Complement Your Degree With A High-Demand Skill.

Python is the most popular programming language for applications in data analytics, machine learning, AI, business, and finance and it has become an enterprise-critical competency. 

For over 15 years, we have been perfecting a gamified, learn-by-doing approach that ensures that you gather the skill set and practical experience that employers want job applicants to have.

Overview of Training

This gold star training program is designed for you, if you are wanting to acquire a high-demand skill, alongside your degree. It provides you with enough practice and theoretical knowledge to make you job-ready when you graduate.

Python Programming can’t be learned in a few weeks by passively watching video tutorials and doing unassisted assignments. It’s an advanced skill set which can only be mastered with a significant amount of closely supervised practice. NCLab’s proven training method is called Instructor-Assisted Learning By Doing.

Throughout your learning, you are assisted by a powerful Artificial Intelligence-based teaching platform that watches your every step, grading your work in real time, and helping you with contextual information, hints, and templates, as needed. The AI-based platform also teaches you established best practices, methodologies, and guidelines that you need to follow to ensure consistency, accuracy, and reliability in your work.

You learn actively from Day 1. After gaining confidence in one topic, you move to the next one. The progression has been improved and tuned for many years and it is so smooth that you never get lost and you are never alone.

Coursework

The program consists of two semesters, Python Development I and Python Development II, and it fully prepares you to take the Python Institute PCEP certification exam. Following is a description of modules in each semester course.

Python Development I — Semester 1

Computational Literacy (30 hours): In this module, you use a visual, beginner-friendly programming language to learn logic, algorithmic thinking, computational problem-solving, and the core concepts of procedural programming. You design algorithms, write code, identify repeating patterns, and use loops to repeat commands and sequences. You work with Boolean logic, conditional statements, and conditional loops, define and use custom commands and functions, break complex problems into smaller components, and incorporate random numbers and basic probability.

Introduction to Python (30 hours): Here, you receive a comprehensive introduction to Python. You solve programming problems of increasing complexity, using calculations, loops, conditions, local and global variables, functions, and basic exception handling. You become proficient with Python’s fundamental data structures—tuples, lists, sets, frozen sets, and dictionaries—while developing clean, professional code aligned with the PEP 8 style guide.

Working with Text (20 hours): You focus on text string operations, learning to create, clean, and format strings; work with special characters; use essential string methods; apply ASCII and Unicode tables; slice, copy, and reverse strings; utilize regular expressions; and extract information from large text files.

Plotting and Drawing (10 hours): You learn to use Python’s Matplotlib library for visualizations and graphics. You draw lines and polylines, format plots, create geometric shapes, adjust line styles and colors, fill closed areas, graph functions, plot parametric curves, and use nested loops to manipulate 2D arrays.

Software Project 1 (10 hours): You build a custom Graphics Editor using Matplotlib. This editor allows you to create and modify shapes—such as lines, squares, triangles, rectangles, and circles—fill them with color, and move, scale, or rotate them to form complex designs. Through this project, you strengthen your programming skills and gain insight into software design principles.

Working with Files (10 hours): You learn file operations in Python, including opening files, reading and processing data, and writing output to files.

Software Project 2 (10 hours): You develop an Image Viewer in Python that reads PBM, PGM, and PPM bitmap images, stores them as 2D NumPy arrays, and visualizes them with Matplotlib. You practice representing images as arrays, importing data from files, visualizing and manipulating arrays, and handling basic exceptions.

Data Visualization with Python (20 hours): You learn to create a variety of visualizations, including graphs, bar charts, pie charts, color maps, surface plots, wireframe plots, and contour plots. You also work with structured data on Cartesian grids and unstructured data on triangulations.

Click here to access the Python Development I syllabus and use the links in the table of contents to see the various topics that you will be expected to master.

Python Development II — Semester 2

Data Analytics Essentials (10 hours): You gain essential data analytics skills for Python development. You work with Pandas data frames, create scatterplots, regression plots, and residual plots in Seaborn, perform simple predictions with linear regression, read various data file types, manage missing values, and clean datasets.

Computer Science Essentials (20 hours): You learn numeric systems—decimal, binary, octal, and hexadecimal—required for the PCEP exam. You practice counting, adding, and converting between systems, applying bitwise operators, and using Boolean logic.

Intermediate Topics in Python (20 hours): You study advanced Python topics for the PCEP exam, including variadic and anonymous (lambda) functions, built-in functions (any(), all(), map(), filter(), reduce(), eval(), exec()), iterables, iterators, generator functions, and generator expressions. You also deepen your understanding of mutability, shallow vs. deep copying, and exception handling.

Software Project 3 (20 hours): You simulate the brain of a digital computer in Python, working with logic gates, binary adders, multipliers, and integrated circuits. You also explore transistor counts, Moore’s Law, CPU clock speeds, and other key computer science concepts.

Object-Oriented Programming 1 (20 hours): You are introduced to object-oriented programming (OOP), learning how it evolved from procedural programming and the key differences between the two styles. You work with core concepts such as classes, objects, attributes, methods, instantiation, and constructors, and practice creating and instantiating classes in Python.

Software Project 4 (20 hours): You implement your own version of Turtle Graphics, a classic Python drawing program where a virtual turtle draws geometric patterns using a few simple commands. This project gives you the chance to practice OOP and compare different software design approaches.

Object-Oriented Programming 2 (20 hours): You advance your OOP skills by creating subclasses, adding attributes and methods, overriding methods, and working with advanced concepts like polymorphism and multiple inheritance.

PCEP Exam Preparation (10 hours): You take multiple practice exams to prepare for the Certified Entry-Level Python Programmer (PCEP) certification from the Python Institute, a credential that validates your Python programming skills and is recognized by employers.

Click here to access the Python Development II syllabus and use the links in the table of contents to see the various topics that you will be expected to master.

Get More Information

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