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- Data Science: Introduction
- Data Science Applications
- Why SQL is required for Data Science
- Database Management System (DBMS)
- Relational Database Management System (RDBMS)
- Basic terminology in RDBMS
- Data Constraints
- Entity Relationship Model
- What SQL is
- Categories of SQL Commands
- Hands-on execution of simple SQL statements on RDBMS tool
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- SQL for Data Science
SQL for Data Science
Quick Facts
| particular | details | |||
|---|---|---|---|---|
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Medium of instructions
English
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Mode of learning
Self study, Virtual Classroom
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Mode of Delivery
Video and Text Based
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Course overview
The SQL for Data Science Certification Course is 12 week long specialized course that discusses the advanced concepts of SQL. The course available on the Skill-Lync platform aims to educate learners about the practical and real-world applications of SQL in the data science field.
Through the SQL for Data Science Training Course, learners will cover topics like syntax for SQL commands, integration of SQL with programming languages, and examples of real-life data sets. The course is suitable for anyone interested in the domain of computer science engineering.
After successfully completing the assessment processes of SQL for Data Science Live Course, learners will receive a certificate of completion. The top 5% of learners in a class will get a chance to win a merit certificate. Candidates have the option to opt for a demo session before deciding to enroll in the course.
The highlights
- Merit certificate
- 12 weeks duration
- Course videos
- Expert instructors
- Project portfolio page
- Flexible course fees
- One-one zoom support sessions
- Group zoom support sessions
- Email and telephone support
- Course-specific forum group
- Industry oriented projects
- Case studies
- 1-on-1 demo session
- Course counselling
- Personalized hands-on support from expert engineers
Program offerings
- Merit certificate
- Individual video support
- Group video support
- Email support
- Forum support
- Telephone support
- Professional portfolio
- Technical projects
- 1-on-1 demo session
- Course counselling
- 12 weeks duration
Course and certificate fees
SQL for Data Science Course Fee Structure -
| Course | Amount |
| SQL for Data Science | Rs. 40,000 |
certificate availability
Yes
certificate providing authority
Skill Lync
Who it is for
The SQL for Data Science course can be opted by anyone interested in the field of data science and have a basic knowledge of database management systems.
Eligibility criteria
Candidates are required to possess basic knowledge of database management systems.
What you will learn
Data science knowledge
Sql knowledge
After completing the SQL for Data Science Classes, you will gain knowledge about the following topics:
- Applications of data science
- SQL Commands
- Role of SQL in data science
- Relational Database Management System (RDBMS)
- SQL Datatypes
- String, Date, and Conversion Functions
- SQL for Data Exploration
- Understanding E-R Diagram
- Applications of Case Expression
- Stored Procedures for Data Analysis
- Data Cleaning and Computation
- Integration of SQL with Excel and SQL with Python
- Using SQL for Data Analysis and Data Visualization
The syllabus
Week 1 - Introduction
Week 2 - Database Creation and Manipulation
- Detailed SQL Data types
- Creating database
- Create Table
- Using Constraints
- Insert Table
- Altering Table structure
- Dropping Database and Table
- Delete, Update
- Hands-on importing sample database schema
Week 3 - Database Selection
- Select statements
- Removing Duplicate use of Alias
- Use of Where
- Use of Wildcards
- Limit clause
- Arithmetic Operators
- Mathematical Functions
- Hands-on creating of backups and restore for large database
Week 4 - Database Selection
- Generating Strings
- String Functions
- Date Functions
- Conversion Functions
Week 5 - Database Selection
- Comparison Operators
- Logical Operators
- Order By
- Group By
- Aggregate Functions
- Using aggregate functions with Group by clause
- Union Operator
- Sub-query
Week 6 - Querying Multiple Tables
- The need to Join Multiple Tables
- Cartesian Product
- Inner Join
- Left Join
- Right Join
- Self Join
- Delete Join
- Update Join
- Hands-on demonstration of joining more than two tables in a sample database
Week 7 - Data Exploration
- What Data Exploration is
- Structure of Data
- Understanding the E-R Diagram
- How to Use SQL for Data Exploration
- Significance of
- Joins
- Sub queries
- Inbuilt functions
- Other important capabilities of SQL for data exploration
- Hands on demonstration
- Working with NULL values
- Making trends in Data
- Identifying Outliers
- Creating Data Summary
Week 8 - Index, View, Transaction
- Creating Index
- Use of Index
- Type of Index and Ine
- X Strategies
- Views
- Views for Data Analysis
- Multi-user database
- What is Transaction
- Save points
- Hands-on working on Multi user database environment
Week 9 - Querying with Conditions
- Querying with Conditions
- The Searched Case Expression
- The Simple Case Expression
- Applications of Case Expression
- Common Error Codes
- Hands-on working with Json type data
Week 10 - Stored Procedures
- Stored Procedures for Data Analysis
- Creating Stored Procedures
- Removing Stored Procedures
- Altering Stored Procedures
- Conditional Statements
- Loops
- Hands-on working with cursors
Week 11 - Integrating SQL with Excel
- Accessing MySQL data with MS Excel
- Running SQL statements with Excel
- Combining Excel and SQL statements for data representation
Week 12 - Integrating SQL with Python
- Working with Python
- Accessing SQL data with Python
- Running basic SQL statements with Python
- Running inbuilt python functions on SQL data
Admission details
Follow the steps below to enroll in the SQL for Data Science Live Course:
Step 1: Go to the official website by clicking on the URL given below -
https://skill-lync.com/computer-science-engineering-courses/sql-data-science
Step 2: Click on the "Enroll Now" option provided on the course page.
Step 3: Select a suitable payment package and unlock access by submitting your name, email id and phone number.
How it helps
The SQL for Data Science Certification Benefits are given below:
- The course will help learners understand in detail the advanced concepts of SQL used in the data science field.
- Through the engagement with real-world data sets, learners will be introduced to RDBMS tools used for data management in organizations.
- The course will help learners acquire knowledge and skills for using SQL for data science and data analysis.
FAQs
What software skills are covered in the SQL for Data Science course?
The SQL for Data Science Live course will cover software skills in SQL, Relational Database tool, MySQL Workbench, MS Excel, MySQL for Excel Add-in, Python, and Anaconda.
What type of companies make use of the skills taught in the SQL for Data Science Training course?
The skills gained through the course will help learners find jobs in companies like Amazon, Flipkart, Microsoft, Google, Ola, Zomato, and Paytm that use SQL for storing relational databases.
On which platform is the SQL for Data Science course available?
The SQL for Data Science Online Course is available on the Skill-Lync learning platform.
Will the SQL for Data Science Online Course offer placement support to students?
No, learners do not receive any placement help from the SQL for Data Science course.
Will the SQL for Data Science course help me in higher studies?
Yes, the knowledge acquired through the course will help learners in future studies or research in data science and data analytics.
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