For career switchers, analysts & data-driven professionals

Data Analytics

11 weeks

1 live class / week

Data Analytics: SQL, Python, Experimentation & AI

Learn to turn data into decisions using the tools and methods modern analysts actually use. Build practical skills across analysis, metrics, experimentation, visualization, and AI-assisted workflows—with live feedback from practitioners who do this work professionally.

What will you learn in the Data Analytics course?

Modern analytics is more than writing queries or building dashboards. You’ll learn how to take an ambiguous business problem, ask the right questions, choose meaningful metrics, analyze real data with SQL, Python, visualization, and statistics, and turn the results into a recommendation people can act on.

You’ll also learn how modern analysts work with AI. Use ChatGPT, Claude, and AI-assisted workflows to accelerate analysis—while developing the judgment to validate outputs, spot weak assumptions and hallucinations, and know when an answer is statistically or causally unsupported. Throughout the course, live instructors who do this work professionally will help you connect the concepts to real-world decisions and career-ready projects.

Who it’s for

Career switchers who want to break into analytics and build practical, interview-ready skills—not just complete tutorials.

Analysts and BI professionals who want to move beyond reporting and dashboards into deeper analysis, metrics, experimentation, and decision-making.

Professionals in product, marketing, finance, operations, consulting, and other data-heavy roles who want to become more confident turning data into business decisions.

Tools you’ll use

SQL

Python / pandas

Data visualization & dashboards

Statistics & experimentation

ChatGPT / Claude / AI-assisted analytics

When you finish

Turn an ambiguous business question into a structured analysis: define the problem, choose meaningful metrics, and identify the data you need.

Use SQL, Python, visualization, and statistics to explore real data, find patterns, test ideas, and communicate clear recommendations.

Reason about measurement—not just reporting—including experimentation, uncertainty, and the difference between correlation and causation.

Use ChatGPT, Claude, and AI agents as force multipliers while validating their output, challenging assumptions, and knowing when not to trust the answer.

Eleven weeks, live

11 weeks of live, practitioner-led learning, with one live class per week plus hands-on practice and projects between sessions. Plan for approximately 6–8 hours per week.

Week 1

Thinking Like an Analyst

−

Framing ambiguous business questions, the analytics lifecycle, data literacy, and choosing useful metrics.

Week 2

Data Foundations

+

Week 3

SQL Foundations

+

Week 4

SQL for Real Analysis

+

Week 5

Python & Exploratory Analysis

+

Week 6

Business & Product Analytics

+

Week 7

Visualization & Data Storytelling

+

Week 8

Statistics for Decision-Making

+

Week 9

Experimentation & Causal Thinking

+

Week 10

AI-Native Analytics

+

Week 11

Capstone & Career Readiness

+

Eleven weeks, live

11 weeks of live, practitioner-led learning, with one live class per week plus hands-on practice and projects between sessions. Plan for approximately 6–8 hours per week.

Week 1

Thinking Like an Analyst

−

Week 2

Data Foundations

+

Week 3

SQL Foundations

+

Week 4

SQL for Real Analysis

+

Week 5

Python & Exploratory Analysis

+

Week 6

Business & Product Analytics

+

Week 7

Visualization & Data Storytelling

+

Week 8

Statistics for Decision-Making

+

Week 9

Experimentation & Causal Thinking

+

Week 10

AI-Native Analytics

+

Week 11

Capstone & Career Readiness

+

Eleven weeks, live

11 weeks of live, practitioner-led learning, with one live class per week plus hands-on practice and projects between sessions. Plan for approximately 6–8 hours per week.

Week 1

Thinking Like an Analyst

−

Framing ambiguous business questions, the analytics lifecycle, data literacy, and choosing useful metrics.

Week 2

Data Foundations

+

Week 3

SQL Foundations

+

Week 4

SQL for Real Analysis

+

Week 5

Python & Exploratory Analysis

+

Week 6

Business & Product Analytics

+

Week 7

Visualization & Data Storytelling

+

Week 8

Statistics for Decision-Making

+

Week 9

Experimentation & Causal Thinking

+

Week 10

AI-Native Analytics

+

Week 11

Capstone & Career Readiness

+

Next Cohorts

November 3

Tuesday — 9:00 p. m. to 11:00 p. m. (Eastern Time)

6 seats left

6 seats left

🔥

January 12, 2027

Tuesday — 9:00 p. m. to 11:00 p. m. (Eastern Time)

Join 500k+ alumni in a live online learning community. 

Join 500k+ alumni in a live online learning community. 

Yorgelis Zambrano Peña

UX/UI Design

During this process, I strengthened my research knowledge, learning methodologies and tools to collect, analyze and interpret information that makes it possible to make data-based decisions and better understand the needs of users. I thank Coderhouse and the teachers for accompanying me in this learning.

Alexia Vidal

Digital Marketing

This learning enabled me to understand that behind each publication there is a strategy, a goal and an opportunity to connect with people.

Cristian Francano

Business

During this training I strengthened knowledge about leadership, communication, motivation, conflict resolution and team management, tools that I can apply both in my role as supervisor and in my professional development. I thank Coderhouse and teachers for the experience.

Alejandro Damian Gao Moreno

Artificial Intelligence

I want to thank the entire Coderhouse team for promoting an educational proposal so connected to what the market demands.

Maria Adela Russo Salamanca

Data

I am very happy to continue adding knowledge and strengthening skills that complement my eCommerce experience. This is one more step in my way to specialize in Data Analytics.

Nahuel Kasjan

Artificial Intelligence

It was a very valuable experience to continue incorporating new tools and understand how to apply automation and artificial intelligence in specific situations, simplifying tasks and improving processes.

manuel blardone

General

Excellent experience with the course. The teachers explained very well and the course format is flexible enough to fit around a work schedule.

kevin gimenez

Data

excellent teachers in every course; I completed the data career path, and I will be taking other career paths as well

Natalia Daniela

Artificial Intelligence

It was a good experience, the teachers always punctual, explained very well, always attentive to the consultations, answered everything, it was noticed that they knew what they were dictating, no class was canceled, even when you had a problem with your machine to install something helped you to solve it. The course is complete, you have the comfort to do it from your home, if you can not attend some class the classes are recorded so that you can see them later. Excellent everything.

Yorgelis Zambrano Peña

UX/UI Design

During this process, I strengthened my research knowledge, learning methodologies and tools to collect, analyze and interpret information that makes it possible to make data-based decisions and better understand the needs of users. I thank Coderhouse and the teachers for accompanying me in this learning.

Alejandro Damian Gao Moreno

Artificial Intelligence

I want to thank the entire Coderhouse team for promoting an educational proposal so connected to what the market demands.

manuel blardone

General

Excellent experience with the course. The teachers explained very well and the course format is flexible enough to fit around a work schedule.

Alexia Vidal

Digital Marketing

This learning enabled me to understand that behind each publication there is a strategy, a goal and an opportunity to connect with people.

Maria Adela Russo Salamanca

Data

I am very happy to continue adding knowledge and strengthening skills that complement my eCommerce experience. This is one more step in my way to specialize in Data Analytics.

kevin gimenez

Data

excellent teachers in every course; I completed the data career path, and I will be taking other career paths as well

Cristian Francano

Business

During this training I strengthened knowledge about leadership, communication, motivation, conflict resolution and team management, tools that I can apply both in my role as supervisor and in my professional development. I thank Coderhouse and teachers for the experience.

Nahuel Kasjan

Artificial Intelligence

It was a very valuable experience to continue incorporating new tools and understand how to apply automation and artificial intelligence in specific situations, simplifying tasks and improving processes.

Natalia Daniela

Artificial Intelligence

It was a good experience, the teachers always punctual, explained very well, always attentive to the consultations, answered everything, it was noticed that they knew what they were dictating, no class was canceled, even when you had a problem with your machine to install something helped you to solve it. The course is complete, you have the comfort to do it from your home, if you can not attend some class the classes are recorded so that you can see them later. Excellent everything.

Yorgelis Zambrano Peña

UX/UI Design

During this process, I strengthened my research knowledge, learning methodologies and tools to collect, analyze and interpret information that makes it possible to make data-based decisions and better understand the needs of users. I thank Coderhouse and the teachers for accompanying me in this learning.

manuel blardone

General

Excellent experience with the course. The teachers explained very well and the course format is flexible enough to fit around a work schedule.

Maria Adela Russo Salamanca

Data

I am very happy to continue adding knowledge and strengthening skills that complement my eCommerce experience. This is one more step in my way to specialize in Data Analytics.

Cristian Francano

Business

During this training I strengthened knowledge about leadership, communication, motivation, conflict resolution and team management, tools that I can apply both in my role as supervisor and in my professional development. I thank Coderhouse and teachers for the experience.

Natalia Daniela

Artificial Intelligence

It was a good experience, the teachers always punctual, explained very well, always attentive to the consultations, answered everything, it was noticed that they knew what they were dictating, no class was canceled, even when you had a problem with your machine to install something helped you to solve it. The course is complete, you have the comfort to do it from your home, if you can not attend some class the classes are recorded so that you can see them later. Excellent everything.

Alejandro Damian Gao Moreno

Artificial Intelligence

I want to thank the entire Coderhouse team for promoting an educational proposal so connected to what the market demands.

Alexia Vidal

Digital Marketing

This learning enabled me to understand that behind each publication there is a strategy, a goal and an opportunity to connect with people.

kevin gimenez

Data

excellent teachers in every course; I completed the data career path, and I will be taking other career paths as well

Nahuel Kasjan

Artificial Intelligence

It was a very valuable experience to continue incorporating new tools and understand how to apply automation and artificial intelligence in specific situations, simplifying tasks and improving processes.

Yorgelis Zambrano Peña

UX/UI Design

During this process, I strengthened my research knowledge, learning methodologies and tools to collect, analyze and interpret information that makes it possible to make data-based decisions and better understand the needs of users. I thank Coderhouse and the teachers for accompanying me in this learning.

manuel blardone

General

Excellent experience with the course. The teachers explained very well and the course format is flexible enough to fit around a work schedule.

Maria Adela Russo Salamanca

Data

I am very happy to continue adding knowledge and strengthening skills that complement my eCommerce experience. This is one more step in my way to specialize in Data Analytics.

Cristian Francano

Business

During this training I strengthened knowledge about leadership, communication, motivation, conflict resolution and team management, tools that I can apply both in my role as supervisor and in my professional development. I thank Coderhouse and teachers for the experience.

Alejandro Damian Gao Moreno

Artificial Intelligence

I want to thank the entire Coderhouse team for promoting an educational proposal so connected to what the market demands.

Alexia Vidal

Digital Marketing

This learning enabled me to understand that behind each publication there is a strategy, a goal and an opportunity to connect with people.

kevin gimenez

Data

excellent teachers in every course; I completed the data career path, and I will be taking other career paths as well

Nahuel Kasjan

Artificial Intelligence

It was a very valuable experience to continue incorporating new tools and understand how to apply automation and artificial intelligence in specific situations, simplifying tasks and improving processes.

FAQ

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Why learn analytics when ChatGPT / Claude can do it?

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$595 launch price. Two free classes first.

© 2026 Coderhouse. All rights reserved.

© 2026 Coderhouse. All rights reserved.

© 2026 Coderhouse. All rights reserved.