ViewTube

Apache Spark has levels to it: - Level 0 You can run spark-shell or pyspark, it means you can start - Level 1 You understand the ...

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 ...

La clave del análisis de datos está en tu mentalidad: Buscar patrones, detectar errores y encontrar oportunidades.

Are you thinking of becoming a data analyst? In this video, I break down the 5 essential things you need to know before starting ...

You can organize your data projects into four parts – planning, wrangling, modeling, and applying – each of which has four steps.

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

Data Analytics vs Business Analytics | What's the Difference & Which One Should You Choose? Description: Confused ...

I went to the FASHIONPHILE Headquarters in New York and they gave us a quick overview of how to tell when a Louis Vuitton ...

STEP 1: Understand the Data Analyst Role You analyze data to answer business questions using: • SQL • Excel • Python ...

Most of your time is data cleaning — not fancy dashboards. 7. Business understanding is key — knowing why the data matters is ...

... UPPER() ↳ CONCAT(), SUBSTRING(), REPLACE() ↳ Pattern matching ↳ Cleaning messy text fields ➈ Data Cleaning with ...

Are you ready for your data analyst interview? Do you know what questions might come your way? Let us give you a sneak peek!

Step-by-Step Plan: 1️⃣ Basic Math & Stats: Start with statistics, probability & algebra. Ye foundation strong karo. 2️⃣ Excel: ...

Unveiling the mistery behind deleted pictures or data. For better storage cleanup.

Thank you for watching! ✦✦✦ See where else you can find us! ✦✦✦ ✓ Subscribe to our YouTube channel ...

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 ...