Data Analyst Vs Data Scientist | Difference Between a Data Scientist and a Data Analyst

Data Analyst Vs Data Scientist | Difference Between a Data Scientist and a Data Analyst
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To learn how data scientists are different from data analysts just takes – seconds/minutes. So, let’s get started.
First up, they’re not entirely different. Both careers are in demand and pay well. The average data analyst earns $ 65,470, while the average data scientist makes $ 120,931.
The difference in salaries, however, indicates a difference in the skill sets of these professionals. Data scientists are advanced data analysts. They possess additional skills that allow them to do more with data.
Data analysts generally access known data from a single source like a CRM to solve a given set of business problems.
These problems are usually customer or user-centric.
Data analysts aim to uncover new insights from known data that can help them resolve the chosen problems.
They manage data on programs like Excel.
They use SQL to raise queries and find the solutions they are looking for.

Much of their work revolves around scanning existing data to identify new patterns and make new correlations.
Sometimes, they work with engineers to create new data if the known data is insufficient.
Lastly, they use Tableau to effectively communicate their findings.
Data scientists can perform most of the tasks data analysts perform.
Additionally, they possess data warehousing, machine learning, programming and statistical modeling skills that help them formulate the most-pressing questions businesses must look to answer.
They are proficient in programs like - Python, R, SAS, Matlab, SQL, Pig, Hive, Scala and Hadoop.
Their work is not restricted to what affects customers.
And, it involves working with data from multiple and often disconnected sources.

Data scientists possess greater business acumen than analysts.
They are also more adept at visualizing data and communicating insights to varied audiences.

Given the power of data in today’s world, data scientists can ask the ‘what if’ questions to business stakeholders and IT leaders to alter the course of businesses with powerful story-telling.
For these reasons, they earn twice as much as data analysts.

Now you know what sets data scientists apart from data analysts.

Become a Data Scientist: https://acadgild.com/big-data/data-science-training-certification?aff_id=6003&source=youtube&account=dY2yDwUfZu0&campaign=youtube_channel&utm_source=youtube&utm_medium=da-vs-ds&utm_campaign=youtube_channel

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