Introduction to Data Science
What you'll learn
- Understand what Data Science is and its application in business
- Learn to set up RStudio and the basics of R programming language#
- Recap some basic Data Science skills in Excel
- Learn the five-stage data scoping process, including querying data, importing data and checking and cleaning data
- Understand how to handle Big Data with R
- Learn about characterizing parameters and data segmentation
- Learn to calculate and combine probability
Business growth requires a mix of analytical skills (to manipulate data), business acumen (to apply findings to real-world situations) and statistics (to separate what's essential from what's not).
This is the 'data scientist' skillset, a job that has emerged to meet the increased demands and opportunities of the profusion of data generated by the web and modern technology.
This Data Science course teaches the analytical and statistical skills to allow students to turn data into actionable insights. It covers how to use an analytical toolkit consisting of widely available or free software (principally Microsoft Excel and the R programming language) to allow statistical analysis and visualization.
This course wrests data science back from the data scientist – it teaches the essential elements of data science to allow business generalists to solve real business problems themselves. It also provides an accelerated way for those interested in a career in data science.
Course Prerequisites
This Introduction to Data Science course assumes no existing knowledge of the topic. An understanding of data analysis principles is helpful but not essential.
Course Details
This Introduction to Data Science training uses a combination of text, bitesize videos, practice exercises and interactive knowledge checks.
