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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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    Coursera

    Data Cleaning with Python for Finance

    Skills you'll gain: Data Cleansing, Pandas (Python Package), Financial Data, Data Wrangling, Data Transformation, Data Preprocessing, Data Quality, Data Manipulation, Data Validation, Jupyter, Data Integrity, Exploratory Data Analysis, Data Import/Export, Descriptive Statistics

    Intermediate · Course · 1 - 4 Weeks

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    U

    Universitat Politècnica de València

    Bases Matemáticas: Derivadas

    Skills you'll gain: Calculus, Applied Mathematics, Graphing, Algebra, Derivatives, Mathematical Theory & Analysis, Geometry

    Beginner · Course · 1 - 3 Months

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    IBM

    Introduction to Software Engineering

    Skills you'll gain: Software Development Life Cycle, Software Architecture, Software Design, Software Development Methodologies, Software Design Patterns, Development Environment, Unified Modeling Language, Software Engineering, Web Applications, Software Development Tools, Software Development, Application Deployment, Programming Principles, Front-End Web Development, Back-End Web Development, Software Documentation, Computer Programming, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
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    4.6K reviews

    Beginner · Course · 1 - 3 Months

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    EDUCBA

    Apply R Techniques for Telecom Customer Churn Prediction

    Skills you'll gain: Feature Engineering, Data Preprocessing, Applied Machine Learning, Model Evaluation, R Programming, Data Transformation, Data Manipulation, Data Cleansing, Predictive Modeling, Predictive Analytics, Supervised Learning, Classification Algorithms, Machine Learning Algorithms

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Google Cloud

    Machine Learning on Google Cloud

    Skills you'll gain: Feature Engineering, Generative AI, Model Deployment, Tensorflow, Google Cloud Platform, Keras (Neural Network Library), Data Preprocessing, Data Quality, MLOps (Machine Learning Operations), Exploratory Data Analysis, Machine Learning, Applied Machine Learning, Model Evaluation, Scikit Learn (Machine Learning Library), Data Cleansing, AI Enablement, Prompt Engineering, Cloud Deployment, AI Workflows, Cloud Computing

    4.4
    Rating, 4.4 out of 5 stars
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    3.8K reviews

    Intermediate · Specialization · 3 - 6 Months

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    DeepLearning.AI

    Natural Language Processing

    Skills you'll gain: Natural Language Processing, Supervised Learning, Transfer Learning, Recurrent Neural Networks (RNNs), Markov Model, Embeddings, Text Mining, Dimensionality Reduction, Machine Learning Methods, Statistical Machine Learning, Artificial Neural Networks, Classification Algorithms, Data Preprocessing, PyTorch (Machine Learning Library), Deep Learning, Tensorflow, Feature Engineering, Applied Machine Learning, Algorithms, Keras (Neural Network Library)

    4.6
    Rating, 4.6 out of 5 stars
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    6.2K reviews

    Intermediate · Specialization · 3 - 6 Months

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    IBM

    Excel Basics for Data Analysis

    Skills you'll gain: Excel Formulas, Microsoft Excel, Data Cleansing, Data Analysis, Data Import/Export, Spreadsheet Software, Data Wrangling, Data Quality, Pivot Tables And Charts, Google Sheets, Data Manipulation, Data Science, Information Privacy

    4.7
    Rating, 4.7 out of 5 stars
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    11K reviews

    Beginner · Course · 1 - 3 Months

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    University of Huddersfield

    Differential Calculus Fundamentals

    Skills you'll gain: Applied Mathematics, Analytical Skills, Calculus, Engineering Calculations, Advanced Mathematics, Data-Driven Decision-Making, Derivatives

    Intermediate · Course · 1 - 4 Weeks

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    Alberta Machine Intelligence Institute

    Generative AI Fundamentals

    Skills you'll gain: Prompt Engineering, Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Retrieval-Augmented Generation, Generative AI Agents, LangChain, Large Language Modeling, Vision Transformer (ViT), ChatGPT, Artificial Intelligence and Machine Learning (AI/ML), Image Analysis, Model Deployment, OpenAI API, Google Cloud Platform, Open Source Technology, Embeddings, Machine Learning, Python Programming, Probability & Statistics

    Intermediate · Specialization · 1 - 3 Months

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    University of California, Irvine

    Initiating and Planning Projects

    Skills you'll gain: Project Planning, Planning, Project Management, Work Breakdown Structure, Leadership, Interpersonal Communications

    4.7
    Rating, 4.7 out of 5 stars
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    24K reviews

    Mixed · Course · 1 - 3 Months

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    SkillUp

    Introduction to Healthcare Data Analytics

    Skills you'll gain: Data Storytelling, Data Visualization, Statistical Hypothesis Testing, Data Visualization Software, Interactive Data Visualization, Data Presentation, Health Informatics, Data Analysis, Healthcare Ethics, Technical Communication, Supervised Learning, Looker (Software), Statistical Analysis, Statistics, Predictive Analytics, Health Care, Healthcare Industry Knowledge, Data Literacy, Health Technology, Regression Analysis

    Intermediate · Specialization · 1 - 3 Months

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    Packt

    Mastering Python for Data Science

    Skills you'll gain: Data Science, Statistical Inference, Data Visualization, Pandas (Python Package), Probability & Statistics, Statistics, Regression Analysis, Apache Hadoop, Big Data, Machine Learning, Data Manipulation, Data Preprocessing, Data Analysis, Analytics, Random Forest Algorithm, Python Programming, Data Mapping, Object Oriented Programming (OOP), JavaScript Frameworks, HTML and CSS

    Intermediate · Course · 1 - 3 Months

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

  • Data Cleaning with Python for Finance: Coursera
  • Bases Matemáticas: Derivadas: Universitat Politècnica de València
  • Introduction to Software Engineering: IBM
  • Apply R Techniques for Telecom Customer Churn Prediction: EDUCBA
  • Machine Learning on Google Cloud: Google Cloud
  • Natural Language Processing: DeepLearning.AI
  • Excel Basics for Data Analysis: IBM
  • Differential Calculus Fundamentals: University of Huddersfield
  • Generative AI Fundamentals: Alberta Machine Intelligence Institute
  • Initiating and Planning Projects: University of California, Irvine

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