Certified Stack_Compressed.png

BUSINESS TRACK
NON - CS BACKGROUND

CS TRACK
CS OR CODING BACKGROUND

On Computer Science Track, You have larger opportunity at your disposal. 


OPTION 1 : Become a Business Intelligence Developer:


If you would like to become a Business Intelligence Developer then you would be going through the path of being introduced into Business Analytics with 


1. Business Intelligence (CVE)


As your interest deepens into Data, after qualification you can get enrolled into


2. Data Science & AI (CDA) 


for acquiring skills around ML & AI and embark onto journey of Modern Data Science.


--------------------------------------------------------------------------


OPTION 2 : Become Cloud Data Engineer / Cloud ML Engineer:


If you would like to continue being a Developer Advocate then you would be going through the path of being introduced into 


Learn working with Large Data and create scalable pipelines for AI ML Cloud projects by enrolling in 


2. Data Science & AI (CDA) 


for acquiring skills around ML & AI and embark onto journey of Modern Data Science.


As your interest deepens into Data, after qualification you can get enrolled into


3. Data Engineering & Cloud (CDE)


Upon successful completion of all the three courses you will become a Full Stack Data Scientist

As a Business/Domain Track which means you are from any Non CS Background such BBA, MBA, BCom, ACCA, CA, Acturial Sciences, Medical Field, All Non-Programming Engineer Degrees, you would be going through the path of being introduced into Business Analytics with 


1. Business Intelligence (CVE)


As your interest deepens and now you have necessary data skills, after qualification you can enroll into


2. Data Science & AI (CDA)


for acquiring skills around ML & AI and embark onto journey of Modern Data Science.


Upon successful completion of the track you will become a Citizen Data Scientist or Data Science Manager and be able to apply Advance Analytical Skills and manage  AI Projects at your workplace and leverage the power of data!

Discover Best Data Science
Degrees in Karachi, Pakistan

Pursuing a Degree Program vs Getting Certified

If you're willing to do a complete bachelors in the emerging field or topping up your existing degree with a Masters in Data Science, you will require to spare at least

A. 4 Years in a Bachelors Program

B. 2 Years in a Masters Program

The outcome is super promising as a the culture of degree will support your here in Karachi to obtain your dream roles without a much question.

Most of the companies having Data Science roles now require relevant degrees in Mathematics, Computer Science or Specific ones such as MS DS or BS DS.

If you're a Computer Science Graduate then you will be preferred an admission into premier computer science university, However if you are a Business graduate get prepared to be enrolled in a mediocre Data Science bachelors program. 

How ever for your knowledge this is not only the hot route, people are now favouring short Certifications over full bore Data Science degrees to speed up the skills and get hands dirty in the industry to earn valuable experience and get ahead in careers.

Still not convinced? Explore Degree Programs

Guidance on Online Learning at Home at your own Pace for Free

Warning : This shall not be fit for everyone!

In the modern times, learning a skills takes no time then accessing it online and learning from resources such as Coursera, EDx and Udemy.

We have compiled a list of skills in the Journey that are required to pursue a career in Data Science.

Our prediction says, that every professional must required data skills in the next coming 5 years, according to Coursera Skill Survey and our analysis on LinkedIn Jobs Requirements.

We have written a details blogs on necessary skills required around basic understanding of data with:

1. Excel & Data Visualization Skills

2. SQL & Python Programming Skills

3. Machine Learning Literacy & Application

4. Data Engineering Skills in Cloud for CS / SE Professionals

Check out this resource that you can follow to do your self...

image_17.png