Python Certification Course

Future-Proof Your Skills: Python Course for the Modern Developer.

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Python Course Overview

This Python Training course covers the fundamentals of Python and how to apply it to real-world applications. The modules, lesson-end projects, and assignments comprising the curriculum cover data operations in Python, strings, conditional statements, error handling, shell scripting, web scraping, and the commonly used Python web framework Django.

Python Certification Key Features

100% Money Back Guarantee
No questions asked refund*

At Simplilearn, we value the trust of our patrons immensely. But, if you feel that a course does not meet your expectations, we offer a 7-day money-back guarantee. Just send us a refund request via email within 7 days of purchase and we will refund 100% of your payment, no questions asked!
  • 20+ assisted practices on all modules
  • 5 lesson-end knowledge checks and 1 real-life course-end project
  • Industry-recognized course completion certificate
  • 8X higher interaction in live online classes conducted by industry experts
  • 20+ assisted practices on all modules
  • Industry-recognized course completion certificate
  • 5 lesson-end knowledge checks and 1 real-life course-end project
  • 8X higher interaction in live online classes conducted by industry experts
  • 20+ assisted practices on all modules
  • Industry-recognized course completion certificate
  • 5 lesson-end knowledge checks and 1 real-life course-end project
  • 8X higher interaction in live online classes conducted by industry experts

Skills Covered

  • Web scraping
  • Operators
  • Django
  • Sets
  • Conditional statements
  • Functions
  • Errors and exceptions
  • Objectoriented programming
  • Methods
  • Indexing
  • Dictionaries
  • Loops
  • File handling
  • Shell scripting
  • Web scraping
  • Objectoriented programming
  • Operators
  • Methods
  • Django
  • Indexing
  • Sets
  • Dictionaries
  • Conditional statements
  • Loops
  • Functions
  • File handling
  • Errors and exceptions
  • Shell scripting
  • Web scraping
  • Objectoriented programming
  • Operators
  • Methods
  • Django
  • Indexing
  • Sets
  • Dictionaries
  • Conditional statements
  • Loops
  • Functions
  • File handling
  • Errors and exceptions
  • Shell scripting

Take the first step to your goals

Lifetime access to self-paced e learning content

Benefits

Unlock the power of programming with Simplilearn's Python course! Dive into the world of coding with a curriculum designed to make learning Python easy and enjoyable. Our course offers a structured path to mastering Python, a language renowned for its versatility and readability.

  • Designation
  • Annual Salary
  • Hiring Companies
  • Python Developer
    Annual Salary
    $68KMin
    $92KAverage
    $128KMax
    Source: Glassdoor
    Hiring Companies
    Microsoft
    Wells Fargo
    IBM
    Mindtree
    Source: Indeed

Training Options

Self Paced Learning

  • Lifetime access to high-quality self-paced e-learning content curated by industry experts
  • 24x7 learner assistance and support

$1,199

Corporate Training

Upskill or reskill your teams

  • Flexible pricing & billing options
  • Private cohorts available
  • Training progress dashboards
  • Skills assessment & benchmarking
  • Platform integration capabilities
  • Dedicated customer success manager

Python Course Curriculum

Eligibility

Anyone interested in learning Python for software development or data science job roles will benefit from this Python certification. This Python course also is well-suited for:
Software developers
Software engineers
Technical leads
Architects
Programming enthusiasts
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Pre-requisites

Learners need to possess an undergraduate degree or a high school diploma.
Read More

Course Content

  • Section 01 - Self Paced Learning Curriculum

    Preview

    • Lesson 01: Python Basics

      32:11Preview
      • 1.1 Course Introduction
        01:50
      • 1.2 Learning Objectives
        00:49
      • 1.3 Introduction to Python and It s Features
        06:10
      • 1.4 Python Introduction - Uses and Flavours
        06:16
      • 1.5 Python Introduction - Why Python
        00:55
      • 1.6 Software Installation and Environment Setup
        01:42
      • 1.7 Demo: Software Installation and Environment setup
        05:13
      • 1.8 Data Types
        04:24
      • 1.9 Input Output Functions
        01:23
      • 1.10 Demo: Data Types and Input Output Functions
        02:57
      • 1.11 Key Takeaways
        00:32

    • Lesson 02: Data Operations

      01:11:35Preview
      • 2.1 Learning Objectives
        00:26
      • 2.2 Data Type Conversion
        04:36
      • 2.3 Arithematic Operators
        02:35
      • 2.4 Comparision Operators
        03:14
      • 2.5 Assignment Operators
        03:02
      • 2.6 Bitwise Operators
        02:16
      • 2.7 Demo: Data Operations
        26:54
      • 2.8 String Methods
        05:01
      • 2.9 Demo: String Operations
        04:37
      • 2.10 List Methods
        02:37
      • 2.11 Demo: List Operations
        02:43
      • 2.12 Tuple Methods
        01:40
      • 2.13 Demo: Tuple Operations
        02:50
      • 2.14 Sets Methods
        01:50
      • 2.15 Dictionary Methods
        03:25
      • 2.16 Demo: Dictionary Operations
        03:28
      • 2.17 Key Takeaway
        00:21

    • Lesson 03: Conditional Statements and Functions

      30:57Preview
      • 3.1 Learning Objective
        00:20
      • 3.2 Expressions
        03:28
      • 3.3 Conditional Statement
        03:08
      • 3.4 Demo - Conditional Statement
        04:32
      • 3.5 Loops - for loop
        04:34
      • 3.6 Loops - while loop
        01:00
      • 3.7 Demo - Loops
        04:47
      • 3.8 Functions
        02:42
      • 3.9 Demo - Functions
        06:08
      • 3.10 Key Takeaway
        00:18

    • Lesson 04: Error Handling and File Operations

      01:04:13Preview
      • 4.1 Learning Objective
        00:25
      • 4.2 File Handling
        05:48
      • 4.3 Demo - File Handling
        04:12
      • 4.4 Errors
        04:45
      • 4.5 Exceptions
        04:51
      • 4.6 Demo - Errors and Exceptions
        05:56
      • 4.7 Logging
        03:02
      • 4.8 Demo - Logging
        04:59
      • 4.9 Python Debugger(Pdb Module)
        03:44
      • 4.10 Demo - Python Debugger
        07:46
      • 4.11 Objects and Classes
        03:35
      • 4.12 Objects and functions
        04:12
      • 4.13 Demo - Object Oriented Programming
        10:35
      • 4.14 Key Takeaway
        00:23

    • Lesson 05: Shell Scripting and Django

      36:17Preview
      • 5.1 Learning Objective
        00:24
      • 5.2 Shell Scripting
        04:21
      • 5.3 Sys, OS and Sub-Process module
        03:35
      • 5.4 Reading Writing Files and Working with Date-time Module
        04:42
      • 5.5 Demo - Shell Scripting in Python
        04:38
      • 5.6 Web Scrapping
        02:24
      • 5.7 Demo - Web Scrapping using Beautiful Soup
        06:22
      • 5.8 Django - Intro and Architecture
        03:59
      • 5.9 Demo - Django Installation
        05:31
      • 5.10 Key Takeaway
        00:21

    • Lesson 06: Logging Infrastructure

      52:58Preview
      • 6.01 Learning Objectives
        00:28
      • 6.02 Introduction to Python Logging
        04:48
      • 6.03 Concepts of Python Logging
        05:25
      • 6.04 Changing the Format of Logs
        05:00
      • 6.05 Python Logger
        07:12
      • 6.06 Using Python Logging
        05:21
      • 6.07 Logging Handlers and Formatters
        03:52
      • 6.08 Logging Flow
        05:16
      • 6.09 Configuring Logging
        02:09
      • 6.10 Extending Logging
        01:20
      • 6.11 Buffering Logs
        00:29
      • 6.12 Logging Best Practices
        06:13
      • 6.13 Rotating Log Files
        02:23
      • 6.14 Logging to a File
        02:35
      • 6.15 Summary
        00:27

    • Lesson 07: Unittest Infrastructure

      38:08Preview
      • 7.01 Learning Objective
        00:22
      • 7.02 Introduction to Unit Testing
        05:26
      • 7.03 Introduction to Unittest Framework
        02:16
      • 7.04 Concept of Unittest Framework
        02:51
      • 7.05 Command Line
        02:19
      • 7.06 Python Unittest
        07:51
      • 7.07 Using Python Unittest
        02:15
      • 7.08 Testing for Exceptions
        01:03
      • 7.09 Test Fixtures
        01:44
      • 7.10 Python Assertions
        03:29
      • 7.11 Classes and Functions
        06:13
      • 7.12 Pros and Cons
        00:42
      • 7.13 Mock object library
        01:15
      • 7.14 Summary
        00:22

    • Lesson 08: Networking Concepts

      45:47Preview
      • 8.01 Learning Objective
        00:31
      • 8.02 Introduction to Python Networking
        04:02
      • 8.03 Sockets
        02:37
      • 8.04 Socket Programming
        06:05
      • 8.05 Working with Python Networking
        05:39
      • 8.06 Data Models
        00:58
      • 8.07 Building Client-Server Communication
        06:05
      • 8.08 Socket Types
        02:35
      • 8.09 TCP Sockets
        04:10
      • 8.10 The Tornado Frameworrk
        01:39
      • 8.11 Building a Python Chat Server
        10:59
      • 8.12 Summary
        00:27

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Python Reallife Projects

  • Project 1

    Python Decorators

    Implement a Python decorator that should take whatever the decorated function returns, and writes it to a file in a new line.

  • Project 2

    Manage the Password

    Develop a new version of a password manager that can keep track of all the passwords that have been set for the respective accounts.

  • Project 3

    Patient Management Application

    Write an application in Django for a hospital receptionist that has features, including checking if the patient is already registered. If not register the patient.

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Python Exam & Certification

Python Certificate

  • What do I need to do to unlock my Simplilearn certificate?

    To obtain the Python certification, you must:

    • Complete 85% of the online self-learning course or attend 1 complete batch of this training

    • Successful evaluation of the project

Python Course Reviews

  • Charlotte Martinez

    Charlotte Martinez

    This is a good course for beginners as well as experts with all the basic concepts explained clearly. It's a good starter to move to python programming for programmers as well as non- programmers

  • Sofia Taylor

    Sofia Taylor

    This is one of the best courses I've taken on Simpliearn. The courseware is very well organized with a clearly thought out learning progression

  • Avery Anderson

    Avery Anderson

    It was very well constructed, concise and to the point course. Great courseware

  • Peter Seboyeng

    Peter Seboyeng

    After I completed the python course, there was a 20% increase in the number of freelance projects, I got. Also, my earnings increased by 30%.

  • Dinesh Singh Kunwar

    Dinesh Singh Kunwar

    Dy. Manager (IT Applications) at Mahindra Comviva

    Nice and compact!

prevNext

Why Online Bootcamp

  • Develop skills for real career growthCutting-edge curriculum designed in guidance with industry and academia to develop job-ready skills
  • Learn from experts active in their field, not out-of-touch trainersLeading practitioners who bring current best practices and case studies to sessions that fit into your work schedule.
  • Learn by working on real-world problemsCapstone projects involving real world data sets with virtual labs for hands-on learning
  • Structured guidance ensuring learning never stops24x7 Learning support from mentors and a community of like-minded peers to resolve any conceptual doubts

Python Certification FAQs

  • Why Learn Python?

    Among the various programming languages available in the market, Python is one of the fastest-growing languages. Python is used to build web applications, game development, machine learning, ecommerce platforms, and scientific and numerical computing. Learning Python is beneficial whether you want to become a data scientist, machine learning engineer, data analyst, or software developer. Our Python course can help you proficiently use this in-demand language and succeed as a Python developer.

    For more details, click here.

  • What does a Python Developer do?

    A Python developer is expected to design, build, deploy, and debug projects, primarily on the back end. They create scalable Python code based on business needs to develop robust applications. Responsibilities vary by industry. Python is a rapidly growing language, highly valued in today’s job market. Many companies seek Python developers due to its versatile applications. Get Simplilearn’s Python certification to gain all you need to become a successful developer.

  • What skills should a Python Developer know?

    Python developers should have a firm understanding of Python basics and object-oriented programming concepts. According to their field of work, they should be familiar with related frameworks and libraries. Python software developers are also expected to have a good understanding of ORM libraries, front-end technologies, version control systems, and more. Our Python certification is one of the best ways to develop these skills.

  • What are the job roles available after getting a Python certification?

    Python programming is a must-have skill for many trending job roles, such as software development, web development, machine learning, business intelligence analysis, data analysis, data engineering, network programming, and data science. Simplilearn’s Python certification can help you gain the necessary programming skills to become eligible for all these job roles.

  • How do beginners learn Python programming?

    Compared to other programming languages in computer science, Python has simpler syntax and English-like commands, making it easier for learners to grasp its basics. There are several python courses availbale onine to learn the programming language. Our Python certification is suitable for beginners, and the concepts are explained step-by-step to help them build a strong foundation in Python. To become a Python programmer, you need more expertise and understanding of using it in various applications. This comprehensive Python course can help you get hands-on experience on Python and its powerful libraries, python data structures, and python syntax that you will be required to know in order to become a Python programmer.

  • What’s the average salary of a Python programmer?

    According to ZipRecruiter, the average annual salary of a Python programmer in the United States is $115,066. Getting Python certified can further increase such professionals' salaries.

  • Can I cancel my enrolment? Do I get a refund?

    After deducting the administration fee, the remaining course fee will be refunded when the enrollment is canceled. Please review our Refund Policy to learn more.

  • I want to know more about the training program. Whom do I contact?

    Please join our Live Chat for instant support, call us, or Request a Call Back to have your query resolved.

  • Which companies hire Python Developers?

    Enterprises and startups alike hire Python developers in large numbers to work on a variety of projects. Google, Accenture, TCS, Cognizant, Facebook, Amazon, and Microsoft are the top technology companies hiring Python developers. Add our Python certification to your resume and increase your likelihood of getting hired by these companies.

  • What are the top Python certification exams, and which is the hardest Python certification?

    The top Python credentials include Python Institute's PCAP, Microsoft's Python certifications, and Cisco's Python certifications. These certifications validate proficiency in Python programming and are recognized globally across industries.
    Preparation with Simplilearn:
    Our online, self-paced course thoroughly prepares you for these exams, ensuring your success in the competitive landscape of Python certification. With a comprehensive curriculum and hands-on training, you'll be well-equipped to excel at Python certification exams.

  • What are the benefits of taking an online Python certification course?

    Enrolling in an online Python course provides unparalleled flexibility, accessibility, and the freedom to learn at your own pace. Our Python Course not only ensures these advantages but also offers expert guidance, hands-on projects, and a recognized certification to propel your career forward in the competitive tech landscape.

  • Why are Python certificates important?

    Validation of Skills: Python certificates are crucial for proving your expertise in Python programming. They prove your abilities, boosting your credibility with potential employers or clients. 

    Enhanced Employability: Python certificates demonstrate your dedication to learning and growth, setting you apart in the job market and improving your chances of landing great career opportunities. 

    Industry Recognition: Our Python Certification is respected by professionals and employers, showcasing your relevant skills and readiness to contribute to organizational goals.

  • Can I study Python in 3 months?

    Yes, you can definitely learn the Python programming language within three months with commitment and consistent effort. Our Python course is meticulously designed to equip you with the requisite knowledge and skills to master Python programming within this timeframe, facilitating your journey to becoming a proficient developer. Through structured learning modules, hands-on exercises, and real-world projects, you'll receive comprehensive training that accelerates your Python proficiency and prepares you to tackle its practical applications in various domains.

Related Programs

  • Disclaimer
  • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, and OPM3 are registered marks of the Project Management Institute, Inc.