LIDA - Leeds Institute for Data Analytics

Consider these three facts: (a) There are more than 100 ways in which data can be of “low”' quality, (b) Data preparation (which includes data quality checks) often takes more than half of a data science project’s time, and (c) Few data scientists or analysts have had much training in data quality.

In this practical workshop, you will learn an efficient and rigorous method for investigating data quality that can save you time, reduce cost by avoiding re-work and improve your results.

Consider these three facts: (a) There are more than 100 ways in which data can be of “low”' quality, (b) Data preparation (which includes data quality checks) often takes more than half of a data science project’s time, and (c) Few data scientists or analysts have had much training in data quality.

In this practical workshop, you will learn an efficient and rigorous method for investigating data quality that can save you time, reduce cost by avoiding re-work and improve your results.

Consider these three facts: (a) There are more than 100 ways in which data can be of “low”' quality, (b) Data preparation (which includes data quality checks) often takes more than half of a data science project’s time, and (c) Few data scientists or analysts have had much training in data quality.

In this practical workshop, you will learn an efficient and rigorous method for investigating data quality that can save you time, reduce cost by avoiding re-work and improve your results.

Consider these three facts: (a) There are more than 100 ways in which data can be of “low”' quality, (b) Data preparation (which includes data quality checks) often takes more than half of a data science project’s time, and (c) Few data scientists or analysts have had much training in data quality.

In this practical workshop, you will learn an efficient and rigorous method for investigating data quality that can save you time, reduce cost by avoiding re-work and improve your results.