SQL Fundamentals with Python

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Course

SQL Fundamentals with Python

Learn the power behind data manipulation for data sets stored in relational databases using SQL or structured query language – a fundamental skill for anyone in the data sciences.

Self-Paced

Mentored

Intermediate

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Duration

20 hours
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From

$599

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This course is part of a program:

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The importance of data organization and manipulation in data science and related fields cannot be overstated. Learn the power behind data manipulation for data sets stored in relational databases using SQL or structured query language.

Anyone working in data science requires SQL skills. This fundamental skill allows you to find and extract the data you need in your analyses. This course introduces you to relational database concepts and how to query these databases using SQL so you can obtain the data you need. The course also teaches you how to use SQL in a data science environment.

The many labs and projects in this course emphasize a hands-on approach so you finish the course with practical, applicable skills. After taking this course you can showcase your new SQL skills with the tangible assets from these labs and project to showcase potential employers.

This course comprises five purposely designed modules that take you on a carefully defined learning journey.

It is a self-paced course, which means it is not run to a fixed schedule with regard to completing modules. It is anticipated that you will complete the course in 20 hours. However, as long as the course is completed by the end of your enrollment, you can work at your own pace. And dont worry, youre not alone! You will be encouraged to stay connected with your learning community through the course discussion space.

The materials for each module are accessible from the start of the course and will remain available for the duration of your enrollment. Methods of learning and assessment will include discussion space, videos, reading material, quizzes, hands-on labs, quizzes and final assignment.

Once you have successfully completed the course, you will earn your IBM Certificate.

You will be able to:

  • Execute basic SQL queries using SELECT, INSERT, UPDATE, and DELETE
  • Use string patterns and ranges to query and filter data.
  • Sort and group data in result sets.
  • Query multiple tables and compose nested SELECT statements and sub-queries.
  • Analyze data in a database using Python and Jupyter Notebooks.

  • Beginners in programming
  • Aspiring data analysts & data scientists

  • No prior knowledge of databases, SQL, Python, or programming is required.
  • Suitable for anyone who wants to gain key skills in data science/analytics.

Course Outline

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Hands-on labs and projects tackling real-world challenges. Great for your resumé and LinkedIn profile.

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FAQs

You will learn to execute SQL queries to extract, manipulate, and analyze data stored in relational databases. The course covers SELECT, INSERT, UPDATE, DELETE queries, string patterns, sorting, grouping, and querying multiple tables. Youll also use Python and Jupyter Notebooks to integrate SQL with data analysis workflows.

No prior experience is required. This course is designed for beginners who want to gain practical skills in SQL with Python for data analysis.

Youll learn the fundamentals of relational databases, including creating and modifying tables, understanding relationships, and querying structured data effectively.

Yes, the course provides hands-on practice with all these essential SQL commands to manipulate and manage database records.

Absolutely. The course covers joining tables, composing nested SELECT statements, and creating sub-queries to handle complex data retrieval tasks.

You will use Python and Jupyter Notebooks to connect to databases, execute queries, and analyze data, bridging SQL with practical Python-based data analysis workflows.

Yes, the course is highly hands-on, with labs and a final assignment designed to give you real-world experience in SQL and Python data analysis.

Youll work with real-world datasets stored in relational databases, helping you practice querying, cleaning, and analyzing data effectively.

Yes, the course emphasizes practical skills in filtering, sorting, and grouping data to make your analysis accurate and meaningful.

The course is structured over 5 weeks, with each week focusing on specific topics from SQL basics to Python integration and a final hands-on assignment.

Yes, it is ideal for anyone aiming for a career in data analytics, data science, or business intelligence who wants to learn SQL with Python.

Yes, the practical projects and labs provide you with tangible skills and portfolio assets you can showcase to employers.

Yes, you will learn to filter and query data using string patterns, ranges, and other techniques to refine your data analysis.

Yes, upon successful completion, you will receive an industry-recognized IBM Certificate that validates your skills in SQL with Python.

This course combines SQL fundamentals with Python integration, hands-on labs, real-world datasets, and a final project, making it highly practical and career-oriented compared to other beginner SQL courses.

Yes. After completing these SQL and Python certifications online, you can pursue recognized certifications to validate your skills. For Python, consider PCEP or PCAP from the Python Institute, or Microsofts Python Development Professional Certificate. For SQL, popular options include the Microsoft SQL Server Professional Certificate, Azure Database Administrator (DP-300), or Oracle Database SQL Certified Associate. Choose based on your career goalanalytics, development, or database administration.

Learn SQL Fundamentals with Python Course Get Certified

Course Offering

certificate

Type of certificate

IBM Certificate

course

About this course

05 Modules

05 Skills

includes

Includes

Discussion space

20 Hands-on labs 

05 Practice quizzes

05 Graded quizzes

01 Final exam

01 Final project

create

Create

Tables

Built-in Functions

Inserting and Querying Data

exercises

Exercises to explore

Getting Started with SQL

Relational Databases and Tables

IBM Db2

Accessing Databases with SQL Magic

Analyzing data

This course has been created by

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Rav Ahuja

Global Program Director

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Abhishek Gagneja

Freelance Subject Matter Expert

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