Learn the practical uses of A/B testing in Python to run and analyze experiments. Master p-values, sanity checks, and analysis to guide business decisions.

Learn the basics of A/B testing in R, including how to design experiments, analyze data, predict outcomes, and present results through visualizations.

Learn the fundamentals and strategies for interviewing for a data science job.

The third course in this course series is Achieving Advanced Insights with BigQuery.

Learn key technologies and techniques, including R and Apache Spark, to analyse large-scale data sets to uncover valuable business information.

Further develop your knowledge of big data by applying the skills you have learned to a real-world data science project.

Learn the core concepts of computational thinking and how to collect, clean and consolidate large-scale datasets.

Learn how to apply fundamental programming concepts, computational thinking and data analysis techniques to solve real-world data science problems.

This course will teach you advanced querying, indexing, and data analysis skills.

This Free Online Course Includes: 15-20 Hours of Learning CPD Accreditation Final Assessment

Companies have been aggressively working to harvest their large quantities of data and derive meaningful results from them. The first and most important step is to understand how to represent that data and perform mathematical computations.

Learn to handle complex data-sets and analyze your data in a principled way with Pandas. This course will teach you advanced parts of this library, including handling higher-dimensional data, time series, window operations, joins, and plotting.