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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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    Simplilearn

    Introduction to Long Short Term Memory (LSTM) Training

    Skills you'll gain: Recurrent Neural Networks (RNNs), Keras (Neural Network Library), Time Series Analysis and Forecasting, PyTorch (Machine Learning Library), Natural Language Processing, Tensorflow, Deep Learning, Artificial Neural Networks, Applied Machine Learning, Data Preprocessing

    2.5
    Rating, 2.5 out of 5 stars
    ·
    6 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Financial Analytics in RStudio: Identify Profit Drivers

    Skills you'll gain: Operational Analysis, Performance Analysis, Performance Improvement, Data Import/Export, Variance Analysis, Exploratory Data Analysis, Data Analysis, Financial Analysis, Operations Management, Operating Expense, Plot (Graphics), Waterfall Methodology

    Intermediate · Guided Project · Less Than 2 Hours

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    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, Statistical Methods, Data Quality, Dimensionality Reduction, Performance Tuning

    Intermediate · Specialization · 1 - 3 Months

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    Packt

    Data Analytics in Excel Using Real-World Examples

    Skills you'll gain: Microsoft Excel, Excel Formulas, Data Management, Data Analysis, Data Cleansing, Pivot Tables And Charts, Analytical Skills, Data Manipulation, Data Entry, Statistical Analysis, Data Import/Export, Data Quality, Data Visualization Software, Data Validation, Forecasting

    Intermediate · Course · 1 - 3 Months

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    Duke University

    Data Modeling and Prediction with R

    Skills you'll gain: Data-Driven Decision-Making, Logistic Regression, Statistical Modeling, Model Evaluation, Predictive Modeling, Regression Analysis, R Programming, Statistics, Data Analysis, Probability & Statistics, Statistical Inference

    Beginner · Course · 1 - 4 Weeks

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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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    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

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Howard University

    Capstone: Data Science Problem in Linear Algebra Framework

    Skills you'll gain: Data Wrangling, Regression Analysis, Dimensionality Reduction, Data Science, Python Programming, Data Preprocessing, Predictive Modeling, Data Analysis, Linear Algebra, Exploratory Data Analysis, Model Evaluation

    4.4
    Rating, 4.4 out of 5 stars
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    8 reviews

    Mixed · Course · 1 - 4 Weeks

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    U

    University of North Texas

    Foundations of Marketing Practice for Non-Majors

    Skills you'll gain: Consumer Behaviour, Strategic Marketing, Marketing Strategies, Marketing, Marketing Management, Market Research, Customer Analysis, Market Analysis, Market Opportunities, Business Strategy, Business Marketing, Business, Target Market, Competitive Analysis

    4.5
    Rating, 4.5 out of 5 stars
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    17 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    University of Michigan

    Healthcare Strategy and Innovation

    Skills you'll gain: Health Informatics, Strategic Communication, Strategic Planning, Business Planning, Innovation, Telehealth, Organizational Strategy, Design Thinking, Business Strategy, Health Care Administration, Stakeholder Analysis, Emerging Technologies, Agile Methodology, User Centered Design

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Packt

    Deep Learning: Recurrent Neural Networks with Python

    Skills you'll gain: Model Deployment, PyTorch (Machine Learning Library), Recurrent Neural Networks (RNNs), Tensorflow, Artificial Intelligence, Applied Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Text Mining, Machine Learning, Natural Language Processing, Deep Learning, Predictive Modeling, Classification Algorithms, Supervised Learning, Time Series Analysis and Forecasting, Network Architecture, Data Science, Model Evaluation

    Beginner · Specialization · 1 - 3 Months

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    University of Colorado Boulder

    의사 결정을 위한 비즈니스 분석

    Skills you'll gain: Business Analytics, Risk Analysis, Data Analysis, Decision Making, Business Modeling, Trend Analysis, Process Optimization, Simulation and Simulation Software, Market Analysis, Microsoft Excel, Unsupervised Learning

    4.8
    Rating, 4.8 out of 5 stars
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    14 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Introduction to Long Short Term Memory (LSTM) Training: Simplilearn
  • Financial Analytics in RStudio: Identify Profit Drivers: Coursera
  • Azure ML Bootcamp: Machine Learning on the Cloud: Packt
  • Data Analytics in Excel Using Real-World Examples: Packt
  • Data Modeling and Prediction with R: Duke University
  • AI Driven Machine Learning with Python: EDUCBA
  • Pandas with Python: Analyze, Transform & Export Data: EDUCBA
  • Capstone: Data Science Problem in Linear Algebra Framework: Howard University
  • Foundations of Marketing Practice for Non-Majors: University of North Texas
  • Healthcare Strategy and Innovation: University of Michigan

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