Prepare to excel in data science interviews with our comprehensive course designed to equip you with the foundational knowledge, technical skills, and confidence needed to succeed. Whether you're a recent graduate, a professional looking to transition into data science, or someone seeking to enhance your current skill set, this course covers everything from essential concepts to practical skills and mock interviews. We ensure you are thoroughly prepared for every aspect of the interview process, helping you stand out to potential employers and achieve your career goals.

Course Overview:

Session 1: Foundations and Technical Skills

• Introduction to Data Science Interviews: Understand the different types of interviews and the overall process.
• Key Data Science Concepts: Dive into statistics, probability, hypothesis testing, and A/B testing.
• SQL for Data Science: Master both basic and advanced SQL queries with practical problems and mock interview questions.

Session 2: Programming and Technical Skills

• Python for Data Science: Utilize essential libraries like Pandas, NumPy, Matplotlib, and Seaborn for data manipulation, analysis, and basic machine learning.
• Excel for Data Analysis: Learn data cleaning, preprocessing, pivot tables, advanced functions, and data visualization.

Session 3: Machine Learning and Case Studies

• Core Machine Learning Algorithms: Explore supervised and unsupervised learning, model evaluation, and tuning.
• Data Science Case Study Preparation: Approach case studies with confidence, practice real-world examples, and avoid common pitfalls.

Session 4: Product and Business Acumen

• Product Round Preparation: Understand business problems, metrics, KPIs, product sense, and feature prioritization.
• Guesstimates and Market Sizing: Develop a structured approach to guesstimates, practice common questions, and communicate your reasoning effectively.

Session 5: Behavioral and Psychological Preparation

• Behavioral and HR Round Preparation: Prepare for common behavioral questions using the STAR method, craft your personal narrative, and handle situational questions.
• Psychological Preparation and Mock Interviews: Build confidence, manage stress, participate in mock interviews, and learn post-interview follow-up and etiquette.

Additional Resources:

• Recommended books and articles for each topic.
• Online resources and practice platforms.
• Community forums and study groups.

Course Schedule:

1. Session 1 - 11th July 2024
2. Session 2 - 17th July 2024
3. Session 3 - 18th July 2024
4. Session 4 - 24th July 2024
5. Session 5 - 27th July 2024

All sessions will start at 8:00 PM IST

By the end of this course, you will have a thorough understanding of key components of data science interviews, practical experience with technical skills, and the confidence to excel in both technical and behavioral rounds. Join us to take the next step in your data science career!