DATA SCIENCE INTERVIEW Questions

 “An investment in knowledge pays the best interest”

CONTENTS INTRODUCTION Meaning of Data Science Background Interview Questions and Solutions Careers in Data Science CHAPTER 1: MASTERING THE BASICS Statistics Probability Linear Algebra CHAPTER: PYTHON Interview Questions in Python CHAPTER 3: PANDA Numpy Interview Questions CHAPTER 4: MACHINE LEARNING PCA Interview Questions Curse of Dimensionality Support Vector Machine (SVM) Overfitting and Underfitting CHAPTER 5: R LANGUAGE CSV files in R Programming Confusion Matrix Random Forest in R K-MEANS Clustering CHAPTER 6: SQL DBMS and RDBMS RDBMS MYSQL Unique Constraints Clustered and Non-Clustered Indexes Data Integrity SQL Cursor CHAPTER 7: DATA WRANGLING Data Visualization CHAPTER 8: DATA SCIENCE INTERVIEW EXTRA Extra Interview Questions Interview Questions on Technical Abilities Interview on Personal Concerns Interview Questions on Communication and Leadership Behavioral Interview Questions Interview Questions Top Companies CONCLUSION

 DSI ACE PREP  Publisher: Data Science Interview Books, Year: 2022  

Meaning of Data Science 

Data science is an interdisciplinary subject that mines raw data, analyzes it, and creates patterns from which valuable insights may be extracted. Data science is based on a foundation of statistics, computer science, machine learning, deep learning, data analysis, data visualization, and a variety of other technologies. Because of the importance of data, data science has grown in popularity in recent times. Data is seen as the new oil, which may be extremely useful to all parties when correctly examined and utilized. Not only that but a data scientist is exposed to work in many disciplines, tackling real-world challenges using cutting-edge technologies. The most popular real-time use is fast food delivery in applications like Uber Eats, which assists the delivery worker by showing the quickest path from the restaurant to the location. Data Science is also utilized in item recommendation algorithms on e-commerce sites such as Amazon, Flipkart, and others, which suggest items to users according to their search history. Data Science is also becoming extremely prevalent in detecting fraud involved in credit-based financial applications, not simply recommendation systems. While solving challenges that assist drive business and strategic goals, a skilled data scientist can understand data, innovate, and bring forth creativity. As a result, it has fast become one of the most highly paid and sought after employment roles of the twenty-first century.