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Brijesh Kumar Awasthi

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A career in data science is enriching and resilient to significant global changes. In fact, the demand for data scientists increased exponentially during Covid-19 and the recent global economic recession. When unemployment rates were at their highest during the pandemic, data science professionals took home a base annual salary of almost $200,000 as individual contributors and a yearly salary of up to $300,000 as managers. Unlike other conventional jobs, a career in data science demands the right skills, advanced knowledge, and experience. This article has put together the critical steps to finding data science jobs and making the next big move in your career. Working on advancing your data science skills In fact, data science jobs are among the 50 Best Jobs in America for 2022. Yet, employers have difficulty scouting the right talent for these jobs. Before starting your job hunt, you must have the right technical, analytical, and…

Introduction While preparing reports or analysing data, it becomes a task to do calculations manually or separately on a calculator. Microsoft Excel enables its users to do all the calculations in the software using Excel formulas while preparing reports or analysing the data. Excel is a widely used software application used in corporate offices and businesses to help employees ease their work. Here is a list of top MS Excel Formulas that are extremely useful. Learning and applying these formulas while working on Excel will help you upskill and work efficiently. Useful MS Excel Formula 1. SUM This function performs the mathematical operation of addition on the selected cell values. For example: To get the sum of items mentioned in column A, you have to simply type in the function ”=SUM(A2:A5)”. This will automatically add the content fill in cell A2 to A5, and the total will be displayed in…

Microsoft hails as one of the biggest cloud computing service providers with a team of several data scientists and data engineers. It mainly relies on Azure, AI tools, and Machine Learning. As many aspire to apply at Microsoft, here are some core competencies to master and tips to prepare for it. About the Interview Process The entire data scientist interview process consists of 3-4 tests (like online tests, written tests, technical tests, interviews, etc.) and takes about 2-4 days to complete. Candidates are shortlisted from the pool and taken to the next rounds based on scores obtained in each round. Online Test: It is a CoCubes online test with multiple choice questions regarding basic machine learning, neural networks, deep learning, statistics, distribution, basic aptitude, logical reasoning, graph theory, etc. Group Fly Round: It is an on-the-spot coding test. The candidates are provided coding questions that are supposed to be answered…

Data science and analytics is a rapidly-growing field. As we move towards a data-driven digital world, data science and analytics will grow further at a tremendous speed and scale. It is poised to become a dominant field, helping in the progress of various industries across the globe. The New York Times has described data science and analytics as a “hot new field that promises to revolutionise industries from business to government, health care to academia.” From a career perspective, it is one of the best paths. Data science and analytics offer candidates various job opportunities and diverse job roles across multiple sectors. In this blog, we will look at some of the most prominent job roles that exist within the realms of data science and analytics. 1. Data analyst A data analyst is a professional that analyses raw data to extract valuable information that can be used to make better-informed…

At the Audit Diwas event, our honorable Prime Minister, Mr. Narendra Modi, said, “Data is information, and data will define the future.” This clearly highlights the potential of data science and analytics in the future. People who can use data insights to make well-informed decisions are needed in every business today. In most businesses, only a few people have the ability to grasp and evaluate data. Data literacy is in demand and highly regarded across all industries, making an analytics profession attractive to people from all walks of life. Why Build A Career In Analytics And Data Science? According to IBM forecasts, by 2020-21, there will be more than 2.7 million job openings for people with critical data capabilities, up from 2.35 million in 2015. Data is the future, and with so many job prospects, the sector is anticipated to continue to grow. One can build a career in analytics…

Most of us are now aware of chatbots. When we type our questions into a chatbot assistant, it automatically provides relevant answers to our questions. The same goes for some of the modern-day internet search engines such as Google, Bing, and Yahoo. Now, The question arises how do these search engines understand our texts and provide very accurate answers at such a scale. OK, let me type this question into Google and let us see what I get as an answer.