From businesses and government institutions to non-profit organizations, there is a seemingly-infinite quantity of data that can needs to be sorted and interpreted to get information that can be applied for a wide array of purposes. With “big data” being the buzz word these days, pursuing a data scientist career has become one of the hottest trends of modern times. Whether you take up a full-time data science course or opt for a data science bootcamp in Silicon Valley, you’ll need to known certain trending technologies (as mentioned below) to make a mark in this field:
Today, a huge number of businesses across the globe are striving to make sense of the massive amount of disparate data captured by them through various means. With the help of data scientists, they can transform this inordinate volume of data into actionable insights which can influence their operations heavily. And that’s probably the biggest reason the data scientist career is considered one of the most attractive in the tech field. While data science leaves a profound impact on the tech field, it has also started transforming almost all other sectors – from telecommunications and retail to agriculture and health, just to name a few.
Though having a computer science background or a degree would help you become a data scientist, it’s not a must-have thing if you’ve got your eyes set on a career in data science. According to DJ Patil (who became the first chief data scientist of the US in 2015), data science doesn’t care about if you’ve got a degree or what you majored in. The thing that really matters is what you do with data.
Data mining refers to the process where a large amount of data is analyzed to extract new and hidden information from it, which can then be used to boost business efficiency. In other words, you can say data mining searches for valid, hidden, and potentially useful patterns in large data sets. Since data mining needs multi-disciplinary skills, you’ll have to use statistics, machine learning, AI (artificial intelligence), and database technology. Since data mining helps you discover previously unknown/unsuspected relationships amongst the data, you can use the insights gathered from it for scientific discovery, sales and marketing, fraud detection, etc.
While a huge percentage of businesses, both small and large scale, are thinking about implementing data science these days, not all of them are fully aware of the abilities of a data scientist and how he/she can benefit their companies. If you’re also planning to open up your doors to big data and leverage its full potential, you’d need to hire a data scientist who’ll derive actionable insights from a massive amount of data. And thus, it makes sense for you to be fully aware of data science benefits. Keep on reading as we’ve jotted down the most important ones among them.
Data science is an extremely dynamic field where a significant number of aspects keep on changing on a regular basis and we can expect them to bring even more value in the upcoming future. Despite the omnipresence of data science professionals in almost all business sectors these days, the field is still in its nascent stage. While it’s true that the extensive use of this field is currently limited to a few fields, over the next few years, we can expect it to start powering a lot of fields in a similar way. In this post, we’re going to explain why data science is being considered the future of the tech field.
In today’s business landscape, data science has become almost ubiquitous and is steadily gaining control
over the tech field. With a massive amount of data being generated on a regular basis, a huge number of
organizations are trying to leverage the power of data science. With the help of data scientists,
businesses can come up with effective solutions for their problems and predict present and future
trends, which directly lead to success. But as with any other field, data science also comes with its fair
share of difficulties.
Though the blockchain technology was conceptualized as a core element of the cryptocurrency Bitcoin,
today we can see a significant number of blockchain applications and businesses across the globe are
steadily adopting the technology to leverage its full potential. If you’re an aspiring blockchain
enthusiast, keep on reading this post as we’re going to take a detailed look at the blockchain technology
and its working method.
You’re probably aware of the fact that data science and machine learning together with Python as the
preferred programming language of data scientists and developers alike are all being considered the
hottest career paths in the IT field. Businesses across the globe are increasingly becoming reliant on
these fields and are hiring trained professionals who’ll help them rise above the competition.
Magnimind Academey, one of the leading names in the field of data science training provider, might be
best known for its full-stack data science bootcamp in Silicon Valley but it also offers a broad range of
mini bootcamps on various related fields including machine learning and Python.
In this post, we’re going to discuss why any of the certificates obtained from Magnimind Academy
would help you make a big leap forward in your career.
If you’re a regular reader or follower of programming and technology blog posts and news, you’ve probably noticed the rise of Python as lots of well-acclaimed developer communities like CodeAcademy and StackOverFlow have mentioned this as a major programming language. In the last few years, Python has become one of the most preferred languages for data scientists, developers, and software engineers because of its unmatched features. In this post, we’re going to discuss why obtaining a Python certification would help you take a big leap forward.