DS408
Capstone Project Bootcamp
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 the bootcamp part of the course, we’ll try to simulate working in a real company. For this to happen, we’ll only work with student’s projects and they will have the opportunity to discuss their questions with experts.
The final result: every student will have a good understanding about their project and will do about 40% of it by the end of the bootcamp.
Learning highlights
- Learn how to work with experts
- Understand how to organize working within a project
- Understand how to solve problems for the project
Course outline
15 classes
Session 1
Re-fresh: discussion about project status. Bootcamp rules. Proposal presentations.
Session 2
Proposal presentations
Session 3
Welcome meeting with experts. Working in groups
Session 4
Lecture: “How to Create a Good Project”. Working in groups. Q&A sessions.
Session 5
Lecture: “Processes in Project”. Working in groups. Finalizing project topic.
Session 6
Lecture: “Preparing for Defense”. Working on the project. Q&A sessions.
Session 7
Lecture: “ML Projects”. Working in groups.
Session 8
Working on the project. Q&A sessions.
Session 9
Lecture: “Startup Processes”. Working in groups.
Session 10
Working on the project. Q&A sessions.
Session 11
Lecture: “Cyber Security Projects”. Working in groups.
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
Pre-defense. Retrospective.
Prerequisites
You should check materials from the first part of the course. Also you should have the full project description.
Goal-setting
Pitching the project
Creating a project plan (with calendar)
Project frameworks
Features of projects in DS/ML applications
Project problem solving
Methodology
This course includes:
Lectures with discussions
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
Capstone Project Bootcamp
by Anna Chuvilina
Total hours
45 Hours
Dates
Mar 13 - Mar 31, 2023
Fee for single course
€1500
Fee for degree students
€750
Explore related courses
How to secure your spot
Complete the form below to kickstart your application
Schedule your Harbour.Space interview
If successful, get ready to join us on campus
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.