- Course Introduction
- Introduction to Databases
- SELECT Statement
- COUNT, DISTINCT, LIMIT
- INSERT Statement
- UPDATE and DELETE Statements
Databases and SQL for Data Science with Python
Want to learn about Databases, Python, and Structured Query Language? Join Coursera’s Databases and SQL for Data ...Read more
Beginner
Online
6 Weeks
₹ 4115
Quick Facts
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Medium of instructions
English
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Mode of learning
Self study
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Mode of Delivery
Video and Text Based
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Course overview
Databases contain much of the world's data. Structured Query Language or SQL is a robust language used to extract data and communicate with databases. If you are looking to build a career as a data scientist or in a related field, the Databases and SQL for Data Science with Python course is ideal for you. This training will help you understand the SQL language’s foundational and relational database concepts. You will also learn about conducting SQL access in a data science environment.
The Databases and SQL for Data Science with Python certification syllabus concentrates on practical and hands-on learning. You will have the opportunity to work with real-world data sets, real data science tools, and real databases. There will also be periodic practice and graded quizzes for motivation and evaluation.
Databases and SQL for Data Science with Python certification does not need any prior knowledge of Python, databases or SQL to join. You will have flexibility with the course material and audit it for free. Upon completion, you can also receive the shareable certificate if you choose to pay for it.
The highlights
- 100% digital course
- Beginner-level
- Free to audit
- Financial aid available
- Free seven-day trial
- Certification available
- Practice quizzes
- Graded assignments
- No prerequisites
- Flexible deadlines
- Completion time about 20 hours
- Curriculum video subtitles available (in English)
Program offerings
- Practice quizzes
- 100% digital course
- Flexible deadlines
- Financial aid available
- Certification available
- Graded assignments
- Free to audit
- Free seven-day trial
- No prerequisites
- Course completion time about 20 hours.
Course and certificate fees
Fees information
The fees for Databases and Structured Query Language for Data Science with Python is -
Certification | Fee Amount in INR |
Databases and Structured Query Language for Data Science with Python (Audit) | Free |
Databases and Structured Query Language for Data Science with Python - 1 month | Rs. 4,115 /- per month |
Databases and Structured Query Language for Data Science with Python - 3 months | Rs. 2,743 /- per month |
Databases and Structured Query Language for Data Science with Python- 6 months | Rs. 2,058 /- per month |
certificate availability
Yes
certificate providing authority
Coursera
Who it is for
The Databases and SQL for Data Science with Python course is an excellent choice if you seek career prospects as a data scientist or in any related field.
Eligibility criteria
You can join the Databases and SQL for Data Science with Python online training without having any working knowledge of programming, SQL, databases or Python.
Certification qualifying details - To secure the Databases and SQL for Data Science with Python certificate, you need to complete the syllabus and all the assignments.
What you will learn
Upon completing the Databases and SQL for Data Science with Python syllabus, you will be proficient in:
- Working knowledge of SQL and databases
- Python Programming, Cloud Databases, SQL, RDBMS (Relational Database Management System), and Ipython
- Grouping, filtering, and sorting results
- Accessing multiple tables
- Using built-in functions
- How to perform SQL access in a data science environment
- How to access and create a database instance in cloud
- Working with real-world datasets
- Writing basic SQL statements - DROP, CREATE, INSERT, SELECT, DELETE, UPDATE
- Running SQL queries, using databases, data science tools and data sets
- Accessing databases from Jupyter notebooks using Python and SQL
The syllabus
Module 1: Getting Started with SQL
Videos
Readings
- Course Overview
- Summary: Basic SQL
Assignments
- Graded Quiz: Basic SQL
- Practice Quiz: Basic SQL
App Items
- Hands-on Lab: Simple SELECT Statements
- Hands-on Lab: COUNT, DISTINCT, LIMIT
- Hands-on Lab: INSERT, UPDATE, and DELETE
Plugins
- Helpful Tips for Course Completion
- SELECT statement examples
- SQL Cheat Sheet: Basics - SELECT, INSERT, UPDATE, DELETE, COUNT, DISTINCT, LIMIT
Module 2: Introduction to Relational Databases and Tables
Videos
- Relational Database Concepts
- Types of SQL statements (DDL vs. DML)
- CREATE TABLE Statement
- ALTER, DROP, and Truncate tables
- How to create a Database instance on Cloud
Readings
- Summary: Relational Database Concepts and Tables
- [Optional] Hands-on Lab Using IBM Db2
Assignments
- Relational DB Concepts and Tables
- Practice Quiz: Introduction to Relational Databases and Tables
App Items
- Hands-on Lab : CREATE, ALTER, TRUNCATE, DROP
- Hands-on Lab: Create and Load Tables using SQL Scripts
- Obtain IBM Cloud Feature Code and Activate Trial Account
Plugins
- Examples to ALTER and TRUNCATE tables using MySQL
- Examples to CREATE and DROP tables
- SQL Scripts - Uses and Applications
- SQL Cheat Sheet: CREATE TABLE, ALTER, DROP, TRUNCATE
Module 3: Intermediate SQL
Videos
- Using String Patterns and Ranges
- Sorting Result Sets
- Grouping Result Sets
- Built-in Database Functions
- Date and Time Built-in Functions
- Sub-Queries and Nested Selects
- Working with Multiple Tables
Readings
- [Optional] Hands-on Labs Using IBM Db2
- Summary: Refining Your Results
- [Optional] Hands-on Labs Using IBM Db2
- Summary: Functions, Multiple Tables, and Sub-queries
Assignments
- Graded Quiz: Refining Your Results
- Graded Quiz: Functions, Multiple Tables, and Sub-queries
- Practice Quiz: Refining Your Results
- Practice Quiz: Functions, Multiple Tables, and Sub-queries
App Items
- Hands-on Lab: String Patterns, Sorting and Grouping
- Hands-on Lab: Built-in functions
- Hands-on Lab: Sub-queries and Nested Selects
- Hands-on Lab: Working with Multiple Tables
Plugins
- SQL Cheat Sheet: Intermediate - LIKE, ORDER BY, GROUP BY
- SQL Cheat Sheet: FUNCTIONS and Implicit JOIN
Module 4: Accessing Databases using Python
Videos
- How to Access Databases Using Python
- Writing code using DB-API
- Accessing Databases with SQL Magic
- Analyzing data with Python
- Connecting to a database using ibm_db API
- Creating tables, loading data and querying data
Readings
- Summary: Accessing databases using Python
- [Optional] Hands-on Labs Using IBM Db2
App Items
- Hands-on Lab: Creating tables, inserting and querying Data
- Hands-on Tutorial: Accessing Databases with SQL magic
- Hands-on Lab: Analyzing a Real-World Data Set
- (Optional) Db2 Lab: Connecting to a database instance
- (Optional) Db2 Lab: Creating tables, inserting and querying Data
- (Optional) Db2 Lab: Tutorial, Accessing Databases with SQL magic
- (Optional) Db2 Lab: Analyzing a real World Data Set
Plugin
- SQL Cheat Sheet: Accessing Databases using Python
Module 4: Accessing DatabaModule 4: Accessing Databases using Pythonses using Python
Assignments
- Graded Quiz: Accessing databases using Python
- Practice Quiz: Accessing Databases using Python
Module 5: Course Assignment
Videos
- Working with Real World Datasets
- Getting Table and Column Details
Readings
- Summary and Highlights
- [Optional] Hands-on Labs Using IBM Db2
- Congratulations & Next Steps
Assignments
- Graded Quiz on Assignment
- Final Exam
App Items
- Hands-on Lab: Working with a real world data-set
- (Optional)Hands-on Lab: Practice Querying Real World Datasets
- Final Assignment: Database Querying using SQLite
Module 6: Bonus Module: Advanced SQl for data Engineer (Honors)
Videos
- Views
- Stored Procedures
- ACID Transactions
- Join Overview
- Inner Join
- Outer Joins
Readings
- About this Honors Module
- [Optional] Hands-on Labs Using IBM Db2
- Summary: Views, Stored Procedures, and Transactions
- Summary: JOIN Statements
Assignments
- Graded Quiz: Views, Stored Procedures and Transactions
- Graded Quiz: JOIN Statements
- Graded Quiz: Advanced SQL for Data Engineers
- Practice Quiz: Views, Stored Procedures, and Transactions
- Practice Quiz: Join Statements
App Items
- Hands-on Lab: Using Views
- Hands-on Lab: Stored Procedures
- Hands-on Lab: Committing and Rolling Back a Transaction
- Hands-on Lab: Joins
- Hands-on Lab: Final Project: Advanced SQL Techniques
Plugins
- SQL Cheat Sheet: Views, Stored Procedures and Transactions
- SQL Cheat Sheet: JOIN Statements
Admission details
- Go through the webpage of Databases and SQL for Data Science with Python by Coursera via this link: https://www.coursera.org/learn/sql-data-science
- Sign in or create a new account on Coursera.
- Click on ‘Enroll for free’ and confirm the course name you want to join. To sign in, use your Coursera account credentials or your Google/Apple/Facebook ID. To sign up, enter the required information or use your Facebook/Google to register.
- Confirm whether you want to audit the curriculum, try the seven-day free trial, or pay the full course fee.
- You have now joined the training.
Filling the form
To join the Databases and SQL for Data Science with Python certification course, you need to create a Coursera account or sign in with an existing one. To make the account, share your name, email address and create a minimum eight-digit password. Else, you can also use your Facebook or Google account to log in.
Scholarship Details
If you cannot pay the programme fee, you can apply for the Databases and SQL for Data Science with Python training’s financial support. To apply, you must choose the ‘financial aid available’ option. Next, fill in all application form’s details and wait for Coursera representatives to contact you. A typical financial aid application form takes about two weeks to be processed.
How it helps
Databases and SQL for Data Science with Python training offers free auditing of study material and ungraded assignments. It also provides financial aid if you are unable to pay the fee. During this course, you learn about SQL, Databases and Python without any prior knowledge.
Best of all, the Databases and SQL for Data Science with Python course certificate you secure has global recognition. You can add it to your CV or LinkedIn profile and pursue coveted employment opportunities.
Instructors
FAQs
In how long can I finish the Databases and SQL for Data Science with Python programme?
The Databases and SQL for Data Science with Python programme takes about 20 hours to finish.
Do I need any prior knowledge in programming to join this curriculum?
No. You do not need any programming knowledge or experience to enrol in the Databases and SQL for Data Science with Python training.
Can I audit Databases and SQL for Data Science with a Python training course?
Yes. You can audit it for free. However, auditing does not include the certificate.
Does the Databases and SQL for Data Science with Python programme offer a scholarship?
Yes. You can apply for financial support for the Databases and SQL for Data Science with Python certification course.
Does the course have practice exercises?
Yes, there will be periodic practice exercises in this training.
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