infyni

Live Advance Python with SQL Training

With our intensive 10-hour live online training in SQL with API you can pitch confidently for a job as SQL Developer, Software Engineer, Data Scientist, or Database Administrator. A skill that is absolutely necessary for any type of data handling.

Live Course

Live Class: Tuesday, 26 Mar

Duration: 10 Hours

Enrolled: 1

Offered by: infyni

Live Course
$500 60% off

$200

About Course

Is there any wonder SQL is one of the most popular programming languages? It is used by 50% of all developers. Experts say 90% of the data was created in the last couple of years. Which means companies are heavily investing in data and people who know how to handle data are being sought after. 

Infyni's Live Advance Python with SQL Training is an online intensive program that teaches a vital skill needed in the current job market. SQL is used in many technologies, like databases, smartphones, and music apps. 

Knowledge of SQL makes learning other programming languages like C++, JavaScript, and Java more easy. Here are some practical examples of the range of jobs one can apply to after a course like Infyni's Live Advance Python with SQL Training

Database Administrator: Manage and maintain databases using SQL for various applications and systems. API integration skills might be required to connect databases with other software systems.

Backend Developer: Develop and maintain server-side applications, utilizing SQL for database management and APIs for integrating with external services or systems.

Data Analyst: Analyze large datasets using SQL queries to extract meaningful insights. API skills can be valuable for accessing external data sources or integrating with other analytics tools.

Software Engineer: Develop software applications that interact with databases using SQL and integrate with external services or platforms via APIs.

Systems Integrator: Integrate disparate systems within an organization by leveraging SQL for data management and APIs for connecting different software solutions.

Business Intelligence Developer: Design and develop BI solutions using SQL for data manipulation and APIs for accessing and integrating data from various sources.

Web Developer: Build dynamic web applications that interact with databases using SQL and utilize APIs for integrating with third-party services or platforms.

E-commerce Specialist: Manage e-commerce platforms, utilizing SQL for database management and APIs for integrating with payment gateways, shipping providers, and other e-commerce services.

Data Engineer: Design, build, and maintain data pipelines using SQL for data processing and APIs for connecting to external data sources or cloud services.

IT Consultant: Provide consultancy services to businesses on database management, system integration, and data analysis, leveraging SQL and API integration skills to address their specific needs.

Classes are held 4 times / week for an hour each. To join us for a free live trial with our expert instructors give us a call at +1-813-944-3309 or drop us a mail at contact@infyni.com

Skills You Will Gain

Advanced Python programming Python libraries and frameworks File handling and data processing Exception handling and debugging SQL fundamentals Database design and normalization SQL querying Database management systems (DBMS) Data analysis and reporting

Course Offerings

  • Instructor-led interactive classes
  • Clarify your doubts during class
  • Access recordings of the class
  • Attend on mobile or tablet
  • Live projects to practice
  • Case studies to learn from
  • Lifetime mentorship support
  • Industry specific curriculum
  • Certificate of completion
  • Employability opportunity
  • Topics
  • Instructor (1)
  • Advanced Data Structures
  • Sets
  •  Tuples
  • Dictionaries
  • List Comprehensions and Generator Expressions
  •  Decorators and Context Managers
  •  Advanced Object-Oriented Programming (OOP)
  • Inheritance
  •  Polymorphism
  •  Encapsulation
  •  Introduction to Metaprogramming
  •  Exception Handling and Error Management
  • Advanced SQL Queries
  • Joins
  • Subqueries
  • Common Table Expressions (CTEs)
  • Indexing and Optimization Techniques
  • Transactions and Locking
  • Introduction to Relational Database Management Systems (RDBMS)
  • Database Administration Basics
  • Integration of Python with SQL Databases using libraries like SQLAlchemy
  • Understanding RESTful APIs and HTTP Methods
  • Consuming APIs with Python: Requests Library
  • Handling Authentication and Authorization
  • Parsing and Processing JSON and XML Responses
  • Working with Webhooks and Callbacks
  • API Best Practices and Rate Limiting Strategies