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

Сертификат Мастер-Класса По Науке О Данных (Продвинутый) (Advanced)

Start now
Preview Unit 1 first
Free · No signup · No credit card · No payment
1344 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

Advanced Data Science Foundations

2

Data Preprocessing Techniques

3

Machine Learning Algorithms

4

Deep Learning Applications

5

Data Visualization Methods

6

Statistical Modeling

7

Data Mining

8

Text Analysis

9

Time Series Forecasting

10

Recommendation Systems

11

Neural Networks

12

Unsupervised Learning

13

Supervised Learning

14

Data Wrangling

15

Big Data Analytics

16

Data Storytelling

17

Advanced Regression Techniques

18

Clustering Methods

19

Dimensionality Reduction

20

Ensemble Learning

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 absolutely thrilled with the Сертификат Мастер-Класса По Науке О Данных (Продвинутый) course from Stanmore School of Business! As a data enthusiast from the United States, I was looking to upskill and reskill in advanced data science concepts. This course exceeded my expectations in every way. The instructor's expertise and the quality of the course materials were top-notch. I gained practical knowledge in machine learning, data visualization, and statistical modeling, which I've already applied to real-world projects. The course content was engaging, and I appreciated the flexibility to learn at my own pace. I'd highly recommend this course to anyone looking to boost their data science skills!

LH
Leila Hassan
EG · Course completed

I found the Сертификат Мастер-Класса По Науке О Данных (Продвинутый) course to be a valuable learning experience. As a working professional in Egypt, I needed a course that would fit my busy schedule and provide me with practical skills in data analysis and interpretation. The course materials were well-structured and easy to follow, and I appreciated the examples and case studies from various industries. While some topics were more challenging than others, the instructor's support and feedback were helpful. Overall, I'm satisfied with the course and feel more confident in my ability to work with data. One area for improvement could be more interactive discussions and group work, but overall, it was a good experience.

KN
Kaito Nakamura
JP · Course completed

Wow, just wow! The Сертификат Мастер-Класса По Науке О Данных (Продвинутый) course from Stanmore School of Business was an incredible journey! As a data scientist in Japan, I was looking to expand my skills in deep learning and natural language processing. This course delivered! The instructor's passion and expertise were contagious, and the course materials were comprehensive and up-to-date. I loved the hands-on exercises and projects, which helped me apply theoretical concepts to real-world problems. The course community was also very supportive, and I enjoyed collaborating with fellow students from diverse backgrounds. If you're serious about becoming a data science rockstar, this course is a must-take!

RS
Rafaela Silva
BR · Course completed

I'd like to provide a detailed review of the Сертификат Мастер-Класса По Науке О Данных (Продвинутый) course. As a graduate student in Brazil, I was interested in learning more about data science and its applications in various fields. The course content was well-organized, and I appreciated the theoretical foundations and practical examples. The instructor's explanations were clear, and the video lessons were concise. I also found the discussion forums and assignments helpful in reinforcing my understanding of the material. One thing that could be improved is the addition of more advanced topics and specializations, such as computer vision or recommender systems. Nevertheless, I'm happy with my decision to take this course, and I feel more prepared to pursue a career in data science.





Shareable certificate

Add to your LinkedIn profile

Taught in English

Clear and professional communication

Recently updated!

May 2026