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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: New
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    EDUCBA

    Kibana Projects: Data Analytics & Visualization

    Skills you'll gain: Dashboard, Kibana, Interactive Data Visualization, Business Analytics, Data-Driven Decision-Making, Data Presentation, System Monitoring, Web Analytics, Exploratory Data Analysis, Data Visualization Software, Trend Analysis, Data Analysis, Automation, Business Intelligence, Data Wrangling, Retail Sales, Scripting, Devops Tools, Python Programming, Data Science

    Beginner · Specialization · 1 - 4 Weeks

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    U

    Universidades Anáhuac

    Marketing Digital: Desde SEO hasta Analítica de Datos

    Skills you'll gain: Digital Marketing, Search Engine Marketing, Search Engine Optimization, Digital Transformation, Email Marketing, Marketing Strategies, Marketing Analytics, Social Media Marketing, Marketing Effectiveness, Customer experience strategy (CX), Technology Strategies, Web Analytics, Content Strategy, Return On Investment

    4.4
    Rating, 4.4 out of 5 stars
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    25 reviews

    Beginner · Course · 1 - 3 Months

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    EDUCBA

    AI Driven Machine Learning with Python

    Skills you'll gain: Model Evaluation, Classification Algorithms, Regression Analysis, Matplotlib, Feature Engineering, Time Series Analysis and Forecasting, Data Preprocessing, Jupyter, Image Analysis, Cloud Deployment, Scikit Learn (Machine Learning Library), Applied Machine Learning, Tensorflow, Amazon Web Services, Python Programming, Data Transformation, Logistic Regression, Machine Learning Methods, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML)

    Beginner · Specialization · 1 - 3 Months

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    Knowledge Accelerators

    Intermediate Excel: Data Modeling, Analysis, and Dashboards

    Skills you'll gain: Pivot Tables And Charts, Spreadsheet Software, Data Analysis Expressions (DAX), Data Analysis, Analytics, Business Modeling, Business Analysis, Data Storytelling, Data Presentation, Microsoft 365, Trend Analysis, Data Security, Data Entry, Key Performance Indicators (KPIs), Data Management, Productivity

    Intermediate · Course · 1 - 3 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

  • G

    Google Cloud

    Getting Started with Vector Search and Embeddings

    Skills you'll gain: Embeddings, Google Cloud Platform, Vector Databases, Text Mining, Applied Machine Learning, Cloud Computing

    Intermediate · Project · Less Than 2 Hours

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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

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    Packt

    Advanced Machine Learning and Deep Learning

    Skills you'll gain: Autoencoders, Shiny (R Package), Deep Learning, Recurrent Neural Networks (RNNs), Transfer Learning, Convolutional Neural Networks, Image Analysis, PyTorch (Machine Learning Library), Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Tensorflow, Predictive Modeling, Dimensionality Reduction, Classification Algorithms, Time Series Analysis and Forecasting, Model Evaluation

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
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    Corporate Finance Institute

    Data Prep for Machine Learning in Python

    Skills you'll gain: Data Preprocessing, Feature Engineering, Data Import/Export, Exploratory Data Analysis, Data Cleansing, Statistical Visualization, Data Manipulation, Data Visualization, Data Transformation, Pandas (Python Package), Box Plots, Python Programming, Data Science, Scikit Learn (Machine Learning Library)

    Advanced · Course · 1 - 3 Months

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    University of Minnesota

    의료기술 및 의료기술평가

    Skills you'll gain: Medical Devices, Stakeholder Analysis, Program Evaluation, Regulatory Affairs, Healthcare Industry Knowledge, Cost Benefit Analysis, Health Care Procedure and Regulation, Health Informatics, Health Technology, Health Policy, Regulatory Requirements, Clinical Trials, Medicare, Payment Systems, Financial Analysis, Probability & Statistics

    Beginner · Course · 1 - 4 Weeks

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    Maven Analytics

    Complete Visual Guide to Machine Learning

    Skills you'll gain: Unsupervised Learning, Model Evaluation, Regression Analysis, Exploratory Data Analysis, Applied Machine Learning, Time Series Analysis and Forecasting, Data Analysis, Classification Algorithms, Statistical Analysis, Data Science, Data Preprocessing, Data Mining, Machine Learning, Predictive Modeling, Machine Learning Algorithms, Customer Analysis, Supervised Learning, Histogram, Data Quality, Business Intelligence

    Beginner · Course · 1 - 3 Months

  • Status: Free
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    Coursera

    PySpark Foundations: Process, analyze, and summarize data

    Skills you'll gain: PySpark, Apache Spark, Data Visualization Software, Data Analysis, Exploratory Data Analysis, Data Cleansing, Data Processing, Data Manipulation, Big Data, Jupyter, Pandas (Python Package), People Analytics

    Intermediate · Guided Project · Less Than 2 Hours

Searches related to applied statistics

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

  • Kibana Projects: Data Analytics & Visualization: EDUCBA
  • Marketing Digital: Desde SEO hasta Analítica de Datos: Universidades Anáhuac
  • AI Driven Machine Learning with Python: EDUCBA
  • Intermediate Excel: Data Modeling, Analysis, and Dashboards: Knowledge Accelerators
  • Practical Methodology and Ethics in AI: Johns Hopkins University
  • Getting Started with Vector Search and Embeddings: Google Cloud
  • 컨볼루션 신경망: DeepLearning.AI
  • Advanced Machine Learning and Deep Learning: Packt
  • Data Prep for Machine Learning in Python: Corporate Finance Institute
  • 의료기술 및 의료기술평가: University of Minnesota

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