ru
Feedback
Bits of Data Science

Bits of Data Science

Открыть в Telegram

👋Welcome, Data Explorers! Discover a treasure trove of resources covering AI, ML, DL, Python, SQL, BI Tools and beyond. 📌Other channels: @bitsofinterview @bitsofdatascience 📌Medium medium.com/@aspershupadhyay 📌LinkedIn http://bit.ly/3IhMQdX

Больше
530
Подписчики
-124 часа
-17 дней
+630 дней
Архив постов
Deep Learning Lectures.pdf85.01 MB

Top SQL Interview Questions for Data Science and Analytics Roles: ✨How many can you answer?✨ The Basics: 1️⃣ LEFT, RIGHT, INNER, OUTER, ANTI, FULL, SELF JOINs 2️⃣ WHERE vs. HAVING 3️⃣ GROUP BY vs. ORDER BY 4️⃣ UNION vs. UNION ALL 5️⃣ CTEs vs. Subqueries 6️⃣ Window functions 7️⃣ Rank vs. Dense Rank vs. Row Number 8️⃣ Primary Keys vs. Foreign Keys 9️⃣ CASE 🔟 Null handling (COALESCE and others) Conceptual Questions: 1️⃣ Pull all entries in Table A that are not in Table B. 🤔 2️⃣ Describe a scenario requiring a self join. 🤯 3️⃣ Rank all X by Y, partition by Z. 📈 4️⃣ Select the top customer by X. 🏆 5️⃣ Which join returns the most and least observations (left/right, inner, full)? ❓ 6️⃣ Code Refactoring 🔨 7️⃣ How to optimize queries 🚀 8️⃣ What is the distribution of X? 📊 9️⃣ Aggregate by date 📅 🔟 Identify duplicates 🔍 Now go pass your technical interview!! 💯 I hope you find this helpful! Join us to stay tuned.

Statistics for Data Science.pdf1.67 MB

164 Data Science Interview Questions

10 Best Practices For Building Effective Dashboards

Data Visualization Principles.pdf1.06 MB

10 things you should do in your next interview

Matplotlib Visualization in Python

MySQL complete material

Non-Tech Data Analyst Roadmap

What is a data analyst? A data analyst is a professional who analyzes and interprets large sets of data to identify trends, patterns, and insights that can inform business decisions. They work with various types of data, such as sales figures, market research, customer demographics, and operational data, to extract valuable information and generate meaningful reports. Steps to Becoming a Data Analyst 1. Python Programming( Python Libraries Numpy & Pandas) 2. Good at Excel 3. Learn SQL 4. Visualization ( Learn plotting Libraries) 5. BI tools 6. Learn Statistics 7. Get Industry experience (optional)

photo content

Credit: Rocky Bhatia
Credit: Rocky Bhatia

ChatGPT Chat Sheet
ChatGPT Chat Sheet

Summarize text will LLMs
Summarize text will LLMs

Machine Learning Hand-Written Notes.pdf65.64 MB

Python Practice Set 1 (Data Science)

Python List tutorial.pdf2.91 MB

SQL 14 Days Roadmap.pdf5.77 MB

9 Key Data Terms
9 Key Data Terms