Experto en Análisis y Visualización de Datos + IA

Experto en Análisis y Visualización de Datos + IA – DataBoosters Academy
Updated July 2026

---

Opening Paragraph

Looking for a free data analysis course that covers every tool employers demand? The Experto en Análisis y Visualización de Datos + IA Udemy course, taught by DataBoosters Academy, delivers end‑to‑end training in Excel, SQL, Python, R, Power BI, Tableau, and AI assistants. It blends hands‑on dashboards, real‑world projects, and AI‑driven automation, preparing you to make data‑driven decisions immediately. Enroll now to learn data analysis online without paying a cent for a limited time.

---

What You'll Learn

• Build interactive Excel dashboards with pivot tables, KPIs, and AI‑enhanced data analysis.
• Master SQL queries from basic SELECT statements to advanced JOINs, subqueries, and performance indexing.
• Learn Python programming fundamentals, object‑oriented concepts, and file handling for data projects.
• Understand how to leverage Claude AI to write, debug, and accelerate Python code without prior coding experience.
• Create statistical visualizations in R, including histograms, boxplots, and custom graphics for exploratory analysis.
• Implement Power BI reports using Power Query, DAX measures, and Microsoft Copilot’s natural‑language insights.
• Apply Tableau techniques to import, transform, and visualize data with interactive maps and charts.
• Analyze the complete ETL workflow, cleaning and shaping data before feeding it into any visualization tool.

---

Course Details

• Instructor: DataBoosters Academy
• Rating: 4.7 stars (based on student reviews)
• Language: Español (es‑LA)
• Certificate: Yes, upon completion
• Includes: downloadable resources, real‑world project files, lifetime access, mobile‑friendly learning

---

What This Course Covers

Excel & Dashboarding

• Create dynamic pivot tables, slicers, and KPI cards.
• Design interactive charts that update automatically with data changes.
• Use the integrated “Analizar datos con IA” feature to generate insights instantly.
• Export dashboards to web‑ready formats for stakeholder sharing.

SQL for Data Retrieval

• Write SELECT statements, filter results, and aggregate data with GROUP BY.
• Combine tables using INNER, LEFT, and FULL JOINs for comprehensive datasets.
• Build subqueries and CTEs to solve complex reporting challenges.
• Optimize queries with indexes, caching, and execution‑plan analysis.

Python Programming & AI Assistants

• Explore data types, lists, dictionaries, and control structures from scratch.
• Implement object‑oriented programming to organize analysis pipelines.
• Use Claude AI to generate code snippets, explain errors, and suggest improvements.
• Complete end‑to‑end projects that ingest CSV files, clean data, and plot results with Matplotlib.

R for Statistical Analysis

• Manipulate vectors and data frames using tidyverse functions.
• Apply apply‑family functions for efficient column‑wise operations.
• Build custom visualizations: histograms, boxplots, and multi‑panel graphs.
• Conduct exploratory data analysis to uncover trends and outliers.

Power BI & Microsoft Copilot

• Transform raw data with Power Query’s advanced shaping tools.
• Write DAX formulas for calculated columns, measures, and time‑intelligence.
• Generate reports and dashboards using natural‑language prompts via Copilot.
• Publish interactive visuals to the Power BI service for collaborative use.

Tableau & End‑to‑End ETL

• Connect to multiple data sources and blend them within a single workbook.
• Clean and reshape data using calculated fields and data interpreter tools.
• Design bar, line, and geographic maps with drill‑down capabilities.
• Implement a full ETL pipeline: extraction, transformation, loading, and visualization.

---

Who Should Take This Course

• Business analysts seeking to upgrade from Excel to multi‑tool BI platforms.
• Finance and marketing professionals who need data‑driven decision‑making skills.
• Recent graduates aiming to differentiate their résumé with a data‑science portfolio.
• Junior analysts ready to transition to roles involving SQL, Python, or Power BI.
• Anyone aspiring to integrate AI assistants like Claude or Microsoft Copilot into daily analytics work.

---

Prerequisites

• No prior programming experience needed — the course is beginner‑friendly.
• Basic computer literacy and familiarity with spreadsheet concepts are recommended.

---

Why Enroll in This Course

This curriculum packs seven in‑demand tools and two AI assistants into a single, coherent learning path. A free coupon provides 100 % off for a limited time, making the certification truly cost‑free as of August 2026. Compared with single‑tool tutorials, this course delivers the complete data‑to‑insight workflow, ensuring you can handle any real‑world analytics challenge.

---

Course Highlights

• Lifetime access to 387 video lessons and downloadable project files.
• Self‑paced learning that fits any schedule, accessible on desktop and mobile.
• Certificate of completion recognized by employers across Latin America.
• Hands‑on projects for each tool, ready to showcase in a professional portfolio.
• AI‑driven modules that teach you to automate coding and reporting tasks.
• 30‑day money‑back guarantee for peace of mind, even though the coupon makes it free.

---

Frequently Asked Questions

Q: Is this course really free?
A: Yes. A free Udemy coupon grants 100 % off the regular price, allowing you to enroll at no cost while the promotion lasts.

Q: What will I learn in this Análisis y Visualización de Datos course?
A: You will master Excel dashboards, SQL querying, Python programming, R analytics, Power BI with Copilot, Tableau visualizations, and end‑to‑end ETL processes, plus AI‑assisted coding techniques.

Q: Do I get a certificate after completing this course?
A: Absolutely. Upon finishing all modules and projects, Udemy issues a certificate that you can add to LinkedIn or your résumé.

Q: Is this course suitable for beginners?
A: The curriculum starts from zero, teaching each tool from fundamentals to advanced features, so beginners with basic computer skills can follow along confidently.

Q: How long do I have to enroll for free?
A: The free coupon is available for a limited time, typically a few weeks. Enroll now to secure the 100 % discount before it