Guidance for switching career into Big Data, BI or Data Analytics


#1

Hi all, i am new to this forum and need guidance from industry experts here. I am interested in exploring a career switch into Big Data / Data Analytics domain. I have a degree in engineering (3 yr exp in telecom operations) and MBA in Mkt + fin (7 years+ exp in leading Business and Operations in IT software domain for a start up in my current role). I am a non technical guy. Pl advise appropriate career options/roles and any certifications that will be helpful. Any guidance would be immensely helpful. Rgds


#2

Hi Sunil

Data science is an intersection of various fields like structured problem solving, computer science (specially optimizations and algorithms) and mathematics.

Typical work of a data scientist is:

  1. Meeting with stakeholders to understand requirements
  2. Create clear business goals of WHY we need to develop this prediction system/ data science model. What metric are we chasing?
  3. Deciding which features impact the metric the most
  4. Getting data and cleaning it to get it in a usable format. Also implementation of features in code. This takes like 50-60% of the entire time
  5. Deciding the target variable and creating the model. This take 10% time but looks impressive in 90% presentations and is kind of the end result
  6. Tuning the model
  7. Deploying it in A/B testing environment and iterating over the model again and again to improve it further. Whether identifying segments or doing multiple models on them
    Typical tools used here are Python, R, SQL, Mongo etc

Big data analytics is generally more focused on making machine learning and data science models scalable. Typical technologies here are Apache hadoop, hive, kafka, spark etc

Given that you already have 7+ years experience in Business and Operations in IT software domain, there are some things to really keep in mind:

  1. Opportunity cost: Whether making the transition and time taken in learning these skills makes sense rather than just continuing with your current role/ progressing in it
  2. Interest level: Are you interested in prediction based problems like Stock market predictions, sentiment analytics, recommendation system etc
  3. Coding: You NEED to code in this profile, there is no way out
  4. Business Acumen: To be a good data scientist you need to have VERY GOOD business acumen of what works and what doesn’t? Simply thinking I will mine everything from data doesn’t work in practice

For starters you can enroll to some of the courses on trainings.analyticsvidhya.com to have a look.