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CERTIFICATE In Phython(S-CP-5436)

  • Last updated Aug, 2026
  • Certified Course
₹3,500

Course Includes

  • Duration45 Days
  • Enrolled2
  • Lectures45
  • Videos0
  • Notes0
  • CertificateYes

What you'll learn

 Industry-Standard Vendor Certifications

The OpenEDG Python Institute offers the most widely recognized, vendor-neutral independent credentials for standard Python proficiency: [1, 2]

  • PCEP™ (Certified Entry-Level Python Programmer): Measures basic programming logic. It tests Python syntax, conditional execution, loops, data collections, and basic functions. [1]
  • PCAP™ (Certified Associate Python Programmer): Validates intermediate-level coding abilities. It tests Object-Oriented Programming (OOP), modules, packages, string processing, and exception handling. [1]
  • PCPP™ (Certified Professional in Python Programming): Advanced tracking split into two parts focusing on software design, GUI programming, network engineering, and databases. [1, 2, 3, 4, 5]



💻 Popular Course & Platform Certificates

These professional certificates focus on applied skills and give you certificates to showcase on your LinkedIn profile upon completing all modules: [1, 2, 3, 4]

  • Google IT Automation with Python (Coursera): A beginner-level track requiring no coding background. Focuses heavily on Python scripting, using Git/GitHub, and automating system administration tasks.
  • Microsoft Python Development Professional Certificate (Coursera): A 6-course beginner developer series. Teaches web development, building data visualizations, and creating basic machine learning models.
  • DataCamp Python Certifications (DataCamp): Industry-recognized tracks focused entirely on data domains. Offers certifications specialized for Data Analysts and Data Scientists.
  • Scientific Computing with Python (freeCodeCamp): A 100% free alternative. You must complete 5 end-to-end coding projects to pass the Python verification exam and win the certificate. [1, 2, 3, 4, 5]



📝 Core Topics Covered in Every Valid Certificate Course

Regardless of provider, any high-utility Python certificate curriculum must cover: [1, 2]

  1. Basics: Variables, basic operators, and memory data types.
  2. Control Flow: Conditional blocks (if-else) and structural loops (for, while).
  3. Data Structures: Working natively with Lists, Tuples, Dictionaries, and Sets.
  4. Functions: Code reusability, parameters, scopes, and return logic.
  5. OOP: Object-Oriented Programming essentials (Classes, Objects, Inheritance).
  6. I/O Operations: Text file reading, writing data, and processing error exceptions. [1, 2, 3, 4, 5]


Show More

Course Syllabus

 Industry-Standard Vendor Certifications

The OpenEDG Python Institute offers the most widely recognized, vendor-neutral independent credentials for standard Python proficiency: [1, 2]

  • PCEP™ (Certified Entry-Level Python Programmer): Measures basic programming logic. It tests Python syntax, conditional execution, loops, data collections, and basic functions. [1]
  • PCAP™ (Certified Associate Python Programmer): Validates intermediate-level coding abilities. It tests Object-Oriented Programming (OOP), modules, packages, string processing, and exception handling. [1]
  • PCPP™ (Certified Professional in Python Programming): Advanced tracking split into two parts focusing on software design, GUI programming, network engineering, and databases. [1, 2, 3, 4, 5]



💻 Popular Course & Platform Certificates

These professional certificates focus on applied skills and give you certificates to showcase on your LinkedIn profile upon completing all modules: [1, 2, 3, 4]

  • Google IT Automation with Python (Coursera): A beginner-level track requiring no coding background. Focuses heavily on Python scripting, using Git/GitHub, and automating system administration tasks.
  • Microsoft Python Development Professional Certificate (Coursera): A 6-course beginner developer series. Teaches web development, building data visualizations, and creating basic machine learning models.
  • DataCamp Python Certifications (DataCamp): Industry-recognized tracks focused entirely on data domains. Offers certifications specialized for Data Analysts and Data Scientists.
  • Scientific Computing with Python (freeCodeCamp): A 100% free alternative. You must complete 5 end-to-end coding projects to pass the Python verification exam and win the certificate. [1, 2, 3, 4, 5]



📝 Core Topics Covered in Every Valid Certificate Course

Regardless of provider, any high-utility Python certificate curriculum must cover: [1, 2]

  1. Basics: Variables, basic operators, and memory data types.
  2. Control Flow: Conditional blocks (if-else) and structural loops (for, while).
  3. Data Structures: Working natively with Lists, Tuples, Dictionaries, and Sets.
  4. Functions: Code reusability, parameters, scopes, and return logic.
  5. OOP: Object-Oriented Programming essentials (Classes, Objects, Inheritance).
  6. I/O Operations: Text file reading, writing data, and processing error exceptions. [1, 2, 3, 4, 5]


Eligibility

Who can apply for this course

 Industry-Standard Vendor Certifications

The OpenEDG Python Institute offers the most widely recognized, vendor-neutral independent credentials for standard Python proficiency: [1, 2]

  • PCEP™ (Certified Entry-Level Python Programmer): Measures basic programming logic. It tests Python syntax, conditional execution, loops, data collections, and basic functions. [1]
  • PCAP™ (Certified Associate Python Programmer): Validates intermediate-level coding abilities. It tests Object-Oriented Programming (OOP), modules, packages, string processing, and exception handling. [1]
  • PCPP™ (Certified Professional in Python Programming): Advanced tracking split into two parts focusing on software design, GUI programming, network engineering, and databases. [1, 2, 3, 4, 5]



💻 Popular Course & Platform Certificates

These professional certificates focus on applied skills and give you certificates to showcase on your LinkedIn profile upon completing all modules: [1, 2, 3, 4]

  • Google IT Automation with Python (Coursera): A beginner-level track requiring no coding background. Focuses heavily on Python scripting, using Git/GitHub, and automating system administration tasks.
  • Microsoft Python Development Professional Certificate (Coursera): A 6-course beginner developer series. Teaches web development, building data visualizations, and creating basic machine learning models.
  • DataCamp Python Certifications (DataCamp): Industry-recognized tracks focused entirely on data domains. Offers certifications specialized for Data Analysts and Data Scientists.
  • Scientific Computing with Python (freeCodeCamp): A 100% free alternative. You must complete 5 end-to-end coding projects to pass the Python verification exam and win the certificate. [1, 2, 3, 4, 5]



📝 Core Topics Covered in Every Valid Certificate Course

Regardless of provider, any high-utility Python certificate curriculum must cover: [1, 2]

  1. Basics: Variables, basic operators, and memory data types.
  2. Control Flow: Conditional blocks (if-else) and structural loops (for, while).
  3. Data Structures: Working natively with Lists, Tuples, Dictionaries, and Sets.
  4. Functions: Code reusability, parameters, scopes, and return logic.
  5. OOP: Object-Oriented Programming essentials (Classes, Objects, Inheritance).
  6. I/O Operations: Text file reading, writing data, and processing error exceptions. [1, 2, 3, 4, 5]


Course Fees

Course Fees
:
₹3500/-
Discounted Fees
:
₹ 3500/-
Course Duration
:
45 Days

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