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Data cleaning and visualization using python.

La limpieza de datos no se trata de corregir errores uno por uno. Se trata de detectar patrones, estandarizar rápido y programar ...

Cleaning data • Removing duplicates • Handling missing values • Quick analysis • Checking patterns Not for: • Building ML ...

Week 1–2: Upgrade Your SQL (Daily 45–60 min) Focus on: • INNER / LEFT JOIN (multiple tables) • GROUP BY with business ...

Internshala ...

Feature engineering is more important than machine learning algorithms!! #machinelearning #datascience #dataanalyst ...

They think: We need someone who understands our data and helps us take better decisions — faster. AI just changed how that ...

They'll hire them for clarity, judgment, and impact. The role hasn't disappeared. The expectations have matured. Comment ...

In web scraping, the .strip() method is one of the most critical tools for data cleaning. Without it, the data you extract is often ...

STEP-BY-STEP SKILLS PROCESS To become a Data Analyst companies want in 2026: Step 1: Learn SQL (MOST IMPORTANT) ...

Data Analyst interviews in 2026 are not the same anymore. Companies know AI exists. So they are changing what they test.

How long does it really take to become a GenAI/Agentic AI Engineer?" ​Forget the 5-year plans. With the right approach, you can ...

In this video, I share my day-to-day work, career journey, tools I use, salary expectations, and the challenges & opportunities in the ...