Recent Articles
The Basics Of Cybersecurity For Non-experts
Cybersecurity is a critical aspect of our digital lives. It refers to the protection of personal and sensitive information from unauthorized access, use, disclosure, disruption, modification, or destruction. With the increasing use of technology in our daily lives, it’s important for everyone to understand the basics of cybersecurity. Here are some essential concepts that every non-expert should be aware of.
How Many And Which Programs Should I Learn For Being A Skilled Data Scientist?
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
Navigating An Economic Downturn: How To Plan A Career Switch To Data Science
Recently, there has been a massive layoff spree by top companies such as Google, Microsoft, and Meta. As difficult as it gets for those who are going through the layoffs, it is a challenge for those who are planning to switch careers. If you are one of those who is planning to switch to a career in data science, it is important to be strategic during these times.
Comparing The Top Three RDBMS For Data Science: Microsoft SQL, MySQL, And PostgreSQL
According to the Stackoverflow community survey in 2022, the respondents were asked which database environments they have done extensive development work in over the past year, and which they want to work in over the next year. Even though below answers have a mingle of relational database management systems with the others, in this article, we will compare the top three RDBMS: Microsoft SQL, MySQL, and PostgreSQL.
Ten Things That You Need To Know In Statistics: The Fundamentals of Statistics
In this post, we’re going to discuss ten essential things that you must understand to excel in statistics. These include concepts, equations, and theorems that will not only greatly help you pursue data science but prove your understanding of statistics as well.
Unlocking The Power Of Soft Skills In Data Science
Data science is a rapidly growing field that combines statistics, computer science, and domain knowledge to extract insights and predictions from data. While technical skills such as programming and machine learning are important for data scientists, soft skills -personal attributes and interpersonal abilities- are also crucial for success in this field.