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
Skills you'll gain: Graph Theory, Javascript, Program Development, Programming Principles, Software Design Patterns, Computational Thinking, Debugging, Development Environment, Computer Science, Performance Tuning
Status: Free TrialUniversity of Michigan
Skills you'll gain: Statistical Methods, Regression Analysis, Plot (Graphics), Data Cleansing, Statistical Hypothesis Testing, Correlation Analysis, Data Preprocessing, Matplotlib, Data Visualization, Statistical Analysis, Scatter Plots, R Programming, Data Analysis, Descriptive Statistics, Pandas (Python Package), Python Programming
Skills you'll gain: Data Wrangling, Command-Line Interface, Data Transformation, Data Processing, Data Pipelines, Google Cloud Platform, Data Integration, Data Management, Database Administration
Skills you'll gain: Data Structures, Graph Theory, Python Programming, Data Manipulation, Algorithms, Debugging
Status: Free TrialUniversity of Colorado Boulder
Skills you'll gain: Statistical Hypothesis Testing, Statistical Analysis, Sampling (Statistics), Statistical Methods, Microsoft Excel, Probability & Statistics, Data Analysis, Regression Analysis, Statistical Inference, Probability Distribution, Statistical Modeling
Skills you'll gain: Pandas (Python Package), Data Manipulation, Data Analysis, NumPy, Python Programming
Status: Free TrialSaïd Business School, University of Oxford
Skills you'll gain: Financial Inclusion, Responsible AI, Data Ethics, Data Governance, FinTech, Financial Data, AI Personalization, Mobile Banking, Data Sharing, Financial Regulation, Payment Systems, Financial Services, Open Source Technology, Finance, Business Ethics, Human Centered Design, Interoperability, Real Time Data, Product Design, Application Programming Interface (API)
Status: PreviewSkills you'll gain: Predictive Modeling, Predictive Analytics, Marketing Analytics, Statistical Machine Learning, Machine Learning, Data Science, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Statistical Analysis
Status: Free TrialSkills you'll gain: Apple iOS, Swift Programming, Mobile Development, UI Components, Animations, Apple Xcode, Data Storage, Cloud Storage, Responsive Web Design, User Interface (UI), Human Computer Interaction, Data Modeling
Status: FreeDeepLearning.AI
Skills you'll gain: Retrieval-Augmented Generation, Unstructured Data, LLM Application, Data Preprocessing, Metadata Management, JSON, Image Analysis, Data Transformation, Document Management, Vision Transformer (ViT)
Status: Free TrialSkills you'll gain: Data Structures, Java Programming, Java, Theoretical Computer Science, Programming Principles, Algorithms, Object-Relational Mapping, Computer Programming Tools
Status: NewSkills you'll gain: Apache Hadoop, Apache Hive, Extract, Transform, Load, Data Pipelines, Data Import/Export, Data Integration, MySQL, SQL, Database Development, Relational Databases, Data Validation
In summary, here are 10 of our most popular applied data science courses
- 70+ JavaScript Challenges - Data Structures and Algorithms: Packt
- Foundations of Sports Analytics: Data, Representation, and Models in Sports: University of Michigan
- Building Transformations and Preparing Data with Wrangler in Cloud Data Fusion: Google Cloud
- Data Structures Using Python - An Introduction: Packt
- Statistics and Data Analysis with Excel, Part 2: University of Colorado Boulder
- Master Data Analysis with Pandas: Learning Path 1 (Enhanced): Coursera
- Open Data and Intelligent Finance: Saïd Business School, University of Oxford
- Four Rare Machine Learning Skills All Data Scientists Need: SAS
- Advanced Navigation and Data Handling: Packt
- Preprocessing Unstructured Data for LLM Applications: DeepLearning.AI
