SQL is still important and necessary for hunting data analyst position. Below is a job requirement for a data analyst. As you can see strong experience with SQL is a necessity for this post.
SQL (Structured Query Language) has more than decades of history. SQL may not sound fancy as Python or R, two more modern popular programming languages, it has always been a part of the requirement for being a data analyst.
Below is a job requirement for a data analyst. As you can see strong experience with SQL is a necessity for this post.
From which company?
Tesla. Proficient in SQL gives you a higher chance to be a part of many big companies. And On Linkedin, there are over 7100 results with “SQL Data Analyst” in the US.
I believe these pictures are already convincing how crucial SQL is. With years of experience coding SQL, I am here to coach you on how to use SQL on a data analyst level. Since this article is for people without any prior knowledge, I will thoroughly explain everything. Moreover, I will only cover the querying and analysis parts. Therefore there will be no insert into/update/delete/alter table …statements. All statements begin with “Select”.
The dataset demonstrated is from Student Alcohol Consumption in Kaggle (Link). The schema name is “dataset” and the table name is “student_mat”
To query record from a table, you need to tell which column is necessary from which table. Therefore in every SQL statement for querying, you must provide such information in the statement. The basic statement is
SELECT * FROM dataset.student_mat;
There are four parts to this statement. The first part is a keyword
select that is used to select records from a database. The second part is the select clause,
*.This part is to input which column you want to query.
* represents to query all columns from a table. The third part is another keyword
from and the last part is the
dataset.student_mat.The last part is to input the name of the table.
dataset is the name of a schema. A schema is a collection of tables, views, etc. You can think of a schema as a group of tables and
datasetis the name of this group.
student_matis the table name. There is a semicolon
;at the end of this statement to indicate that the statement is ended. (Although in some SQL database systems ending with a semicolon is not required, here I will just include it.) We can interpret this SQL statement as “To query all columns from the table “student_mat” in schema “dataset”.” One thing to remember is that keyword is case insensitive. Therefore
selectis equivalent to
The result of this statement will be like this:
SELECT * FROM dataset.student_mat;
As said, you can replace
*with the column names that you want. The result will then only include those columns.
SQL stands for Structured Query Language. SQL is a scripting language expected to store, control, and inquiry information put away in social databases. The main manifestation of SQL showed up in 1974, when a gathering in IBM built up the principal model of a social database. The primary business social database was discharged by Relational Software later turning out to be Oracle.
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