For those looking to step into the world of data science or elevate their skills, DataScientest is a name that often comes up.
Based in Paris, this leading institution has helped countless professionals find their footing in data science, and one of its advocates, Baris Ersoy—a seasoned database developer with over 15 years of experience—shares his insights on why it stands out as an exceptional choice for continuous training.
Why DataScientest?
According to Baris, DataScientest offers a “structured and enriching” learning experience. From the beginning, the program’s entrance exam ensures that students have a foundational grasp of coding, statistics, and linear algebra—skills that are critical for any data scientist. This rigorous start is followed by ongoing evaluations and hands-on projects that bridge the gap between theory and application, providing students with real-world skills.
Baris appreciates the thoughtful structure of the curriculum, created by a combination of IT experts and educators who ensure that each concept is clear and practical. The program is designed to foster genuine learning, where understanding is prioritized over shortcuts.
Support Every Step of the Way
One of DataScientest’s defining features is its comprehensive support system. Through expert chats, forums, and group sessions, students are never alone in their journey. Baris explains that while the exams can be challenging, “dedication will see you through.” The high standards of the program require students to demonstrate their skills, but help is always available. DataScientest’s commitment to producing skilled graduates means that quality and understanding are paramount.
Though minor imperfections like typos occasionally appear, Baris notes that they are quickly addressed. While the program might seem costly at first glance, he emphasizes that the level of education provided is well worth the investment.
Tips for Thriving in the Continuous Training Program
Baris has distilled his own strategies for success, offering a practical guide for anyone considering or currently enrolled in DataScientest’s program:
- Keep Up with the Sprints
Staying on schedule is crucial. Although extensions are an option, Baris advises sticking to the timeline to leave ample time for the final project, which can be the most intensive part of the course. - Take Exams on Time
Exams may be nerve-wracking, but Baris recommends not postponing them. Retakes are part of the learning process, so he suggests taking exams strategically rather than delaying out of anxiety. - Embrace Failure as a Learning Opportunity
It’s normal not to pass every exam on the first try—Baris points out that over 50% of students may face setbacks. He sees these moments as integral to the growth process, encouraging students to view them as stepping stones rather than obstacles. - Experiment and Engage with Code
Dive into each lesson, try different solutions, and actively apply what you’re learning. Baris urges students to use every resource available, from cohort leaders to forums and Python documentation, to deepen their understanding. - Revisit the Basics
Key concepts like Python for data science and exploratory statistics come up throughout the program, so it’s important to avoid the “learn and forget” trap. Reviewing core materials regularly will help reinforce essential skills.
Above all, Baris encourages students to “enjoy the process.” Learning, especially in data science, is a journey—and with DataScientest, “you’ll never walk it alone!” 😊
For those eager to take their first steps in data science or advance their skills in a supportive, rigorous environment, DataScientest offers a pathway grounded in real-world applications and continuous learning.
