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SQL for Data Analytics Course

SQL for Data Analytics

Leverage data for business insights with SQL for Data Analytics Training

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SQL for Data Analytics

Prerequisites for SQL for Data Analytics Course

Prerequisites and Eligibility
Prerequisites and Eligibility
  • 450K+
    Career Transformations
  • 250+
    Workshops Every Month
  • 100+
    Countries

SQL for Data Analytics Course Highlights

Use Advanced Data Analytics with SQL

24 Hours of Live, Interactive, Trainer-Led Sessions

55 Quizzes and 184 Questions to Practice

9+ Hours of Hands-on Training with SQL

37 Guided Exercises to Learn Data Analytics

Projects that Replicate Work-like Environments

Curriculum Updated by Industry Experts

Data has become a crucial resource in most businesses today. Any business that needs to maintain a competitive edge must find a way to use data and make data-driven decisions that are timely and accurate. Advance your career in data analytics by equipping yourself with expertise in SQL and learning the different SQL features that are used in data analytics.

There is a significant demand for data analysts skilled in SQL in leading organizations. Learning how to use SQL for data analytics is a skill that will allow you to access lucrative job opportunities or advance in your career as a data analyst. SQL for Data Analytics Course online includes projects and exercises that ensure that you will have job-ready skills when you complete your training.

Why KnowledgeHut for SQL for Data Analytics

The KnowledgeHut Advantage

Instructor-Led Online Classroom

Our instructors are industry experts and deliver hands-on learning. Make the best of the learning from experts across domains.

Curriculum Designed by Experts

Our courseware is always current and updated with the latest tech advancements. Stay globally relevant and empower yourself with the training.

Learn Through Doing

Learn theory backed by practical case studies, exercises and coding practice. Get skills and knowledge that can be effectively applied.

Mentored by Industry Leader

Learn from the best in the field. Our mentors are all experienced professionals in the fields they teach.

Advance From The Basics

Learn concepts from scratch, and advance your learning through step-by-step guidance on tools and techniques.

Code Reviews by Professionals

Get reviews and feedback on your final projects from professional developers.

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Smooth Training with Great Support

I am impressed with the overall training delivery experience from KnowledgeHut UpGrad. I received instructions/reminders/post-session correspondences well before time, beyond my expectations. Pricing is fair and further referral bonus too one can have for another course.

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This is my second time with upGradKnowledgeHut and its been a good experience. From the registration process to the after-training support material available on the portal for reference adds much value to show the support and commitment they drive towards their students

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Awesome Training with Engaging Trainer

I had attended the training and it was very good. Trainer is well experienced and he knows how to engage the teams and I loved the course details

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Completed my training and certification through Knowledge Hut last week. It was a great experience. The Trainer was knowledgeable and able to resolve all my queries. The entire training was interactive. I enjoyed the entire session.

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SQL for Data Analytics Course Syllabus

Curriculum

1. Introduction to Relational Databases

Topics:

  • Course introduction
  • What is a relational database?
  • The relational database model
  • Tables, data types, and constraints
  • What is SQL?
  • Schemas
  • Database objects
  • Introduction to MySQL Workbench

2. Introduction to SQL Operations, Clauses, and Functions

Topics:

  • Overview of the employees data model
  • SQL commands
  • SELECT statement
  • SQL operations and clause
  • Filtering records using the WHERE clause
  • Introduction to SQL functions

3. What is SQL and Why is it Important?

Topics:

  • Introduction to data analysis using SQL
  • Introduction to understanding SQL and its importance
  • What and why of SQL
  • What is a Query?
  • Use of SQL in the Industry
  • Introduction to MySQL

4. SQL Database Admin Commands

Topics:

  • Introduction to SQL database admin
  • Introduction and tour of MySQL Workbench
  • SQL syntax -best practices
  • Create a database in MySQL
  • Create a table in a database
  • SHOW and DROP command in SQL
  • INSERT INTO command in SQL

5. The Basics of SQL

Topics:

  • Introduction to the basics of SQL
  • Getting the dataset
  • Table data import wizard
  • SELECT * FROM statement in SQL
  • LIMIT statement in SQL
  • Aliases in SQL

6. Filtering Data Using WHERE Clause in SQL

Topics:

  • Introduction to filtering data using WHERE clause in SQL
  • ORDER BY in SQL
  • WHERE clause in SQL
  • AND, OR, and NOT operators in SQL
  • IN operator in SQL
  • LIKE operator in SQL

7. Aggregation and Summary Functions in SQL

Topics:

  • Introduction to aggregation and summary functions in SQL
  • COUNT function in SQL
  • MIN and MAX functions in SQL
  • SUM function in SQL
  • AVG function in SQL
  • GROUP BY function in SQL

8. Miscellaneous Analysis in SQL

Topics:

  • Introduction to miscellaneous analysis in SQL
  • CAST function in SQL
  • Date and time datatypes
  • CONCAT function in SQL
  • Histogram in SQL
  • REPLACE function in SQL

9. Table to Table Relationship in SQL

Topics:

  • Introduction to table-to-table relationship in SQL
  • Relationships in SQL
  • Keys in SQL
  • Entity Relationship Diagram (ERD)

10. Combining Tables

Topics:

  • Introduction to combining tables
  • JOIN clause in SQL
  • UNION clause in SQL

What You'll Learn in the SQL for Data Analytics Course

Learning Objectives
Relational Databases

Understand what a relational database is and how data is organized in a relational database

Benefits

Learn how a relational database can allow for efficient data storage and retrieval

Data Types

Understand the main objects that a relational database can store and its uses

Schemas

Learn how schemas or collections of database objects provide structure to the database

MySQL

Understand the database management system that interacts with the MySQL database

Problem Solving

Solve complex business problems using SQL tools to combine, compare, and extract data

Who can attend the SQL for Data Analytics Course

Who This Course Is For?
  • Data Scientists
  • Software Engineers
  • Data Analysts
  • Database Administrators
  • Aspiring Data Professionals
  • Professionals Interested in Data Analytics
Who Should Attend

SQL for Data Analytics Courses FAQs

Frequently Asked Questions
SQL for Data Analytics Training

1. Why is this course relevant?

This training is designed to help you to understand SQL and how to use it for data analytics. SQL for data analytics course duration consists of 24 hours of instructor led training. You will start by learning the basics of SQL and how to perform data analytics while dealing with a relational database. You will also learn how to combine data from different relational databases.

In this course you will also learn advanced data analytics you could perform using SQL.

2. What practical skill sets can I expect to have upon completion of the course?

SQL for data analytics course syllabus covers many SQL skills for data analytics including learning how to:

  • Use MySQL Workbench
  • Run SQL queries
  • Run SQL commands
  • Filter data in SQL
  • Combine data from multiple tables
  • Analyze big data sets

3. What can I expect to accomplish by the end of this course?

By the end of this course, you would have gained knowledge of how to work with SQL for Data Analytics. You will develop skills to work with relational databases and extract meaningful information by analyzing multiple databases. This is a skill that is valuable for any organization as intelligent data analytics helps an organization take better informed decisions.

4. Does this class have any restrictions?

SQL for data analytics course eligibility requires candidates to have a basic understanding of descriptive statistics like average, sum, minimum, maximum etc.

5. Is the course available in the online/virtual format?

Yes, KnowledgeHut offers SQL for data analytics training online.

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