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LearnSQL.com offers over 30 interactive SQL courses at various levels of difficulty. Each course delivers both theoretical knowledge and hands-on exercises to help you solidify the new ideas. To refresh your knowledge before an interview, try out SQL Practice track. If offer over 600 exercises to help you review and strenghten your SQL skills. Yes, you can provide a dynamic range in the “Data Source” of Pivot tables.

Finally, at last, we’ll load all these data to tools that help find insights. The UNION operator mixes the consequences of tables, and it gets rid of reproduction rows from the tables. User described or defined functions are the function written to apply the logic every time required. It isn’t always essential to write down the identical logic numerous times.

What function would you use to get the current date and time in Excel?

Declare a list of values that will be converted into an address column. Subqueries are used to enhance the data to be queried by the main query. To subset or filter data in SQL, we use WHERE and HAVING clauses. Sampling is a statistical method to select a subset of data from an entire dataset (population) to estimate the characteristics of the whole population.

This tests your ability to read, interpret, analyze, and debug code written by others. A LEFT JOIN returns all records from the left table, even when they do not match in the right table. In a similar manner, a RIGHT JOIN returns all records from the right table, even when they do not match those in the left table. Though both WHERE and HAVING are used to filter records, there is a subtle difference between the two.

What do data analysts do?

Below is an example of a subquery that returns the name, email id, and phone number of an employee from Texas city. Below is the SQL query to return uncommon records from region 1. The query stated above is incorrect as we cannot use the alias name while filtering data using the WHERE clause. The above function will return 6 as the result, i.e., 17th December is a Saturday. Outliers can be due to various reasons, including data entry errors, measurement errors, or genuinely anomalous observations, and each case requires careful consideration and interpretation. Outlier detection is the process of identifying observations or data points that significantly deviate from the expected or normal behavior of a dataset.

In this 6,000-word SQL interview guide, I’m here to set the record straight. For context, my name is Nick Singh and I’ve worked in a variety of Data/Software Engineering roles at Facebook, Google, and Microsoft. I also wrote the best-selling book Ace the Data Science Interview.

Technical skill questions

That’s why SQL for business analyst positions is becoming an industry standard rather than a nice-to-have skill. In addition, it allows you to better communicate with developers and database administrators. Data analyst interviews often include questions about handling missing data, challenges faced during previous projects, and data visualization tool proficiency.

• Make sure to think about this BEFORE you start writing your SQL query.
• To understand each window function in more detail, check out Mode’s SQL tutorial on Window Functions.
• Be sure to describe the situation that surprised you and what you learnt from it.
• Some of the most common SQL functions are SUM(), AVG(), COUNT(), MIN(), and MAX().
• SQL Server supports both user-defined and built-in stored procedures.

For example, you could use a window function to calculate the running total of all order totals in your customer orders table. Being able to use SQL, or Structured Query Language, ranks among the most important skills for data analysts to have. As you prepare to interview for data analyst jobs, you can expect that SQL will come up during the job interview process. SQL is one of the most critical skills tested in data analyst interviews, but you can’t just simply brush up on SQL and expect to pass.

SQL Interview Questions for Data Analysts [Updated for 2023]

Now that you know the different data analyst interview questions that can be asked in an interview, it is easier for you to crack for your coming interviews. Here, you looked at various data analyst interview questions based on the difficulty levels. And we hope this article on data analyst interview questions is useful to you. The answer to this question may vary from a case to case basis.

Outliers can be valuable sources of information or indications of anomalies, errors, or rare events. Time Series analysis is a statistical procedure that deals with the ordered sequence of values of a variable at equally spaced time intervals. This feature distinguishes time-series data from cross-sectional data. Univariate analysis is the simplest and easiest form of data analysis where the data being analyzed contains only one variable.

Develop career skills and credentials to stand out

For bonus points, you can even visualize the results in an interactive Tableau dashboard, and turn this into a full-fledged data analytics portfolio project. Finally, an open-ended SQL take-home challenge tests for much more than just raw SQL skills. Typically, you’ll have to write a report about what you did, which tests your written communication skills. You might even be asked https://wizardsdev.com/en/vacancy/sql-and-data-analyst-bi-analyst/ to visualize the data, which tests your data visualization skills as well. Lastly, over a Zoom call, you might be asked to present your analysis, and defend the work you did, which evaluates your oral communication and presentation skills. If you don’t know what constitutes clean, efficient SQL code read the article “10 Best Practices to Write Readable and Maintainable SQL Code”.

No matter what type of query interviewers ask you to write, this six-step process can help you organise your thoughts and guide you to a solution, even when you’re feeling nervous. Explore the questions you may be asked when you interview for a role as a data analyst and prepare for the SQL questions you’re likely to encounter. Think about the types of business problems that could be solved through data analysis, and what types of data you’d need to perform that analysis. Go beyond a simple dictionary definition to demonstrate your understanding of the role and its importance. SQL is typically considered simpler and narrower in scope than Python. If you’re new to writing code, SQL makes an excellent, beginner-friendly first language.