Stay current with the latest insights
on our Blog!

Being a Data Scientist has been a successful career choice during the last few years. Read on to know more.

As the name implies, data science is the area of study that investigates enormous volumes of information using modern tools and techniques to find unseen patterns, derive meaningful information, and make business decisions based on that information. Predictive models are built using complex machine learning algorithms in data science. The data used for analysis can come from many different sources and be presented in various formats.

Nipun Gupta from Bhopal had a very fulfilling career as a professor. But, over the course of time, he realized that to be at the forefront of the advancements in the industry and to stay a viable candidate in the job market, one needs to upskill and reskill. Nipun decided to beat his career stagnation with a career in Data Science.

Are you a budding Data Science professional? Does the thought of getting rejected by hiring managers keep you up at night? If yes, you are certainly not alone. A hiring manager goes through hundreds of Data Science profiles every day. The only way to make it to your dream job role is by making yourself stand out in the job market. This is where your Data Science portfolio steps in and saves the day. 

Suppose you are working as an analyst, and your manager asks you very specific questions like “what is the current sales trend?”, “what are my customers buying?”, “is my customer buying a mobile? which is the most likely product he may buy along with it?”, “how much do we need to produce to meet the market demand?” how would you answer them? 

To answer all the questions above, one needs to start with mining data. It also helps machine learning engineers in processing the data. Keep reading to...

Power BI is recognized as one of the most in-demand skills in the domain of Data Science. It is used to visualize any data using the unified, scalable platform for self-service and enterprise business intelligence (BI) that’s easy to use and helps you gain deeper data insight. 

In this article, you will learn the following:

• The fundamentals of Power BI
• Types of visualizations in Power BI
• Features of Power BI
• Components of Power BI

Let us dive into a situation where you are driving a vehicle;...

As the amount of data generated every day increases exponentially, creating a logical, simplified database has become the need of the hour. This is why data modelling has become one of the most crucial aspects of Data Science. In this article, understand:

Businesses need data to thrive. They scrounge through petabytes of data they are surrounded by to unearth business intelligence. But not everyone in an organization is data-savvy enough to comprehend the information extracted using data. 

Data Science is one of the highest-paying jobs in the world and a top choice for professionals who make career switches. As for Shilpa Ingole, a professor with a decade-long experience, her lack of industry experience was a significant hurdle that stood in the way of her career aspirations. Despite having a Master's degree in Information and Technology, she wasn't confident about pursuing a career in Data Science.

As the name implies, data science is the area of study that investigates enormous volumes of information by using modern tools and techniques in order to find unseen patterns, derive meaningful information, and make business decisions based on that information. Predictive models are built using complex machine learning algorithms in data science. The data used for analysis can come from many different sources and be presented in a variety of formats.