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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


  • J

    Johns Hopkins University

    Data Science Decisions in Time:Sequential Hypothesis Testing

    Skills you'll gain: Bioinformatics, Image Analysis, Bayesian Statistics, Data Science, Applied Machine Learning, Data Structures, Machine Learning Methods, Statistical Hypothesis Testing, Statistical Methods, Computer Vision, Algorithms, Statistical Inference, Probability Distribution, Medical Imaging

    Intermediate · Course · 1 - 3 Months

  • O

    O.P. Jindal Global University

    Econometrics - Theory and Practice

    Skills you'll gain: Econometrics, Regression Analysis, Probability & Statistics, Statistical Modeling, Statistical Analysis, Correlation Analysis, Time Series Analysis and Forecasting, Economics, Statistical Inference, Probability Distribution, Logistic Regression, Model Evaluation

    Build toward a degree

    Beginner · Course · 1 - 3 Months

  • S

    Simplilearn

    AI ML with Deep Learning and Supervised Models

    Skills you'll gain: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Recurrent Neural Networks (RNNs), Model Deployment, Reinforcement Learning, Artificial Intelligence, Classification Algorithms, Classification And Regression Tree (CART), Tensorflow, Machine Learning Algorithms, Keras (Neural Network Library), Artificial Neural Networks, Deep Learning, Machine Learning, Decision Tree Learning, Predictive Analytics, Regression Analysis

    3.9
    Rating, 3.9 out of 5 stars
    ·
    11 reviews

    Beginner · Specialization · 1 - 3 Months

  • E

    EDUCBA

    Mastering Recommendation Systems with Python

    Skills you'll gain: Model Evaluation, Data Preprocessing, Feature Engineering, AI Personalization, Applied Machine Learning, Data Science, Machine Learning, Scalability, Data Manipulation, Python Programming, Data Transformation, Pandas (Python Package), Machine Learning Methods, Predictive Modeling, Text Mining, Development Environment, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, NumPy, Data Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    70 reviews

    Intermediate · Specialization · 1 - 3 Months

  • P

    Pontificia Universidad Católica de Chile

    Transferencia de momentum, calor y masa computacional

    Skills you'll gain: Engineering Analysis, Engineering Calculations, Numerical Analysis, Finite Element Methods, Chemical Engineering, Simulation and Simulation Software, Differential Equations, Applied Mathematics, NumPy, Mathematical Modeling, Scientific Visualization, Python Programming, Plot (Graphics), Linear Algebra, Algorithms

    Intermediate · Course · 1 - 3 Months

  • P

    Packt

    Fundamentals of AI, Machine Learning, and Python Programming

    Skills you'll gain: NumPy, Applied Machine Learning, PyTorch (Machine Learning Library), Predictive Modeling, Matplotlib, Artificial Intelligence, Development Environment, Pandas (Python Package), Deep Learning, Python Programming, Artificial Neural Networks, Data Manipulation, Tensorflow, Regression Analysis, Exploratory Data Analysis, Computer Programming

    Beginner · Course · 3 - 6 Months

  • U

    University of Michigan

    Decoding AI: A Deep Dive into AI Models and Predictions

    Skills you'll gain: Generative AI, Model Evaluation, Data Ethics, Data Analysis, Data-Driven Decision-Making, Data Literacy, AI Enablement, Artificial Intelligence, Big Data, Machine Learning, Social Impact

    4.8
    Rating, 4.8 out of 5 stars
    ·
    25 reviews

    Beginner · Course · 1 - 4 Weeks

  • U

    University of Colorado Boulder

    Parallel Computing with MPI

    Skills you'll gain: File I/O, C and C++, Load Balancing, Communication Systems

    4.5
    Rating, 4.5 out of 5 stars
    ·
    13 reviews

    Advanced · Course · 1 - 3 Months

  • C

    Coursera

    CNNs with TensorFlow: Basics of Machine Learning

    Skills you'll gain: Tensorflow, Convolutional Neural Networks, Keras (Neural Network Library), Matplotlib, Artificial Neural Networks, Image Analysis, Deep Learning, Applied Machine Learning, Python Programming, Model Evaluation, Adaptability, Problem Solving

    Intermediate · Guided Project · Less Than 2 Hours

  • D

    Duke University

    Pandas for Data Science

    Skills you'll gain: Pandas (Python Package), Data Cleansing, Data Manipulation, Data Preprocessing, Data Quality, NumPy, File I/O, Query Languages, Python Programming, Data Import/Export, Data Analysis, Exploratory Data Analysis, Debugging

    4.3
    Rating, 4.3 out of 5 stars
    ·
    15 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Establish Company Training Initiatives with Canvas

    Skills you'll gain: Web Analytics, Organizational Skills, Content Development and Management, Employee Training, Training and Development, Learning Management Systems, Content Management, Content Creation, Writing

    4.5
    Rating, 4.5 out of 5 stars
    ·
    15 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    GenAI for Personalized Marketing at Scale

    Skills you'll gain: AI Personalization, Customer Insights, Marketing Analytics, Generative AI, Target Audience, Marketing, Marketing Strategies, Marketing Effectiveness, Social Media Campaigns, Prompt Engineering, Customer Engagement, Content Creation, Data-Driven Decision-Making, Analysis, Scalability

    4.9
    Rating, 4.9 out of 5 stars
    ·
    7 reviews

    Intermediate · Course · 1 - 4 Weeks

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1…207208209…271

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

  • Data Science Decisions in Time:Sequential Hypothesis Testing: Johns Hopkins University
  • Econometrics - Theory and Practice: O.P. Jindal Global University
  • AI ML with Deep Learning and Supervised Models: Simplilearn
  • Mastering Recommendation Systems with Python: EDUCBA
  • Transferencia de momentum, calor y masa computacional: Pontificia Universidad Católica de Chile
  • Fundamentals of AI, Machine Learning, and Python Programming: Packt
  • Decoding AI: A Deep Dive into AI Models and Predictions: University of Michigan
  • Parallel Computing with MPI: University of Colorado Boulder
  • CNNs with TensorFlow: Basics of Machine Learning: Coursera
  • Pandas for Data Science: Duke University

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