Data Science
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Learn how to analyze data effectively and manage databases with ease. Buy ads: https://telega.io/c/sql_databases
Mostrar más📈 Análisis del canal de Telegram Data Science
El canal Data Science (@sql_databases) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 70 805 suscriptores, ocupando la posición 2 274 en la categoría Educación y el puesto 4 582 en la región India.
📊 Métricas de audiencia y dinámica
Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 70 805 suscriptores.
Según los últimos datos del 25 agosto, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de -309, y en las últimas 24 horas de -33, conservando un alto alcance.
- Estado de verificación: No verificado
- Tasa de interacción (ER): El promedio de interacción de la audiencia es 12.05%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 2.78% de reacciones respecto al total de suscriptores.
- Alcance de las publicaciones: Cada publicación recibe en promedio 8 533 visualizaciones. En el primer día suele acumular 1 972 visualizaciones.
- Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 0.
- Intereses temáticos: El contenido se centra en temas clave como database, learning, linkedin, udemy, 029k|.
📝 Descripción y política de contenido
El autor describe el recurso como un espacio para expresar opiniones subjetivas:
“Learn how to analyze data effectively and manage databases with ease.
Buy ads: https://telega.io/c/sql_databases”
Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 26 agosto, 2026), el canal mantiene la vigencia y un amplio alcance. La analítica demuestra que la audiencia interactúa activamente con el contenido, lo que lo convierte en un punto de referencia dentro de la categoría Educación.
70 805
Suscriptores
-3324 horas
-1127 días
-30930 días
Archivo de publicaciones
70 805
🔅 How To Be a Lead Data Scientist
📝 Build a foundation and develop skills for seasoned data scientists to level up from model builders to AI leaders.
🌐 Author: Matthew Blasa
🔰 Level: Advanced
⏰ Duration: 1h 6m
📋 Topics: Data Science, Team Management
🔗 Join Data Science for more courses
70 805
😉 A list of the best YouTube videos
✅ To learn data science
1️⃣ SQL language
⬅️ Learning
💰 4-hour SQL course from zero to one hundred
💰 Window functions tutorial
⬅️ Projects
📎 Starting your first SQL project
💰 Data cleansing project
💰 Restaurant order analysis
⬅️ Interview
💰 How to crack the SQL interview?
➖➖➖
2️⃣ Python
⬅️ Learning
💰 12-hour Python for Data Science course
⬅️ Projects
💰 Python project for beginners
💰 Analyzing Corona Data with Python
⬅️ Interview
💰 Python interview golden tricks
💰 Python Interview Questions
➖➖➖
3️⃣ Statistics and machine learning
⬅️ Learning
💰 7-hour course in applied statistics
💰 Machine Learning Training Playlist
⬅️ Projects
💰 Practical ML Project
⬅️ Interview
💰 ML Interview Questions and Answers
💰 How to pass a statistics interview?
➖➖➖
4️⃣ Product and business case studies
⬅️ Learning
💰 Building strong product understanding
💰 Product Metric Definition
⬅️ Interview
💰 Case Study Analysis Framework
💰 How to shine in a business interview?
70 805
📖 Merging and Joining Data
Working with multiple datasets? Combine them just like SQL:
# Inner join (default)
merged = pd.merge(df_sales, df_customers, on='customer_id')
# Left join
pd.merge(df_sales, df_customers, on='customer_id', how='left')
# Concatenate vertically
all_data = pd.concat([df_2023, df_2024], ignore_index=True)
# Join on index
df1.join(df2, on='date')70 805
🔅 Ethical Hacking: SQL Injection
📝 Learn about the SQL command language and SQL injections. Examine SQL injections in MySQL, SQL Server, and Oracle XE, and discover how attackers defeat web application firewalls.
🌐 Author: Malcolm Shore
🔰 Level: Intermediate
⏰ Duration: 1h 45m
📋 Topics: Ethical Hacking, SQL Injection
🔗 Join Data Science for more courses
70 805
+5
SQL is way easier when you actually know what matters.
These are the core basics every beginner needs to build projects, answer real business questions, and stop feeling overwhelmed 📊
Master these first and everything else becomes 10x easier.
Save this to review later ✅
70 805
📖 SQL Learning Roadmap — 8 Key Steps:
1. Basic:
Start by understanding what SQL is, why it’s used, and the different types of SQL commands (DDL, DML, DCL, TCL). This builds your foundation.
2. Queries:
Learn how to fetch data using commands like SELECT, FROM, WHERE, ORDER BY, and LIMIT. Practice filtering data with operators such as =, !=, LIKE, IN, and BETWEEN.
3. Joins:
To work with multiple tables, you must understand INNER, LEFT, RIGHT, and FULL OUTER JOIN. Know how primary and foreign keys relate tables.
4. Functions:
Use built-in functions like COUNT, SUM, AVG, MIN, and MAX for data analysis. Learn how to group data using GROUP BY and filter groups with HAVING.
5. Subqueries:
Write queries within queries! Learn scalar, correlated, and multi-row subqueries. They’re powerful for solving complex data problems.
6. Data Manipulation:
Master how to change data using INSERT, UPDATE, and DELETE. Also, understand transactions using BEGIN, COMMIT, and ROLLBACK to maintain data integrity.
7. Advanced:
Take it further with window functions (ROW_NUMBER, RANK, LEAD, LAG), CTEs (WITH), views, and indexing to write efficient and optimized queries.
8. Practice:
The final step is consistent practice. Work with real-world datasets, focus on query optimization, and solve challenges on platforms like LeetCode, Mode, or HackerRank.
70 805
Read this once. There won't be a second message.
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Real talk: no services live yet. We just launched. Whoever joins first gets seen first.
The first 100 Brainlancers are onboarding right now.
In 6 months others will have founding status, recurring income, featured services on the homepage.
You'll scroll past and remember this post.
Don't.
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70 805
🔅 The 80/20 Rule of Data Science
📝 Explore the core concepts of the 80/20 rule for data science and how to get most of the value with minimal effort.
🌐 Author: Howard Friedman
🔰 Level: Intermediate
⏰ Duration: 1h 26m
📋 Topics: Data Science, Project Engineering, Team Management
🔗 Join Data Science for more courses
70 805
📖 MOST COMMON SQL INTERVIEW QUESTION
Do you knew this?
👉 “What is the order of execution in an SQL query?”
Don’t let the SELECT fool you – it’s NOT the first step! 😮
Here’s the correct order that SQL follows behind the scenes:
🔢 SQL Order of Execution:
1️⃣ FROM
2️⃣ JOIN
3️⃣ WHERE
4️⃣ GROUP BY
5️⃣ HAVING
6️⃣ SELECT
7️⃣ DISTINCT
8️⃣ ORDER BY
9️⃣ LIMIT / OFFSET
🔥 Pro tip: Interviewers LOVE this question to test your SQL fundamentals!
Memorize it, understand it – and impress in your next interview. 💼
70 805
🔅 PostgreSQL Essential Training
📝 Learn how to set up and work with one of the worlds most popular open-source database platforms, PostgreSQL.
🌐 Author: Adam Wilbert
🔰 Level: Intermediate
⏰ Duration: 3h 18m
📋 Topics: PostgreSQL
🔗 Join Data Science for more courses
