What You Should Know About the Data Science Course

If you’re interested in working with data and want to learn new tools, this blog is for you. Meet Otar Samadashvili, a commschool graduate, who will share his impressions about the data science program.

Otar became interested in data science while studying mathematics and statistics courses at university. He was always attracted to solving complex problems and drawing conclusions based on data. Given his interests and skills, he decided to start studying data science and develop his career in this direction. Otar had a basic knowledge of Python, which was a good starting point for this field. His goal was to transform the theoretical knowledge gained at the university into practical skills, for which he decided to take the Commschool data science course.

"I chose Commschool because of their practical approach, the opportunity to work on interesting projects, and the experienced lecturer. Additionally, the syllabus was well-organized and covered many interesting topics. It was also pleasant to meet students with the same interests. In my opinion, communicating and discussing with them live during lectures was quite productive."

Data Science: What Does the Course Cover?

As Otar notes, he expected it to be a quite intensive and laborious course, and therefore had high expectations. Despite this, the program still exceeded his expectations. For him, the most valuable aspects were practical projects and working with real data. Otar was able to develop both technical and soft skills. The main challenge for him was absorbing a large amount of information in a short time. However, with intensive practice and study, he easily overcame this difficulty. As a result, he is already using the skills and paradigms acquired in the course at work.

Data Science Course

32 lectures | 96 hours | 16 weeks

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"In my opinion, the most important thing gained from the course during the final project was the soft skills, as I could ask the right questions, conduct correct experiments, and develop a proper model evaluation system. All of this simplifies the technical part as well, because executing a well-designed plan is much easier."

Within the data science course, you will learn to process big data using Python, build and apply machine learning algorithms and adapt them to business models, and use artificial intelligence (AI) and large language models (LLM). The program includes practice-based learning, which will give you the opportunity to gain practical experience along with theoretical knowledge. The final individual project is the most interesting part of the course, which represents a kind of summary of the material studied throughout the program.

Skills Needed for a Data Scientist

According to Otar, technical skills such as mathematics, statistics, and programming are essential for a data scientist. In his opinion, this technical part is well covered during the course, as they were able to learn relatively complex machine learning topics more easily and comprehensively. In addition to technical skills, it’s also necessary to develop soft skills in this field. For example, effective communication, analytical thinking, and asking the right questions. Otar notes that many courses don’t cover such issues, so it was pleasant that he had the opportunity to develop and improve these skills at commschool.

"In my opinion, learning data science and continuing a career in this direction is the right choice for many people."

For those interested in data science, Otar advises starting with learning the basics of programming. Work on practical projects in parallel and, most importantly, don’t be afraid of challenges and be ready for intensive learning. It’s also important to keep an eye on current events in this direction, as the data field is developing very rapidly.

After completing the course, Otar continues self-development, learning, and working on personal projects. If you’re ready for new adventures, then familiarize yourself with the course syllabus and join us at Commschool!