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  • Applied Data Science

Applied Data Science Courses

Applied Data Science courses can help you learn data analysis, statistical modeling, machine learning, and data visualization techniques. You can build skills in data cleaning, exploratory data analysis, and predictive analytics to derive insights from complex datasets. Many courses introduce tools like Python, R, and SQL, along with libraries such as Pandas and Scikit-learn, that support implementing data-driven solutions and automating processes in real-world applications.


Popular Applied Data Science Courses and Certifications


  • Status: Free Trial
    Free Trial
    S

    SAS

    SAS Advanced Programmer

    Skills you'll gain: SQL, SAS (Software), Database Management, Query Languages, Case Studies, Data Access, Program Development, Statistical Programming, Data Presentation, Scripting, Perl (Programming Language), Data Processing, Automation, Data Integration, Stored Procedure, Data Manipulation, Data Transformation, Debugging, Data Validation, Data Analysis

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
    ·
    405 reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    Universidad de los Andes

    Introducción a la ciencia de datos aplicada

    Skills you'll gain: Exploratory Data Analysis, Statistical Hypothesis Testing, Correlation Analysis, Data Visualization Software, Data Science, Jupyter, Data Analysis, Business Analytics, Statistical Analysis, Probability & Statistics, Python Programming, Descriptive Statistics, Statistical Modeling, Design Thinking

    4.7
    Rating, 4.7 out of 5 stars
    ·
    426 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    Universidad de los Andes

    Fundamentos de estadística aplicada

    Skills you'll gain: Statistical Hypothesis Testing, Descriptive Statistics, Statistics, Regression Analysis, Data Analysis, Statistical Methods, Statistical Analysis, Probability & Statistics, Statistical Modeling, Statistical Inference, Estimation, Applied Mathematics

    4.5
    Rating, 4.5 out of 5 stars
    ·
    138 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Production Machine Learning Systems

    Skills you'll gain: MLOps (Machine Learning Operations), Systems Design, Tensorflow, Hybrid Cloud Computing, Google Cloud Platform, Systems Architecture, Performance Tuning, Applied Machine Learning, Machine Learning, Distributed Computing, Scalability, Data Pipelines

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1K reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Santa Cruz

    Bayesian Statistics: Techniques and Models

    Skills you'll gain: Bayesian Statistics, Statistical Modeling, Markov Model, Statistical Analysis, Regression Analysis, R Programming, Simulations, Statistical Inference, Data Analysis, Probability, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
    ·
    495 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of London

    Statistics and Clustering in Python

    Skills you'll gain: Pandas (Python Package), NumPy, Probability & Statistics, Unsupervised Learning, Data Science, Statistics, Data Analysis, Statistical Analysis, Jupyter, Data Manipulation, Machine Learning Algorithms, Descriptive Statistics, Matplotlib, Data Visualization Software, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
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    21 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Preview
    Preview
    U

    University of Colorado Boulder

    Introduction to Python for Scientific Computing

    Skills you'll gain: Scientific Visualization, NumPy, Data Visualization, Debugging, Matplotlib, Numerical Analysis, Engineering Calculations, Integrated Development Environments, Computational Thinking, Engineering Analysis, Programming Principles, Jupyter, Data Analysis, Computer Programming

    4.9
    Rating, 4.9 out of 5 stars
    ·
    13 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Inferential Statistics

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Statistical Reporting, R (Software), Statistical Methods, Statistics, R Programming, Statistical Analysis, Probability & Statistics, Data Analysis, Sampling (Statistics), Probability Distribution, Software Installation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    2.8K reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    P

    Packt

    AI Ecosystem for the Absolute Beginners - Hands-On

    Skills you'll gain: Amazon Bedrock, Data Processing

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Introduction to Machine Learning in Sports Analytics

    Skills you'll gain: Scikit Learn (Machine Learning Library), Supervised Learning, Applied Machine Learning, Machine Learning Methods, Statistical Machine Learning, Predictive Analytics, Feature Engineering, Classification And Regression Tree (CART), Machine Learning Algorithms, Predictive Modeling, Analytics, Machine Learning, Data Analysis, Python Programming, Random Forest Algorithm

    4.7
    Rating, 4.7 out of 5 stars
    ·
    27 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Machine Learning with PySpark: Customer Churn Analysis

    Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Data Analysis, PySpark, Data Processing, Data Cleansing, Data Transformation, Apache Spark, Data-Driven Decision-Making, Decision Tree Learning, Predictive Modeling, Predictive Analytics, Applied Machine Learning, Application Deployment, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    25 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Rust Programming

    Skills you'll gain: Rust (Programming Language), Containerization, Data Pipelines, CI/CD, Docker (Software), Jenkins, DevOps, Large Language Modeling, Restful API, Serverless Computing, Generative AI, Amazon Web Services, Development Testing, Software Testing, Maintainability, Command-Line Interface, Prometheus (Software), Natural Language Processing, Computer Programming, Cloud Computing

    3.9
    Rating, 3.9 out of 5 stars
    ·
    258 reviews

    Beginner · Specialization · 3 - 6 Months

Searches related to applied data science

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

  • SAS Advanced Programmer: SAS
  • Introducción a la ciencia de datos aplicada: Universidad de los Andes
  • Fundamentos de estadística aplicada: Universidad de los Andes
  • Production Machine Learning Systems: Google Cloud
  • Bayesian Statistics: Techniques and Models: University of California, Santa Cruz
  • Statistics and Clustering in Python: University of London
  • Introduction to Python for Scientific Computing: University of Colorado Boulder
  • Inferential Statistics: Duke University
  • AI Ecosystem for the Absolute Beginners - Hands-On: Packt
  • Introduction to Machine Learning in Sports Analytics: University of Michigan

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