Data Analysis

Leverage the analytical power of SAS to perform financial analysis efficiently

Build reporting applications and dashboards using the different MicroStrategy objects

Explore Python frameworks like pandas, Jupyter notebooks, and Matplotlib to build data pipelines and data visualization

Create and share livecode, equations, visualizations, and explanatory text, in both a single document and a web browser with Jupyter

Text processing and pattern matching simplified

Leverage the power of the popular Jupyter notebooks to simplify your data science tasks without any hassle

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

Add a touch of data analytics to your healthcare systems and get insightful outcomes

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 the most popular Python packages that make Data Analysis possible

Understanding the concept Dark Web and Dark Net to utilize it for effective cybersecurity

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

Put your Haskell skills to work and generate publication-ready visualizations in no time at all.

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