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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


  • 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

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    Coursera

    PCB/CAD Design – DFM & DFT Considerations

    Skills you'll gain: Hardware Design, Electronics Engineering, Design Reviews, Computer-Aided Design, Electronic Components, Technical Design

    Intermediate · Course · 1 - 4 Weeks

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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

  • G

    Google Cloud

    Offloading Financial Mainframe Data into BigQuery and Elastic Search

    Skills you'll gain: Dashboard, Kibana, Google Cloud Platform, Cloud Computing, Data Import/Export, Financial Data, Mainframe Computing, Dataflow, Big Data, Exploratory Data Analysis, SQL, Data Analysis

    Beginner · Project · Less Than 2 Hours

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    Microsoft

    Mastering Data Wrangling with dplyr

    Skills you'll gain: Data Manipulation, Data Transformation, Tidyverse (R Package), Data Wrangling, R Programming, Exploratory Data Analysis, Data Analysis, Data Cleansing

    Beginner · Course · 1 - 4 Weeks

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    Coursera

    Optimize AI: Build Robust Ensemble Models

    Skills you'll gain: Model Deployment, Model Evaluation, Decision Tree Learning, MLOps (Machine Learning Operations), Data-Driven Decision-Making, Applied Machine Learning, Analytics, A/B Testing, Predictive Modeling, Machine Learning, Predictive Analytics, Statistical Hypothesis Testing, Statistical Methods, Scalability, Machine Learning Algorithms, Random Forest Algorithm, Performance Testing, Performance Analysis, Statistical Analysis, Classification Algorithms

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Coursera

    Forecast and Validate Your Marketing Traffic

    Skills you'll gain: Statistical Modeling, Data Validation, Media Planning, Variance Analysis, Regression Analysis, Predictive Analytics, Predictive Modeling, Web Analytics, Forecasting, Trend Analysis, Marketing Analytics, Time Series Analysis and Forecasting, Marketing Budgets, Analytics, Data-Driven Decision-Making, Data Quality, Advertising Campaigns

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Pearson

    Data Science Fundamentals Part 2: Unit 2

    Skills you'll gain: A/B Testing, Sampling (Statistics), Statistical Inference, Estimation, Statistical Analysis, Analytics, Probability & Statistics, Data Analysis, Correlation Analysis, Descriptive Statistics

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    G

    Google Cloud

    Developing Data Models with LookML 日本語版

    Skills you'll gain: Looker (Software), Data Modeling, Dashboard, Database Design, Performance Tuning, Exploratory Data Analysis, Data Integration, SQL, Integrated Development Environments, Git (Version Control System)

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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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

    Encoder-Decoder Architecture - Português Brasileiro

    Skills you'll gain: Keras (Neural Network Library), Model Deployment, Recurrent Neural Networks (RNNs), Tensorflow, Deep Learning, Applied Machine Learning

    Advanced · Course · 1 - 4 Weeks

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    Google Cloud

    Machine Learning Operations (MLOps): Getting Started - 日本語版

    Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Model Deployment, DevOps, AI Workflows, Applied Machine Learning, Continuous Deployment, Cloud Deployment, Automation, Continuous Monitoring, Data Management

    Intermediate · Course · 1 - 4 Weeks

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

  • Data Science Fundamentals Part 1: Unit 3: Pearson
  • PCB/CAD Design – DFM & DFT Considerations: Coursera
  • Clustering and Classification with Machine Learning in R: Packt
  • Offloading Financial Mainframe Data into BigQuery and Elastic Search: Google Cloud
  • Mastering Data Wrangling with dplyr: Microsoft
  • Optimize AI: Build Robust Ensemble Models: Coursera
  • Forecast and Validate Your Marketing Traffic: Coursera
  • Data Science Fundamentals Part 2: Unit 2: Pearson
  • Developing Data Models with LookML 日本語版: Google Cloud
  • YouTube Analytics: Optimize Performance: Coursera

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