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.

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

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
Intermediate · Course · 1 - 3 Months

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
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Stakeholder Engagement, Business Intelligence, Business Intelligence Software, Stakeholder Communications, Stakeholder Analysis, Data-Driven Decision-Making, Dashboard, Real Time Data, Data Integration, Data Modeling, Project Design, Data Analysis, Business Metrics, Plan Execution, Dashboard Creation, Business Process Improvement, Business Process, Project Implementation, Data Pipelines, Continuous Monitoring
Advanced · Course · 1 - 4 Weeks

Skills you'll gain: Prompt Engineering, Retrieval-Augmented Generation, LLM Application, Large Language Modeling, Reinforcement Learning, Artificial Intelligence and Machine Learning (AI/ML), LangChain, AI Orchestration, Natural Language Processing, Generative AI Agents, Agentic Workflows, Multimodal Prompts, AI Integrations, Artificial Intelligence, Agentic systems, Machine Learning Methods, Python Programming, Machine Learning, System Design and Implementation, Data Science
Intermediate · Specialization · 1 - 3 Months

Skills you'll gain: SAS (Software), Statistical Reporting, Data Import/Export, Data Validation, Data Access, Data Manipulation, Statistical Programming, Exploratory Data Analysis, Data Analysis Software, Data Preprocessing, Data Analysis, Data Transformation, SQL, Data Presentation, Microsoft Excel, Descriptive Statistics
Beginner · Course · 1 - 3 Months

Skills you'll gain: Data Cleansing, Analytical Skills, Data Wrangling, SQL, Data Preprocessing, Data Analysis, Data Manipulation, Query Languages, Problem Solving, Case Studies, GitHub, Relational Databases, Analytical Testing, Data Modeling
Beginner · 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
Beginner · Course · 1 - 4 Weeks

University of Washington
Skills you'll gain: Regression Analysis, Model Evaluation, Predictive Modeling, Supervised Learning, Statistical Machine Learning, Statistical Modeling, Model Training, Applied Machine Learning, Machine Learning Algorithms, Machine Learning Methods, Feature Engineering, Machine Learning, Data Preprocessing, Model Optimization, Statistical Methods
Mixed · Course · 1 - 3 Months
SAS
Skills you'll gain: Data Manipulation, SAS (Software), Data Access, Data Import/Export, Microsoft Excel, Statistical Reporting, Data Processing, Requirements Analysis, Data Transformation, Statistical Programming, Data Validation, Analysis, Statistical Analysis, Data Analysis, Exploratory Data Analysis, Data Wrangling, Data Analysis Software, Data Preprocessing, Data Integration, Statistical Software
Build toward a degree
Beginner · Professional Certificate · 3 - 6 Months

Duke University
Skills you'll gain: PyTorch (Machine Learning Library), Logistic Regression, Machine Learning Methods, Transfer Learning, Reinforcement Learning, Convolutional Neural Networks, Deep Learning, Image Analysis, Applied Machine Learning, Model Training, Natural Language Processing, Machine Learning, Model Optimization, Artificial Neural Networks, Supervised Learning, Unsupervised Learning, Python Programming, Computer Vision, Medical Imaging
Intermediate · Course · 1 - 3 Months

Erasmus University Rotterdam
Skills you'll gain: Econometrics, Time Series Analysis and Forecasting, Regression Analysis, Logistic Regression, Statistical Methods, Data Analysis, Economics, Trend Analysis, Analytics, Statistical Analysis, Quantitative Research, Analysis, Statistical Modeling, Statistics, Predictive Analytics, Case Studies, Forecasting, Probability & Statistics, Statistical Inference, Estimation
Mixed · Course · 1 - 3 Months