Data Analyst

Jill Thornhill

Data-Driven Career Choices: Database Student

Choosing a career is one of the most important decisions you'll ever make. A data-driven career is one of the best ways to secure your future; today's trend is to store and make use of more and more data in every field. In this article, I'll look at some of the choices available. We're living in an era where the quality and quantity of data is expanding exponentially. In almost any career you choose, you'll need to leverage data to make effective decisions.

Maria Durkin

SQL for Data Analysis: What Should I Learn?

You may already be aware of SQL's importance in data analytics. But what features of SQL are important to data analysis and where can you learn them? In this article, we will answer your questions. Before we talk about using SQL for data analysis, it helps to know what we’re talking about. So, let’s define these two things. Structured Query Language (SQL) is a programming language that is used to manage data in relational databases.

Adrian Więch

Google Analytics and SQL

Google Analytics is a very popular tool among website and blog owners alike. With a simple and quick setup, it lets you gather data about your web page visitors easily. However, did you know that you can export data from Google Analytics to create your own SQL reports? Read this article to find out how. Google Analytics is an extremely popular and powerful solution that lets you collect and analyze various kinds of information about your website.

Marija Ilic

Should I Learn SQL as a Data Analyst?

So, you are a data analyst—someone who relies on data. You like to gather, clean, and transform data and come to conclusions based on data. You are a data detective. Which tool do you choose to do your job in an elegant, reproducible, and simple way? Excel? R? Python? Or should you learn SQL? Stay tuned! In this article, I will explain why SQL is a must-have skill for data analysts.

Dejan Sarka

SQL Statistical Analysis Part 1: Calculating Frequencies and Histograms

Database and Business Intelligence (BI) developers create huge numbers of reports on a daily basis, and data analyses are an integral part of them. If you wonder whether you can perform statistical analysis in SQL, the answer is ‘yes’. Read my article to learn how to do this! Statistics are very useful as an initial stage of a more in-depth analysis, i.e. for data overview and data quality assessment. However, SQL statistical analysis possibilities are somewhat limited as there are not many statistical functions in SQL Server.