9. Kafka, The Definitive Guide

Publisher: O'Reilly

https://assets.confluent.io/m/2849a76e39cda2bd/original/20201119-EB-Kafka_The_Definitive_Guide-Preview-Chapters_1_thru_6.pdf

10 Data Science Books

10. Python Data Science Handbook

Publisher: O'Reilly

HTML: https://jakevdp.github.io/PythonDataScienceHandbook/

PDF: https://github.com/terencetachiona/Python-Data-Science-Handbook/blob/master/Python%20Data%20Science%20Handbook%20-%20Jake%20VanderPlas.pdf

10 Data Science Books

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Essential Skills to Master for Using Generative AI

1️⃣ Prompt Engineering
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📊 Understand data sources, biases, and how AI models process information.

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📊 Data Science Roadmap at a Glance

Master the key pillars of Data Science step by step:

• Math & Stats: Build foundations in Linear Algebra, Probability, and Hypothesis Testing.

• Programming: Learn Python/R and SQL for data handling and analysis.

• Visualization: Use Tableau, Power BI, or Excel to tell stories with data.

• Feature Engineering: Focus on feature selection, encoding, and generation.

• Machine Learning: Start with basics, then explore advanced models like XGBoost.

• Deep Learning: Dive into Neural Networks, CNNs, and RNNs with TensorFlow or PyTorch.

• NLP: Work with text data using classification and word embeddings.

• Deployment: Deploy models using Flask, Django, or cloud platforms.

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DATA ANALYST Interview Questions (0-3 yr) (SQL, Power BI)

👉 Power BI:

Q1: Explain step-by-step how you will create a sales dashboard from scratch.

Q2: Explain how you can optimize a slow Power BI report.

Q3: Explain Any 5 Chart Types and Their Uses in Representing Different Aspects of Data.

👉SQL:

Q1: Explain the difference between RANK(), DENSE_RANK(), and ROW_NUMBER() functions using example.

Q2 – Q4 use Table: employee (EmpID, ManagerID, JoinDate, Dept, Salary)

Q2: Find the nth highest salary from the Employee table.

Q3: You have an employee table with employee ID and manager ID. Find all employees under a specific manager, including their subordinates at any level.

Q4: Write a query to find the cumulative salary of employees department-wise, who have joined the company in the last 30 days.

Q5: Find the top 2 customers with the highest order amount for each product category, handling ties appropriately. Table: Customer (CustomerID, ProductCategory, OrderAmount)

👉Behavioral:

Q1: Why do you want to become a data analyst and why did you apply to this company?

Q2: Describe a time when you had to manage a difficult task with tight deadlines. How did you handle it?

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