gain: Time Series Analysis and Forecasting, Forecasting, Predictive Modeling, R Programming, Regression Analysis, Business Analytics, Trend Analysis, Statistical Analysis, Statistical Modeling, Analysis, Model Evaluation

    Mixed · Course · 1 - 4 Weeks

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    University of Colorado Boulder

    컴퓨터 비전 분야에서의 딥 러닝 응용 사례

    Skills you'll gain: Image Analysis, Tensorflow, Computer Vision, Convolutional Neural Networks, Applied Machine Learning, Deep Learning, Machine Learning, Artificial Neural Networks, Performance Tuning, Data Preprocessing, Model Evaluation, Feature Engineering, Algorithms

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    Pearson

    Data Science Fundamentals Part 1: Unit 3

    Skills you'll gain: Data Validation, Extract, Transform, Load, Object-Relational Mapping, Data Cleansing, Data Manipulation, Data Quality, Data Pipelines, Pandas (Python Package), Descriptive Statistics, Database Management, Data Transformation, Data Integrity, Relational Databases, Exploratory Data Analysis, Databases, Data Processing, SQL, Data Persistence, Data Analysis

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Universidades Anáhuac

    Deep Learning: Del Concepto a la Práctica

    Skills you'll gain: Artificial Neural Networks, Keras (Neural Network Library), Deep Learning, Applied Machine Learning, Tensorflow, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Image Analysis, Computer Vision, Model Evaluation, Python Programming

    Beginner · Course · 1 - 4 Weeks

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    Coursera

    معرفة اهتمامات الجمهور عبر رؤى الجمهور على فيسبوك

    Skills you'll gain: Facebook, Content Performance Analysis, Drive Engagement, Social Media, Social Media Marketing, Target Audience, Instagram, Customer Insights, Advertising, Web Analytics, Social Work

    4.8
    Rating, 4.8 out of 5 stars
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    10 reviews

    Beginner · Guided Project · Less Than 2 Hours

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    R

    Real Madrid Graduate School Universidad Europea

    Must-Know Concepts - Basic requirements for data analysis

    Skills you'll gain: Data Presentation, Matplotlib, Analytics, Probability Distribution, Data Processing, Statistical Methods, Exploratory Data Analysis, Statistical Analysis, Probability, Data Cleansing, Computer Programming Tools, Data Collection, Performance Measurement, Python Programming, Technical Analysis

    Beginner · Course · 1 - 4 Weeks

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    Alberta Machine Intelligence Institute

    Building and Deploying Generative AI Models

    Skills you'll gain: Generative AI Agents, Generative AI, Generative Model Architectures, LangChain, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), Model Deployment, Prompt Engineering, Google Cloud Platform, PyTorch (Machine Learning Library), System Monitoring, Embeddings, Deep Learning, Transfer Learning, Model Evaluation, Development Environment, Natural Language Processing, Vector Databases

    Intermediate · Course · 1 - 4 Weeks

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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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    EDUCBA

    PySpark: Apply & Evaluate Predictive ML Models

    Skills you'll gain: Model Evaluation, PySpark, Apache Spark, Logistic Regression, Predictive Modeling, Applied Machine Learning, Unsupervised Learning, Decision Tree Learning, Predictive Analytics, Random Forest Algorithm, Regression Analysis, Classification Algorithms, Machine Learning Algorithms, Data Pipelines

    Mixed · Course · 1 - 4 Weeks

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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

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    Google Cloud

    Feature Engineering - 한국어

    Skills you'll gain: Feature Engineering, Data Preprocessing, Tensorflow, Data Pipelines, Data Store, Keras (Neural Network Library), Applied Machine Learning, Model Evaluation, Data Transformation, Data Modeling, Machine Learning

    Intermediate · Course · 1 - 3 Months

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

  • Facebook Analytics: Optimize Performance: Coursera
  • Master Time Series Forecasting with R: Analyze & Predict: EDUCBA
  • 컴퓨터 비전 분야에서의 딥 러닝 응용 사례: University of Colorado Boulder
  • Data Science Fundamentals Part 1: Unit 3: Pearson
  • Deep Learning: Del Concepto a la Práctica: Universidades Anáhuac
  • معرفة اهتمامات الجمهور عبر رؤى الجمهور على فيسبوك: Coursera
  • Must-Know Concepts - Basic requirements for data analysis: Real Madrid Graduate School Universidad Europea
  • Building and Deploying Generative AI Models: Alberta Machine Intelligence Institute
  • Partition & Monitor AI Models Effectively: Coursera
  • PySpark: Apply & Evaluate Predictive ML Models: EDUCBA

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