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.

Coursera
Skills you'll gain: Environmental Monitoring, Spatial Data Analysis, GIS Software, Geospatial Information and Technology, Geographic Information Systems, Data Literacy, Spatial Analysis, Geospatial Mapping, Data Visualization, Environmental Science, Model Evaluation, Data Validation, Verification And Validation, Data Manipulation
Beginner · Course · 1 - 4 Weeks

Vanderbilt University
Skills you'll gain: Prompt Engineering, ChatGPT, Prompt Patterns, LLM Application, AI literacy, AI Enablement, AI powered creativity, Artificial Intelligence, Large Language Modeling
★ 4.8 (7.9K) · Beginner · Course · 1 - 3 Months

Skills you'll gain: PyTorch (Machine Learning Library), Tensorflow, Logistic Regression, Applied Machine Learning, Predictive Modeling, Machine Learning Methods, Deep Learning, Regression Analysis, Machine Learning, Supervised Learning, Data Preprocessing, Statistical Methods, Data Processing, Probability & Statistics
★ 4.4 (1.9K) · Intermediate · Course · 1 - 3 Months

Skills you'll gain: Excel Formulas, Microsoft Excel, Data Cleansing, Spreadsheet Software, Data Validation, Complex Problem Solving, Data Analysis Software, Data Analysis, Statistical Analysis, Data Management
★ 4.7 (5.5K) · Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Classification And Regression Tree (CART), Decision Tree Learning, Large Language Modeling, Retrieval-Augmented Generation, LLM Application, Data Analysis, Applied Machine Learning, Keras (Neural Network Library), Machine Learning Methods, Model Evaluation, Model Training, Fine-tuning, Model Deployment, Generative AI, Text Mining, Prompt Engineering, Deep Learning, Random Forest Algorithm, Machine Learning, MLOps (Machine Learning Operations)
Intermediate · Course · 3 - 6 Months

Skills you'll gain: System Monitoring, Data Quality, Performance Tuning, Apache Spark, Data Validation, Data Pipelines, Query Languages, Debugging, Data Transformation, Anomaly Detection, PySpark, Performance Analysis, Extract, Transform, Load, Failure Analysis, SQL, Data Architecture, Data Processing, Benchmarking, Root Cause Analysis, Distributed Computing
Advanced · Specialization · 3 - 6 Months

Skills you'll gain: LangChain, LLM Application, Prompt Engineering, Responsible AI, Large Language Modeling, Hugging Face, Multimodal Prompts, Generative AI, Generative Model Architectures, Retrieval-Augmented Generation, Generative AI Agents, Risking, AI Orchestration, Fine-tuning, Python Programming, Vector Databases, Machine Learning, Agentic systems, Data Science
Beginner · Course · 3 - 6 Months

Skills you'll gain: Prompt Engineering, Prompt Patterns, Large Language Modeling, AI literacy, LLM Application, Content Creation
★ 4.8 (2.3K) · Beginner · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Geospatial Information and Technology, Environmental Monitoring, Spatial Data Analysis, Model Evaluation, Geographic Information Systems, GIS Software, Data Processing, Spatial Analysis, Image Analysis, Environmental Science, Data Analysis, Data Transformation, Verification And Validation, Technical Communication
Beginner · Course · 3 - 6 Months

Pragmatic AI Labs
Skills you'll gain: Data Cleansing, Rust (Programming Language), Data Pipelines, Data Transformation, Pandas (Python Package), Data Manipulation, Data Processing, Data Wrangling, Command-Line Interface, Data Quality, Extract, Transform, Load, Data Architecture, SQL, Data Integration, Data Import/Export, Data Science, Exploratory Data Analysis, Apache, Computer Programming
Beginner · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Tensorflow, Recurrent Neural Networks (RNNs), Natural Language Processing, Embeddings, Generative AI, Artificial Neural Networks, Text Mining, Model Training, Applied Machine Learning, Data Preprocessing, Machine Learning, Data Processing
★ 4.6 (6.5K) · Intermediate · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: Fine-tuning, MLOps (Machine Learning Operations), Model Deployment, Cloud Deployment, Pandas (Python Package), AWS SageMaker, NumPy, Microsoft Azure, Hugging Face, GitHub Copilot, Unit Testing, Responsible AI, DevOps, Cloud Computing, Python Programming, Machine Learning, GitHub, Big Data, Data Management, Data Analysis
★ 4.2 (612) · Advanced · Specialization · 3 - 6 Months