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
University of California San Diego
Skills you'll gain: Model Deployment, Data Manipulation, MLOps (Machine Learning Operations), Web Frameworks, Model Evaluation, Applied Machine Learning, Flask (Web Framework), Data Preprocessing, Django (Web Framework), Web Applications, Model Optimization, Data Cleansing, AI Personalization, Predictive Modeling, Machine Learning, Machine Learning Algorithms, Python Programming
Skills you'll gain: Model Deployment, Application Deployment, Model Optimization, Cloud Deployment, Fine-tuning, Containerization, Large Language Modeling, Docker (Software), Model Evaluation, API Design, Performance Tuning, Scalability, Memory Management
Johns Hopkins University
Skills you'll gain: R (Software), Object Oriented Programming (OOP), Object Oriented Design, R Programming, Debugging, Code Reusability, Functional Design, Programming Principles, Data Structures, Performance Tuning, Performance Testing
DeepLearning.AI
Skills you'll gain: Natural Language Processing, Markov Model, Embeddings, Data Preprocessing, Artificial Neural Networks, Machine Learning Methods, Algorithms, Data Cleansing, Probability & Statistics
Skills you'll gain: Vector Databases, Hugging Face, MongoDB, Embeddings, NoSQL, AI Personalization, Artificial Intelligence, PostgreSQL, Relational Databases, Database Management Systems, Generative AI, Operational Databases, SQL, Databases, Database Systems, LLM Application, Query Languages, Applied Machine Learning, Machine Learning, Data Science
Skills you'll gain: Classification Algorithms, Supervised Learning, Model Evaluation, Data Preprocessing, Logistic Regression, Machine Learning Algorithms, Decision Tree Learning, Applied Machine Learning, Model Training, Statistical Machine Learning, Predictive Modeling, Business Logic, Machine Learning Methods, Scikit Learn (Machine Learning Library), Data Cleansing, Machine Learning, Regression Analysis, Random Forest Algorithm, Model Optimization, Sampling (Statistics)
Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Generative Model Architectures, Data Ethics, Generative AI Agents, AI Personalization, Mobile Development, AI powered creativity, Software Design Documents, Software Design, Prompt Engineering Tools, Anthropic Claude, Mobile Development Tools, LLM Application, AI literacy, iOS Development, Machine Learning Software, Software Development
Skills you'll gain: Model Deployment, Tensorflow, Keras (Neural Network Library), Cloud Deployment, Google Cloud Platform, Data Pipelines, Model Training, Model Optimization, Deep Learning, Data Preprocessing, Artificial Neural Networks, Data Processing, Machine Learning, Python Programming, Data Transformation, Application Programming Interface (API)
University of Alberta
Skills you'll gain: Reinforcement Learning, Machine Learning Methods, Sampling (Statistics), Machine Learning Algorithms, Simulations, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Algorithms, Applied Machine Learning, Probability Distribution
Skills you'll gain: Model Optimization, Fine-tuning, Model Deployment, Data Preprocessing, Model Training, Model Evaluation, Technical Communication, Computer Vision, Image Analysis, Application Deployment, Technical Documentation, Technical Writing, Professional Development, Professional Networking, Artificial Intelligence and Machine Learning (AI/ML), Data Pipelines, Storytelling
Google Cloud
Skills you'll gain: Model Optimization, Convolutional Neural Networks, Tensorflow, Model Training, Computer Vision, Image Analysis, Transfer Learning, Applied Machine Learning, Model Evaluation, Artificial Neural Networks, Fine-tuning, Deep Learning, Google Cloud Platform, Data Preprocessing, Classification Algorithms, Small Data, Cloud API
Microsoft
Skills you'll gain: Unsupervised Learning, Microsoft Azure, Applied Machine Learning, Machine Learning Software, Model Training, Regression Analysis, Predictive Modeling, Machine Learning, No-Code Development, Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Model Deployment, Artificial Intelligence, Classification Algorithms, Supervised Learning
In summary, here are 10 of our most popular applied data science courses
- Deploying Machine Learning Models: University of California San Diego
- Deploying Deep Learning: Quantization, Serving, and Edge AI: Board Infinity
- Advanced R Programming: Johns Hopkins University
- Natural Language Processing with Probabilistic Models: DeepLearning.AI
- Vector Database Fundamentals: IBM
- Supervised Machine Learning: Classification: IBM
- Generative AI for Mobile App Developers: IBM
- Build, Train and Deploy ML Models with Keras on Google Cloud: Google Cloud
- Sample-based Learning Methods: University of Alberta
- Advancing Your Career in Computer Vision Engineering: Coursera
