Data Science with Artificial Intelligence Career Track program

Program Journey

GLabs and Program Content

Tools

Basecamp Sessions

Codealong - Saturdays

Explore

1-on-1 Mentoring

Career success requires more than education and willingness to work. Many successful people have benefited from having a mentor, a guide to the field, who can answer questions, point out opportunities, and smooth the way for a newcomer.

The 1-on-1 mentorship is hyper-personalized and hence it is completely “mentee-driven”. The 1-on-1 session template will help you to plan the agenda along with a template to maintain a weekly log of your progress and a workbook to keep track of your goals. This is the single source of truth for your mentor to understand where you are.

Here is the link to

DSAI Learner Workbook⁠

Guidelines

Please come to the mentoring sessions prepared. You must have done some work on Glabs and spent time learning before coming into the session to make the optimum use of the mentoring session.

Think through what you wish to discuss with the mentor relevant to your data science learning and career. The agenda themes identified below will help you in framing your thoughts.

Frame your doubts properly. Show the mentor that you have put in your effort and genuinely asking doubts.

Wrong doubt: What is Data Science?

Right doubt: I have read about data science and I am unable to understand how to check if data science is applicable. Could you point me to the right resource or explain in brief?

Don’t ask mentor for help with the glabs assignments during learning. If you are stuck, the GA slack workspace is the right place. Use these sessions to show your projects, resume, etc and get feedback from the mentor.

We are here to provide all the support, environment and community to help you succeed. Once you must put in your hard work and effort (and this is the most imp ingredient for success), you are bound to succeed.

Schedule : Thrice a month for 30 minutes.

Total Sessions : 24 sessions over the period of 8 months

Mentoring Journey

Mentoring Journey

Month

Theme

Expectations

Month 1

Python Programming

Get comfortable with Programming with Python

Work on multiple projects to get used to programming

Get your projects evaluated as well as get feedback to improve from your Mrntor

Month 2

Math and Stats

Get comfortable with the basics of Math and Stats require to understand ML

Get your doubts cleared in every mentor session

Complete chapter and sprint end projects and get them evaluated by your mentor

Month 3

Machine Learning

Understand the basic processlike EDA, Data Preprocessing and Model building to get a ML solution

Clear your doubts as well as get various tips and tricks to build a ML solution

Complete chapter and sprint end projects and get them evaluated by your mentor

Month 4

Advanced Machine Learning

Understand advanced ML techniques like hyperparameter tuning, Feature Selection and various algorithms

Discuss with your mentors on showcasing your projects done on Github

Month 5

End to end problem solving

Understand about end to end problem solving

Get feedback on your end to end solutions from the mentor

Discuss with your mentor on improving your hackathon outputs

Month 6

Resume Building, Portfolio projects

Build an appropriate resume, end to end portfolio projects

Get your job profile reviewed by your mentor

Month 7

Interview Process

Get prepared for interview process and build out a job search strategy

Discuss your interview expectations/experience with the mentor

Get advice on improving your interveiw outcome with mentor

Month 8

Fine Tuning your profile

Discuss your strengths and weakness with the mentors

Build an improvement strategy

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