01
Feb
To become a data scientist, you should have knowledge of a variety of programming languages, which include Python, R, Java, SQL, JavaScript, C/C++, and Scala, to name a few. But why do you need to learn these programming languages? Let’s find out the answers by taking a look at the top programs you should learn to make your career path in data science a smooth-sailing one
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.
22
Apr
Data science has become the buzzword over the last few years. Companies and organizations in virtually every industry are looking to get the optimum value from their rapidly increasing information resources. As we are living today in a data-driven age where interconnected humans and devices are churning out a huge volume of data every second relentlessly, it has become necessary for organizations and companies to take optimum advantage of their internal data assets and scrutinize the integration of hundreds of third-party data sources.
31
Mar
In the domain of data science, Python and R are two of the most popular programming languages. Let’s dive in to check how Python and R stack up against each other.
30
Mar
If you’re looking to learn a programming language that you can use to enter a wide range of verticals, Python is undeniably the best option. This general-purpose programming language is widely used in diverse fields — from data science and machine learning to software and web development, and more. Thanks to its beginner-friendly nature, anyone can get Python training to meet specific goals. Whether it’s testifying your programming skills or getting a raise in salary — the Python certification can help you accomplish these goals easily.
30
Mar
For a successful career in data science, you are going to need to learn at least one programming language. Since two common languages are Python and R, a widespread question is “Which one should I learn? Python or R?”
29
Mar
If you want to write code a lot faster and in an easier way, you just can’t ignore the benefits of Jupyter Notebook shortcuts. This can be especially helpful if you’re using Jupyter Notebook for Python.
29
Mar
Python functions are logically grouped, self-contained blocks that have reusable and organized codes to carry out a solitary task or related set of tasks. By using Python functions, you can boost program readability, evade repetition of codes, alter a program easily, break up a complex process into simpler and smaller steps, and decrease the chances of error.
13
Sep
According to various job advertisements for different data science positions, both Python and R belong to the most commonly mentioned and preferred skills. But a lot of studies have revealed that Python programming language is being used more by data scientists. But what exactly makes this language a preferred one for data scientists? In this post, we’ve tried to find out the answer.
10
Aug
In recent years, machine learning has been one of the most talked about tech topics and is being applied to businesses widely. Put simply, this application of artificial intelligence allows computers to learn and improve without being programmed directly. The revolutionary technology presently forms a highly crucial aspect of countless established, as well as, burgeoning industries. Let’s have a look at the key reasons why you should start preparing now to become a machine learning professional.