Data Analysis

Take your first steps to become a fully qualified data analyst by learning how to explore large relational datasets

Get valuable insights from your data by building data analysis systems from scratch with R.

Over 80 recipes to help you breeze through your data analysis projects using R

Get the most out of the popular Java libraries and tools to perform efficient data analysis

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

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

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

Learn, by example, the fundamentals of data analysis as well as several intermediate to advanced methods and techniques ranging from classification and regression to Bayesian methods and MCMC, which can be put to immediate use.

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.

Master data management & analysis techniques with IBM SPSS Statistics 24

Get to grips with processing large volumes of data and presenting it as engaging, interactive insights using Spark and Python.