Data science, data analytics and Big data are three terms that have been doing rounds in the technology world. These 3 have become important and knowing the right difference between them can be essential to choosing your career path. You could be a big data expert, a data analyst or a data scientist depending on […]
Data driven decisions are necessary to stay ahead in today’s VUCA landscape. Although data is readily available today, research shows that organizations are are still a long way behind leveraging data to the fullest. A latest study by Forbes Insights and Treasure Data revealed that only 13% of the companies surveyed leveraged their customer data […]
If you are a software engineer who has been let off or someone looking to move into another job role, look no further. The best option is to upskill, get into the field of Data Science and ride on the wave of data science that is taking over the future. Did you know data science […]
The field of Data Science has seen an exponential growth in recent years. Data from the job portal Indeed point to the fact that job postings for data scientists has seen a 75% rise from January 2015 to January 2018. Additionally, job searches for Data Scientist role saw a 65% rise in the same time […]
The growth of Data Analytics in the recent years has simultaneously affected the growth in the field of Data Science. Data Scientists are individuals who work with data using scientific tools to derive significant insights. The terms data engineer or statistician should not be used interchangeably with a data scientist. In fact. A data scientist […]
It is habitual for Data scientists to explore novel techniques and tools to aid in their programming. It is essential for them to be adept at using a large number of these tools. To be a successful data scientist, several criteria need to be met including a broad understanding of programming and a working knowledge […]
Over the years, Python has become the most popular & widely adopted programing language for data science applications. Its user-friendly nature and lightweight implementation make it a great choice for data scientists. It can be easily used for data analysis where we need to integrate the results into web apps or to add mathematical models or codes for production. […]
For a decade, Data Science has now been a hot topic, but most of its concept was present theoretically. The practical application of Data Science became only possible after the existence of large data sets to work upon, effective machine learning algorithms, and systems to operate these algorithms. […]
You are a data scientist and you have every required skill to analyze a value out of data. You have knowledge of Machine learning, Data munging, Data visualization & communication, and basic tools and statistics, but you don’t know what type of industries or markets you want to look out for or what type job role will suit you, then you are probably at the right place. In this post, we will be discussing various types of industries where the application of data science is highly blooming. […]
With consumers spending more time than ever on games, the gaming companies became an important part of the global entertainment industry. These companies are the champions of interactive entertainment as they are outstanding at stimulating social, creative, and sharing behavior. The global gaming market will reach $115.8 billion in 2018 with mobile taking 45%, states Newzoo in its Global Games Market Report. […]
A decade ago, Big Data and Analytics were buzzwords but only a few organizations recruited Big Data analysts and Data Scientists. Now that it’s a proven fact that data can drive business value, data science skills are in high demand in almost every industry like software industry, consulting firms, government, and healthcare. […]
Kiran R, Director, Data Sciences & Advanced Analytics at VMware, conducted a webinar with SpringPeople, where he covered all about Data Sciences and it’s career prospective. In this LIVE Online Knowledge session, Kiran shared his expertise and in-depth understanding of Data Sciences which he has gained from his vast experiences while working in some of […]
Data mining is used in various forms in different fields of today’s world. Numerous industries have now begun using data mining to compete with the present data analysis environment. In order to acquire easy and quick evaluations of patterns and trends of the prevalent market and to produce useful and fast market trend analysis, different mining techniques and tools are used. Let us now learn about the utilisation of data mining in various industries. […]
In 2020, the world is expected to generate 50 times more data than in 2011. Considering this, we have no denial to accept the fact that we need many conjurers who can maneuver data and create magic with it to drive business growth and innovation. Since the time Data Scientist had been voted as the […]
Thomas Davenport’s book, “Competing on Analysis: The New Science of Winning ” was the first of its kind to spread awareness among organizations about the business potential of the analytics. And, today competitive business, data science and business analysis are very closely linked. They form the base of the organization integrally and help in business […]
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