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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


  • G

    Google Cloud

    BigQuery for Data Analysts

    Skills you'll gain: Looker (Software), Big Data, SQL, Data Pipelines, Data Transformation, Extract, Transform, Load, Data Warehousing, Data Cleansing, Data Analysis, Data Visualization Software, Google Sheets, Google Cloud Platform, Data Import/Export, Data Integrity

    4.4
    Rating, 4.4 out of 5 stars
    ·
    72 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of Amsterdam

    Data Analytics for Lean Six Sigma

    Skills you'll gain: Lean Six Sigma, Statistical Hypothesis Testing, Minitab, Regression Analysis, Data Visualization Software, Probability Distribution, Descriptive Statistics, Data Analysis, Statistical Analysis, Process Improvement, Statistics, Correlation Analysis, Variance Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3.5K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Data Analysis with R

    Skills you'll gain: Bayesian Statistics, Statistical Hypothesis Testing, Sampling (Statistics), Statistical Inference, Exploratory Data Analysis, Peer Review, Regression Analysis, R (Software), Statistical Reporting, Probability Distribution, Statistical Methods, Statistics, Statistical Analysis, Data Analysis, Probability & Statistics, Probability, R Programming, Statistical Modeling, Correlation Analysis, Data Visualization

    4.7
    Rating, 4.7 out of 5 stars
    ·
    7.6K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    C

    Corporate Finance Institute

    SQL Fundamentals for Data Analysts

    Skills you'll gain: SQL, Databases, Data Manipulation, Data Analysis, Relational Databases, Business Intelligence, Query Languages, Data Warehousing, Data Transformation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    59 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Python for Data Science (and Version Control with GitHub)

    Skills you'll gain: A/B Testing, Pandas (Python Package), Matplotlib, Plotly, Data Visualization, Statistical Methods, GitHub, Data Manipulation, Statistical Hypothesis Testing, Version Control, Statistical Analysis, Data Science, Interactive Data Visualization, Python Programming, NumPy, Data Analysis, Git (Version Control System), Jupyter, Data Transformation, Programming Principles

    4.3
    Rating, 4.3 out of 5 stars
    ·
    6 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    SQL for Data Science (and Version Control with GitHub)

    Skills you'll gain: SQL, Database Design, Database Management, Data Analysis, Database Architecture and Administration, Relational Databases, Data Cleansing, Data Transformation, Data Manipulation, Query Languages, Analytics, GitHub, Git (Version Control System), Performance Tuning, Data Integrity

    4.3
    Rating, 4.3 out of 5 stars
    ·
    15 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    AI Fundamentals for Non-Data Scientists

    Skills you'll gain: Generative AI, Data Management, Big Data, Machine Learning Algorithms, Machine Learning, Tensorflow, Artificial Intelligence, Deep Learning, Algorithms, Process Optimization, Data Analysis, Artificial Neural Networks, Natural Language Processing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    924 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Preparing Data for Analysis with Microsoft Excel

    Skills you'll gain: Excel Formulas, Microsoft Excel, Power BI, Spreadsheet Software, Timelines, Data Analysis, Data Manipulation, Data Presentation, Data Cleansing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    5.2K reviews

    Beginner · Course · 1 - 4 Weeks

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

    Packt

    Foundations of Data Science and Machine Learning with Python

    Skills you'll gain: Predictive Modeling, Matplotlib, Seaborn, Statistical Modeling, Data Visualization, Regression Analysis, Pandas (Python Package), Statistical Analysis, Machine Learning, Supervised Learning, Data Science, Scikit Learn (Machine Learning Library), Probability & Statistics, Python Programming, Unsupervised Learning, Data Analysis, Decision Tree Learning, AI Personalization, Feature Engineering, NumPy

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    H

    Howard University

    Capstone: Data Science Problem in Linear Algebra Framework

    Skills you'll gain: Data Wrangling, Regression Analysis, Data Manipulation, Dimensionality Reduction, Data Science, Python Programming, Predictive Modeling, Statistical Modeling, Data Analysis, Linear Algebra

    4.4
    Rating, 4.4 out of 5 stars
    ·
    8 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    P

    Pearson

    Skill Up with Python: Data Science and Machine Learning Recipes

    Skills you'll gain: Pandas (Python Package), Web Scraping, Python Programming, Jupyter, Image Analysis, Text Mining, Data Manipulation, Computer Vision, Data Analysis, Natural Language Processing, Data Visualization Software, Data Science, Applied Machine Learning, Unstructured Data

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    I

    Icahn School of Medicine at Mount Sinai

    Big Data Science with the BD2K-LINCS Data Coordination and Integration Center

    Skills you'll gain: Bioinformatics, Interactive Data Visualization, Supervised Learning, Machine Learning, Big Data, Data Science, Data Integration, Unsupervised Learning, Molecular Biology, Data Analysis, Metadata Management, Cell Biology, Application Programming Interface (API), Restful API

    4.8
    Rating, 4.8 out of 5 stars
    ·
    26 reviews

    Intermediate · Course · 3 - 6 Months

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

  • BigQuery for Data Analysts: Google Cloud
  • Data Analytics for Lean Six Sigma: University of Amsterdam
  • Data Analysis with R: Duke University
  • SQL Fundamentals for Data Analysts: Corporate Finance Institute
  • Python for Data Science (and Version Control with GitHub): Coursera
  • SQL for Data Science (and Version Control with GitHub): Coursera
  • AI Fundamentals for Non-Data Scientists: University of Pennsylvania
  • Preparing Data for Analysis with Microsoft Excel: Microsoft
  • Foundations of Data Science and Machine Learning with Python: Packt
  • Capstone: Data Science Problem in Linear Algebra Framework: Howard University

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