Understanding New Data - Exploratory Analysis in R
Another best online exploratory data analysis course is Understanding New Data - Exploratory Analysis in R. The curriculum is divided into three main sections. Although this course doesn't have a focus on the basic concepts of statistics, some of the most important concepts are covered in the first section of the course. The two other sections have their focus on the initial and the exploratory data analysis phases respectively. Initial data analysis (or IDA for short) is where clean and shape the data into a form suitable for the planned methods. This is also where make sure the data makes sense from a statistical point of view. The IDA section present tools and methods that will help you figure out if the data was collected properly and if it is worthy of being analyzed.
On the other hand, the exploratory data analysis (EDA) section offers techniques to find out if the data can answer your analytical questions, or in other words, if the data has a relevant story to tell. This will spare you from investing time and effort into a project that will not deliver the results you hoped for. In an ideal case, the results of EDA may confirm that the planned analysis is worth it and that there are insights to be gained from that dataset and project. If you are interested in statistical methods and R tools that help you bridge the gap between data collection and confirmatory data analysis (CDA), then this program is for you. Take a look at the curriculum and give this course a try!
This course offers:
- Flexible deadlines: Reset deadlines based on your availability.
- Get a Certificate when you complete
- 100% online
- Beginner level
- Approximately 7 hours to complete
- Subtitles: English
Participants: 165
Enroll here: https://www.udemy.com/course/exploratory-analysis-in-r-data-analysis/
