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

Build high-performance, distributed, and parallel applications in Dask

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.

Use PySpark to productionize analytics over Big Data and easily crush messy data at scale

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.

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

Perform real-time data analytics with Hadoop

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

Get idiomatic solutions to common data problems while working on real-world datasets and get surprising insights from the pandas library

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