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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


  • J

    Johns Hopkins University

    Practical Machine Learning

    Skills you'll gain: Model Evaluation, Predictive Modeling, Machine Learning Algorithms, Model Training, Machine Learning Methods, Feature Engineering, Supervised Learning, Machine Learning Software, Classification And Regression Tree (CART), Predictive Analytics, Applied Machine Learning, Data Preprocessing, R Programming, Classification Algorithms, Machine Learning, Regression Analysis, Random Forest Algorithm

    4.5
    Rating, 4.5 out of 5 stars
    ·
    3.3K reviews

    Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    Introduction to Business Analysis Using Spreadsheets: Basics

    Skills you'll gain: Google Sheets, Data Visualization, Spreadsheet Software, Data Presentation, Plot (Graphics), Statistical Visualization, Data Analysis, Business Analytics, Descriptive Analytics, Productivity Software, Business Analysis, Data Manipulation, Google Workspace, Analytics, Descriptive Statistics, Statistics, Data Cleansing

    4.4
    Rating, 4.4 out of 5 stars
    ·
    1K reviews

    Beginner · Guided Project · Less Than 2 Hours

  • G

    Google

    AI for Writing and Communicating

    Skills you'll gain: Google Gemini, AI literacy, Report Writing, Public Speaking, Google Workspace, AI Personalization, Persona Development, AI Enablement, AI Workflows, User Feedback, Generative AI, Management Reporting, Stakeholder Analysis, AI Integrations, Artificial Intelligence, Responsible AI

    4.8
    Rating, 4.8 out of 5 stars
    ·
    237 reviews

    Beginner · Course · 1 - 4 Weeks

  • U

    University of Minnesota

    Recommender Systems

    Skills you'll gain: AI Personalization, Model Evaluation, Machine Learning Algorithms, Taxonomy, Decision Support Systems, Business Metrics, Applied Machine Learning, Test Data, Machine Learning, Dimensionality Reduction, Performance Metric, Spreadsheet Software, Data Collection, Performance Measurement, Analysis, Systems Design, Solution Design, Predictive Modeling, Microsoft Excel, Statistical Methods

    4.3
    Rating, 4.3 out of 5 stars
    ·
    833 reviews

    Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera

    Build a Machine Learning Web App with Streamlit and Python

    Skills you'll gain: Machine Learning Algorithms, Dashboard Creation, Classification Algorithms, Interactive Data Visualization, Data Visualization Software, Model Evaluation, Applied Machine Learning, Machine Learning, Scikit Learn (Machine Learning Library), Plot (Graphics), Web Applications, Logistic Regression, Predictive Modeling, Model Training, Data Science, Python Programming, Fine-tuning, Model Optimization, Pandas (Python Package)

    4.7
    Rating, 4.7 out of 5 stars
    ·
    417 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • V

    Vanderbilt University

    Microsoft 365 Copilot for Leaders

    Skills you'll gain: Prompt Patterns, AI powered creativity, Business Correspondence, Risking, Leadership Development, AI literacy, Writing, Business Leadership, Proposal Writing, Thought Leadership, Brainstorming, Proposal Development, Human Resource Strategy, Staff Management, AI Integrations

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.9K reviews

    Beginner · Specialization · 1 - 3 Months

  • P

    Packt

    SQL Bootcamp - From Zero to Job-Ready

    Skills you'll gain: SQL, Star Schema, Snowflake Schema, Database Theory, Databases, Database Management, Database Design, Relational Databases, Query Languages, Data Analysis, Data Management

    Intermediate · Course · 3 - 6 Months

  • C

    Coursera

    Databricks GenAI Engineering

    Skills you'll gain: Databricks, Generative AI, Prompt Engineering, Retrieval-Augmented Generation, Vector Databases, Context Engineering, Fine-tuning, LLM Application, MLOps (Machine Learning Operations), Large Language Modeling, Applied Machine Learning, Embeddings, Data Lakes, Model Evaluation, Model Optimization, Application Deployment, Acceptance Testing

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    AWS Machine Learning Specialty Certification Guide

    Skills you'll gain: Machine Learning Algorithms, AWS SageMaker, Applied Machine Learning, Model Evaluation, Model Deployment, Data Preprocessing, Data Transformation, Machine Learning Methods, Amazon Web Services, Data Processing, Machine Learning, Model Training, Cloud Deployment, Data Storage Technologies, Amazon S3, Model Optimization, Amazon Elastic Compute Cloud, Data Storage, AWS CloudFormation, AWS Identity and Access Management (IAM)

    Intermediate · Course · 1 - 3 Months

  • E

    Eindhoven University of Technology

    Improving your statistical inferences

    Skills you'll gain: Statistical Inference, Scientific Methods, Statistical Hypothesis Testing, Quantitative Research, Bayesian Statistics, Statistical Software, Statistical Analysis, Statistical Methods, Probability & Statistics, Sample Size Determination, Research, Data Literacy, General Science and Research, Data Sharing, Probability Distribution

    4.9
    Rating, 4.9 out of 5 stars
    ·
    802 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Optimizing AI Workflows and Deploying Edge Models

    Skills you'll gain: Model Optimization, PyTorch (Machine Learning Library), Model Evaluation, Model Deployment, MLOps (Machine Learning Operations), Model Training, AI Workflows, Tensorflow, Dataflow, Performance Tuning, Deep Learning, Dashboard, Data Pipelines, Grafana, Artificial Neural Networks, Data Processing, Resource Utilization, Performance Analysis, Performance Metric, Data Manipulation

    Intermediate · Course · 1 - 3 Months

  • U

    University of Colorado Boulder

    Modeling and Predicting Climate Anomalies

    Skills you'll gain: Statistical Analysis, Statistical Methods, Matplotlib, Regression Analysis, Machine Learning Methods, Statistical Modeling, Dimensionality Reduction, Unsupervised Learning, Machine Learning Algorithms, Applied Machine Learning, Machine Learning, Data Science, Environmental Policy, Data Analysis, Climate Change Programs, Energy and Utilities, Data Visualization, Pandas (Python Package), Environmental Issue, Climate Change Mitigation

    4.5
    Rating, 4.5 out of 5 stars
    ·
    14 reviews

    Intermediate · Specialization · 1 - 3 Months

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

  • Practical Machine Learning: Johns Hopkins University
  • Introduction to Business Analysis Using Spreadsheets: Basics: Coursera
  • AI for Writing and Communicating: Google
  • Recommender Systems: University of Minnesota
  • Build a Machine Learning Web App with Streamlit and Python: Coursera
  • Microsoft 365 Copilot for Leaders: Vanderbilt University
  • SQL Bootcamp - From Zero to Job-Ready: Packt
  • Databricks GenAI Engineering: Coursera
  • AWS Machine Learning Specialty Certification Guide: Packt
  • Improving your statistical inferences: Eindhoven University of Technology

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