Thread by @Sukriti_Macker

I had attended a webinar recently and learnt something incredibly unique! I discovered that you could be a Data Scientist, but having a #specialisation is IMPORTANT!

What is a "specialisation"? How many kinds of specialisations are there in #DataScience Domain?

Thread🧵

*Specialisation*
One can acquire all the skills of a Data Scientist, but having specialisation in a particular skill can set you apart from the rest. It can be anything! You can analyse data as no one else; data visualisation or database management (#DBMS) could be your niche.🤩

☑️Data Visualisation
If you have a knack for producing beautiful graphical representations from the data, this could be your domain of specialisation, and you could become a Data #Visualisation Engineer.

☑️Data Engineering and Data Warehousing
If you think you can clean, transform and extract data from various sources efficiently, you can opt for the following roles: #Data Analyst, #Database professional, Data #Engineer.

☑️Strategy Making or Business Intelligence
Suppose you think you can develop great solutions to a business problem and formulate strategies to boost the business. In that case, you can opt for the following roles: BI Engineer, Data Strategist, BI Analyst, BI Developer.

☑️Data Mining
If you think you can EXPLORE the data, draw insights from them and predict trends, you can opt for the following roles: #Statistician, Data analysts, Business Analyst.

☑️Machine Learning
If you think you can write an optimised code for #ML Algos, perform A/B Testing, train models, deploy the trained models, and build data pipelines, this specialisation is for you. The roles include ML Engineer, Researchers, #AI Specialist, Cognitive Developer.

☑️Cloud Computing & #Architecture
If you know how to design and implement infrastructure that requires cloud computing & know how to host ML models on a cloud platform, then this specialisation is for you. The roles include Cloud Architect, #Cloud Engineer, Platform Engineer.

☑️Operations Data Analytics
This role doesn't require you to possess high technical skills. You can be a problem-solver and know how to use data #analytics tools to draw insights and predict trends from the data. The roles include Planning Analyst, Decisions #Analyst.

☑️Market Data Analytics
This role involves measuring, analysing, and managing marketing performance for effectiveness and optimise return on investment. It requires an understanding of the market #trends, customer needs & preferences.
Job roles: Product Analyst, Market Analyst