Data Management Courses

Credential

Mastering Algorithms and Data Structures in PHP

Master essential PHP data structures and algorithms, from hash tables to linked lists, while learning optimal implementation strategies and problem-solving techniques for technical interviews and real-world applications.

• CodeSignal
• 10 hours
• Self-Paced
• Free Certificate
• 4 courses

Credential

Working with Different Files as Data Sources in PHP

Master PHP file handling techniques to efficiently process text, tables, JSON, and large datasets using compression and batch operations for robust data management solutions.

• CodeSignal
• 4 hours
• Self-Paced
• Free Certificate
• 4 courses

Credential

Working with Different Files as Data Sources in Java

Master efficient data manipulation in Java by learning to handle text, CSV, JSON, and large datasets through practical techniques and real-world applications.

• CodeSignal
• 4 hours
• Self-Paced
• Free Certificate
• 4 courses

Credential

Working with Different Files as Data Sources in Scala

Master file handling in Scala through hands-on practice with text, CSV, and JSON formats, while learning efficient techniques for processing and managing large-scale data operations.

• CodeSignal
• 4 hours
• Self-Paced
• Free Certificate
• 4 courses

Parsing Table Data in JS

Master techniques for parsing and writing scientific data in TXT and CSV formats using JavaScript, with practical skills for effective tabular data management.

• CodeSignal
• 1 hour
• Self-Paced
• Free Certificate

Parsing Table Data in TS

Master parsing and writing techniques for scientific data in TypeScript, working with TXT and CSV formats to effectively manage structured tabular data.

• CodeSignal
• 1 hour
• Self-Paced
• Free Certificate

Hierarchical and Structured Data Formats in TS

Explore JSON, XML, and structured data formats in TypeScript, learning to parse, construct, and manage complex datasets for data-driven applications.

• CodeSignal
• 1 hour
• Self-Paced
• Free Certificate

Parsing Table Data in Go

Master parsing and manipulating tabular data in Go, from using 2D slices and structs to handling CSV files and writing data to files, with practical techniques for scientific data management.

• CodeSignal
• 1 hour
• Self-Paced
• Free Certificate

Fundamentals of Text Data Manipulation in R

Master the essentials of text data manipulation in R, from efficient file reading and writing to line-by-line and character-by-character parsing techniques for handling textual data.

• CodeSignal
• 1 hour
• Self-Paced
• Free Certificate

Parsing Table Data in R

Discover practical techniques for parsing and writing tabular scientific data in R, working with both TXT and CSV formats to effectively manage structured data files.

• CodeSignal
• 1 hour
• Self-Paced
• Free Certificate

Hierarchical and Structured Data Formats in R

Dive into JSON, XML, and scientific data storage formats in R, learning to parse, construct, and manage complex structured datasets essential for data-driven applications.

• CodeSignal
• 1 hour
• Self-Paced
• Free Certificate

Advanced Built-In Data Structures and their Usage

Master advanced Python data structures like sorted maps, linked lists, queues, and stacks through hands-on practice with real-world applications and practical problem-solving scenarios.

• CodeSignal
• 5 hours
• Self-Paced
• Free Certificate

Advanced Built-In Data Structures and their Usage

Master advanced data structures like sorted maps, queues, and stacks through hands-on Java programming examples, from implementing browser history to building task schedulers and order processing systems.

• CodeSignal
• 5 hours
• Self-Paced
• Free Certificate

Genomic Data Science and Clustering (Bioinformatics V)

94 ratings at Coursera

Explore genomic data clustering techniques for gene expression analysis and human migration patterns. Learn algorithms for data point grouping and dimensionality reduction using principal components analysis.

• Coursera
• 9-10 hours
• Self-Paced
• Paid Course

Credential

Advanced Statistics for Data Science

797 ratings at Coursera

Comprehensive exploration of probability, statistics, and linear models for aspiring biostatisticians and data scientists. Covers mathematical foundations, hypothesis testing, regression, and R programming.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 4 courses