Skillslash

  An area of study that has been at the forefront today, may it be in the technology field, workforce, or innovation, this field of study is widely recognized, this field of study is none other than that of ‘data science’. Data Science gained importance in companies and organizations all around the globe as people recognized the importance of data science in the smooth and effective functioning and decision-making process of their companies. Data Science was not only beneficial to businesses but also in the various domains of finance, healthcare, e-commerce, marketing, and more. Here, we look into some of the domains where the study of data science is important and useful through real-life case studies.   1.   In Healthcare:   Case Study - ‘Predictive Analytics for Patient Outcomes’   Using the study of data science in the healthcare industry has its benefits when it comes to understanding patient information and providing patient care.   How so? This is because of

  MongoDB is growing to be a popular name among Python developers and offices as one of the most well-liked NoSQL databases. Why? What is it about MongoDB? MongoDB is one of the most flexible and scalable platforms found by individuals for the modern applications of today. Python developers recognize the endless stream of multiple opportunities that arise when they incorporate MongoDB into the projects they work on.   We will examine the best practices, hints, and techniques that one can use to make the most out of MongoDB’s capability in Python, with code examples and detailed explanations in the following article.   What is MongoDB?   The “MongoDB object-relational database” commonly known as MongoDB, is a popularly known NoSQL database ( “NoSQL databases are non-tabular databases that store data differently than relational tables.” ) that stores data in JSON-like representations that resemble documents. MongoDB works effectively for applications that require real-ti

  Data science careers have taken a major boost in the 2020s and are constantly growing and welcoming more people with multiple job openings in MNCs, startups, corporates, and any company you name. As we are entering yet another new year of 2024, the requirements for skilled data scientists are on the rise and this rapid growth is making it important for data science aspirants to choose the right education, and to be able to get the right education, you will have to research and make a choice of the right university to lead your career.   Recognizing the importance of a good university and a good data science course we have collected some of the top universities and even programs for you to look into and choose from depending on your budget, and convenience. Therefore, do not rush to make a decision,   take your time to scroll around and weigh your options before choosing a university or course that could decide your future   Why choose to study at a good university or enro

  Thinking of becoming a data scientist , and are wondering how your days would look like if you became one?   So, here in the below article, you will be able to learn and look closer into the life of a data scientist and how they might go about their days by getting to see how they navigate through a professional day as a data scientist.   Morning Routine [ Kick off with some coffee, code, and collaboration ]   8:00 am - 9:00 am: Typically, the day of a data scientist tends to start in the early hours of the morning with a cup of coffee, tea, or their preferred refreshment. And is followed by a look into their phones assessing the day’s work and further learning about any new or recent developments and trends in their field.   9:00 am - 10:00 am: Working in the data science profession it is important to communicate with your team and colleagues regularly to keep everything running smoothly. Therefore, the mornings of most data scientists begin with a group meeti

  In the present time and day of fast-moving technology, where everyone is connected through phone lines, networks, and the internet the ease of accessibility is higher than ever but it also comes with a high rate of cyber crimes increasing all over the world.   Presently, there is no need for one to be physically present in an area or even within the border of a nation to be able to get access to important and sensitive information from devices. This constant development of technology has made possible not only the many benefits of speedy and efficient connections all over the world but has brought crime closer and easier done.   Along with professional data, the personal data and financial data of individuals all over the globe are out there moving around the digital world and people hunting to prey on the data. So, for individuals to protect their data and prevent any chances of risks it is important to know about and have the right tools to protect online data and keep

  In today’s world the number of job positions have multiplied tremendously. From the times when jobs were limited to being a doctor, engineer, teacher/professor, accountant, or a journalist to now where there is a job title for multiple fields of experience. Like in the case, of the field of data science , which has quite recently emerged as a competitive field and is growing in demand throughout the world. The data science field has opened up multiple new job opportunities and job titles for people to work in. One such job position is the position of a ‘Machine Learning Engineer’ .   In this article we dive into understanding the role of a Machine Learning Engineer. From who is a machine learning engineer to understanding the responsibilities, skills and work that comes with the position of a Machine Learning Engineer.   Who is a Machine Learning Engineer ?   Who is a Machine Learning Engineer ?   A Machine Learning Engineer, is not any individual but is an expert