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

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 pandas - a versatile and high-performance Python library for data manipulation, analysis, and discovery

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

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.