Data architecture courses can help you learn data modeling, database design, data warehousing, and cloud storage solutions. You can build skills in optimizing data flow, ensuring data integrity, and implementing data governance practices. Many courses introduce tools like SQL for database management, Apache Hadoop for big data processing, and ETL (Extract, Transform, Load) tools for data integration, demonstrating how these skills are applied in practical work.

Skills you'll gain: Reinforcement Learning, Generative Model Architectures, Deep Learning, Unsupervised Learning, Image Analysis, Artificial Neural Networks, Keras (Neural Network Library), Machine Learning Algorithms, Machine Learning, Artificial Intelligence, Computer Vision, Applied Machine Learning, Dimensionality Reduction, Natural Language Processing
Intermediate · Course · 1 - 3 Months

University of California, Irvine
Skills you'll gain: Artificial Intelligence, Machine Learning, Data Science, Data Analysis, Data Architecture, Needs Assessment, Big Data, System Requirements, Analytical Skills, Business Analysis, Cloud Computing Architecture, Cloud Engineering
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Matplotlib, Data Visualization, Seaborn, Exploratory Data Analysis, NumPy, Data Analysis, Jupyter, Data Science, Machine Learning, Python Programming, Supervised Learning, Algorithms
Beginner · Guided Project · Less Than 2 Hours

University of Cape Town
Skills you'll gain: Descriptive Statistics, Data Literacy, Plot (Graphics), Statistical Analysis, Statistical Visualization, Statistical Programming, Biostatistics, Statistical Hypothesis Testing, Quantitative Research, Deep Learning, Regression Analysis, Data Manipulation, Machine Learning
Beginner · Course · 1 - 4 Weeks
DeepLearning.AI
Skills you'll gain: Data Analysis, Jupyter, Exploratory Data Analysis, Artificial Intelligence, Machine Learning, Predictive Modeling, Applied Machine Learning, Responsible AI, Supervised Learning, Information Privacy, Deep Learning, Environmental Monitoring, Public Health
Beginner · Course · 1 - 4 Weeks
University of Washington
Skills you'll gain: Unsupervised Learning, Supervised Learning, Predictive Analytics, Statistical Modeling, R Programming, Statistical Methods, Decision Tree Learning, Statistical Inference, Statistical Analysis, Machine Learning Algorithms, Machine Learning, Graph Theory, Probability & Statistics, Network Analysis, Big Data, Sampling (Statistics), Random Forest Algorithm
Mixed · Course · 1 - 4 Weeks

New York University
Skills you'll gain: Supervised Learning, Applied Machine Learning, Machine Learning, Statistical Methods, Artificial Neural Networks, Predictive Modeling, Scikit Learn (Machine Learning Library), Regression Analysis, Deep Learning, Financial Services, Finance, Tensorflow, Jupyter, Reinforcement Learning
Intermediate · Course · 1 - 4 Weeks

Edureka
Skills you'll gain: Generative AI, LLM Application, Large Language Modeling, Generative Model Architectures, Tensorflow, ChatGPT, OpenAI, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Responsible AI, Prompt Engineering, Applied Machine Learning, Machine Learning, Deep Learning, Machine Learning Algorithms, Computer Vision, Predictive Modeling, Supervised Learning, Text Mining, Image Analysis
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: Supervised Learning, Regression Analysis, Predictive Modeling, Machine Learning, Statistical Modeling, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library), Feature Engineering, Statistical Analysis, Performance Metric
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Apache Spark, Machine Learning, Generative AI, PySpark, Applied Machine Learning, Supervised Learning, Apache Hadoop, Data Pipelines, Unsupervised Learning, Feature Engineering, Data Processing, Extract, Transform, Load, Predictive Modeling, Data Transformation, Regression Analysis
Intermediate · Course · 1 - 4 Weeks

University of Alberta
Skills you'll gain: Reinforcement Learning, Sampling (Statistics), Machine Learning Algorithms, Simulations, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Algorithms, Predictive Modeling, Probability Distribution
Intermediate · Course · 1 - 3 Months

New York University
Skills you'll gain: Supervised Learning, Reinforcement Learning, Applied Machine Learning, Machine Learning, Statistical Methods, Dimensionality Reduction, Unsupervised Learning, Artificial Neural Networks, Decision Tree Learning, Predictive Modeling, Financial Trading, Financial Market, Derivatives, Scikit Learn (Machine Learning Library), Markov Model, Regression Analysis, Market Dynamics, Risk Modeling, Tensorflow, Financial Modeling
Intermediate · Specialization · 3 - 6 Months