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
Logical Operations
Skills you'll gain: Seaborn, NumPy, Matplotlib, Data Transformation, Data Manipulation, Data Visualization Software, Pandas (Python Package), Plot (Graphics), Data Visualization, Jupyter, Scatter Plots, Data Science, Data Processing, Data Analysis, Box Plots, Python Programming, Graphing, Computer Programming, Computer Programming Tools, Software Development
Politecnico di Milano
Skills you'll gain: Health Policy, Economics, Policy, and Social Studies, Epidemiology, Crisis Management, Environmental Monitoring, Policty Analysis, Research, and Development, Emergency Response, Data Literacy, Spatial Data Analysis, Infection Control, Socioeconomics, Geographic Information Systems, Geospatial Information and Technology, Public Health, Public Health and Disease Prevention, Infectious Diseases, Data Science, Financial Systems, Financial Modeling, Finance
Skills you'll gain: Statistical Visualization, Data Presentation, Data Science, Computer Programming
The University of North Carolina at Chapel Hill
Skills you'll gain: Epidemiology, Public Health and Disease Prevention, Public Health, Infectious Diseases, Research Design, Health Policy, Research Methodologies, Biostatistics, Science and Research, Statistical Analysis, Chronic Diseases, Risk Analysis
Skills you'll gain: Health Policy, Cost Benefit Analysis, Data-Driven Decision-Making, Risk Modeling, Health Assessment, Analysis, Decision Making, Health Technology, Health Care, Value-Based Care, Cost Estimation, Estimation, Markov Model, Model Evaluation
Skills you'll gain: Matplotlib, Linear Algebra, Plot (Graphics), Data Visualization, NumPy, Scientific Visualization, Machine Learning Algorithms, Statistical Visualization, Pandas (Python Package), Applied Machine Learning, Data Science, Machine Learning, Data Analysis, Python Programming, Model Optimization, Data Manipulation, Classification Algorithms, Programming Principles, Regression Analysis, Data Structures
Skills you'll gain: Generative AI, Exploratory Data Analysis, Generative Model Architectures, Generative Adversarial Networks (GANs), Data Ethics, Feature Engineering, Predictive Modeling, Responsible AI, Data Science, Data Synthesis, Data Analysis, Data Visualization Software, Autoencoders
Skills you'll gain: Excel Formulas, Data Cleansing, Pivot Tables And Charts, Spreadsheet Software, Data Wrangling, Microsoft Excel, Data Analysis, Data Quality, Google Sheets, Data Manipulation, Data Integrity, Data Entry, Data Import/Export, Data Science, Information Privacy
University of Michigan
Skills you'll gain: Data Literacy, Statistical Hypothesis Testing, Scientific Methods, Data Analysis, Statistical Reporting, Experimentation, Science and Research, Research Design, Analytical Skills, General Science and Research, Research, Peer Review, Probability & Statistics, Journalism, Statistical Inference, Statistical Methods, Media and Communications, Research Methodologies
Skills you'll gain: Data Warehousing, Data Flow Diagrams (DFDs), Data Modeling, Data Pipelines, Ansible, Cloud Security, Diagram Design, Data Validation, Database Design, Apache Airflow, Star Schema, Snowflake Schema, Interviewing Skills, Apache Spark, PySpark, CI/CD, Docker (Software), SQL, Workflow Management, Git (Version Control System)
Skills you'll gain: Data Governance, Personally Identifiable Information, Information Privacy, Data Security, General Data Protection Regulation (GDPR), Data Ethics, Data Management, Law, Regulation, and Compliance, Security Strategy, Compliance Management, Regulatory Compliance, Risk Mitigation, Risk Analysis, Regulatory Requirements, Cross-Functional Team Leadership, Cross-Functional Collaboration, Role-Based Access Control (RBAC), Encryption, Accountability
Skills you'll gain: Interoperability, Medical Privacy, Clinical Data Management, Data Cleansing, Data Preprocessing, Health Informatics, Feature Engineering, Data Transformation, Health Insurance Portability And Accountability Act (HIPAA) Compliance, Data Quality, ICD Coding (ICD-9/ICD-10), Data Processing, Health Care, Health Information Management, Data Integration, Medical Records, Medical Coding, Data Validation, Electronic Medical Record, Machine Learning
In summary, here are 10 of our most popular applied data science courses
- Using Data Science Tools in Python: Logical Operations
- Data science perspectives on pandemic management: Politecnico di Milano
- Data Science Foundations: NumPy, Pandas & Visualization: Packt
- Epidemiology: The Basic Science of Public Health: The University of North Carolina at Chapel Hill
- Data Science in Health Technology Assessment: Genentech
- Python Fundamentals and Data Science Essentials: Packt
- Generative AI: Elevate Your Data Science Career: IBM
- Excel Basics for Data Analysis: IBM
- How Science Turns Data Into Knowledge: University of Michigan
- Open source Data Engineering with Spark, dbt & Airflow: Coursera
