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.

Arizona State University
Skills you'll gain: Matplotlib, File I/O, NumPy, Plot (Graphics), Pandas (Python Package), Data Structures, Data Visualization Software, Data Analysis, Python Programming, Data Processing, Data Manipulation, Exploratory Data Analysis, Data Import/Export, Computer Programming
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Rmarkdown, R (Software), Data Import/Export, R Programming, Ggplot2, Data Manipulation, Plotly, Data Visualization, Web Scraping, Interactive Data Visualization, Data Visualization Software, Data Cleansing, Data Preprocessing, Data Transformation, Statistical Programming, Programming Principles, Data Structures
Beginner · Course · 1 - 3 Months

University of California San Diego
Skills you'll gain: Bioinformatics, Dimensionality Reduction, Unsupervised Learning, Molecular Biology, Classification Algorithms, Data Preprocessing, Machine Learning, Data Analysis Software, Life Sciences, Anthropology
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Splunk, Lightweight Directory Access Protocols, System Monitoring, Scripting, Dashboard, Business Intelligence, Scatter Plots, Pivot Tables And Charts, Servers, Data Visualization Software, Data-Driven Decision-Making, Software Installation, Role-Based Access Control (RBAC), Data Analysis Expressions (DAX), Data Pipelines, Authentications, Unstructured Data, Data Visualization, Windows Servers, Network Troubleshooting
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Data Structures, C++ (Programming Language), C and C++, Programming Principles, Algorithms, Theoretical Computer Science, Object Oriented Programming (OOP)
Intermediate · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Regression Analysis, Statistical Modeling, R Programming, Linear Algebra, Data Science, Mathematical Modeling, Data Modeling, Statistics, Statistical Analysis, Applied Mathematics, General Mathematics, Derivatives
Advanced · Course · 1 - 3 Months

Skills you'll gain: C# (Programming Language), Microsoft SQL Servers, Application Development, Data Validation, Application Design, Database Application, Business Reporting, SQL, Data Access, User Interface (UI), Issue Tracking, Data Integrity, User Interface (UI) Design, Data Management
Intermediate · Course · 1 - 4 Weeks

Johns Hopkins University
Skills you'll gain: Calculus, Applied Mathematics, Trigonometry, Mathematical Modeling, Algebra, Derivatives, Geometry
Intermediate · Course · 1 - 3 Months

ESSEC Business School
Skills you'll gain: Peer Review, Analytical Skills, Complex Problem Solving, Data Analysis, Data Storytelling, Value Propositions, Data Integration, Exploratory Data Analysis, Data-Driven Decision-Making, Data Visualization, Presentations
Mixed · Course · 1 - 3 Months

Skills you'll gain: Rmarkdown, Plot (Graphics), Ggplot2, Statistical Visualization, Box Plots, Scatter Plots, Data Visualization, Histogram, Descriptive Statistics, Data Visualization Software, Graphing, R Programming, Data Science
Beginner · Course · 1 - 3 Months

Skills you'll gain: Application Development, Event-Driven Programming, Application Design, User Interface (UI), Program Development, Development Environment, Data Integration
Intermediate · Course · 1 - 4 Weeks
University of Illinois Urbana-Champaign
Skills you'll gain: Anomaly Detection, Feature Engineering, Data Ethics, Machine Learning Algorithms, Classification Algorithms, Machine Learning, Statistical Machine Learning, Applied Machine Learning, Supervised Learning, Unsupervised Learning, Scikit Learn (Machine Learning Library), Model Evaluation, Data Preprocessing, Decision Tree Learning, Data Mining, Exploratory Data Analysis, Regression Analysis
Beginner · Course · 1 - 3 Months