Data Science is a new frontier in the IT world, and there is a growing number of organizations looking for professional Data Scientists. Organizations from different verticals like healthcare, e-commerce, banking and finance, collect vast oceans of data to analyze and process that helps them make accurate business decisions. The role of a Data Scientist is to use statistical tools and their knowledge to help the business make sense and gain useful insights for growth. Data Scientists are often rock stars within organizations, combining computer science, mathematics, pattern recognition, and business perception to solve complex business problems. Being a Data Scientist is not always about analyzing data or solving technical problems, you need to be actually passionate about data analysis, observe patterns that only an accomplished, expert Data Scientist can. Data Scientists also should be willing to keep learning emerging technologies to grow their skillset.
Data science is a high-demand career choice in India with sky-high growth potential. Data Scientist roles have some of the highest entry salaries in the market and professionals with niche skills are sought by organizations that are expanding and aggressively hiring.
Responsibilities of a professional Data Scientist:
- Recognizing trends through analysis of processed data.
- Creating customizable solutions with an emphasis on the customer of the product or service.
- Communicate well enough to collaborate with all the internal departments and present insights for the best course of action to business owners.
- A natural sense of curiosity for problem-solving and willingness to work independently are also helpful.
- Implement the best applications, practices, and algorithms to leverage data to accomplish business goals.
- Knowledge of coding languages, analytical tools, machine learning, and Artificial Intelligence
- Refining data collected from structured and unstructured data sets.
How much does a Data Scientist earn?
The starting salary for Data Science is at $95k in the US and £30,000 in the U.K. In India, a mid-level lateral candidate in data with 5 to 9 years of industry experience can expect a salary between INR. 8,00,000 to INR. 12,00,000 per annum. Professionals with the same experience but having niche skills along with accreditation can expect salaries that go up to INR. 17,00,000 per annum.
Data Science aspirants can be programmers, application developers or database consultants to begin with, but should have a strong proficiency in SQL, Python, Scala, SAS, Hive, and R. There are other parallel positions that are related to Data Science like Data Analyst and Data Engineers.
Data Scientist: A professional employed to analyze and interpret complex digital data, such as the usage statistics of a website, especially in order to assist a business in its decision-making.
Data Analyst: A professional whose focus of analysis and problem solving relates to data, types of data, and relationships among data elements within a business system or IT system.
Data Engineer: A professional responsible for finding trends in data sets and developing algorithms to help make raw data more useful to the enterprise. This IT role requires a significant set of technical skills, including a deep knowledge of SQL database design and multiple programming languages.
Career path to become a Data Scientist:
Certified data science professionals are highly sought after by organizations to increase and optimize their businesses. The role of a Data Scientist is multi-disciplinary and hence the career path may lie in various verticals such as engineering/programming, data specialist/data leader, product management and business/ supply chain management. Based on which vertical you are working on, you can further your speciality with specific techniques of statistical analysis, deep learning and operation research.
The right course will give you valuable guidance to get you started on your career journey for a role in a different segment. Some of the best courses are designed by the industry’s most foremost experts, which are broken down into modules to ensure that even beginners can grasp the concepts.
CloudThat provides online classroom training for students and professionals to gain in-depth knowledge, hands-on experience with machine learning techniques and build solutions to the stakeholders.
The Certification Bootcamp for Exam DP-100: Design & Implement Data Science Solution on Azure is targeted to provide professionals a learning platform to understand the various Azure Learning services usage & integration processes and create a profound impact on business decisions.
A Study Guide for Microsoft Azure DP-100 Certification Exam is a one-stop guide for your learning needs is curated in this blog. Core data concepts, prerequisites, exam patterns, percentage of questions from different modules, and various learning paths have been made available for you. Self-learning portals links, tips, and tricks useful during the exam and available. If you follow this guide thoroughly, your journey towards becoming a certified Azure Data Scientist will be smooth and successful.
If you want to pursue a career in AWS, then is the right course for you with hands-on labs for simulation of Hybrid Cloud Environment is the AWS Certification BootCamp for Big Data – Specialty: BDS-C00.
Data Science is not just a financially rewarding career path but also can offer individuals the most fulfilling opportunities to solve some unique problems faced by the world today. Data Science is a state-of-the-art field that needs discrete personalities who meddle into specific data science roles to come together and solve revolutionary problems. There are a lot of opportunities available for professionals to build a successful career as a Data Scientist. If you are ready to take up these challenges, responsibilities, and continuous learning then start your journey today.
Marcus Lemonis rightly quotes-
“If you don’t know your numbers you don’t know your Business”
Feel free to share your feedback, comments and queries. Our team will get back to you quickly.