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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: New
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    LearnQuest

    Applied No-Code AI for Business Processes

    Skills you'll gain: Responsible AI, No-Code Development, AI Enablement, Business Process Automation, Business Process, Data Management, Risk Mitigation, Return On Investment, Process Design, Key Performance Indicators (KPIs), Business Software, Business Transformation, Automation, Project Implementation, Performance Measurement, Data Cleansing, Project Management, Business Metrics, Data Storytelling, Dashboard

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    I

    Illinois Tech

    Communicating Science

    Skills you'll gain: Technical Communication, Data Visualization, Technical Writing, Peer Review, Technical Documentation, Data Ethics, Persuasive Communication, Writing and Editing, Data Science, Media and Communications, Graphic and Visual Design

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

  • Status: New
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    Packt

    Machine Learning, Data Science and Generative AI with Python

    Skills you'll gain: Apache Spark, PySpark, Retrieval-Augmented Generation, OpenAI API, Generative AI, Model Evaluation, Data Preprocessing, Large Language Modeling, Generative Adversarial Networks (GANs), Predictive Modeling, Matplotlib, Keras (Neural Network Library), Transfer Learning, Deep Learning, ChatGPT, Applied Machine Learning, Seaborn, Data Visualization, Regression Analysis, Machine Learning

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    U

    University of Pennsylvania

    AI Fundamentals for Non-Data Scientists

    Skills you'll gain: Machine Learning Methods, Generative AI, Data Management, Big Data, Applied Machine Learning, Generative Adversarial Networks (GANs), Machine Learning, AI Product Strategy, Artificial Intelligence and Machine Learning (AI/ML), Autoencoders, Deep Learning, Model Evaluation, Algorithms, Data Analysis, Process Improvement and Optimization, Artificial Neural Networks

    4.8
    Rating, 4.8 out of 5 stars
    ·
    941 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
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    P

    Packt

    Foundations of Data Science and Machine Learning with Python

    Skills you'll gain: Matplotlib, NumPy, Data Visualization, Data Manipulation, Linear Algebra, Seaborn, Natural Language Processing, Deep Learning, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Data Preprocessing, Data Science, Regression Analysis, Data Structures, Logistic Regression

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    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
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    60 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
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    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, Seaborn, Python Programming, NumPy, Data Analysis, Programming Principles, Data Cleansing, Exploratory Data Analysis

    3.9
    Rating, 3.9 out of 5 stars
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    7 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
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    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, Data Cleansing, Data Transformation, Data Manipulation, Query Languages, Analytics, GitHub, Data Integration, AI Enablement, Git (Version Control System), Performance Tuning

    4.1
    Rating, 4.1 out of 5 stars
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    17 reviews

    Beginner · Course · 1 - 3 Months

  • 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, Applied Machine Learning, Seaborn, Data Visualization, Regression Analysis, Pandas (Python Package), Statistical Machine Learning, Statistical Analysis, Machine Learning, Supervised Learning, Data Science, Scikit Learn (Machine Learning Library), Probability & Statistics, Python Programming, Unsupervised Learning, Data Analysis, Decision Tree Learning, NumPy, Data Manipulation

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    H

    Howard University

    Capstone: Data Science Problem in Linear Algebra Framework

    Skills you'll gain: Data Wrangling, Regression Analysis, Dimensionality Reduction, Data Science, Python Programming, Data Preprocessing, Predictive Modeling, Data Analysis, Linear Algebra, Exploratory Data Analysis, Model Evaluation

    4.4
    Rating, 4.4 out of 5 stars
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    8 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: New
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    R

    Real Madrid Graduate School Universidad Europea

    Applied Football Analytics - Looking at real-world cases

    Skills you'll gain: Data Synthesis, Data Integration, Data Literacy, Data Storytelling, Analysis, Case Studies, Business Analytics, Advanced Analytics, Analytical Skills, Strategic Decision-Making, Business Metrics, Forecasting, Media and Communications, Statistics, Persuasive Communication, Databases, Database Design, Innovation

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of London

    Applied Public History: Places, People, Stories

    Skills you'll gain: Public History, Storytelling, Program Evaluation, Media and Communications, Research, Community Outreach, Timelines, Case Studies, Cultural Diversity, Research Methodologies, Creativity, Interviewing Skills

    4.8
    Rating, 4.8 out of 5 stars
    ·
    113 reviews

    Beginner · Course · 1 - 3 Months

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

  • Applied No-Code AI for Business Processes: LearnQuest
  • Communicating Science: Illinois Tech
  • Machine Learning, Data Science and Generative AI with Python: Packt
  • AI Fundamentals for Non-Data Scientists: University of Pennsylvania
  • Foundations of Data Science and Machine Learning with Python: Packt
  • 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
  • Foundations of Data Science and Machine Learning with Python: Packt
  • Capstone: Data Science Problem in Linear Algebra Framework: Howard University

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