Elon Musk is often under the spotlight for his radical tweets. But, let’s face it; his companies are successful and continue to inspire tech lovers all over the globe. Tesla, one of the most disruptive companies in the world, has revolutionized the automotive industry with its self-driving cars.
Owing to the growing prominence of data, Data Science is currently one of the fastest-growing and highest-paying IT jobs in the world. If your interest lies in building a productive, profitable career that promises exciting growth opportunities, a Data Science job is just what you need.
So you have set out to build your career in Data Science. But you are bombarded with a profusion of blogs, tutorials, and videos to choose from while doing your research. It’s easy for a beginner to get lost in the sea of uncurated information about Data Science. So, where do you start?The most trending field in the tech sector is unfortunately rife with myths. The many misconceptions floating around about the field make it challenging, especially for people trying to get their basics right and...
Are you all set to take the leap into the dynamic world of data science? How do you get a competitive edge in a field with thousands of aspiring data science practitioners? Being book-smart is not enough to break into a field as competitive as data science. The key is to get hands-on experience so you can become a viable candidate. A chief factor that carves your identity in the market, your hands-on experience can help you understand your strengths, and skills, and, most importantly, enrich...
A Data Science employer sifts through hundreds of resumes every day. What can you do to stand out? The key mantra is ‘customize your resume to suit the requirements of every company you apply to’. Framing your expertise in a way that ties into the existing problems or goals of the industry is the best way to land a lucrative role. Not only should your resume make you stand out in the crowd, but it should also project your potential as a solution your prospective employer seeks.
Getting a job in data science is, without a doubt, a milestone. Owing to the rising significance of data and data-driven business strategies, the demand for data scientists is growing exponentially across the globe. But how can a data science fresher land a lucrative role in this highly competitive space?
There are two kinds of professionals in the world: the ones who love what they do for a living and those who don’t. Do you fall into the latter category that, unfortunately, constitutes a large share of professionals around the globe? At some point, most of us feel that we could be working somewhere else, being more useful, and happily so.
The role of a business analyst (BA) is to act as a bridge between the company’s information technology and business departments. In simpler words, the BA assesses the organization’s business needs and how it can integrate with technology and facilitate these solutions to the stakeholders.
That's simple! The business analyst is the one who analyzes the business of an organization. Their role...
Regression is a way of assessing the relationship between possible causes and observed effects.
It finds use in different domains from Economics to Healthcare to Science to ascertain the relationship between the independent (cause) variables and dependent (effects) variables.
In this modeling technique, a set of statistical processes are used for estimating the relationships among variables.
1. Linear Regression
a. Simple Linear
b. Multiple Linear
2. Logistic...
Artificial Intelligence(AI) andMachine Learningare transforming many industries around the world. Few implementations such as autonomous cars are set to transform the world. But AI doesn’t always have to be the game-changer. Due to technologies such as Robotic Process Automation(RPA), AI is expanding to more areas. The areas include the business sectors where the tasks are repetitive. So, what is RPA? RPA involves a set of algorithms created to improve the quality of business results. RPA...
