Data is everywhere today. All the institutes, organizations, companies, websites, social media, and everything handle data, manipulate data, and generate data. For example, a social media giant like Facebook generates more than five hundred terabytes of data per day. Likewise, a jet engine, a stock exchange, or any other significant entity must deal with large amounts of data each day, thus the term ‘Big Data.’

Photo by Mika Baumeister on Unsplash

Big Data refers to a massive amount of data, too complex to be analyzed using simple traditional methods, growing exponentially with time. …


Photo by Lukas Blazek on Unsplash

Data is the buzzword today, and data science is a significant field for any industry. An aspiring data science enthusiast can learn data science from multiple platforms and sources, not necessarily from a college itself, and hold a degree. Different blogs and articles highlight the online courses and learning opportunities in various programs that a learner has to observe. After resorting to information and guidance from several sources, one should go for a specific platform to start learning because the right choice of learning material and pedagogy play a crucial role in building knowledge. This article does not focus on…


Photo by Campaign Creators on Unsplash

Businesses of all sizes today aim at becoming data-driven organizations, which has become one of the topmost priorities of new world companies. The revolution in big data led to an unprecedented idea that preached smaller storage and more capable technology, warehousing, and sifting through enormous amounts of information. The absolute volumes of data gave rise to multiple business intelligence prospects. Today, organizations have to build up their business intelligence competencies by working on big data by querying, data collection, data mining, data visualization, and other data analytics machinery. One must use those tools skillfully to yield insights that can advise…


When students aim to pursue their MBA in an international institute, they usually need to appear and clear language proficiency examinations like the IELTS and TOEFL. However, if one does not clear the exam on the first attempt, it adds to further expenses and consumes time. Securing a decent score in these tests can prove to be a challenge for non-native English speakers.

Photo by Hunters Race on Unsplash

If you want to get an edge in your MBA program as compared to your peers, then you can do this course in advance.

Here are a few top-ranked universities that provide admission for an MBA course…


Photo by Myriam Jessier on Unsplash

Currently, the demand for the skill of SQL is on the rise. Most of the jobs describe their skill requirements, and while doing that, they mention the knowledge in SQL specifically. As the name suggests, ‘Data Science’ is data-driven. Thus, SQL will be an integral part of any data science job. It is also because of the advantage that it offers among the other alternatives. This article tries to elaborate on why SQL and querying are essential for data science and related roles.

If you want to learn SQL for data science, then you can start your journey here!

Structured…


Data is the new currency. Data enables you to verify, quantify and validate your assumptions behind whatever products or services you offer. It empowers you to decide which hills to fight for and which ones to just let go. The more you know about your business and customers, the better decisions you can make. Grow data-driven insights and build customer loyalty! You can track competitors and get your own performance data over time to make informed decisions.

Photo by Stephen Phillips - Hostreviews.co.uk on Unsplash

Everyone is always talking about how important data is, but very few people actually use it strategically to drive action. That’s a huge…


Data Science is an incredible force driving today’s businesses. Almost all organizations attempt to harness the power of Data Science in deploying an efficient strategy, finding valuable insights, making appropriate decisions, and optimizing resources. With the increase in the relevance of Data Science, industries have come up with several different and singular roles for data science enthusiasts to enhance their growth. The emergence of such roles has paved the way to success in many areas of multiple fields. One such role is that of a Data Architect, also called a Big Data Architect, highly relevant in the contemporary world. The…


Photo by Campaign Creators on Unsplash

Over the years, the scope of data, data science, and machine learning engineering has increased manifold. Most of the fields have undergone a paradigm shift. What follows is increased recognition of Data management, leading to a rise in the demand for one of the most significant roles in any industry, a Data Engineer. Data Engineering is one of the most dominant data science career options in the world of data science today. Most data science and machine learning engineering enthusiasts are aware of a data scientist’s role. Likewise, Data Engineers play a crucial role. …


Photo by Emil Widlund on Unsplash

Python is the most widespread and popular programming language in data science, software development, and related fields. The simplicity of codes in Python, which helps learners avoid any confusion, is the key to this popularity. Python has constantly been developing, and it keeps getting updated for more ease in using. With 137,000 plus libraries and tools, Python has always provided its users with the solutions to problems of any complexity level. This reason makes Python the ideal language for Data Science operations. This article focuses on some of the essential and must-learn libraries in Python used heavily by Data Scientists…


Photo by Jon Tyson on Unsplash

The dilemma around deciding the must-know programming language, Python or R, for Data Science has existed for a long time. Experts list out multiple reasons for the significance of both. However, one can observe that only one of both languages needs to be adequately learned by an aspiring Data Scientist. Though Artificial intelligence, Machine Learning, and data-driven innovation use both languages to predict the future based on data, each language has its pros and cons. This article will examine Python and R, their advantages, similarities, usage and differences, limitations, Job popularity, etc., to obtain some conclusions.

If you want to…

Ashwini Jain

I am a career counselor, and a study abroad mentor.

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store