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Data Science Interview Questions and Answers - Part 2
732 students

Data Science Interview Questions and Answers - Part 2

6 Tests to Master Deep Learning, Power BI/Tableau, Big Data (Spark), & HR/Case Study questions for Senior DS roles.
Created byPrintsJob Academy
Last updated 9/2025
English

What you'll learn

  • Confidently discuss Deep Learning concepts, from CNNs/RNNs to Transformers, LLMs, and real-world Generative AI applications.
  • Master advanced Excel (Pivot Tables, Power Query) and modern BI tools like Power BI / Tableau for data analysis and visualization.
  • Explain Data Engineering concepts, including ETL, Spark/Hadoop basics, and modern Cloud Data Pipelines (AWS/GCP/Azure).
  • Nail Case Study challenges and demonstrate leadership with the STAR Method for common behavioral and HR interview questions.

Included in This Course

300 questions

  • Deep Learning Fundamental Questions50 questions
  • Advanced Deep Learning & AI Questions50 questions
  • Excel for Data Analysis Questions50 questions
  • Power BI / Tableau Questions for Data Science50 questions
  • Data Engineering & Big Data Questions50 questions
  • Case Studies & HR Interview Questions50 questions

Description

You have some knowledge of Python and SQL. If not, then refer to our Data Science Interview Questions and Answers - Part 1. Landing a Senior Data Scientist or ML Engineer role requires more advanced-level preparation: it demands fluency in modern Deep Learning, expertise in the data stack, and the ability to solve complex business case studies. This is the leap most candidates fail to make.

Welcome to Our Advanced Data Science Interview Qs, the ultimate final stage preparation course. Part 2 delivers 6 rigorous practice exams covering the high-level, cutting-edge topics that define senior-level roles across global tech companies. This is your chance to move from simply knowing concepts to proving your strategic, business-ready expertise.

This structured series is built for modern technical interviews and is split into four essential modules:

  • Deep Learning (Tests 1 & 2): Don't just recite definitions. We test your grasp of Transformers, Attention Mechanisms, GPT/LLMs, and the crucial ethical applications of Generative AI. This is the future of the field, and we ensure you speak the language fluently.

  • The Data Tool Stack (Tests 3 & 4): Master the tools that run the business world. Drill down on Excel's Power Query and modern BI platforms like Power BI and Tableau. Learn DAX functions and Row-Level Security—skills that prove you understand data governance.

  • Big Data & Data Engineering (Test 5): Technical interviews increasingly focus on data pipelines. Practice questions on ETL, Parquet, Hadoop, Spark basics, and how to architect solutions on major Cloud platforms (AWS/GCP/Azure).

  • Case Studies & Soft Skills (Test 6): This final exam is your most valuable. We force you to apply your technical skills to real business case studies (forecasting, churn). Crucially, you will master the STAR method and the leadership framing required to ace the HR/Behavioral questions—the step that often seals the deal in any GEO location.

Enroll now. If you are ready to stop interviewing for entry-level roles and start leading technical teams, this is your final, essential preparation.

Who this course is for:

  • Mid-to-Senior Data Scientists or ML Engineers who need to specialize in Deep Learning and Big Data concepts for advanced roles.
  • Data professionals preparing for advanced technical interviews that include rigorous Case Studies and in-depth discussions on Generative AI and Cloud systems.
  • Analysts ready to transition from a Business Analyst role into a Data Scientist role by mastering data visualization and HR/Behavioral interviews.

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