Python Certification (Self-Paced)

Self-paced online training with expert support Certificate with 4 courses

Build Python programming skills through projects and personalized support. Learn to analyze data, automate tasks, and prepare for certification.

$2,999 33 clock hours Live Support Start anytime

This program includes

  • 33 hours of project-based training from experts
  • 229 training videos
  • Software Access
  • PCAP Certified Associate Python Programmer exam
  • Answers from real instructors
  • 1-on-1 bonus training
  • Retake for free within 1 year
  • Access to class recordings (30 days)
  • Verified digital certificate of completion

This course is self-paced. For live online or in-person instruction, take the Python Certification Program.

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 in Python Programming (PCAP) exam. This program includes:

  • Python for Data Science Bootcamp (30 hours total)
  • One free Python elective to build additional skills
  • Three hours of private tutoring (in one session)
  • Certified Associate in Python Programming (PCAP) exam with one free retake
  • Additional materials to support exam preparation
  • Option to replace the exam with one additional hour of private tutoring
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Courses & Videos in This Certificate Program

Download Syllabus PDF

Unit 1 30 Hours

Python for Data Science Course Online (Self-Paced)

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.

  • Handle different types of data such as integers, floats, and strings
  • Control the flow of your programs with conditional statements, loops, and functions
  • Reuse and simplify code with object-oriented programming
  • Analyze tabular data with NumPy and Pandas
  • Create graphs and visualizations with Matplotlib
  • Make predictions with linear regression, using scikit-learn
Lesson 1: Python for Data Science Fundamentals
Lesson 2: Boolean Conditions
Lesson 3: Datetime & Random
Lesson 4: Loops & Strings
Lesson 5: Dictionaries
Lesson 6: Numpy
Lesson 7: Pandas Dataframes
Lesson 8: Bar Charts with Matplotlib
Lesson 9: Line & Scatter Charts with Matplotlib
Lesson 10: Pivot Population Data & Charts

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 Course Online (Self-Paced)

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
Lesson 1: Using VSCode & Flask
Lesson 2: Rendering HTML with Flask
Lesson 3: Connecting with OpenAI
Lesson 4: Jinja and Prompt Engineering
Lesson 5: Building the Chat
Lesson 6: Coding HTML & CSS
Lesson 7: Using Javascript
Lesson 8: Improving the Chat
Lesson 9: Starting the Meal Analyzer
Lesson 10: Finalizing the Meal Analyzer

Bonus 30 Hours

Python Machine Learning Course Online (Self-Paced)

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.

  • How to clean and balance your data using the Pandas library
  • Applying machine learning algorithms such as logistic regression and random forest using the scikit-learn library
  • Choosing good features to use as input for your algorithms
  • Properly splitting data into training, test and cross-validation sets
  • Important theoretical concepts like overfitting, variance and bias
  • Evaluating the performance of your machine learning models
Lesson 1: Basic Regression Analysis
Lesson 2: Supervised Learning Essentials
Lesson 3: K-Nearest Neighbors
Lesson 4: Titanic Survival Prediction
Lesson 5: Neural Networks

Bonus 24 Hours

Python Data Visualization & Interactive Dashboards Online (Self-Paced)

Learn to gather, manipulate, and analyze real-life data in this course, where you'll gain hands-on experience with Python's NumPy and Pandas libraries. Develop your data visualization skills using Matplotlib, Seaborn, Plotly, and Dash Enterprise, and complete real-life projects that can be deployed online.

  • Plan, gather, and manipulate data from different sources to present a data story
  • Find data stories through exploratory data analysis 
  • Manipulate data with NumPy and Pandas.
  • Use advanced Python visualization libraries Plotly and Dash
  • Build a dashboard and apply the rules of effective dashboard design to create professional data science solutions
  • Go live with your project and deploy the dashboard on a live server
Lesson 1: Environment Setup & Foundations
Lesson 2: Building Core Dash Visuals
Lesson 3: Pandas & Function Essentials
Lesson 4: Data Analysis & Multi-Graph Dashboards
Lesson 5: Interactive Dashboards & Final Project

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