Next Batch Start's
16 September 2024
Course Duration
45
Days
Learning Type
Live Training Sessions
Learning Type
Live Training Sessions
Course Duration
45
Days
Next Batch Start's
16 September 2024
1-1 Mentorship
90% Step-by-step Practical training
Suitable for all skill-level aspirants
IT Working professionals as Trainers
Get 24/7 chat support for project-related doubts
Flexible class timings with weekday and weekend classes
Complete the course with a Certificate in 45 days at an affordable fee
Python Developer Training
Unlock the full potential of Python programming with QuickLearn's comprehensive e-learning course. From foundational concepts to advanced techniques, our curriculum is designed to equip you with the skills demanded in today's tech industry.
Explore Python basics, intermediate, and advanced topics, including variables, data types, control flow, object-oriented programming, data structures, and algorithms, ensuring a robust understanding of Python's core principles.
We focus on practical learning through hands-on projects that automate tasks, analyze data insights, and build dynamic web applications. Get in-depth knowledge of Python's extensive library ecosystem for web development, data science, and automation, enhancing your proficiency with each module. Navigate real-world scenarios as you integrate APIs, manage databases, and deploy applications effectively.
By the end of the course, you will possess a deep understanding of Python and the practical expertise needed to excel in data analysis, web development, and software engineering roles. Gain a competitive edge with a Python certification from QuickLearn, signaling your readiness to tackle industry challenges head-on. Join us and start your Python journey today with QuickLearn, where learning meets innovation in the digital age.
Skills gained in the Python Certification Course
Basic Programming Skills
Python Basics
Control Structures
Intermediate Python Skills
Libraries and Frameworks
Advanced Python Topics
Working with APIs
Web Development
Problem-solving and Project Development
Technologies Covered
Python
Integrated Development Environment (IDE)
Popular Python Libraries (NumPy, Pandas)
API Handling (Requests library)
File Handling and Exception Management
Software Developers
Professionals looking to enhance their programming skills.
Software Engineers
Engineers aiming to broaden their expertise in software development.
Technical Leads and Architects
Leaders seeking to deepen their understanding of Python for better project management and architecture design.
Programming Enthusiasts
Individuals passionate about learning new programming languages and improving their coding skills.
Big Data Professionals
Experts in big data who want to leverage Python for data analysis and manipulation.
IT Developers
Developers aiming to diversify their skill set with Python.
Career Switchers
Those interested in building a career in Python and transitioning into software development or data science roles.
Basic concepts related to programming and databases are beneficial but not mandatory.
No prior coding experience is required.
Who can apply for the Python Training?
This Python certification course is designed for a diverse group of individuals, including:
1
Introduction to Python
Overview of programming concepts
Installing Python and an IDE
2
Python Basics to Advance
Variables, data types, and basic arithmetic
Lists, indexing, and list operations
Conditional statements and logical operators
Loops and range functions
3
Functions
Defining and calling functions
Function parameters and return values
Scope and lifetime of variables
4
Strings and String Manipulation
String operations and methods
String formatting
5
Dictionaries and Sets
Dictionary methods and operations
Introduction to sets
6
File Handling
Reading from and writing to files
Handling exceptions
7
Introduction to Libraries
Popular Python libraries (NumPy, Pandas)
Basic operations with NumPy arrays
8
Object-Oriented Programming (OOP)
Classes and objects
Inheritance, polymorphism, encapsulation, and abstraction
DevOps Engineer
Manage and streamline development and operations processes.
Python for automation, handling files and exceptions.
Machine Learning Engineer
Design and implement machine learning models
Introduction to machine learning and relevant Python libraries
Automation Engineer
Create automated systems to improve efficiency.
Scripting and automation with Python.
Big Data Engineer
Handle extensive volumes of data and provide efficient processing
Big data concepts, using Python for data processing
Script
Solve
Scale
Scale Success in Python with Creativity