K-Minds

By DataPoint Armenia

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Immerse yourself in a 10-week program designed as a dynamic

and collaborative professional development experience.

The program is scheduled to run from June 5th to August 14th.

K-Minds 2023 Application Is Closed

Who are you…

 

You are among the next generation of data scientists. You are flexible, fast-adapting, and a natural self-learner. With this program, you’ll learn a wide range of modern tools, accumulate tricks and tips for keeping up with the ever evolving DS field, and use modern analytical frameworks to solve relevant problems for the Armenian tech industry.

 Prerequisites:

  •  Experience with a programming language, desirably python
  •  Knowledge of basic/intermediate statistics
  •  Knowledge of linear algebra
  •  Knowledge of (multivariable) calculus
  •  Comfortable communication in English
  •  Persistence and motivation
Career Development Sessions
10
Access to
11
Active Learning and Project Sessions
40
DPA's Network
172

You will get technical experience in…

  • Python

  • SQL

  • AWS

  • GitHub

  • Jupyter Notebook

You will…

  • Assemble your data science portfolio

  • Engage in job interview preparation

  • Access career guidance from our mentors

  • Access a professional network of data scientists

Shape your foundational knowledge for the current data science industry

Here is a sneak peek to the 10 week curriculum…
  • Data Cleaning
  • Data Visualizations
  • Feature Engineering
  • General Statistics for Data Science
  • Hypothesis Testing
  • Supervised Learning: Classification, Regression
  • Unsupervised Learning
  • VS CODE, VIM, SHELL, GITHUB
  • SQL
  • AWS
  • Story-telling with Data
  • Reading research papers from the recent AI conferences

Apply your skills to develop real-world solutions in the tech industry

Advance your skills on a real-world project with the guidance of our project lead. We are collaborating with Plat.AI to provide a real-world dataset and facilitate a setting that allows for participants to engage in the complete data analysis pipeline – from the problem statement to execution and presentation. This gives you a qualified experience into the standard workflow of the modern data-driven industry.

Launch your Data Science career

Here is a sneak peek to the 10 week career development…
  • Data Science Ecosystem in Armenia
  • Pursuing Data Science in Academia
  • Resume Do’s and Don’ts
  • 1-1 Resume Building
  • Digital Self Branding
  • The technical interview Process
  • Interview Preparation
  • Mock Interviews

K-Minds Career Mentors

Vahag Karayan

Co-Founder & CEO, BrandLens Inc.

Mariam Avagyan

PhD Student in Electrical Engineering
Columbia University

Arman Zakaryan

Data Science Engineering Manager, ServiceTitan

Narbe Mardirossian

Head of Computational and Data Sciences,
Terray Therapeutics

Maga Khachatryan

CEO, MagAnalytics

K-Minds Alumni Mentors

Aram Adamyan

K-Minds Alumni, Alumni Mentor

Alisa Davtyan

K-Minds Alumni, Alumni Mentor

Ani Petrosyan

K-Minds Alumni, Alumni Mentor

Tigran Hakobyan

K-Minds Alumni, Alumni Mentor

Monica Sekoyan

K-Minds Alumni, Alumni Mentor

K-Minds Team

Manana Hakobyan

Co-Founder & CEO, DataPoint Armenia

Arpine Keyan

DS Curriculum Developer, DataPoint Armenia

Lilit Petrosyan

Co-Founder & CGO, DataPoint Armenia

Michael Abassian

Co-Founder & Director of QA, DataPoint Armenia

Taline Mardirossian

Co-Founder & CPO, DataPoint Armenia

Armen Hovannisian

Co-Founder & COO, DataPoint Armenia

 

Hurry! The Application is Open!

 

The program comes with fully funded scholarships which you will be automatically considered once you submit your application. 
    DataPoint Armenia is grateful for all the contributors who made this program happen. 
 
       - After the application submission deadline we will contact you if you passed to the next stage. 
       - The applicant selection process consists of four stages: the online application, resume review, technical assessment, followed with an interview.

You can also explore our last iteration of k-minds!

Learn More Here