SQL for Data Science

Control the World’s Big Problem—Learn SQL

Being a data scientist is your dream? The SQL for Data Science course covers all the SQL capabilities you need for data exploration. With each passing week, you will gain expertise in Syntax for SQL commands and a hands-on session on the RDBMS tool.

In the modern corporate world, Data Science as a tool is indispensable in providing data for result-oriented business decisions. With this SQL course, you can learn the art of extracting meaningful data and integrating it with programming languages, R and Python. It helps you overcome the ‘how to’ by focusing on getting the job done. Based on real-life dataset examples— the course starts teaching basic select commands before advancing to complex cursors.

Train yourself to interpret and analyze data with the SQL for Data Science certification course. It comes in three packages— Basic, Pro, and Premium only at Rs. 7000, Rs. 10,000, and Rs. 15,000 each for three months to give you two months, four months, and a lifetime’s access. 

Who Should Take the SQL for Data Science Course?

The number of job opportunities arising today for a data scientist is equivalent to the exponential rise of produced data. Students and IT, Software, and Marketing professionals can take part in this offline course. Apart from them, anyone who desires to learn Data Science, be it a fresher or a professional, can go for this course.

Even if you do not have any prior knowledge of SQL, you are eligible for the course provided you have logical and analytical skills. Business consultants and software programmers wanting a transition in their career can also opt for this course. Professionals working on reporting tools, data warehousing, and business intelligence who are keen on pursuing a career in Data Science are eligible for this SQL certification course.

The minimum requirement for this course is basic high school level knowledge of Database Management Systems.

What Will You Learn?

The course will explain the meaning, relationship, and structure of raw data and how to use SQL to shape it for analysis. It includes two real-time projects and will cover topics like SQL Basics, differences between DBMS and RDBMS, Understanding of E-R diagrams, integrating SQL with Python and Excel, Joins, and more.

The topics in this course assist you in exploring and analyzing the data effectively to create queries that are compact and efficient. The hands-on experience will provide an added advantage of being able to practice structured queries. It gives you a chance to manipulate numeric, strings, and date data types with the aid of functions to blend data from multiple sources into fields of the correct format for analysis.

This is a perfect place to find all the various operators like arithmetic, strings, logic, comparison, and aggregates in a single SQL course. The hands-on aspects of the course teach you all the uses of a specific function or constraint, making any difficult query look like a piece of cake.

Skills You Will Gain

• Learn to create simple yet complex queries. 
• Integration of Excel with SQL to deal with real-world entities.
• Combination of Python with SQL to implement real-world problems.
• Move from basic to advanced queries.
• Learn more about null values.
• Learn how to create sub-queries and the important types of joins.

Key Highlights of the Program

• A merit certificate will be provided to the top 5% of the class. A SQL course completion certificate is given to all learners. 
• It is Upskill to work in the corporate world in just three months. After this course, the transition from writing basic queries to effortless complex queries will be seamless. 
• It helps build a professional portfolio and create an E-verified profile to link to LinkedIn.
• The hands-on assignments and real-world cases help you gain an industry-like experience.

Career Opportunities after Taking the Course

There is a rapid growth of data, and dealing with such huge amounts of data poses a problem. SQL is considered one of the most important skills one must have to enter into a career in Data Science. This SQL certification course is one of the best for those who want to specialize in Data Science, Data Analytics, or any related field. If you're skilled in SQL, you can land the following jobs:

• SQL Server Analyst: To create and maintain the database. Experienced professionals develop optimized queries for faster and natural server performance.
• Database Administrators: Update the server functionality by installing, updating, and repairing the database.
• Business Data Analyst: They work with SQL developers within the organization to analyze data and make winning decisions. 
• Database Designer: Digital architects to understand the patterns to access data efficiently and quickly.  
• Data Scientist: Professionals well versed in SQL to store and analyze customer and industry-related data.

FAQs on SQL for Data Science

1. What are the prerequisites for joining this course?

A basic understanding of SQL is necessary.

2. Should all data scientists know SQL?

Yes, SQL is the most essential language for a data scientist. It is SQL that helps in processing, analyzing, and interpreting the data effectively.

3. What will you learn from this course?

• To create simple, plain, and meaningful queries instead of complex ones.
• Difference between DBMS and RDBMS.
• Use of and the difference between various constraints and functions.
• Creation of effective procedures.

4. What is the need for SQL in Data Science?

Data Science is concerned with large amounts of data that must be stored in databases. SQL is required to function efficiently on a database with such large amounts of data. With the use of simple, short queries, SQL is quite successful in producing results.

5. How difficult is it to master SQL?

SQL is a language that is very similar to the English language. A person without any prior knowledge of programming can easily understand and learn SQL.

6. How long is it going to take you to master SQL?

As it is a pretty simple language, you can master it in 2-3 months. But it also depends on the tutor, the way he teaches, and the pace at which the learner can grasp the knowledge.