In this hour-long guided project, you will delve into the process of importing diverse datasets into R. Whether it's CSV files, Excel spreadsheets, data from other statistical software, web data, or relational databases, this course equips you with the skills to handle them all.
Throughout the course, you will acquire the expertise to seamlessly import and manipulate data from a wide array of sources. From extracting data from web pages to connecting and reading relational databases, you will gain a comprehensive understanding of data importation in R.
By the end of the course, you will have honed your ability to import various data formats and sources into R, effectively expanding your data handling capabilities.
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Get Started / More InfoAI for Scientific Research specialization teaches the complete machine learning process, employing AI to predict sequences in scientific datasets.
Python Data Products for Predictive Analytics empowers learners to master Python for data-driven predictive tasks, statistical models, and machine learning deployments...
Learn data analysis in R using RStudio and Tidyverse without installing anything. Gain foundational knowledge, hands-on experience, and instant feedback for a truly...
This course offers comprehensive guidance on creating reproducible templates for analysis and dissemination, utilizing RStudio and R Markdown.