24
Aug
Jupyter notebooks can be powerful tools to connect to your remote database. They allow you to streamline, replicate, and document your data. In this tutorial, using a Jupyter notebook, we will briefly see how to connect to a PostgreSQL database, which is a popular open-source relational database, and how to make queries in a Jupyter Notebook using Python language.
16
Jun
How can a non-profit organization best use its available marketing budget to enhance its potential operations further? How can a business sort through customers’ purchasing data to develop a marketing plan to rise above the competition? These questions become even more important when you consider the seemingly-infinite amount of data that can be sorted, interpreted, and implemented for a diverse range of purposes. For this reason, people should compare the data by learning data science.
16
Jun
In the tech domain, there is a huge buzz going around the future abilities of AI and machine learning in terms of how they’ll be impacting our lives. These include high-end things like instant machine translation, self-driving cars, just to name a few. However, AI and machine learning are very much present in these days and they are facilitating human lives in a lot of ways, whether you may realize it or not. In this post, we are going to take a closer look at how these technologies have already started impacting the life of the average people.
16
Jun
Among all the capabilities of artificial intelligence, probably the biggest one is its ability to extract meaning from human language. And natural language processing (NLP) is the subset of artificial intelligence that makes this possible. You can consider natural language processing as a method for machines to analyze, understand, and obtain meaning from human language in an effective and smart way.
16
Jun
The word ‘data science’ is often associated with big data and Silicon Valley is the destination for someone looking to get a job in the field. Whether you are a new graduate in data science, or a seasoned professional, the move to Silicon Valley should be a good choice.
15
Jun
Today, data science has become an exciting and growing field – thanks to the emergence of Big Data and the need to gather and preserve the data being generated. The need for data scientist certification among organizations, whether large or small, is opening a huge door for professionals who synthesize a huge amount of data and process it in a way beneficial for companies. If you need to be more convinced about why you should aim to become a data scientist, and the data scientist career path. Here’re the ten key reasons to consider.
15
Jun
In today’s technology-driven world, the war for top talent has become absolutely fierce among global tech giants (Google, Microsoft, Apple). With the job market getting tighter, these giants have started raising their already stratospheric salary offerings (like the salary of the Data Scientist). They’re striving to attract and retain top talents by crafting undeniable offers coupled with a working environment where employees can thrive. Here, we’ve outlined some key advantages that you can relish by getting recruited by the tech giants.
15
Jun
The increasing buzz around data science has already attracted a lot of computing enthusiasts and the demand for data science professionals seems to go up with each passing day. In addition, the gap between the availability of skilled professionals and the demand is quite substantial, which makes it even more of an exciting career path.
14
Jun
The Glassdoor Report last year (Glassdoor’s 50 Best Jobs In America For 2018) named data scientist as the best job in the US for three years running. The report took into consideration three key factors, namely job satisfaction rating, median annual base salary, and the number of job openings. Each of these three factors was given equal importance, and it was found that data science jobs excelled across all three.
14
Jun
Data science has emerged as an extremely lucrative career choice where big companies pay their data scientists top dollars. As experts are calling this domain the one with hot jobs for the future, more and more people are rushing to learn ways that would help them crack their data science interviews.