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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


  • Status: Free Trial
    Free Trial
    S

    Simplilearn

    Analytics, ROI, and Evaluation

    Skills you'll gain: Marketing Analytics, Web Analytics, Google Analytics, Key Performance Indicators (KPIs), Marketing Effectiveness, Performance Measurement, Business Metrics, Performance Metric, Marketing Strategies, Digital Marketing, Data-Driven Decision-Making, Return On Investment, Analytics, Heat Maps, Customer Engagement

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    S

    Siemens

    Angewandte numerische Fluiddynamik

    Skills you'll gain: Mechanical Engineering, Thermal Management, Engineering Analysis, Simulations, Numerical Analysis, Engineering, Mathematical Modeling, Physics

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Analyze Sales Data with LibreOffice Base Queries

    Skills you'll gain: Customer Analysis, Regional Sales, Sales, Data Analysis Software, Data Analysis, Query Languages, Trend Analysis, Databases, Customer Insights, Performance Analysis, Market Opportunities, Product Assortment

    Intermediate · Guided Project · Less Than 2 Hours

  • P

    Packt

    Kanban for Software Project Management

    Skills you'll gain: Kanban Principles, Workflow Management, Agile Software Development, Sprint Planning, Agile Project Management, Project Estimation, Agile Methodology, Project Management Software, Estimation, Process Optimization, Backlogs, User Story, Process Improvement, Resource Utilization

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    N

    Northeastern University

    Machine Learning and Data Analytics Part 1

    Skills you'll gain: Classification Algorithms, Exploratory Data Analysis, Data Mining, Model Evaluation, Dimensionality Reduction, Regression Analysis, Machine Learning Algorithms, Data Analysis, Big Data, Feature Engineering, Predictive Modeling, Data Science, Statistical Analysis, Data Preprocessing, Case Studies, Applied Machine Learning, Supervised Learning, Project Implementation

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    Looker Data Explorer - Qwik Start

    Skills you'll gain: Looker (Software), Interactive Data Visualization, Dashboard, Data Visualization Software, Data Presentation, Exploratory Data Analysis, Data Access, Data Analysis, Analysis, Google Cloud Platform, Data Management

    Beginner · Project · Less Than 2 Hours

  • Status: Preview
    Preview
    N

    Northeastern University

    Aligning Business Strategy for AI Integration

    Skills you'll gain: Competitive Analysis, AI Enablement, Machine Learning, Applied Machine Learning, Business Strategy, Data Ethics, Business Intelligence, Business Ethics, Organizational Strategy, Strategic Thinking, Market Analysis, Artificial Intelligence, Value Propositions, Analytics, Risk Analysis, Strategic Decision-Making, Resource Management

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    D

    DeepLearning.AI

    Последовательные модели

    Skills you'll gain: Recurrent Neural Networks (RNNs), Deep Learning, Natural Language Processing, Tensorflow, PyTorch (Machine Learning Library), Generative Model Architectures, Applied Machine Learning, Artificial Neural Networks, Embeddings

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    Edureka

    PySpark for Data Science

    Skills you'll gain: PySpark, Data Pipelines, Dashboard, Data Processing, Data Storage Technologies, Data Visualization, Natural Language Processing, Data Analysis Expressions (DAX), Data Storage, Data Transformation, Machine Learning, Deep Learning, Logistic Regression

    2.7
    Rating, 2.7 out of 5 stars
    ·
    11 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    RNN Architecture and Sentiment Classification

    Skills you'll gain: Recurrent Neural Networks (RNNs), PyTorch (Machine Learning Library), Text Mining, Artificial Neural Networks, Natural Language Processing, Classification Algorithms, Deep Learning, Applied Machine Learning, Embeddings, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Packt

    Azure ML Bootcamp: Machine Learning on the Cloud

    Skills you'll gain: Data Preprocessing, Model Deployment, Model Evaluation, Feature Engineering, Microsoft Azure, Applied Machine Learning, Machine Learning, Large Language Modeling, Data Cleansing, Supervised Learning, Data Transformation, Cloud Deployment, Data Ethics, CI/CD, Machine Learning Algorithms, Transfer Learning, Data Quality, Performance Tuning

    Intermediate · Specialization · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Pandas with Python: Analyze, Transform & Export Data

    Skills you'll gain: Pandas (Python Package), Pivot Tables And Charts, Data Manipulation, Time Series Analysis and Forecasting, Data Import/Export, Jupyter, Microsoft Excel, Data Transformation, Matplotlib, Data Analysis, NumPy, Data Cleansing, Data Preprocessing

    4.4
    Rating, 4.4 out of 5 stars
    ·
    7 reviews

    Mixed · Course · 1 - 4 Weeks

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1…211212213…248

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

  • Analytics, ROI, and Evaluation: Simplilearn
  • Angewandte numerische Fluiddynamik: Siemens
  • Analyze Sales Data with LibreOffice Base Queries: Coursera
  • Kanban for Software Project Management: Packt
  • Machine Learning and Data Analytics Part 1: Northeastern University
  • Looker Data Explorer - Qwik Start: Google Cloud
  • Aligning Business Strategy for AI Integration: Northeastern University
  • Последовательные модели: DeepLearning.AI
  • PySpark for Data Science: Edureka
  • RNN Architecture and Sentiment Classification: Packt

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