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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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    Pontificia Universidad Católica de Chile

    Mejores Decisiones con Business Analytics

    Skills you'll gain: Descriptive Analytics, Data Mining, Business Analytics, Predictive Analytics, Analytics, Business Intelligence, Forecasting, Business Analysis, Data Analysis, Data-Driven Decision-Making, Trend Analysis, Business Strategy, Decision Making

    Build toward a degree

    4.7
    Rating, 4.7 out of 5 stars
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    67 reviews

    Beginner · Course · 1 - 4 Weeks

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    DeepLearning.AI

    컨볼루션 신경망

    Skills you'll gain: Convolutional Neural Networks, Computer Vision, Image Analysis, Keras (Neural Network Library), Artificial Neural Networks, Tensorflow, Deep Learning, Transfer Learning, Applied Machine Learning, Classification Algorithms, Network Architecture

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Duke University

    Data Tidying and Importing with R

    Skills you'll gain: Web Scraping, Data Ethics, Data Transformation, Tidyverse (R Package), Data Wrangling, Data Cleansing, Data Manipulation, Data Collection, Data Pipelines, Data Preprocessing, Personally Identifiable Information, Data Integrity, R Programming, Exploratory Data Analysis, Information Privacy, Statistical Programming

    5
    Rating, 5 out of 5 stars
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    11 reviews

    Beginner · Course · 1 - 4 Weeks

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    Whizlabs

    Power BI: Data Visualization and Analysis

    Skills you'll gain: Business Intelligence, Data Presentation, Data Storytelling, Interactive Data Visualization, Data Visualization Software, Business Analytics, Power BI, Pivot Tables And Charts, Dashboard, Key Performance Indicators (KPIs), Performance Reporting, Data Analysis, Scatter Plots, Business Reporting, Trend Analysis, Time Series Analysis and Forecasting

    3.9
    Rating, 3.9 out of 5 stars
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    8 reviews

    Intermediate · Course · 1 - 4 Weeks

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    J

    Johns Hopkins University

    تحليل البيانات الاستكشافية

    Skills you'll gain: Exploratory Data Analysis, Statistical Visualization, Data Visualization Software, R Programming, Ggplot2, Plot (Graphics), Statistical Methods, Data Analysis, Unsupervised Learning, Spatial Data Analysis, Dimensionality Reduction, Graphical Tools, Color Theory, Analytics

    Mixed · Course · 1 - 4 Weeks

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    Packt

    Apache Spark with Scala – Hands-On with Big Data!

    Skills you'll gain: Apache Spark, Scala Programming, Data Processing, Big Data, Applied Machine Learning, IntelliJ IDEA, Real Time Data, Graph Theory, Development Environment, Distributed Computing, Performance Tuning

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    Packt

    Fundamentals of Oracle Database Performance Tuning

    Skills you'll gain: Oracle Databases, Performance Tuning, Operational Databases, System Monitoring, Database Management, SQL, Event Monitoring, Database Architecture and Administration

    Intermediate · Course · 1 - 3 Months

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    Simplilearn

    Linear Algebra for ML and Analytics Training

    Skills you'll gain: Mathematical Modeling, Linear Algebra, Dimensionality Reduction, Applied Mathematics, Data Analysis, Feature Engineering, Applied Machine Learning, Analytics, Data Science, Unsupervised Learning

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Università di Napoli Federico II

    Python per la Data Science

    Skills you'll gain: PyTorch (Machine Learning Library), Convolutional Neural Networks, NumPy, Image Analysis, Pandas (Python Package), Matplotlib, Artificial Neural Networks, Deep Learning, Computer Vision, Transfer Learning, Keras (Neural Network Library), Jupyter, Data Manipulation, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Scikit Learn (Machine Learning Library), Data Transformation, Model Evaluation

    4.3
    Rating, 4.3 out of 5 stars
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    9 reviews

    Intermediate · Course · 1 - 3 Months

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    LearnKartS

    Branching and Merging in Git

    Skills you'll gain: Git (Version Control System), Bitbucket, Version Control, GitLab, Integrated Development Environments, Eclipse (Software), Application Lifecycle Management

    Intermediate · Course · 1 - 4 Weeks

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    Packt

    Deep Learning with Keras and Practical Applications

    Skills you'll gain: Exploratory Data Analysis, Model Deployment, Keras (Neural Network Library), Transfer Learning, Data Analysis, Data Preprocessing, Image Analysis, Deep Learning, Classification Algorithms, Applied Machine Learning, Computer Vision, Model Evaluation, Machine Learning, Performance Tuning

    Intermediate · Course · 3 - 6 Months

  • Status: Free Trial
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    Johns Hopkins University

    Practical Methodology and Ethics in AI

    Skills you'll gain: Responsible AI, Data Ethics, Deep Learning, Model Deployment, Debugging, Artificial Intelligence, Machine Learning, Ethical Standards And Conduct, Model Evaluation, Applied Machine Learning, Social Impact, Unstructured Data, Data-Driven Decision-Making, Information Privacy, Case Studies

    Intermediate · Course · 1 - 4 Weeks

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1…186187188…238

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

  • Mejores Decisiones con Business Analytics: Pontificia Universidad Católica de Chile
  • 컨볼루션 신경망: DeepLearning.AI
  • Data Tidying and Importing with R: Duke University
  • Power BI: Data Visualization and Analysis: Whizlabs
  • تحليل البيانات الاستكشافية: Johns Hopkins University
  • Apache Spark with Scala – Hands-On with Big Data!: Packt
  • Fundamentals of Oracle Database Performance Tuning: Packt
  • Linear Algebra for ML and Analytics Training: Simplilearn
  • Python per la Data Science: Università di Napoli Federico II
  • Branching and Merging in Git: LearnKartS

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