What do I need to know in order to become a data scientist?

Updated: May 19

how to become a data scientist
What Do I need to know to become a data scientist

The role of data scientist is very very broad, encompassing data, domain, technology and most critical part the results, thus there are variety of positions under the role of DS. For better understanding purpose we shall segregate them into 2 types Business and Product.

To start lets see what do are the core skills that every data scientist needs ,then we will individually talk about types (Business, Product, Technology) and eventually how all three of them come together to successfully solve a business problem.

I have written this article, considering in mind that a lot of us are busy with our existing jobs, family commitments and so much more, my goal here is to make you understand that if you are looking for DS role, then how should you approach it from a Top Down Approach and get the maximum ROI for your time and money investment

So here is a list of things all DS should develop

1. DataAnalysis/ExploratoryAnalysis - You need to understand how to analyse data and extract key insights , That includes data visualisation and calculating key summary statistics. Proper exploratory analysis guides you throughout the rest of your project.

2. Data Pre processing - Transforming raw data into more useful data format which would include extraction,cleaning,transforming, aggregating, and de-aggregating data.

3. Applied Machine Learning - It doesn’t matter if you’ll directly be doing the modeling or not... machine learning is one of THE central technologies within this field. Applied ML includes data exploration & cleaning, feature engineering, algorithm selection, and model training.

Business Data Scientist

Business Data Scientist presenting stats
Who is business data scientist

Mostly Business data scientists work on problems like

  1. Marketing - Using sales data, customer profile data and marketing trend data to predict customer purchasing propensity.

  2. Operations - Building predictive models and operation strategies for predictive maintenance and least operational disruption

  3. Strategy - Building predictive forecasting models to help management take strategic decisions.

So at the core business data scientist working to improve business top line or bottom line through data analysis, predictive modelling, prescriptive analysis and testing. The emphasis is on the insight you can derive from the data

If you aspire to be a business data scientist, you need to focus on building your domain knowledge and more critically your communication skills, how do you communicate the results of your model and analysis will only determine your effectiveness.

Now you may be a little exhausted, to see the skills a DS need to develop and can it be developed by doing a certification or a course its your call, but if you were to my advice, follow the top down approach of learning and working side by side.

Product Data Scientist

Computer Vision based mobile application
Who is a Product Data Scientist

Product data scientists work on building a software or a AI/ML model to solve a product specific problem. For product data scientists, the emphasis is on the product that you build. They work on problems like