Data Science is such a vast field that without a proper understanding of its nature, capacities, dimensions, approaches, subfields, and the necessary skills for each, newcomers may find it overwhelming. In this project-based course, we will work with the intelligent assistant Chat-GPT and utilize the professional Kaggle platform to carry out real-world projects. This will help you understand the challenges of executing projects and the importance of mastering their details. Additionally, you’ll quickly get acquainted with Python programming and how to work with specialized data science libraries. The content of this course is an excellent starting point for anyone interested in data science and serves as the first course in our Data Scientist career.
The hybrid courses include the following:
Video Content: In the hybrid course format, all educational materials—including the instructor’s voice and image, desktop screen, and whiteboard presentations—are recorded and edited in a studio environment. These high-quality video lessons are then made available to participants.
Mentoring Service: However, the videos are only part of the learning experience. For each week’s content, we offer a two-hour online mentoring session. These sessions are usually scheduled on weekdays (Monday to Friday) outside of business hours. After watching the video lessons, you can ask any questions or clarify doubts directly with the instructor during the live mentoring session, fostering a direct interaction with the course instructor. Additionally, instructors can use this service to monitor the progress of remote participants, track assigned tasks, and follow up on exercises.
Telegram Support: For each ongoing program, a dedicated Telegram group will be created, where all participants of hybrid courses will be added. In this group, you can share resources, discuss content-related questions, ask individual queries, and engage in discussions. The course instructors are also present in this group and will respond to inquiries as much as possible.
Certificate: At the end of the hybrid courses, participants will receive a certificate. The certificate is issued in English, can be verified online, and is shareable on social media platforms.
The self-paced courses include the following:
Video Content: In the self-paced format, all educational materials—including the instructor’s voice and image, desktop screen, and whiteboard presentations—are recorded and edited in a studio environment. These high-quality video lessons are then made available to participants.
Telegram Support: For each ongoing program, a dedicated Telegram group will be created, where all participants of self-paced courses will be added. In this group, you can share resources, discuss content-related questions, ask individual queries, and engage in discussions. The course instructors are also present in this group and will respond to inquiries as much as possible.
Certificate: Self-paced courses do not include certification.
Course Type
Hybrid, Self-paced
Syllabus
• Introduction and Overview
• Our Comprehensive Data Science Path
• Methods and Techniques
• Chat-GPT Prompting as an Assistant
• Making Profile in Kaggle and Developing own Notebooks
• Dive into Python: Introduction to Programming
• Dive into Python: Data Science Libraries (NumPy, Pandas, Matplotlib, Scikit-Learn)
• Preparing to First Data Science Project
• EDA Summary and Review
• A Concise Overview of Statistics and Probability
• Data Preparation
• Modeling and Evaluation of Results
• Project No.2: Loan Applicant Credit Assessment
Related Products
Select options
This product has multiple variants. The options may be chosen on the product page