Data Science: Tools and Techniques for Data Analytics
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This courses provides an in-depth look at data science techniques and provides attendees with a working knowledge of the most popular data science tools in use today. The techniques learned can be applied to both small and Big Data sets, and on many types of data. Theoretical concepts are combined with hands-on exercises to give attendees the skills to derive valuable insights from real data.
Duration: 4 days
Cork Date: 15-18 May
Dublin Date: 22-25 May
This course is also available as a customised client specific course.
Some experience of programming useful but not necessary.
At the end of this course, attendees will be able to:
Understand the stages in a data analysis project
Select the appropriate analysis tool to suit the data and project requirements
Use R, R Studio and many of the R packages to carry out data exploration.
Use Python to derive insights from data
Use the most popular Python packages to carry out data analysis
Visualise data relationships using R, Python and other tools
Use big data tools when necessary
Use cloud APIs (Google or Amazon) on data sets
Streamline and organise their data analysis work
Who should attend:
Data Analysts, Developers, Business Consultants .
Introduction to Data Science
Sample Data science problem
Types of data
Exploring data with excel
Introduction to R
Basic Data exploration with R
Introduction to python
Flow of control