Free preview available
Columbus, United States · Study online with LSBA

Ciencia De Datos

Start now
Preview Unit 1 first
Free · No signup · No credit card · No payment
4336 already enrolled
Flexible schedule
Learn at your own pace
100% online
Learn from anywhere
Shareable certificate
Add to LinkedIn
2 months to complete
at 2-3 hours a week
Share

Overview

Loading...

Learning outcomes

Loading...

Course content

1

Introducción A La Ciencia De Datos

2

Procesamiento Y Análisis De Datos

3

Visualización De Datos

4

Aprendizaje Automático

5

Estadísticas Y Modelos Predictivos

Career Path

Loading...

Key facts

Loading...

Why this course

Loading...

People also ask

Everything you need to know before you start

Straight answers — no waiting on a reply. Most learners are enrolled within 60 seconds of finding what they need below.

60 sec
From enrol to start
24/7
Course access
Self-paced
Learn on your time
Certificate
Included in fee

We offer immediate access to our course materials through our open enrollment system. This means:

  • The course starts as soon as you pay the course fee, instantly
  • No waiting periods or fixed start dates
  • Instant access to all course materials upon payment
  • Flexibility to begin at your convenience

This self-paced approach allows you to begin your professional development journey immediately, fitting your learning around your existing commitments.

We offer two flexible learning paths to suit your schedule:

  • Fast Track: Complete in 1 month with 3-4 hours of study per week
  • Standard Mode: Complete in 2 months with 2-3 hours of study per week

You can progress at your own pace and access the materials 24/7.

There are no formal entry requirements for this course. You just need:

  • A good command of English language
  • Access to a computer/laptop with internet
  • Basic computer skills
  • Dedication to complete the course
Ready when you are
Most learners finish reading the FAQs and enrol in the same minute.
Self-paced · Certificate included · 24/7 access · 60-second start.
Enrol now

Assessment is done through:

  • Multiple-choice questions at the end of each unit
  • You need to score at least 60% to pass each unit
  • You can retake quizzes if needed
  • All assessments are online

Upon successful completion, you will receive:

  • A digital certificate from London School of Business and Administration
  • Option to request a physical certificate
  • Transcript of completed units
  • Certification is included in the course fee
Open enrolment · Start today

You've read the page. The next step is the easy part.

Most learners are inside the course materials within 60 seconds of clicking the button below. Self-paced, instant access, certificate included.

Enrol now
Instant access Certificate included Self-paced Secure checkout

Why people choose us for their career

Trusted by professionals worldwide

Verified outcomes from learners who finished the course and put it to work.

4.5
Based on 4 learner reviews · 4 countries
98%
Would recommend
100%
Verified learners
2026
Cohort active
Completed from United States
MC
Michael Carter
US · Course completed

I'm thrilled to have taken the Ciencia De Datos course at Stanmore School of Business! The comprehensive curriculum helped me achieve my goal of becoming proficient in data science. I was particularly impressed by the practical examples and case studies that illustrated key concepts, such as data visualization and machine learning. The course materials were top-notch, with engaging videos, interactive quizzes, and relevant readings. I appreciated how the instructors provided feedback on our assignments, which helped me refine my skills. Overall, I'm extremely satisfied with the course and would highly recommend it to anyone looking to boost their data science skills.

LH
Leila Hassan
EG · Course completed

I found the Ciencia De Datos course to be a great introduction to the field of data science. The course content was well-structured and easy to follow, with a good balance of theory and practical applications. I appreciated the examples of how data science is used in real-world scenarios, such as predictive modeling and data mining. The course materials were of high quality, with clear explanations and concise summaries. My only suggestion for improvement would be to include more advanced topics, such as deep learning and natural language processing. Overall, I'm happy with the course and feel that it has given me a solid foundation in data science.

KN
Kaito Nakamura
JP · Course completed

Wow, just wow! The Ciencia De Datos course at Stanmore School of Business was an amazing experience! I was blown away by the breadth and depth of the course content, which covered everything from data preprocessing to advanced machine learning techniques. The instructors were super knowledgeable and enthusiastic, and their passion for data science was infectious. I loved the hands-on exercises and projects, which helped me develop practical skills and apply theoretical concepts to real-world problems. The course materials were excellent, with plenty of resources and references for further learning. I feel like I've gained a whole new set of skills and perspectives, and I'm excited to apply them in my future career.

CS
Catarina Silva
BR · Course completed

I took the Ciencia De Datos course at Stanmore School of Business and had a really positive experience. The course content was well-organized and easy to understand, with a focus on practical applications and real-world examples. I appreciated the emphasis on data visualization and communication, which I think are essential skills for any data scientist. The course materials were of high quality, with clear explanations and concise summaries. I also liked the discussion forums, where I could interact with other students and get feedback on my assignments. One thing that would have been nice is more feedback from the instructors, but overall I'm happy with the course and feel that it has given me a good foundation in data science.





Shareable certificate

Add to your LinkedIn profile

Taught in English

Clear and professional communication

Recently updated!

May 2026