Python Certification Program
IDCPL

Hands-on Training from Experts Live Online

Build practical Python programming skills through real-world projects, personalized support, and exam prep. Learn how to analyze data, automate tasks, and prepare for professional Python certification.

This program includes

  • 33 hours of live, project-based training from experts
  • Access to class recordings (30 days)
  • Verified digital certificate of completion
  • Learn at an accredited institution

In our Python Certification Program, you’ll master Python fundamentals, analyze real-world datasets, and build hands-on projects that prepare you for the Certified Associate Python Programmer (PCAP) exam. This program includes:

  • Our Python for Data Science Bootcamp (30 hours total)
  • One free Python elective to boost skills
  • Three (3) hours of private tutoring (in one session)
  • The Certified Associate Python Programmer (PCAP) exam with a free retake
  • Additional materials to help you prepare for the exam
  • Option to replace the exam with one additional hour of private tutoring
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Courses in this Certificate Program

This is the recommended order, but some courses may be taken in a different order.

Download Syllabus PDF

Unit 1 30 Hours

Python for Data Science Bootcamp
  • Learn Python fundamentals, including variables, data types, functions, loops, and control flow, for building robust programs
  • Work with complex data structures such as dictionaries and lists to efficiently organize and access data
  • Use NumPy and Pandas to import, clean, and manipulate datasets for analysis and exploration
  • Generate descriptive statistics and apply filtering, grouping, and pivoting techniques to gain deeper insights
  • Visualize data using Matplotlib and create clear, customized charts, including bar graphs, histograms, and scatter plots
  • Gain the practical skills needed to transition into machine learning with a solid understanding of data science workflows

Attend one of the courses below for free as part of this certificate. Choose your date after you register for the program. 

Bonus 30 Hours

Python for AI: Create AI Apps with Flask & OpenAI

Learn how to build AI-powered web applications using Flask and the OpenAI API. This course covers web development fundamentals, API integration, and AI-driven features for interactive applications.

  • Set up Flask projects and create routes for handling web requests and rendering templates.
  • Design and style web applications using HTML, CSS, and Flask’s templating system.
  • Integrate the OpenAI API to implement AI-powered features like sentiment analysis.
  • Handle user input with dynamic forms and process data for real-time interactions.
  • Implement error handling and debugging techniques to ensure smooth application performance.
  • Deploy and test Flask applications for real-world use and AI-enhanced functionality.

Bonus 30 Hours

Python Machine Learning Bootcamp
  • Explore foundational techniques like linear and logistic regression for modeling numerical and categorical data
  • Understand the difference between regression and classification problems and when to apply each approach
  • Build and evaluate models using k-nearest neighbors, decision trees, and ensemble methods like random forest
  • Learn key concepts such as cross-validation, training vs. test sets, and performance metrics like mean squared error
  • Apply feature engineering techniques to improve model accuracy while managing overfitting and bias-variance tradeoffs
  • Use Python's essential data science libraries, NumPy, Pandas, and scikit-learn, to structure data and implement algorithms
  • Gain insights into how machine learning powers systems at companies like Netflix, Spotify, and Amazon
  • Complete a final portfolio project that demonstrates your ability to apply machine learning to solve real problems

Bonus 24 Hours

Python Data Visualization & Interactive Dashboards

Transform raw data into interactive visual insights by building dashboards with Python’s top visualization tools. This course blends analysis, design, and deployment to help you showcase data professionally.

  • Work with real-life datasets using Python’s core libraries, including NumPy for numerical computing and Pandas for data manipulation
  • Create static and interactive visualizations using Matplotlib, Seaborn, and Plotly to clearly communicate trends and patterns
  • Build multi-component dashboards using Dash Enterprise, incorporating callbacks, sliders, date pickers, and more
  • Practice hands-on development by applying new skills to personalized projects with guided instructor support
  • Publish your dashboards online using GitHub and Heroku to demonstrate your work to potential employers or clients
  • Explore best practices for styling and structuring visual narratives that are clear, persuasive, and engaging

Exam

This certificate includes this certification exam as well as the exam proctoring. The exam is optional.

PCAP Certified Associate Python Programmer

The PCAP Certified Associate Python Programmer exam tests your ability to write, organize, and troubleshoot intermediate Python code using key concepts like OOP, file handling, and modular programming.

Exam details

Schedule & Enrollment: Python Certification Program

  • 33 Hours
  • Full tuition: $2,999
  • Live Online
  • Expert instructors
  • Small classes

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Related Courses: Compare to the Python Certification Program

These related courses share skills and topics with the Python Certification Program. Select up to two and tap Compare selected courses to view a side-by-side comparison.

  • Python for Data Science Bootcamp
    30 hours $1,495

    Unlock the power of Python for data-driven decision-making as you master Python programming fundamentals and dive into data analysis. Acquire essential skills to clean and manipulate data, create insightful visualizations, and perform statistical analysis, all through hands-on projects with real-world datasets.

  • Python Machine Learning Bootcamp
    30 hours $1,895

    Learn the fundamentals of machine learning, including regression analysis and classification algorithms, in this practical, hands-on course. Gain the skills needed to solve real-world problems using machine learning, with a focus on Python programming and data science libraries.