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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: New
    New
    Status: Free Trial
    Free Trial
    S

    Skillshare

    Cinematic Video Editing : Master Exciting Youtube Intro's

    Skills you'll gain: Video Editing, Post-Production, Adobe Premiere, Motion Graphics, Adobe After Effects, Cinematography, Timelines, Color Theory, Image Quality

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Análisis Exploratorio de Datos con Python

    Skills you'll gain: Exploratory Data Analysis, Scatter Plots, Data Analysis, Correlation Analysis, Box Plots, Pandas (Python Package), Data Visualization, Histogram, Statistical Analysis, Python Programming, Software Installation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    6 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Minnesota

    Causal Inference Project Ideation

    Skills you'll gain: Experimentation, Research Design, A/B Testing, Business Analysis, Analytical Skills, Process Mapping, Statistical Methods, Research Methodologies, Business Research, Complex Problem Solving, Project Design, Statistical Inference, Data Ethics, Prioritization, Project Planning

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of Colorado Boulder

    컴퓨터 비전 분야에서의 딥 러닝 응용 사례

    Skills you'll gain: Image Analysis, Tensorflow, Computer Vision, Convolutional Neural Networks, Applied Machine Learning, Deep Learning, Machine Learning, Artificial Neural Networks, Performance Tuning, Data Preprocessing, Model Evaluation, Feature Engineering, Algorithms

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    Building Demand Forecasting with BigQuery ML

    Skills you'll gain: Model Evaluation, Time Series Analysis and Forecasting, Forecasting, Google Cloud Platform, Predictive Analytics, Predictive Modeling, Big Data, Data Analysis, Data Analysis Software, Exploratory Data Analysis, Cloud Storage

    Beginner · Project · Less Than 2 Hours

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

    EDUCBA

    PySpark: Apply & Evaluate Predictive ML Models

    Skills you'll gain: Model Evaluation, PySpark, Apache Spark, Logistic Regression, Predictive Modeling, Applied Machine Learning, Unsupervised Learning, Decision Tree Learning, Predictive Analytics, Random Forest Algorithm, Regression Analysis, Classification Algorithms, Machine Learning Algorithms, Data Pipelines

    Mixed · Course · 1 - 4 Weeks

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

    Pearson

    Data Science Fundamentals Part 2: Unit 2

    Skills you'll gain: A/B Testing, Sampling (Statistics), Statistical Inference, Estimation, Statistical Analysis, Analytics, Probability & Statistics, Data Analysis, Correlation Analysis, Descriptive Statistics

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
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    N

    Northeastern University

    Program Structure and Algorithms Part 2

    Skills you'll gain: Algorithms, Bayesian Statistics, Theoretical Computer Science, Network Model, Pseudocode, Computational Thinking, Bayesian Network, Data Structures, Graph Theory, Machine Learning Algorithms, Classification Algorithms, Network Analysis, Probability, Probability & Statistics

    Mixed · Course · 1 - 3 Months

  • Status: Free
    Free
    D

    DeepLearning.AI

    Prompt Compression and Query Optimization

    Skills you'll gain: Retrieval-Augmented Generation, Vector Databases, Prompt Engineering, MongoDB, Query Languages, Metadata Management, Performance Tuning, Embeddings, Data Pipelines

    Intermediate · Project · Less Than 2 Hours

  • G

    Google Cloud

    Feature Engineering - 한국어

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

    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

  • Status: New
    New
    P

    Packt

    The Complete Python Course

    Skills you'll gain: Mathematical Software, Scripting Languages, Scripting, Statistical Analysis, Software Installation

    Intermediate · Course · 3 - 6 Months

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

  • Cinematic Video Editing : Master Exciting Youtube Intro's: Skillshare
  • Análisis Exploratorio de Datos con Python: Coursera
  • Causal Inference Project Ideation: University of Minnesota
  • 컴퓨터 비전 분야에서의 딥 러닝 응용 사례: University of Colorado Boulder
  • Building Demand Forecasting with BigQuery ML: Google Cloud
  • PySpark: Apply & Evaluate Predictive ML Models: EDUCBA
  • Data Science Fundamentals Part 2: Unit 2: Pearson
  • Program Structure and Algorithms Part 2: Northeastern University
  • Prompt Compression and Query Optimization: DeepLearning.AI
  • Feature Engineering - 한국어: Google Cloud

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