deceroacienciadedatos.com

What It Is

De Cero a Ciencia de Datos is an online course for beginners in data science and machine learning. Its name highlights the idea of going “from zero to data science.” The page states that the course runs for 12 weeks and is delivered online via live classes, with “specialized, guided, practical, and empathetic” learning as its core selling points. The page currently indicates that places are full, and the next cohort date has yet to be announced.

Core Curriculum and Teaching Format

The curriculum covers introductory programming, Python, mathematics, linear algebra, probability and statistics, Pandas, data, supervised learning, unsupervised learning, and model evaluation—a typical foundational pathway for data science. Its main advantage is that it requires no prior background, making it suitable for learners with no programming or machine learning experience at all. Compared with self-study or recorded courses, the live and guided format is better suited to learners who need structure, pacing, and support for questions. However, the page does not disclose weekly class hours, class size, project assignments, teaching assistant support, or post-class materials, so the actual workload and depth of support still need to be confirmed.

Pricing and Payment

The pricing information is relatively transparent: a one-time payment by bank deposit or transfer costs 21,500 Mexican pesos; a one-time credit card payment costs 23,500 Mexican pesos, with the option of 3 months interest-free; and the fixed installment plan consists of a 7,500 registration fee plus three payments of 6,000 each, totaling 25,500 Mexican pesos. Overall, its live bootcamp-style format makes it more expensive than standard recorded-course platforms, but if the course does provide ongoing mentoring and practical feedback, the value for money may be reasonable.

Instructors and Organization Background

The page states that the course has completed 17 cohorts with a total of 184 graduates, suggesting it has some operating history. It also mentions Hayde Martínez, Director of Data and Artificial Intelligence at Novartis, who has more than 16 years of experience in the technology industry and has worked at companies including HP, Intel, Brightcove, and Wizeline. This provides a degree of industry credibility for the course. However, the page does not clearly list the full teaching team, what each instructor teaches, or concrete student outcome data.

Pros, Cons, and Who It’s For

The strengths are its clear positioning, beginner-friendly design, complete learning path, transparent payment options, and emphasis on guided learning. The drawbacks are limited disclosure around certification, career services, detailed teaching arrangements, and evidence of learning outcomes, as well as the fact that places are currently full. It is better suited to Spanish-speaking learners, especially those in Mexico or Latin America who want a structured introduction to data science. Learners who need instruction in English or Chinese, an international certificate, or a lower-cost option may want to consider Coursera, edX, DataCamp, Udacity, or data science courses available in China.

Access from China

The page does not provide information about access from mainland China, payment support, or network availability, so this remains unknown. Given that it targets the Spanish-speaking market, users in China should also confirm website stability, whether international credit cards are accepted, whether the time zone works for live classes, and whether language barriers may be an issue.