Engineering and Technology
In this course, you will learn to read CSV, XLS, and text files in R using tools like readxl and data.table.
Importing data into R is a crucial step in any analysis, but it can often be challenging. Data can be found in various formats, such as .csv, text files, statistical software files, databases, and HTML data. Understanding the appropriate approach to use is essential for initiating the analysis process. In this course, you will gain proficiency in reading .csv and text files in R. Additionally, you will explore the readr and data.table packages, which provide efficient and straightforward methods for importing flat file data. Furthermore, you will acquire the skills to read .xls files in R using readxl and gdata.
by DataCamp
In this course, you will learn to read CSV, XLS, and text files in R using tools like readxl and dat...
by DataCamp
Learn to import data into Python from various sources, such as Excel, SQL, SAS and right from the we...
by DataCamp
Learn how to make predictions about the future using time series forecasting in R including ARIMA mo...
by DataCamp
This course is an introduction to linear algebra, one of the most important mathematical topics unde...
by DataCamp
Explore the basics of data quality management. Learn the key concepts, dimensions, and techniques fo...
by DataCamp
Understand the fundamentals of Machine Learning and how it's applied in the business world.
by DataCamp
Master the basics of data analysis in R, including vectors, lists, and data frames, and practice R w...
by DataCamp
Master the basics of data analysis with Python in just four hours. This online course will introduce...
by DataCamp
Learn A/B testing: including hypothesis testing, experimental design, and confounding variables.
by DataCamp
Learn how to implement and schedule data engineering workflows.