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Yes, you can enroll in as many courses as you want from Great Learning Academy. There is no limit to the number of courses you can enroll in at once, but since the courses offered by Great Learning Academy are free, we suggest you learn one by one to get the best out of the subject.

Great Learning Academy provides this Analytics with SQL and Python course for free online. The course is self-paced and helps you understand various topics that fall under the subject with solved problems and demonstrated examples. The course is carefully designed, keeping in mind to cater to both beginners and professionals, and is delivered by subject experts. Great Learning is a global ed-tech platform dedicated to developing competent professionals. Great Learning Academy is an initiative by Great Learning that offers in-demand free online courses to help people advance in their jobs. More than 5 million learners from 140 countries have benefited from Great Learning Academy's free online courses with certificates. It is a one-stop place for all of a learner's goals.

Enrolling in any of the Great Learning Academy’s courses is just one step process. Sign-up for the course, you are interested in learning through your E-mail ID and start learning them for free online.

Yes, once you enroll in the course, you will have lifetime access, where you can log in and learn whenever you want to. 

You may have come across many other tools that are commonly utilized for data analytics. SQL is capable of creating and interacting with many databases, and surprising enough, it is capable of performing data analysis. Hence, yes, you can use SQL for data analytics.

Python and SQL are both common languages used in data analysis. Python is a protean language that can be used for data wrangling, cleaning, and analysis. SQL is a database query language that can be used to access, filter, and aggregate data.

Python and SQL are the most powerful programming languages for data analysts. Python can be used to perform various operations in a database, such as retrieving data, updating data, and deleting data. You can always pull data from your relational database created using SQL directly into your Machine Learning pipelines and store data from your Python application.

It depends on the data you want to work on. For structured data, SQL is the most straightforward programming language to start with. But if you want to start with Data Science, then learning Python programming language will prove to be more helpful as it provides various simple ways for dealing with complex data. Both the programming languages are the in-demand skills for data analysis.

SQL as a programming language is the easiest one to learn due to its syntax simplicity and contains a few concepts compared to Python. Python is the programming language that contains vast concepts to get familiar with for the smooth sailing of the tasks at hand where you are dependent on Python language.