Data Analysis

Become familiar with Kubernetes and explore techniques to manage your containerized workloads and services

Collect and scrape different complexities of data from the modern Web using the latest tools, best practices, and techniques

Build efficient forecasting models using traditional time series models and machine learning algorithms.

Unleash the full potential of SAS to get unique, actionable insights from your data

Learn exploratory data analysis concepts using powerful R packages to enhance your R data analysis skills

Master scala's advanced techniques to solve real-world problems in data analysis and gain valuable insights from your data

Get to grips with pandas—a versatile and high-performance Python library for data manipulation, analysis, and discovery

Learn how some Go-specific language features help to simplify building web scrapers along with common pitfalls and best practices regarding web scraping.

Simplify your ETL processes with these hands-on data hygiene tips, tricks, and best practices.

Learn a modern approach to data analysis using Python to harness the power of programming and AI across your data. Detailed case studies bring this modern approach to life across visual data, social media, graph algorithms, and time series analysis.

A practical guide for solving complex data processing challenges by applying the best optimizations techniques in Apache Spark.