With the increase in technology use, data volumes have become exponential. Businesses today heavily rely on data-driven decisions and hence look for the right talent pool to source data from reliable sources and use it for their growth. Data science and data analytics are two popular fields in almost every industry.
Data Science
Being a multifaceted discipline, which is dedicated to extracting meaningful insights from structured as well as unstructured data, Data Science is highly relevant. It employs certain algorithms, along with preprocessing techniques. Additionally, there are scientific methodologies used by data scientists to uncover and make sense of patterns and insights for decision-making. The field of data science is closely tied to Artificial Intelligence. If truth be told, data science is one of the most in-demand skills today. It is a seamless integration of programming, mathematics, computational skills, and statistics.
Data Analytics
Data Analytics concludes raw data using systematic processing and analysis. This practice is crucial to every business. It helps organizations make informed decisions based on insights derived from data. Essentially, data analytics simplifies complex datasets into actionable conclusions for deeper, more strategic decision-making.
While data analysts study larger datasets to identify trends and create visual representations, data scientists develop new data production and modeling procedures.
The responsibilities of data analysts vary across industries. Their core duty is to leverage data to bring on the table insights and solve challenges. Data analysts usually have backgrounds in statistics and mathematics. However, people from non-quantitative fields could also transition into this arena by acquiring certain skills and knowledge. The skills one needs to become a data analyst are:
These professionals uncover the unknown. They formulate insightful questions and develop algorithms. They also construct statistical models. Contrary to data analysts, they engage with undefined datasets by using various tools to automate processes. Data Scientists have mathematical and statistical knowledge, along with robust programming skills. Most of them have advanced degrees. The skills they need include:
To choose the right career path, you need to consider these factors:
Your Background
Data analysts generally have degrees in STEM fields. They often pursue further education in analytics. However data scientists need strong technical skills. Thus, you need to assess your current qualifications to see which path suits your background better.
Your Interests
It is equally important to reflect on what excites you. If you are passionate about working with statistics and numbers, data analytics might be more suitable for you. If you have a strong interest in computer science and its business application, consider data science.
Salary, Career
Even compensation varies between two roles. The salary packages offered to the data scientists might be better than those offered to the data analysts. This is because the former may possess more advanced skills and experience. They might have better opportunities. However, today, with the advent of technology, data analysts too have personally rewarding career opportunities.
VTechLabs offers the most comprehensive and advanced Data Analytics Training in Vadodara, Gujarat. More than 83 students have completed our program. Our all-inclusive training covers all aspects of data analysis carefully and explains to learners how to identify key findings and generate insightful reports.
Our Data Analytics Training is designed for learners from various backgrounds. We assign them live industrial projects and dedicated mentors. Join VTechLabs and become a successful data analyst! Reach out to us for more information.
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