Excel per HOUR - course 500 rub. from Stepik, training 11 lessons, Date: December 2, 2023.
Miscellaneous / / December 05, 2023
Stepik is an educational platform and online course designer.
We develop adaptive learning algorithms, collaborate with MOOC authors, and help conduct competitions and retraining programs.
Our goal is to make education open and convenient.
Stepik is a well-known Russian educational platform founded in 2013. More than a million users from Russia and the CIS countries are registered on Stepik. Currently, Stepik offers several thousand training courses on a variety of topics.
The Stepik platform includes a designer of free activities and lessons. Any registered user can create an interactive training course. At the same time, the authors of educational materials retain copyright. The service has no restrictions on the number of students per course.
Stepik has extensive capabilities for creating online courses, training sessions and lessons using texts, videos, pictures, test tasks, during which you can have discussions with other students, as well as with teacher. In total, Stepik contains 20 types of tasks, the verification of which can be carried out both automatically and manually.
A big advantage of this platform is the ability to embed created materials on third-party sites, for example, Moodle and Canvas.
In addition, Stepik can be used as a venue for various events, such as Olympiads and competitions.
The platform interface is completely Russian-language, quite friendly and intuitive. The platform is completely free.
For each course completed at Stepik, the student receives a certificate of completion. Obtaining a certificate is also free.
This course is a unique application development in Excel for an online store from scratch. A complete dive into VBA programming, from the very basics to advanced knowledge. Using a real project as an example, you will step by step create an Excel-based application
The purpose of the course is to study the capabilities of the program for data visualization.
The course continues to introduce students to the use of R for data analysis. In this course we will cover several advanced topics that were not covered in the first part: data preprocessing using the data.table and dplyr packages, advanced visualization techniques, working in R Markdown.