How to crack Data Science Interview at KPMG ?
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Cracking a Data Science Interview at KPMG
KPMG, a global leader in audit, tax, and advisory services, is known for its rigorous data science interview process. To increase your chances of success, focus on these key areas:
Programming Languages: Be proficient in languages like Python, R, or SQL. Practice coding challenges and data manipulation tasks.
Machine Learning Algorithms: Understand the theory and practical applications of popular algorithms like linear regression, logistic regression, decision trees, random forests, and neural networks.
Statistics: Have a strong foundation in statistics, including probability distributions, hypothesis testing, and confidence intervals.
Data Cleaning and Preprocessing: Be skilled at handling missing values, outliers, and data normalization.