This is a hands-on guide that walks you through concepts with examples using built-in R data. Every topic is enriched with a supporting example that highlights the concept, followed by activities that will gradually build into a full data science project to showcase skills learned. You will perform an end-to-end analysis, starting a data science portfolio.
LESSON 1: INTRODUCTION TO R
LESSON 2: DATA VISUALIZATION AND GRAPHICS
LESSON 3: DATA MANAGEMENT
This course is for analysts who are looking to grow their data science skills beyond the tools they have used before, such as MS Excel and other statistical tools.
Hardware:
This course will require a computer system for the instructor and one for each student. The minimum hardware requirements are as follows:
Software:
This is a hands-on guide that walks you through concepts with examples using built-in R data. Every topic is enriched with a supporting example that highlights the concept, followed by activities that will gradually build into a full data science project to showcase skills learned. You will perform an end-to-end analysis, starting a data science portfolio.
LESSON 1: INTRODUCTION TO R
LESSON 2: DATA VISUALIZATION AND GRAPHICS
LESSON 3: DATA MANAGEMENT
This course is for analysts who are looking to grow their data science skills beyond the tools they have used before, such as MS Excel and other statistical tools.
Hardware:
This course will require a computer system for the instructor and one for each student. The minimum hardware requirements are as follows:
Software: