Yes. Python is one of the most important programming languages for Data Science and AI interviews. Candidates are expected to understand Python basics, data structures, functions, NumPy, Pandas, Matplotlib, and machine learning libraries such as Scikit-learn. Basic coding questions are commonly asked during interviews.

Interviewers commonly ask about Linear Regression, Logistic Regression, Decision Trees, Random Forest, K-Nearest Neighbors (KNN), Support Vector Machine (SVM), Naïve Bayes, and K-Means Clustering. Candidates should understand when to use each algorithm, its advantages, limitations, and real-world applications.

SQL interview questions usually focus on SELECT statements, JOINs, GROUP BY, HAVING, ORDER BY, aggregate functions, subqueries, window functions, and Common Table Expressions (CTEs). Many companies also ask candidates to write SQL queries to solve real business problems.

Freshers should strengthen Python, SQL, statistics, machine learning fundamentals, and data visualization. They should also build real-world projects, practice coding questions, prepare case studies, revise interview questions regularly, and explain their project workflow confidently during interviews.

Employers prefer practical projects such as Sales Forecasting, Customer Churn Prediction, House Price Prediction, Sentiment Analysis, Recommendation Systems, Fraud Detection, Image Classification, and Chatbot development. Projects that demonstrate problem-solving skills and business impact significantly improve interview performance.

Freshers who complete a Diploma in Data Science and Artificial Intelligence and possess strong practical skills can typically expect entry-level salaries ranging from ₹4 LPA to ₹8 LPA, depending on their skills, projects, interview performance, company, and location. Experienced professionals can earn significantly higher packages as they gain expertise.