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Columbus, United States · Study online with SSB

Certificado Avançado Em Ciência De Dados

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Overview

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Learning outcomes

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Course content

1

Introdução À Ciência De Dados

2

Fundamentos De Programação Em R

3

Estatística Descritiva

4

Probabilidade E Estatística

5

Análise Exploratória De Dados

6

Visualização De Dados

7

Modelos Lineares

8

Aprendizado De Máquina

9

Mineração De Dados

10

Aplicações Em Ciência De Dados

Career Path

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Key facts

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Why this course

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People also ask

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

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.

During your course, you will have access to:

  • 24/7 access to course materials and resources
  • Technical support for platform-related issues
  • Email support for course-related questions
  • Clear course structure and learning materials

Please note that this is a self-paced course, and while we provide the learning materials and basic support, there is no regular feedback on assignments or projects.

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 Stanmore School of Business
  • Option to request a physical certificate
  • Transcript of completed units
  • Certification is included in the course fee

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

  • The course starts as soon as you pay 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.

Our course is designed as a comprehensive self-study program that offers:

  • Structured learning materials accessible 24/7
  • Comprehensive course content for self-paced study
  • Flexible learning schedule to fit your lifestyle
  • Access to all necessary resources and materials

This self-directed learning approach allows you to progress at your own pace, making it ideal for busy professionals who need flexibility in their learning schedule. While there are no live classes or practical sessions, the course materials are designed to provide a thorough understanding of the subject matter through self-study.

This course provides knowledge and understanding in the subject area, which can be valuable for:

  • Enhancing your understanding of the field
  • Adding to your professional development portfolio
  • Demonstrating your commitment to learning
  • Building foundational knowledge in the subject
  • Supporting your existing career path

Please note that while this course provides valuable knowledge, it does not guarantee specific career outcomes or job placements. The value of the course will depend on how you apply the knowledge gained in your professional context.

This program is designed to provide valuable insight and information that can be directly applied to your job role. However, it is not intended to replace or serve as an equivalent to obtaining a formal degree or diploma. Additionally, it should be noted that this course is not accredited by a accredited awarding body or regulated by an authorised institution/body.

What you will gain from this course:

  • Knowledge and understanding of the subject matter
  • A certificate of completion to showcase your commitment to learning
  • Self-paced learning experience
  • Access to comprehensive course materials
  • Understanding of key concepts and principles in the field

While this course provides valuable learning opportunities, it should be viewed as complementary to, rather than a replacement for, formal academic qualifications.

Our course offers a focused learning experience with:

  • Comprehensive course materials covering essential topics
  • Flexible learning schedule to fit your needs
  • Self-paced learning environment
  • Access to course content for the duration of your enrollment
  • Certificate of completion upon finishing the course

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

Completing the Certificado Avançado Em Ciência De Dados at Stanmore School of Business aligned perfectly with my goal of transitioning from a marketing analyst to a data scientist. The curriculum covered advanced regression techniques and time‑series forecasting in depth, and the hands‑on capstone project allowed me to apply these methods to a real‑world sales dataset, improving forecast accuracy by 12%. The lecture videos, reading materials, and supplemental Jupyter notebooks were exceptionally well‑structured and up‑to‑date, which made complex concepts easy to grasp. I now feel confident presenting predictive models to senior leadership, and the certification has already opened doors to new interview opportunities. Overall, an excellent learning experience.

LO
Lucas Oliveira
BR · Course completed

Wow, this course was exactly what I needed after finishing my undergrad in Brazil. I wanted to get solid Python skills for cleaning data, and the modules on pandas and NumPy delivered that fast. One of the coolest parts was building a simple movie‑recommendation system using collaborative filtering – I actually used it for a side project with my friends. The videos were clear, the slides were current, and the community forum helped me troubleshoot bugs quickly. I can now pull, clean, and visualise data for my job at a retail startup without feeling lost. Really happy with the results!

FW
Felix Wagner
DE · Course completed

I’m absolutely thrilled with how the Certificado Avançado Em Ciência De Dados pushed my data‑science abilities to the next level! The deep‑learning section blew me away – we built convolutional neural networks from scratch in TensorFlow and even fine‑tuned a model for image classification that reached 94% accuracy on my own dataset. The practical labs were interactive and the instructor’s feedback was lightning‑fast. Plus, the course gave us a chance to join a Kaggle‑style competition, and I placed in the top 10 % which boosted my portfolio dramatically. The material is spot‑on for today’s industry demands, and I can’t recommend it enough!

RK
Rahul Kapoor
IN · Course completed

The advanced certificate offered by Stanmore School of Business gave me a thorough grounding in the statistical foundations that were missing from my previous coursework. I started with probability theory, moved through hypothesis testing, and then learned to implement ANOVA and regression models using both R and SQL. A particularly valuable component was the business‑KPIs case study, where I combined data from multiple sources, performed exploratory analysis, and presented actionable insights that my current employer adopted to reduce churn by 8%. The course materials – PDFs, recorded webinars, and interactive quizzes – were logically sequenced, making each topic easy to master before moving on. Overall, the experience was rigorous yet supportive, and I left the program with a robust toolset for data‑driven decision‑making.


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Recently updated!

May 2026