SQL for Data Science Skills you will learn

  • SQL Basics
  • Data Aggregation and Grouping
  • SQL Tables
  • SubQueries and CTEs
  • Window Functions
  • Advanced SQL Techniques

Who should learn this SQL for Data Science Free Course?

  • Data Analyst
  • Data Scientist
  • BI Analyst
  • Data Engineer
  • Data Architect

What you will learn in this Free SQL for Data Science Course?

  • SQL for Data Science

    • Introduction

      01:36
      • Introduction
        01:36

    • Lesson 1: SQL Fundamentals

      21:36
      • SQL Fundamentals
        21:36

    • Lesson 2: Data Aggregation and Grouping

      11:56
      • Data Aggregation and Grouping
        11:56

    • Lesson 3: SQL Tables for Data Integration

      10:12
      • SQL Tables for Data Integration
        10:12

    • Lesson 4: Subqueries and Common Table Expressions (CTEs)

      04:06
      • Subqueries and Common Table Expressions (CTEs)
        04:06

    • Lesson 5: Window Functions

      05:40
      • Window Functions
        05:40

    • Lesson 6: Data Manipulation and Transformation

      04:26
      • Data Manipulation and Transformation
        04:26

    • Lesson 7: Advanced SQL Techniques

      05:53
      • Advanced SQL Techniques
        05:53

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Why you should learn SQL for Data Science?

$302.01 Billion

Expected size of the global Data Analytics market by 2030.

$84K+ (USA) | INR 6.7 LPA

Average Salary of a Data Analyst annually.

About the Course

The SQL for Data Science course teaches the essential SQL skills for data analysis. Starting with SQL Basics, you'll learn to retrieve and filter data using basic SQL commands. You'll dive into SQL Tables, learning to create, modify, and manage tables, including setting up relationships with keys. The course continues with Subqueries and CTEs,Window Functions, Advanced SQL Techniques and query optimization, equipping you with the tools to handle large datasets efficiently. By the end of this course, you'll be able to apply SQL techniques to real-world data science tasks, making t

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FAQs

  • What is the SQL for Data Science course about?

    This course teaches SQL as a fundamental tool for data science, focusing on querying databases, filtering data, aggregating information, and analyzing data effectively for decision-making.

  • Who is this SQL for Data Science course suitable for?

    This course is ideal for those aiming to move into data science, professionals seeking to enhance their data analysis skills, or anyone eager to learn SQL for effective data handling and analysis.

  • Do I need prior experience in SQL to take this SQL for Data Science course?

    No, the course is suitable for beginners. It starts with the basics and gradually builds up to more advanced SQL queries and functions.

  • How long does it take to complete this SQL for Data Science course?

    This SQL for Data Science course is 1 hour long.

  • What topics are covered in this SQL for Data Science course?

    The course covers SQL syntax, SELECT statements, filtering and sorting, JOINs, aggregating data, subqueries, and more advanced topics like window functions and data manipulation.

  • How long can I access the course material after completion?

    You will have an access of 90 days  to the course materials, including videos, notes, and quizzes, allowing you to review the content at your own pace.

  • Will I get a certificate upon completing this SQL for Data Science course?

    Yes, you’ll receive a certificate once you successfully complete the course.

  • Is there any hands-on practice included?

    Absolutely! This SQL for Data Science course includes practical exercises and projects where you will apply SQL to real-world datasets and practice writing queries.

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  • Acknowledgement
  • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, OPM3 and the PMI ATP seal are the registered marks of the Project Management Institute, Inc.