Data Lakes courses can help you learn data ingestion, storage management, data processing, and analytics techniques. You can build skills in data governance, schema design, and optimizing query performance. Many courses introduce tools like Apache Hadoop, Amazon S3, and Apache Spark, demonstrating how these technologies support efficient data handling and analysis. You'll also explore key topics such as data architecture, ETL processes, and data security, equipping you with practical knowledge to manage large datasets effectively.

Beginner · Course · 1 - 4 Weeks
Skills you'll gain: Apache Kafka, Real Time Data, Apache Spark, Dashboard, PySpark, Data Pipelines, Business Intelligence, Data Persistence, JSON, Continuous Monitoring, Business Metrics, Data Integrity, Scalability
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Looker (Software), Customer Retention, Web Analytics, Customer Analysis, Customer Insights, Marketing Analytics, Trend Analysis, Data Analysis, Product Management, Performance Metric, Analysis, Time Series Analysis and Forecasting, Strategic Marketing, Marketing Channel, Forecasting
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Data Storytelling, Dashboard, Data Visualization, Key Performance Indicators (KPIs), System Monitoring, Performance Analysis, Business Intelligence, Data Visualization Software, Performance Metric, Continuous Monitoring, Budget Management, Cost Management, Decision Making
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Data Modeling, Operational Databases, Performance Tuning
Intermediate · Course · 1 - 4 Weeks

Arizona State University
Skills you'll gain: Bayesian Statistics, Statistical Modeling, Bayesian Network, Statistical Methods, Statistical Analysis, Data Analysis, R Programming, Data-Driven Decision-Making, Statistical Inference, Markov Model, Simulations, Probability Distribution
Intermediate · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Recurrent Neural Networks (RNNs), Artificial Intelligence and Machine Learning (AI/ML), Vision Transformer (ViT), PyTorch (Machine Learning Library), Keras (Neural Network Library), Large Language Modeling, Natural Language Processing, Embeddings, Network Model, Network Architecture
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Prompt Engineering, Large Language Modeling, Generative AI, Retrieval-Augmented Generation, Generative Model Architectures, PyTorch (Machine Learning Library), Vector Databases, LLM Application, Generative Adversarial Networks (GANs), Embeddings, Natural Language Processing, Hugging Face, Transfer Learning, Data Pipelines, Recurrent Neural Networks (RNNs), Text Mining, Data Ethics, Data Preprocessing, Artificial Intelligence, Performance Tuning
Intermediate · Specialization · 3 - 6 Months

Coursera
Skills you'll gain: Google Analytics, Web Analytics and SEO, Search Engine Optimization, Web Analytics, Content Performance Analysis, Keyword Research, Prioritization, Data Import/Export, Workflow Management, Content Strategy, Data Integration, User Research, Performance Metric
Beginner · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: Deep Learning, MLOps (Machine Learning Operations), Responsible AI, Model Evaluation, Data Ethics, Data Management, Project Management Life Cycle, Unsupervised Learning, Human Computer Interaction, User Experience Design, Classification And Regression Tree (CART), Data Quality, Model Deployment, Data Preprocessing, Human Centered Design, Machine Learning, Project Management, Product Management, Product Design, Data Science
Beginner · Specialization · 3 - 6 Months

DeepLearning.AI
Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Cloud Deployment, Continuous Deployment, Model Evaluation, Data Preprocessing, Machine Learning, Applied Machine Learning, Data Validation, Feature Engineering, Data Quality, Debugging, Continuous Monitoring, Data Pipelines
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: PyTorch (Machine Learning Library), Distributed Computing, Data Pipelines, Performance Tuning, MLOps (Machine Learning Operations), Deep Learning, AI Workflows, Model Deployment, Scalability, LLM Application, Hardware Architecture, Machine Learning, Computer Architecture
Beginner · Course · 1 - 3 Months