Lia  Morar

Lia Morar

1619277847

A Coder's Guide to the Recruiter's Mind

Wondering what goes in a recruiter’s mind when they are looking for someone like you?

Well, this webinar will cover everything that you need to know from the recruiter’s perspective. From appearing into an interview to landing on your dream job, this will help you with what needs to be done and how it needs to be done.

With 14 years+ of experience,Mr. Rushikesh Nakhate, is here to let you know what goes on from recruiter’s perspective, while hiring coders for their organisation.

#developer

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A Coder's Guide to the Recruiter's Mind
Murray  Beatty

Murray Beatty

1596344940

Help Your Data Science Career By Publishing Your Work!

This guide aims to cover everything that a data science learner may need to write and publish articles on the internet. It covers why you should write, writing advice for new writers, and a list of places that invite contributions from new writers.

Let’s get to it!

Why you should write:

Writing isn’t just for “writers”. The art of writing well is for everyone to learn - programmers, marketers, managers and leaders, alike. And yes, data scientists and analysts too!

You should write articles because when you do:

You learn:

Writing teaches you the art of writing. It’s kind of circular but it’s true.

Make no mistake, the art of writing isn’t about grammar (although, that’s important) and flowery language (definitely not important). It’s about conveying your thoughts with clarity in simple language.

And learning this art is important even if you absolutely know that you don’t want to write blogs/articles for a living. It’s important because all the jobs have some form of writing involved - messages, emails, memos and the whole spectrum. So basically, writing is a medium for almost any job you can have.

Apart from that, when you write you learn the things that you thought you knew but didn’t really know. So, writing is an opportunity to learn better.

#data science career tips #guide #guides #publishing work #writing guide

Lia  Morar

Lia Morar

1619277847

A Coder's Guide to the Recruiter's Mind

Wondering what goes in a recruiter’s mind when they are looking for someone like you?

Well, this webinar will cover everything that you need to know from the recruiter’s perspective. From appearing into an interview to landing on your dream job, this will help you with what needs to be done and how it needs to be done.

With 14 years+ of experience,Mr. Rushikesh Nakhate, is here to let you know what goes on from recruiter’s perspective, while hiring coders for their organisation.

#developer

Monty  Boehm

Monty Boehm

1626355800

Git & Github - A Coder's Guide to Programming

In the world of accelerating technological advancements, all companies, big-wigs as well as start-ups, rely heavily on programming; and professionals who know the skill of programming. Engineering students work hard for the roles of Data Scientists, Software Developers, Back-end Developers, Data Analysts, Technical Engineers etc. Though the designations hold different responsibilities in any firm or organization; there is one common skill that all these people share, i.e. they know coding/programming.

For all such talented minds who have the potential to change the face of technology, there is one platform which brings them together; that platform is Github. Github is an open Git repository which allows you to use Git, work on your code, and develop open source projects with programmers across the world. In basic terms, Github is an open source platform, built around Git, where millions of programmers can come together and collaborate on various different projects of their choice. Thus, whether you are an amateur coder or a professional programmer, Git and Github become an indispensable part of your everyday life.

#github #coders #programming

Lisa joly

Lisa joly

1624089840

Big Data Resume: Complete Guide & Samples [2021]

Thanks to the rapidly piling amounts of Big Data, the job profile of a Big Data Engineer is peaking.

In recent years, there has been such unprecedented growth in the demand for Big Data Engineers that it has become one of the top-ranking jobs in Data Science today. Since numerous companies across different industries are hiring Big Data Engineers, there’s never been a better time than now to build a career in Big Data. However, you must know how to present yourself as different from the others; you need to stand out from the crowd. Read the blog to have a better understanding of the scope of Big Data in India.

And how will you do that?

By designing and crafting a detailed, well-structured, and eye-catching Big Data resume!

When applying for a Big Data job, or rather for the post of a Big Data Engineer, your resume is the first point of contact between you and your potential employer. If your resume impresses an employer, you will be summoned for a personal interview. So, the key is to make sure you have a fantastic resume that can get you job interview calls.

Usually, Hiring Managers have to look at hundreds of resumes, be it for any job profile. However, when it comes to high-profile jobs like that of the Big Data Engineer, you must be able to grab the attention of the Hiring Manager by highlighting your skills, qualifications, certifications, and your willingness to upskill.

Let’s begin the resume-building process with the job description and key roles and responsibilities of a Big Data Engineer.

Table of Contents

#big data #big data resume: complete guide & samples #big data resume #big data resume #data science resume #guide

Ian  Robinson

Ian Robinson

1625011740

Real-Time Data Analytics: Guiding and Improving Business Decisions

Real-time data analytics help in improving business operations by analyzing and processing data chunks to provide instant insights.

Data, also known as the digital currency, is the fuel for modern businesses. The present-day enterprises are constantly bombarded with a humongous amount of data, which needs to be collected, processed, and analyzed. Hence, it is difficult to deliver useful business outcomes instantly. Real-time data analytics resolves the time lag between data collection and processing.

Gartner defines real-time analytics as, “the discipline that applies logic and mathematics to data to provide insights for making better decisions quickly. For some use cases, real-time simply means the analytics is completed within a few seconds or minutes after the arrival of new data.”

Accuracy and speed are crucial in data analytics. The modern business world needs real-time data analytics to efficiently deliver information, minimize costs and downtimes, and improve business decisions.

Benefits of Real-Time Data Analytics

#big data #latest news #real-time data analytics #improving business decisions #guiding #real-time data analytics: guiding and improving business decisions