Data Analysis

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

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

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

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

Analyze and visualize your data to make it compelling and meaningful

The goal of this course is to learn how to use Python and Spark to ingest, process, and analyze large volumes of data with different structures to generate insights and useful metrics from the data, walking through real-life examples and use cases.

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

Get to grips with the most popular Python packages that make Data Analysis possible

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.

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

Analyze data quickly and easily with Python's powerful panda library! All datasets included --- beginners welcome!

Master data management & analysis techniques with IBM SPSS Statistics 24

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

Plot your data in Scala and Deeplearning4j