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⇱ Advanced Python Course with Certification [Updated 2024]


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Advanced Python Course with Certification

Python Deep Dive

Master Python and boost your career with our advanced training

  • 32 hours of Instructor-led Training
  • Comprehensive Hands-on Coverage from Basics to Advanced Python
  • Master Data Visualization with Python

Prerequisites for Advanced Python Programming Certification

Prerequisites and Eligibility
  • There are no prerequisites. Python programmers who want to learn the more advanced features of Python will find this course useful.
  • 450K+
    Professionals Trained
  • 250+
    Workshops Every Month
  • 100+
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Advanced Python Programming Certification Training

Master the Art of Writing Powerful Python Code

32+ Hours of Instructor-Led Online Training

60+ Hours of MCQs and Assignments

28+ Hours of Hands-On Practice Sessions

Create a Portfolio with 3 Real-World Capstone Projects

Learn Best Practices and Refine Code with Expert Feedback

Learn Real-World application Through 3 Case Studies

Python has emerged as the most favored open-source language for Data Analytics. It is viewed as the next big thing and is natural for professionals in the data analytics domain to know. Python reduces development time by nearly half with its easy-to-read syntax and simple compilation function. Debugging a program is a straightforward task in Python with its built-in debugger. Python increases productivity and improves results. For a long time now, the use of Python was restricted to scientific computing and highly quantitative domains such as finance, physics, oil and gas, and signal processing, but it is now finding increasing acceptance across all domains and especially in Data Science.

KnowledgeHut’s Advanced Python course features are intended to introduce you to the concepts of Python programming including the installation, data structures, conditional statements, object-oriented programming, and using Python to visualize data. You will master the art of writing beautiful and powerful Python code by using all the features that Python offers and become familiar with the most important and advanced parts of the Python code style. Along the way, you can learn the trickier aspects of Python and put it in a structured context for a deeper understanding of the language. This course offers an experts eye overview of how these advanced tasks fit together in Python as a whole along with practical examples.

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Python is the fastest growing programming language. It is relatively easy to use and for many programmers it is their first language. There is a vibrant community of Python developers around the world who keep adding more functionality and make more things possible to be done with Python. There is a huge demand for Python programmers across industries.

The Python Certification course provided by KnowledgeHut is an instructor-led, 24 hours live session with 7- hours of MCQs and assignments. It also includes 22 hours of hands-on practical sessions with Python along with three use cases. The Python programming language certification training will introduce you to the world of Python and enable you to learn Python from scratch. It will expose you to its architecture, design philosophy, basics of scripts, applications, and packages through hands-on practical sessions to help you advance in a programming career.

WHY KNOWLEDGEHUT for Python Certification Course

The KnowledgeHut Advantage

Instructor-led Training

Master programming concepts with hands-on experts-led instructions and real-world application.

Curriculum Designed By Experts

Gain advanced knowledge and skills from expert-designed courseware based on real-world experience.

Hands-on Coding

Learn theory through case studies and exercises; apply skills in the real world.

Expert Mentorship

Learn from the best in the field. Our mentors are all experienced professionals in the fields they teach.

Advance From The Basics

Learn from scratch with step-by-step guidance on tools and techniques.

Code Reviews By Professionals

Receive feedback on your projects from experienced professional developers.
Ready to level up your career as a Python Developer?

Advanced Python Programming Course Curriculum

Curriculum

1. Basics of Python

Learning Objective:

Learn how to install Python distribution - Anaconda. Also learn basic data types, strings & regular expressions.

  • Install Anaconda
  • Data Types & Variables

Hands-on:

Install Anaconda

  • String & Regular Expressions

2. Built-in Data Structures

Learning Objective:

Learn about various data structures that are used in Python.

  • Arrays
  • Lists
  • Tuples
  • Dictionaries
  • Sets

Hands-on:

Write Python Code to understand and implement Python Data Structures.

3. Statements and Syntax

Learning Objective:

Learn all about loops and control statements in Python.

  • For Loop
  • While Loop
  • Break Statement
  • Next Statements
  • Repeat Statement
  • if, if…else Statements
  • Switch Statement

Hands-on:

Write Python Code to implement loop and control structures

4. Functions Definitions

Learning Objective:

Write user-defined functions in Python. Learn about Lambda function.

  • Writing your own functions (UDF)
  • Calling Python Functions
  • Functions with Arguments
  • Calling Python Functions by passing Arguments
  • Lambda Functions

Hands-on:

Write Python Code to create your own custom functions without or with arguments. Know how to call them by passing arguments wherever required.

5. User Inputs and Outputs

Learning Objective:

Learn to use User inputs in Python. Use CMD or terminal to create command line applications.

  • Using input() and getpass() for user input
  • Debugging with "format".format_map(vars())
  • Using argparse to get command-line input
  • Using cmd for creating command-line applications
  • Using the OS environment settings

Hands-on:

Write Python Code to use User Inputs to make it more flexible.

6. Modules and Packages

Learning Objective:

Explore the two mechanisms that facilitate modular programming, Python modules and Python packages.

  • Initialization code
  • Namespaces
  • Executing modules as scripts
  • Documentation
  • Packages and name resolution
  • Naming conventions
  • Using imports

Hands-on:

Write Python Code to define a module and implement module search path.

7. Meta Programming

Learning Objective:

Learn about metaclasses and the use of decorators.

Topics Covered:

  • Implicit properties
  • globals() and locals()
  • Attributes
  • The inspect module
  • Decorators
  • Monkey Patching

Hands-on:

Write a Python code to use decorators in order to transform the execution of a function.

8. Object Oriented Programming Concepts

Learning Objective:

Learn the concept of OOPs in Python which focuses on creating reusable code. This concept is also known as DRY (Don't Repeat Yourself).

  • Methods
  • Inheritance
  • Encapsulation
  • Polymorphism

Hands-on:

Write Python code to construct a class and define objects.

9. Basics of Classes and Objects

Learning Objective:

Learn the object-oriented way of writing classes & objects.

  • Using a class to encapsulate data and processing
  • Designing classes with lots of processing
  • Designing classes with little unique processing
  • Optimizing small objects with __slots__
  • Extending a collection – a list that does statistics
  • Using properties for lazy attributes
  • Using settable properties to update eager
  • attributes

Hands-on:

Write Python Code to design classes and objects.

10. Input/Output, Physical Format, and Logical Layout

Learning Objective:

Learn to read various file formats in Python.

  • Using pathlib to work with filenames
  • Reading and writing files with context managers
  • Replacing a file while preserving the previous version
  • Reading delimited files with the CSV module
  • Reading complex formats using regular expressions
  • Reading JSON documents
  • Reading XML documents
  • Reading HTML documents
  • Upgrading CSV from DictReader to namedtuple reader
  • Upgrading CSV from DictReader to namespace reader
  • Using multiple contexts for reading and writing files

Hands-on:

Write Python Code to write JSON documents, HTML documents.

11. Advanced Class Design

Learning Objective:

Learn to choose between inheritance and extension. Also, learn to deal with ordered collections.

Topics Covered:

  • Choosing between inheritance and extension
  • Separating concerns via multiple inheritance
  • Leveraging Python’s duck typing
  • Managing global and singleton objects
  • Using more complex structures – maps of lists
  • Creating a class that has orderable objects
  • Defining an ordered collection
  • Deleting from a list of mappings

Hands-on:

Write Python Code to manage singleton and global objects. Define an ordered collection.

12. GUI Programming

Learning Objective:

Learn to use graphical user interface programming and implement graphical icons and visual indicators. Create eye catching GUI with Python.

  • Overview
  • The mainwindow object
  • Widgets
  • Colors and fonts
  • GUI layout
  • Event handling

Hands-on:

Write Python code to use colors/fonts and create a GUI layout.

13. Basic Data Visualization

Learning Objective:

Learn basic data visualization techniques to build charts using Python.

  • Basic Data Visualization with standard libraries

Hands-on:

Write Python code to perform basic visualization of the data.

14. Case Study

Learning Objective:

Case Study to explore Python Programming.

Topics Covered:

  • Case Study: Python Programming

Hands-on:

Real-life Case Study that explores Python.

What You'll Learn in Advanced Python Course

Learning Objectives
Basics of Python

Learn to install Anaconda - Python distribution.

Explore Python language fundamentals

Learn basic syntax, variables, and types.

Data Structures

Learn about the various data structures that Python can handle, such as regular Python lists, tuple.

Conditional Statements

Learn about control and loop statements.

Object Oriented Programming

Learn to write user-defined functions and object-oriented ways of writing classes and objects.

Improve your coding ability

Use functions and import packages. Improve your code readability through functions in Python.

Analyzing Data

Manipulate and analyze datasets in Python and perform interesting calculations.

Logical layout,physical format

Learn to write Python Code to write JSON documents, HTML documents.

Basic Data Visualization

Use various Python libraries to visualize data. Create and customize plots.

Is the Advanced Python Course for You?

Who This Course Is For
  • Aspirants of Python
  • Web Developers
  • IT Professionals
  • Data Scientists
  • Programmers
  • Software Engineers
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Advanced Python Course FAQs

Frequently Asked Questions
Advanced Python Course

1. Why is this Advanced Python course relevant?

Python is an object-oriented, interactive programming language which is supple and allows the lucid expression of concepts in fewer lines of code than in other languages. It is widely deployed for processing text, numbers, images or scientific data, and finds popular application in many development environments. Our course will hand hold you through the various fundamentals of Python going from basic to advanced and helping you master the language in a short time. Our experienced instructors will help you understand the fundamentals and give you hands-on training in handling and delivering Python packages. You can get up to speed with the latest best practices in coding with this Multi-paradigm programming language that is actively used both in industry and academic circles. Python is among the most in-demand programming languages and Python developers can earn up to $116, 379 annually. This is the best time to learn this language.

2. What practical skill sets can I expect to have upon completion of the Advanced Python course?

You will learn:

  • To use Python and its environment
  • To use Python functions to manipulate data
  • To analyze, manipulate and visualize data with Python

3. What can I expect to accomplish by the end of this Advanced Python course?

By the end of this course, you would have gained knowledge on the use of Python language to build applications.

4. What are the Tools and Technology used for Python Deep Dive course?

Tools and Technologies used for this course is Python

5. What topics are covered in the Advanced Python Course?

upGrad KnowledgeHut’s online advanced Python course covers all the necessary topics that you will need to become a master in Python programming. Here are some of the skills that you will master in our advanced Python training:

  • Learn to install Anaconda - Python distribution. 
  • Learn basic syntax, variables, and types. 
  • Learn about the various data structures that Python can handle, such as regular Python lists, tuple. 
  • Learn about control and loops statements. 
  • Learn to write user defined functions and object-oriented way of writing classes and objects. 
  • Use functions and import packages. Improve your code readability through functions in Python 
  • Manipulate and analyze dataset in Python and perform interesting calculations 
  • Learn to write Python Code to write JSON documents, HTML documents. 
  • Use various Python libraries to visualize data. Create and customize plots 

Please be sure to check our complete curriculum for a more detailed list of topics

6. How long does the course typically take to complete?

KnowledgeHut’s advanced Python programming course includes 32 hours of live sessions and various hands-on exercises. The exact duration of the course will depend on various factors such as the batch you opt for, your existing experience in Python programming among other things. Reach out to our learning advisor for more details.

7. Is the course self-paced or instructor-led?

upGrad KnowledgeHut’s advanced Python course is online instructor-led. You will be thoroughly walked through each topic by our top instructors who have been at the forefront of innovation in Python programming. Learn from the best through interactive live sessions and take your Python programming skills to the next level.  

We also provide a self-paced fundamental Python programming course if you are looking to get started in Python programming at your own pace.

8. What certification will I receive upon completing the Advanced Python Course?

Upon completion of the advanced Python course, you will receive a certificate of completion from upGrad KnowledgeHut. You can use this certificate to showcase to potential employers your prowess in Python development. KnowledgeHut’s certificate of completion holds lifetime validity and is recognized worldwide.

9. Does this Advanced Python class have any restrictions?

There are no restrictions but participants would benefit if they have elementary programming knowledge.

10. Is the Advanced Python course available in the online/virtual format?

Yes, upGrad KnowledgeHut offers this training online.

11. Who issues the course completion certificate?

On successful completion of the course you will receive a course completion certificate issued by upGrad KnowledgeHut.

12. Who are the instructors for Advanced Python training?

Your instructors are Python experts who have years of industry experience.

13. Is the certification recognized in the industry?

Yes, KnowledgeHut’s advanced Python programming course certificate is recognized in the industry as one of the top credentials for Python developers. If you’re looking to learn advanced Python programming, look no further than our advanced Python course.

14. Are there any prerequisites for obtaining the certification?

KnowledgeHut’s advanced Python programming course does not require that learners meet any eligibility criteria. Any Python developer who wants to further develop their programming skills can enroll. You will be thoroughly walked through each topic by our expert instructors.

15. Will the certification help me advance in my career as a Python developer?

It most definitely will. Python is the most common programming language used by many of the top companies like Google, Microsoft, CISCO and many more. And they are always on the lookout for professionals who have successfully completed an advanced Python certification to join the ranks of their development team. So, enrolling for our advanced Python course will get you one step closer to landing your dream job at a top tech company.

16. Can I access course materials after completing the course?

Yes, upGrad KnowledgeHut’s advanced online Python course comes with lifetime access to the courseware. You will retain access to recordings of the live sessions as well as all the self-paced content. The curriculum is also updated regularly, meaning that you will be up to date on Python concepts and best practices.

17. Are there any hands-on projects included in the course?

Yes, our Python advanced certification comes jam packed with 28 hours of hands-on exercises and projects. This ensures that you will not only master concepts in theory but also learn to apply them in real-world programming scenarios.

18. Are there live training sessions included in the course?

Yes, our advanced Python programming course includes 32 hours of live instructor-led training to ensure that you learn from the best and get a chance to clear any doubts that you will have by engaging in discussions with industry experts. You will also be provided with access to the recordings of the live sessions so that you can revise any topic at any time.

19. Is there additional support available during the training?

At upGrad KnowledgeHut, we believe in providing a seamless learning experience. And so, you will have a learning advisor available to you every step of the way to remove any hurdles that you may be facing in your journey to learn advanced Python programming.

20. Are there practice exercises or quizzes to reinforce learning?

Yes, throughout our advanced Python course, you will be assessed on your progress through auto-graded assessments, hands-on exercises and recall quizzes. This ensures that you not only grasp the theoretical part of advanced Python programming but also learn to apply said theory in real-world programming.

Advanced Python Career Benefits

1. How will completing this course impact my career as a Python developer?

Completing our advanced Python course will open a plethora of career opportunities for you. After mastering all the topics, you will be eligible for senior Python developer roles due to the certificate of completion from upGrad KnowledgeHut which is recognized throughout the industry.

2. What job roles can I qualify for after completing the Advanced Python Course?

After successfully completing our advanced Python programming course, you will be eligible for senior Python Developer roles and team lead roles. You can use our advanced Python certification to showcase to your employers that you are proficient in advanced Python programming concepts and best practices.

3. How does completing the Advanced Python Course impact my salary potential?

Professionals who have completed an advanced Python certification are more likely to be considered for a leadership or higher position than their uncertified counterpart. The average salary of a senior Python developer is $136K.

4. What factors influence salary growth for Python developers?

There are various factors that influence the salary of a Python developer. Here are a few of them: 

  • Experience: The more experience you have, the more valuable you are. Entry-level developers earn less than mid-level and senior developers. 
  • Location, Location, Location: Salaries are higher in major cities with a higher cost of living due to competition for tech talent. 
  • Industry: Certain industries like finance and tech generally offer higher salaries for Python developers due to the need for specialized skills. 

Enrolling in an advanced Python course drastically increases your chance of acquiring a high salary.

Workshop Experience

1. What will the online classroom experience be like?

In an online classroom, students can log in at the scheduled time to a live learning environment which is led by an instructor. You can interact, communicate, view and discuss presentations, and engage with learning resources while working in groups, all in an online setting. Our instructors use an extensive set of collaboration tools and techniques which improves your online training experience.

2. What should my personal setup look like?

Minimum Requirements: MAC OS or Windows with 8 GB RAM and i3 processor

Finance Related Queries

1. If I cancel the enrolment, will I get a refund?

Any registration cancelled within 48 hours of the initial registration will be refunded in FULL (please note that all cancellations will incur a 5% deduction in the refunded amount due to transactional costs applicable while refunding) Refunds will be processed within 30 days of receipt of written request for refund. Kindly go through our Refund Policy for more details: Refund Policy.

2. What is your 100% Money Back Guarantee?

KnowledgeHut offers a 100% money back guarantee if the candidate withdraws from the course right after the first session. To learn more about the 100% refund policy, visit our Refund Policy.

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