The steadily increasing importance of data science across industries has led to a rapid demand for data scientists. It’s been said that the role of data scientist is the 21st century’s sexiest job title. If you wonder why it has become such a sought after position these days, the short answer is that there has been a huge explosion in both data generated and captured by organizations and common people and data scientists are the people who derive valuable insights from that data and figure out what can be done with it.
Guido van Possum – a Dutch programmer, developed Python in 1980s. You can use this object-oriented and open-source programming language for an extensive range of applications such as developing, scripting, and testing. Thanks to Python’s simplicity and elegance, top technology organizations like Google, Dropbox, IBM, Quora, Cisco, Hewlett-Packard, Mozilla, Qualcomm etc have implemented it. Before we take a look at the rising certification costs of Python, let’s try to understand what makes this programming language the most preferred choice of a majority these days.
Python is an extremely popular programming language that can be used to perform a plethora of tasks. From building machine learning algorithms to websites and almost anything in-between – you can do them all with it. This high-level programming language is also dominating other languages when it comes to AI (Artificial Intelligence). In addition, python comes with an array of libraries and tools that help data scientists to explore large datasets. As a result, in the entire programming domain, Python certification has become one of the most sought after skills. Let’s have a look at some statistics.
Do you want to strengthen your technical skills together with problem-solving skills and creativity? Do you want to switch over to technical career from a non-technical one? If your answer is “yes” to any or both of these, attending a boot camp should be your best bet.
As technical skills are high in demand these days, boot camps have become one of the most sought after methods to obtain the additional skills required to cover the extra mile in your career. Over the last few years, boot camps have popped up all across the globe, which promise to consider non-tech candidates and transform them into tomorrow’s technical people, often in as little as a couple of weeks or months.
The association of AI with common public may have been limited to Hollywood films like Terminator, iRobot, Ex Machina etc a couple of years ago, but the technology today is right here with exponential future possibilities. These days, billions of people across the globe interact with artificial intelligence on a regular basis through their computers, phones and other smart devices. It has revolutionized the technology landscape that millions of people reap benefit from.
Artificial intelligence has become a crucial part of daily human lives today and it assists in almost every scenario – whether you realize it or not. Every time you do a Google search, book a trip online, receive a product recommendation from Amazon, or open your Facebook newsfeed, which are just a few everyday instances – AI is lurking in the background. In this post, we’ve rounded up ten practical examples across multiple industries that demonstrate how pervasive the technology has become in our everyday lives.
Today, Python has become one of the most favored programming languages among developers across the globe – from process automation to scripting to web development to machine learning – it’s used everywhere. Before we delve deeper to understand why Python is steadily becoming a great choice among machine learning professionals, let’s have a quick look at where actually the study of algorithms helps in.
In today’s world of cutting-edge technologies, implementation of image processing techniques has become a crucial part for many tech organizations, regardless of their volume and field of operation. Acquisition of instant information has become possible because of the advancements taking place in the domain of the internet.
Data is feted as the ‘new oil’ and data science has emerged as one of the most promising career paths in today’s world. You can consider the role of data scientists similar to that of an oil refinery, as they convert data into insights that can help businesses make the right decisions, generate revenue and save money.