Career Advice

Are you wondering why should you learn SQL? This guide will let you know about the benefits of using SQL for your business purposes! Read through this!

Structured Query Language or SQL is a domain specific language that is used to code and manage information held in a relational database management system.

SQL, Python, R, or Tableau? With so many tools to choose from, which ones do I need to know?

Data science is attracting a broad audience from a range of backgrounds because of its novelty, popularity, and all the perks involved.

How I've prepared for data science interviews and the online resources that I've used in the past.

With a boom in artificial intelligence, data science, and machine learning applications, the demand for Python developers has also increased. Python’s ease of access and readability has made it one of the most popular programming languages today.

The business sector is a field which embraces technology. The sector is constantly in flux because one needs to make the most of novel opportunities to finish first.

In this article, we will be looking at 5 soft skills that are essential to being an effective analyst. These skills will work in conjunction.

Python has been growing as a popular choice among Data Scientists. The language itself has merits that make it a great choice for all kinds of programming as well as analytic applications.

The right platform can make or break your career. Educational platforms to learn how to code SQL, python, JS, etc are numerous and tailored to several different crowds like web developers and data scientists.

Python is now regarded as a must-have skill for most of the data analytics and data science job roles. And even though its seeming popularity is not the primary reason for it, it seems to be a major contributing factor.

Want to master the basics of Data Analytics? StrataScratch has got you covered. This platform helps business & marketing professionals to make analytics easier.

A data scientist career path that will take you to the stages from complete novice to landing your first data science job.

Analytics allows businesses to take a data-driven approach to achieve their goals. By leveraging technology, data modeling, and statistics, businesses can develop new insights that can help them in developing or marketing their products better.

Structured Query Language or SQL is the backbone of data analytics and data science. SQL assumes data in the form of tables similar to spreadsheets.

SQL is a prerequisite skill for all those who are aiming for positions in the Data Analytics domain. And like any other core topic, the SQL knowledge of a candidate is tested via written examinations, coding tests as well as interviews.

There are so many online resources out there claiming to be the best place to learn that it can be difficult to know who to trust. So let’s get started.

I cover 4 different types of bootcamps for complete beginners to experienced professionals.

In the business world, data is everything. We use business analytics and marketing analytics data to help us understand the market and our customer.

Learn Python with real examples and metrics, get the top 5 Python guides and speed up your progress. Get started today with best tutorials and exercises.

With advancements in technology and most of the population having access to the internet, there is no denying that data analytics has become a hot topic in recent years.

The twenty-first century is the age of information. The internet is now an essential part of human life, and some countries even see Right to Internet Access as inalienable. Knowledge is power, and information is the lifeblood of today’s world.

This blog post follows our “SQL Interview Questions From Real Companies” video which can be found at https://www.youtube.com/watch?v=n6gM265zG68. In this post we’ll go through 4 SQL questions you’re bound to encounter during a technical interview.

Artificial Intelligence is a booming sector of Information Technology. AI has gained a lot of popularity over the years and now finds itself a part of various sectors even outside the IT industry.

The path to building a great career as a data scientist does not need to be complicated. Here are 7 actionable tips on how to get a job as a data scientist.

We have gathered a set of our top 5 SQL Exercises to help you understand the logic and operations in a better way. Check out the SQL guides at StrataScratch.