DS408
Research Methodology / Capstone Project Bootcamp - 2
Faculty
Anna Chuvilina
Self Employed Analyst
Course length
Duration
Total hours
Credits
Language
Course type
Fee for single course
Fee for degree students
Skills you’ll learn
Overview
During bootcamp part of this course we try to simulate working in a real company mode. This is time only for working with student’s projects. Students have the opportunity to discuss their questions with experts.
The final result - every student has a final understanding about the project and does about 40% of the project.
Learning highlights
- Student knows how to work with experts
- Student understands how to organize working with project
- Student understands how to solve problems in the project
Course outline
15 classes
Session 1
Re-fresh: discussion about project status. Bootcamp rules.
Session 2
Working with experts - formalize project plan and goal. Final commitment about the project.
Session 3
Working on the project. Q&A sessions.
Session 4
Working on the project. Q&A sessions.
Session 5
Working on the project. Q&A sessions.
Session 6
Working on the project. Q&A sessions.
Session 7
Working on the project. Q&A sessions.
Session 8
Working on the project. Q&A sessions.
Session 9
Working on the project. Q&A sessions.
Session 10
Working on the project. Q&A sessions.
Session 11
Working on the project. Q&A sessions.
Session 12
Working on the project. Q&A sessions.
Session 13
Working on the project. Q&A sessions.
Session 14
Working on the project. Q&A sessions.
Session 15
Project presentation. Feedback session.
Prerequisites
You should check materials from the first part of course. Also you should have the full project description: goal-setting, pitching the project, creating project plan (with calendar), project frameworks, features of projects in DS/ML applications, project problem solving.
Methodology
This course includes: lectures with discussions, workshops, presentation session (pitch).
Grading
Anna has various experience in project and product management, startups, educational and research projects connected with machine learning, product analytics. She has started her career at Yandex (Russia’s biggest technology company specializing in Internet-related products and services) and worked with different projects such as machine learning in industrial applications, connected cars and online educational service.
Anna worked as the Head of Analytics position and built a team with four directions of working: product, marketing, and financial analytics, and data infrastructure. Besides, she has students at Higher School of Economics every year where they learn programming on Python.
See full profileApply for this course
Research Methodology / Capstone Project Bootcamp - 2
by Anna Chuvilina
Total hours
45 Hours
Dates
Mar 14 - Apr 01, 2022
Fee for single course
€1500
Fee for degree students
€750
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FAQ
Will I receive a certificate after completion?
Yes. Upon completion of the course, you will receive a certificate signed by the director of the program your course belonged to.
Do I need a visa?
This depends on your case. Please check with the Spanish or Thai consulate in your country of residence about visa requirements. We will do our part to provide you with the necessary documents, such as the Certificate of Enrollment.
Can I get a discount?
Yes. The easiest way to enroll in a course at a discounted price is to register for multiple courses. Registering for multiple courses will reduce the cost per individual course. Please ask the Admissions Office for more information about the other kinds of discounts we offer and what you can do to receive one.