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If you're ever planning to make a career in either of these fields, its important to learn the difference between the two. Business Analysis vs Data Science Difference #1: Definition
Put simply, the overarching goal of a business analyst is to help grow a business in a given market under certain conditions. They have a direct influence on critical financial decisions made in the company. They use data to create and change policies, improve productivity and stabilise systems. A data scientist, on the other hand, is responsible for collecting, processing and reporting findings from a massive data dump. Data scientists convert raw data into structured, meaningful silos which are then used to generate reports on trends or make forecasts. Business Analysis vs Data Science Difference #2: Analysis
A business analyst perceives data, insights and requirements from the perspective of the business and its overall operational systems. A data scientist observes and visualises the relationship between data in a database. While data analysts derive insights from data dumps, business analysts take what is needed to make the business function better and meet certain milestones. Both problem-solving roles are highly data-focused; the difference is that they enter at different stages of the operation and manipulate data to different goals. Business Analysis vs Data Science #3: Skills
While the skills required for both roles might overlap by virtue of dealing with data, in the end, there are some differences. The following skills apply for data scientists:Programming: Where premade software might not be flexible enough, data scientists must be equipped to make personalised changesSoftware: Data scientists must be well-versed in a plethora of tools serving different purposes, from statistics to visualisationData management: From collecting to segregating and organising massive data dumps, data scientists are expected to be adept at managing and manipulating data
When it comes to business analysts, the following apply:Analytical skills: By virtue of their job role, business analysts need to be excellent at analysing data and immediately spotting significant information and leveraging itTechnical understanding: though not as much as data scientists, business analysts are expected to understand databases, basic software and visualisation systems to interpret dataSoft skills: Business analysts need to network and brainstorm with multiple key players, so t.