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.

Amazon Web Services
Skills you'll gain: Data-Driven Decision-Making, Data Lakes, Analytics, Data Architecture, Data Warehousing, Data Management, Data Analysis, Big Data, Business Analytics, Data Storage, Amazon Web Services, Machine Learning, Data Strategy
Mixed · Course · 1 - 4 Weeks

National Taiwan University
Skills you'll gain: Reinforcement Learning, Deep Learning, Theoretical Computer Science, Classification Algorithms, Artificial Neural Networks, Artificial Intelligence, Machine Learning, Model Evaluation, Autoencoders, Convolutional Neural Networks, Supervised Learning, Computer Science, Decision Tree Learning, Algorithms
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Data Governance, Data Strategy, Data Management, Data Modeling, Data Quality, Data Literacy, Data Integration, Metadata Management, Data Transformation, Data-Driven Decision-Making, Taxonomy, Business Priorities, Data Pipelines, Sprint Retrospectives, Process Improvement, Sprint Planning
Beginner · Course · 1 - 3 Months

DeepLearning.AI
Skills you'll gain: Tensorflow, Transfer Learning, Deep Learning, Keras (Neural Network Library), Convolutional Neural Networks, Artificial Neural Networks, Model Evaluation
Intermediate · Course · 1 - 3 Months

University of California, Irvine
Skills you'll gain: Smart Goals, Interviewing Skills, Negotiation, Workforce Planning, Professional Development, Compensation and Benefits, Recruitment, Data Science, Technical Consulting, Communication, Information Technology
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Regression Analysis, Exploratory Data Analysis, Model Evaluation, Scikit Learn (Machine Learning Library), Supervised Learning, Applied Machine Learning, Machine Learning, Data Preprocessing, Deep Learning, Statistical Analysis, Data Analysis, Artificial Neural Networks, Data Import/Export, Matplotlib, Python Programming
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: PyTorch (Machine Learning Library), Large Language Modeling, Embeddings, Generative AI, Natural Language Processing, Transfer Learning, Recurrent Neural Networks (RNNs), Data Ethics, Artificial Neural Networks, Classification Algorithms, Model Evaluation, Data Preprocessing, Feature Engineering
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, ChatGPT, Keras (Neural Network Library), Applied Machine Learning, Tensorflow, Data Preprocessing, Image Analysis, Machine Learning Methods, Data Import/Export, Machine Learning, Python Programming, Performance Tuning, Artificial Neural Networks
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Data Ethics, AI Security, Responsible AI, Information Privacy, Personally Identifiable Information, Machine Learning, Artificial Intelligence, Data Integrity, Data Security, Vulnerability Assessments, Data Governance, Predictive Modeling
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Data Preprocessing, Exploratory Data Analysis, Feature Engineering, Model Deployment, Data Analysis, PySpark, Data Import/Export, Data Transformation, Apache Spark, Decision Tree Learning, Customer Analysis, Predictive Modeling, Predictive Analytics, Machine Learning
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Data Preprocessing, Model Deployment, Model Evaluation, Supervised Learning, Decision Tree Learning, Applied Machine Learning, Predictive Modeling, Random Forest Algorithm, Feature Engineering, SAS (Software), Machine Learning, Data Analysis, Business Analysis, Artificial Neural Networks, Classification Algorithms, No-Code Development, Statistical Programming
Intermediate · Course · 1 - 3 Months

University of London
Skills you'll gain: Pandas (Python Package), NumPy, Probability & Statistics, Unsupervised Learning, Statistics, Data Analysis, Statistical Analysis, Jupyter, Data Manipulation, Machine Learning Algorithms, Descriptive Statistics, Matplotlib, Data Visualization Software, Python Programming, Machine Learning, Data Preprocessing
Beginner · Course · 1 - 4 Weeks