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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.


More to explore:

Popular Applied Statistics Courses and Certifications


  • Status: Free Trial
    Free Trial
    C

    Corporate Finance Institute

    Advanced Tableau - Table Calculations

    Skills you'll gain: Tableau Software, Data Presentation, Data Storytelling, Data Visualization Software, Dashboard, Key Performance Indicators (KPIs), Trend Analysis, Data Analysis, Business Metrics

    4.4
    Rating, 4.4 out of 5 stars
    ·
    16 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Advanced ML Algorithms & Unsupervised Learning

    Skills you'll gain: Dimensionality Reduction, Unsupervised Learning, Deep Learning, Model Evaluation, Machine Learning Algorithms, Applied Machine Learning, Random Forest Algorithm, Feature Engineering, Artificial Neural Networks, Supervised Learning, Statistical Machine Learning, Anomaly Detection, Classification Algorithms, Performance Tuning

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    BiteSize Python: NumPy and Pandas

    Skills you'll gain: Pandas (Python Package), NumPy, Data Structures, Data Import/Export, Data Manipulation, Data Cleansing, Statistical Methods, Data Analysis, Exploratory Data Analysis

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    D

    DeepLearning.AI

    الشبكات العصبونية الالتفافية

    Skills you'll gain: Convolutional Neural Networks, Image Analysis, Computer Vision, Deep Learning, Artificial Neural Networks, Transfer Learning, Applied Machine Learning, Network Architecture, Algorithms

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    S

    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

  • Status: Free Trial
    Free Trial
    P

    Packt

    Apache Kafka Series - Learn Apache Kafka for Beginners v3

    Skills you'll gain: Apache Kafka, Command-Line Interface, Apache, Data Pipelines, Java, Enterprise Application Management, Real Time Data, Distributed Computing, Performance Tuning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    11 reviews

    Intermediate · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Feature Engineering 日本語版

    Skills you'll gain: Feature Engineering, Data Preprocessing, Tensorflow, MLOps (Machine Learning Operations), Dataflow, Data Transformation, Applied Machine Learning, Data Modeling, Keras (Neural Network Library), Machine Learning, Deep Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    10 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Training AI with Humans

    Skills you'll gain: Machine Learning, Applied Machine Learning, Research, Model Evaluation, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Research Design, Data Collection, Surveys, Human Factors, Classification Algorithms, Experimentation, Data Quality, Statistical Analysis

    Intermediate · Course · 1 - 3 Months

  • Status: Free
    Free
    C

    Coursera

    Tidymodels in R: Building tidy machine learning models

    Skills you'll gain: Tidyverse (R Package), Model Evaluation, Data Visualization, Clinical Data Management, Data Preprocessing, Data Manipulation, Predictive Modeling, R Programming, Predictive Analytics, Data Pipelines, Feature Engineering, Applied Machine Learning, Machine Learning, Random Forest Algorithm, Performance Tuning, Logistic Regression

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Compare Models with Experiments in Azure ML Studio

    Skills you'll gain: Jupyter, Plot (Graphics), Model Evaluation, Microsoft Azure, Machine Learning Algorithms, Applied Machine Learning, Data Visualization, Regression Analysis

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Data Analysis with Python: Inform a Business Decision

    Skills you'll gain: Data Storytelling, Pandas (Python Package), Data Analysis, Data-Driven Decision-Making, Exploratory Data Analysis, Analytical Skills, Business Analysis, Data Manipulation, Data Cleansing, Python Programming, Data Import/Export, Promotional Strategies

    4.8
    Rating, 4.8 out of 5 stars
    ·
    9 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Диверсификация портфеля с помощью корреляционной матрицы

    Skills you'll gain: Correlation Analysis, Portfolio Risk, Portfolio Management, Investments, Financial Analysis, Financial Market

    Intermediate · Guided Project · Less Than 2 Hours

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

  • Advanced Tableau - Table Calculations: Corporate Finance Institute
  • Advanced ML Algorithms & Unsupervised Learning: Packt
  • BiteSize Python: NumPy and Pandas: University of Colorado Boulder
  • الشبكات العصبونية الالتفافية: DeepLearning.AI
  • Introduction to Long Short Term Memory (LSTM) Training: Simplilearn
  • Apache Kafka Series - Learn Apache Kafka for Beginners v3: Packt
  • Feature Engineering 日本語版: Google Cloud
  • Training AI with Humans: Johns Hopkins University
  • Tidymodels in R: Building tidy machine learning models: Coursera
  • Compare Models with Experiments in Azure ML Studio: Coursera

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