A Data Scientist Will Never Be Able To Escape SQL

For a language that was developed in the 1970s, SQL (Structured Query Language) is one of the most important skills you will need in your journey to become a data scientist.

In fact, together with R and Python, SQL forms the celebrated trio of data science programming languages that are most used by data science professionals.

And if these are not enough to convince you to learn SQL, consider this: mastering SQL, which is the bread and butter of data science, opens the doors to plenty of job opportunities.

The number of data science jobs for the more popular software (Source: r4stats.com – Data Science Job Report 2017)

Despite its 40-year legacy, SQL is very much alive and well, and is used by big and small companies alike to tackle challenging analytics problems and answer questions to improve business processes, operations and sales ROI.

How do I learn SQL then?

For one, we can enroll ourselves into the Data Analytics 101: Using SQL to Efficiently Retrieve & Analyze Data course, conducted by Persuasion Technologies, that makes it easy for us to get started with SQL.

In this course, we will use a relational database as your primary tool and SQL to access and analyze the data stored in the database.

If you are serious about learning how to retrieve large amounts of records from a database efficiently using SQL and getting a solid introduction to analytics and data-drive decision-making, check out this course by Persuasion Technologies.

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Persuasion Technologies

Persuasion Technologies is a Google Analytics Certified Partner, having conducted training for companies big and small. Participants in our course will gain hands-on practical experience in retrieving & analyzing big data sets that traditionally would be difficult to analyze using MS Excel and other similar tools.