# Handwritten eBooks & Tech Academy

> Handwritten eBooks & Tech Academy (handwrittenebooks.com) publishes handwritten, hand-illustrated study notes and textbooks as instant-download A4 PDFs for data analytics, Python, data science, generative AI, Java and cybersecurity. Books cost ₹199 in India (US$9 elsewhere), the Ethical Hacking textbook ₹499 (US$29), and all 6 books ₹999 (US$49). Based in India; payments by Razorpay.

Key facts:
- Format: DRM-free A4 PDF, readable on phone, iPad, Android, Kindle and laptop, and printable.
- Delivery: download page opens immediately after payment; buyers can reopen it with their Razorpay Payment ID.
- Every page is handwritten and hand-drawn, then scanned; real sample pages are shown on each book page.
- Contact: handwrittenebooks@gmail.com, WhatsApp +91-9024794399.

## Books

- [Data Analytics: The Handwritten Notes](https://handwrittenebooks.com/books/data-analytics-handwritten-notes/): 116 pages, 26 chapters. ₹199 in India, US$9 elsewhere. Data Analytics: The Handwritten Notes is a 116-page handwritten PDF that takes a complete beginner from zero to data analyst interviews. Its 26 chapters, in 8 parts, cover Excel, SQL, statistics, Python, Power BI and Tableau, with drawn diagrams, worked examples, 16 SQL interview problems and a quick-revision sheet.
- [Python: The Handwritten Notes](https://handwrittenebooks.com/books/python-handwritten-notes/): 60 pages, 15 chapters. ₹199 in India, US$9 elsewhere. Python: The Handwritten Notes is a 60-page handwritten PDF in 15 chapters that teaches Python with memory diagrams and execution flowcharts instead of dry text. It covers data types, lists, tuples, dictionaries and sets, mutability and scope, functions, OOP and interview-style logic building.
- [Data Scientist: Complete Course Book](https://handwrittenebooks.com/books/data-scientist-course-book/): 142 pages, 22 chapters. ₹199 in India, US$9 elsewhere. Data Scientist: Complete Course Book by Chetna Sharma is a 142-page handwritten PDF in 22 chapters. It covers the CRISP-DM lifecycle, data preparation and feature engineering, the linear algebra, calculus and probability behind ML, supervised and unsupervised learning, deep learning, GenAI, deployment and MLOps.
- [The Generative AI Notebook: From Zero to Professional](https://handwrittenebooks.com/books/generative-ai-notebook/): 177 pages, 44 chapters. ₹199 in India, US$9 elsewhere. The Generative AI Notebook is a 177-page handwritten PDF with 44 chapters across 8 levels, from foundations to production. It explains tokenisation, embeddings, transformers and self-attention, prompt engineering, vector databases, RAG pipelines and agents, with 10 labs, 100+ prompts and runnable Python.
- [The Java Notebook: From Zero to Real Applications](https://handwrittenebooks.com/books/java-notebook/): 2,583 pages, 65 chapters. ₹199 in India, US$9 elsewhere. The Java Notebook is a 2,583-page handwritten PDF in 65 chapters that goes from your first Java program to enterprise applications. It draws the JVM stack and heap, explains OOP, design patterns and SOLID, and covers collections, concurrency, Streams, Spring Boot and REST APIs.
- [Ethical Hacking & Cybersecurity: University Textbook](https://handwrittenebooks.com/books/ethical-hacking-cybersecurity-textbook/): 1,696 pages, 48 chapters. ₹499 in India, US$29 elsewhere. Ethical Hacking & Cybersecurity is a 1,696-page university-grade textbook in 48 chapters. It covers OS internals and memory corruption, network penetration testing and Wireshark packet analysis, the OWASP Top 10, cryptographic protocols, malware analysis, reverse engineering, forensics and incident response.
- [All 6 books bundle](https://handwrittenebooks.com/#pricing): 4,774+ pages, ₹999 in India (regular ₹8,794), US$49 elsewhere.

## Free guides

- [How to Become a Data Analyst in 2026: Step-by-Step Roadmap](https://handwrittenebooks.com/guides/data-analyst-roadmap/): To become a data analyst, learn the tools in this order: Excel, SQL, basic statistics, one BI tool (Power BI or Tableau), then Python with pandas. Build 3 or 4 portfolio projects on real datasets and practise SQL interview questions. Studying 1 to 2 hours a day, most beginners are ready to apply in 4 to 6 months.
- [15 SQL Interview Questions for Data Analysts (With Answers)](https://handwrittenebooks.com/guides/sql-interview-questions-data-analyst/): Data analyst SQL interviews mostly test five things: filtering and aggregation (WHERE, GROUP BY, HAVING), joins (INNER vs LEFT), handling NULLs and duplicates, window functions (ROW_NUMBER, RANK, running totals) and turning a business question into a query. The 15 questions below cover all five, with an example answer for each.
- [Excel vs SQL vs Python vs Power BI: What Should a Data Analyst Learn First?](https://handwrittenebooks.com/guides/excel-vs-sql-vs-python-power-bi/): Learn Excel first (1 to 2 weeks), then SQL (the most important and most tested analyst skill), then Power BI or Tableau for dashboards, then Python. Excel teaches how data is structured, SQL gets data out of databases, a BI tool presents it, and Python handles large or repeated analysis.
- [Statistics for Data Analysis: 12 Concepts Every Data Analyst Uses](https://handwrittenebooks.com/guides/statistics-for-data-analysis/): Data analysts mainly use descriptive statistics (mean, median, standard deviation, percentiles), distributions, sampling, confidence intervals, hypothesis tests and p-values, A/B testing, correlation and simple regression. You do not need advanced maths: you need to know which measure fits the data and how to explain what a result means.

## Optional

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