Python Programming

₦500,000 (80% off)
₦100,000

One-time Payment



Installment Plans:
₦55,000 per 3months
₦20,000 per month



Commit Now, Pay Later Plan:
Pay ₦20,000 now, then balance ₦180,000 within 12 months



See FAQ below for details
Terms and Conditions Apply

Course Features

About this course

Introduction

Embark on your coding journey with our Python Programming Course, designed for aspiring developers eager to dive into the world of programming. Python, known for its simplicity and versatility, is the perfect language for beginners and seasoned tech enthusiasts alike. This course covers fundamental concepts such as data types, control structures, and functions, while also exploring advanced topics like object-oriented programming, web scraping and data analytics tools (such as NumPy, Pandas, Matplotlib, etc.).

Complementing our core curriculum, the course includes a dynamic 8-week bootcamp, where you will engage in hands-on projects that reinforce your learning. During the bootcamp, you’ll tackle real-world scenarios, including developing automation scripts, creating data visualizations, and building web applications using Flask or Django. You’ll gain practical experience and learn standard industrial practices that not only solidify your understanding but also prepares you for entry-level positions in the tech industry. 

Join us to unlock your potential and start your journey in the exciting world of programming!

  • Beginners with no prior programming experience.
  • Individuals interested in programming and automation.
  • Professionals seeking to enhance their coding skills for data analysis, scripting, or web development.
  • Students who want a strong foundation in programming concepts to build on for future specialization.
  • Understand Python syntax and core general computer programming concepts.
  • Learn how to write clean, efficient, and reusable code.
  • Gain a high proficiency in using Python for problem-solving and automating tasks.
  • Work with libraries and frameworks to expand Python’s capabilities.
  • Develop simple and complex Python applications and scripts.
  • Get equipped and prepared for either higher Tech stacks or an entry-level Tech job

Python is one of the most versatile and beginner-friendly programming languages. Participants will learn how to code efficiently, providing them with a solid base for entering various tech fields.

Python is used in data science, machine learning, web development, automation, and more. This program opens up pathways to specialized fields like artificial intelligence and data analytics.

Learn how to automate repetitive tasks and solve complex problems using Python’s logical structure and extensive libraries.

Python is a leading language in cutting-edge industries such as AI, machine learning, and big data, making it a valuable skill in the tech job market.

With a solid grasp of Python, participants will find it easier to learn more advanced programming languages and technologies in the future.

Python's application in data science and analysis provides participants with the tools to work on data visualization, processing, and machine learning projects.

  • Students will write clean, efficient Python code using variables, loops, functions, and conditional statements.

  • Grasp core programming concepts such as variables, data types, operators, control structures (e.g., if statements, loops), and functions, establishing a strong foundation in Python programming.
  • Students will create Python-based applications that solve real-world problems, such as web scrapers, automation tools, or data analysis scripts.

  • Learn to deploy Python applications on cloud platforms like Heroku or AWS, enabling live access to your projects by external users.
  • Learn how to install and use popular libraries such as NumPy for numerical computations, Pandas for data manipulation, and Matplotlib for data visualization.

  • Gain proficiency in using Python's extensive library ecosystem to perform complex tasks efficiently.

  • Learners will manipulate, analyze, and visualize datasets using Python libraries like Pandas and Matplotlib.

  • Create meaningful visual representations of data using libraries like Matplotlib and Seaborn, and apply data analysis techniques to extract insights from large datasets.
  • Apply the principles of object-oriented programming (OOP) such as classes, objects, inheritance, and polymorphism to build reusable and modular Python code.

  • Students will design and implement Python classes and objects, applying OOP principles to structure larger applications.
  • Learn how to consume and interact with third-party APIs using Python, allowing participants to retrieve, process, and analyze real-world data from various online services.

  • Learners will connect their Python applications to external APIs, automate tasks, and handle files programmatically.

  • Automate tasks such as file handling, report generation, and web scraping to streamline workflows and boost productivity in real-world scenarios.
  • Learn to utilize Python’s built-in data structures such as lists, tuples, sets, and dictionaries to efficiently store, manipulate, and access data.
  • Handle file operations, including reading from and writing to files, and interact with external input/output sources for data processing tasks.
  • Gain hands-on experience with web scraping by using libraries like BeautifulSoup and Scrapy to extract data from websites.

  • Learn how to automate routine tasks using Python scripts.
  • Understand how to interact with databases through Python, using libraries such as SQLite or PostgreSQL to perform CRUD (Create, Read, Update, Delete) operations.
  • Gain foundational knowledge in building dynamic web applications using Flask or Django, integrating front-end components with back-end functionality to create full-stack solutions.
  • Get introduced to data science concepts, including data cleaning and analysis, and a basic understanding of machine learning algorithms using Python libraries such as Scikit-learn.
  • Implement version control using Git and GitHub to track changes, collaborate on projects, and work in a distributed development environment.
  • By the end of the course, students will have gained enough practical experience and project work to pursue entry-level roles in programming, web development, or data-related fields.

  • Develop a portfolio of Python-based projects that showcase practical solutions to real-world problems, preparing for internships, bootcamps, or entry-level roles in Python development, data science, automation, or web development.

After mastering the skills taught in this course, you will be able to pursue key tech areas such as:

  • Overview: With Python frameworks like Django or Flask, learners can advance into back-end web development, creating powerful server-side applications and APIs.

  • Applications: Full-stack web development, API development, building dynamic web apps.
  • Overview: Python is widely used for data manipulation, analysis, and visualization, making it ideal for careers in data science. Libraries like Pandas, NumPy, and Matplotlib offer powerful tools for data handling.

  • Applications: Data analysis, machine learning, business intelligence, big data analytics.
  • Overview: Python is a go-to language for machine learning and AI development, with frameworks such as TensorFlow, PyTorch, and Scikit-learn.

  • Applications: AI model building, natural language processing, computer vision, automation.
  • Overview: Python's simplicity makes it ideal for automating repetitive tasks, enabling roles in DevOps, system administration, or automated testing.

  • Applications: Automating workflows, creating scripts for system monitoring, task scheduling, and software testing.
  • Overview: Using libraries like Pygame, learners can dive into game development, creating 2D or text-based games.

  • Applications: Game design, interactive media, and educational games.
  • Overview: Python is often used in cybersecurity for tasks like malware analysis, penetration testing, and developing security tools.

  • Applications: Ethical hacking, vulnerability analysis, security tool development.
  • Overview: Python is popular for DevOps tasks such as infrastructure automation, working with cloud services like AWS, Google Cloud, and Azure.

  • Applications: Cloud infrastructure automation, CI/CD pipeline management, container orchestration.

Curriculum

Topics Covered:

  • Introduction to Python, Installing Python, and Setting Up IDEs (VS Code, PyCharm).
  • Basic Syntax: Variables, Data Types (Numbers, Strings, Lists, Tuples, Dictionaries).
  • Input/Output Operations.
  • Basic Operators and Expressions.
    Conditionals (if, else, elif).
  • Loops: for and while loops.

Hands-on Exercises:

  • Build a basic calculator.
  • Write a program to find prime numbers in a given range.

Topics Covered:

  • Defining and Calling Functions.
  • Function Parameters, Return Values, and Scope.
  • Recursion and Lambda Functions.
  • Exception Handling with try, except, finally.

Hands-on Exercises:

  • Build a temperature converter (Celsius to Fahrenheit).
  • Create a program that handles division errors using try/except.

Topics Covered:

  • Lists, Tuples, and Dictionaries
  • Methods and Operations.
  • List Comprehensions and Dictionary Comprehensions.
  • Sets and Frozensets.
  • Sorting Algorithms (Bubble Sort, Quick Sort).
  • Searching Algorithms (Linear Search, Binary Search).

Hands-on Exercises:

  • Implement basic sorting algorithms.
  • Write a program that uses a dictionary to count the frequency of words in a text.

Topics Covered:

  • Classes and Objects.
  • Constructors and __init__ Method.
    Inheritance, Encapsulation, and Polymorphism.
  • Method Overloading and Overriding. Special Methods (__str__, __len__, etc.).

Hands-on Exercises:

  • Build a simple Bank Account system with deposit, withdrawal, and balance features.
  • Create a Shape class hierarchy with different shapes (Circle, Rectangle, Triangle) and calculate areas.

Topics Covered:

  • Reading from and Writing to Files.
    Working with CSV and JSON files.
  • Data Persistence with Pickle.
  • Basic SQL Database Interaction (SQLite) with Python.


Hands-on Exercises:

  • Create a Python program that reads a CSV file and converts it into a dictionary.
  • Build a simple contact management system using SQLite to store data.

Topics Covered:

  • Introduction to the Web:
    • How websites work: Client-Server Model
    • HTTP Protocol: Understanding requests and responses

  • HTML Basics:
    • Structure of an HTML document
    • Common HTML tags and elements (headings, paragraphs, lists, links, form
    • Understanding attributes and nesting
    • HTML Forms and Input Elements (important for web scraping)

  • CSS Basics:
    • Introduction to CSS for styling web pages
      Selectors and properties
    • Styling layouts: margin, padding, borders, etc.
    • CSS for positioning elements: Flexbox and Grid
    • Linking CSS files to HTML pages

Hands-on Exercise:

  • Create a simple webpage using HTML and CSS.

Topics Covered:

  • Introduction to JavaScript:
    • Understanding the role of JavaScript in web pages
    • Manipulating the DOM (Document Object Model)
    • Introduction to events: Clicks, forms, etc.
    • Fetching data with JavaScript (brief look at AJAX)
    • Basic JavaScript functions and variables

Hands-on Exercise:

  • Manipulate the content of the website created in module 6, with basic JavaScript functions.

Topics Covered:

  • Developer Tools:
    • Using browser developer tools (Chrome DevTools or Firefox Inspector) for inspecting HTML, CSS, and JavaScript
    • Inspecting elements, network requests, and JavaScript console

  • Introduction to Web Scraping Concepts:
    • The importance of HTML structure in web scraping
    • How web forms and dynamic content affect scraping
    • Preparing for Python’s web scraping libraries (BeautifulSoup, Selenium)


Hands-on Exercise:

  • Use browser developer tools to inspect and modify elements on popular websites.

Topics Covered:

  • Introduction to Web Scraping with BeautifulSoup and requests.
  • Parsing HTML and Navigating the DOM.
  • Basic Automation with Selenium.
  • Web Scraping Best Practices (Dealing with CAPTCHA, Rate Limiting).


Hands-on Exercises:

  • Build a web scraper to extract product prices from an e-commerce website.
  • Automate the process of logging into a website and extracting user data.

Topics Covered:

  • Basics of Web Frameworks: Introduction to Flask or Django.
  • Building a Simple Web Application with Flask/Django.
  • URL Routing and Templating.
  • Forms and Input Validation.


Hands-on Exercises:

  • Build a basic blog using Flask/Django.
  • Create a simple form to take user input and display results.

Topics Covered:

  • Introduction to NumPy for Array Manipulation.
  • Data Analysis with Pandas (Series, DataFrames).
  • Data Visualization with Matplotlib and Seaborn.
  • Basic Statistics (Mean, Median, Standard Deviation).


Hands-on Exercises:

  • Analyze a dataset (e.g., Titanic dataset) to find insights.
  • Plot a data distribution chart using Seaborn.

Please note:

  1. As deemed necessary, the curriculum outlined above may undergo further modifications, including additions or deletions. Regardless of the situation, these changes are intended to better fulfil the objectives of the program.
  2. The extra-curricular activities/sessions (e.g. leadership, soft skills, workshops etc.) are embedded across the learning path. Every session will be announced ahead.

End-of-Course Projects

  • Build a program that allows users to add, delete, and update items in an inventory, and generate reports on stock levels.
  • Create a web-based app that tracks daily expenses and generates monthly spending reports. Use SQLite for data persistence.
  • Develop a weather application that fetches and displays the current weather for a given location using an API (e.g., OpenWeatherMap). Include features like temperature, humidity, and weather conditions.
  • Choose a dataset from Kaggle and perform data cleaning, analysis, and visualization using Pandas and Matplotlib/Seaborn.
  • Build a text-based adventure game where players navigate through different scenarios by making choices. The game can include inventory management, multiple endings, and puzzles.
  • Create a multiple-choice quiz game that asks the user a series of questions and tracks their score. Include features like different categories of questions, a timer for each question, and feedback based on the user's answers.
  • Develop a calculator application that performs basic arithmetic operations and keeps a history of calculations. Users should be able to view, clear, and save the history to a file.
  • Develop a budget tracking application that allows users to input their income and expenses. The app should display a summary of spending categories and help users manage their budget
  • Create a personal diary or journal app where users can write and save their entries. Implement features like viewing past entries, searching by date, and password protection.

Develop a simple banking app that can manage basic features like account opening, cash deposits, cash withdrawals, transaction reports, etc. 

2-Month BootCamp Activities

Goal: Explore advanced Python concepts and libraries to deepen students’ skills.

Activities:

  1. Python for Automation (Scripting):
    Automate file renaming, sending emails, and generating reports using Python scripts.

  2. Advanced Object-Oriented Programming:
    Dive deeper into design patterns, decorators, and metaclasses in Python.

  3. Async Programming with asyncio:
    Introduce asynchronous programming in Python to handle real-time applications.

Goal: Encourage collaborative development and introduce students to contributing to open-source projects.

Activities:

  1. Team Project:
    Form teams to build a mid-level project (e.g., task management system, collaborative note-taking app).

  2. Contribute to an Open Source Project:
    Guide students on contributing to open-source Python projects on GitHub.

Goal: To engage participants in a 48-hour hackathon to build complete Python applications.

Hackathon Themes:

  • Data scraping and automation tool
  • Web-based analytics dashboard.
  • Automated testing frameworks.
  • Code Optimization & Debugging Techniques
    • Deep dives into debugging tools like pdb, logging, and testing.
    • Optimizing Python code for performance (e.g., using list comprehensions, generators).

  • Advanced Python Topics
    • Exploring Python decorators, context managers, and metaclasses.
    • Understanding concurrency (threads, async programming, and multiprocessing).

  • DevOps Basics for Python Developers
    • Introduction to Docker for containerizing Python apps.
    • Basics of CI/CD pipelines with Python (GitHub Actions, Travis CI).

  • Collaborative Open Source Project
    • Contributing to an open-source Python project.
    • Working in teams to develop a small software application using Git for version control.

Goal: To simulate real-world client interactions and requirements to provide industry-relevant experience.

Activities:

  1. Simulated Client Project:
    Work on a client-defined project such as an internal business dashboard or automation tools for data entry.

  2. Agile Methodologies:
    Introduce agile sprints, user stories, and iterations in the project.

Goal: Help students finalize their portfolios and prepare for job applications or freelance work.

Activities:

  1. Portfolio Review and Enhancement:
    Review Python projects and provide feedback on their portfolio structure.

  2. Mock Interviews and Coding Challenges:
    Mock interviews with Python-related technical questions will be conducted.

  3. Resume and LinkedIn Optimization:
    We will guide participants in showcasing their Python projects and skills effectively in resumes and online profiles.

  4. Workshops and Seminars:
    These will be held to help participants gain a deeper understanding of essential tech concepts and broaden their industry knowledge during the bootcamp.

Please note:
Students/Learners must complete all bootcamp activities and tasks to qualify for certification. Themes for workshops and Topics for Seminars will be communicated in the course of the bootcamp.

System Requirements

  • A computer (Windows, macOS, or Linux).
  • A text editor (such as VSCode, Sublime Text, or Atom).
  • A web browser (latest versions of Chrome, Firefox, or Safari).
  • Internet connection for live classes and pre-recorded lessons.
  • Operating System:
    • Windows 10 (64-bit)
    • macOS 10.13+, or
    • Linux (any modern distribution)

  • Processor:
    Intel Core i3 or AMD equivalent (or higher)

  • Memory (RAM):
    Minimum 4 GB of RAM (8 GB recommended for smoother performance)

  • Storage:
    At least 10 GB of free storage for installing Python, IDEs, and libraries

  • Display:
    Minimum resolution of 1366 x 768 (Full HD 1920 x 1080 recommended)

  • Internet Connection:
    Required for downloading Python, libraries, and additional tools; a stable connection is also needed for online course materials and live sessions.
  • Python: Version 3.6+
    Download from Python's official website.

  • Code Editor/IDE:
    VSCode, PyCharm, or Jupyter Notebook (VSCode and PyCharm are lightweight and widely used for Python programming).

  • Git (Recommended):
    Useful for version control and project management, can be downloaded from Git's website.

  • Web Browser:
    Latest versions of Chrome, Firefox, or Safari to access online tools, documentation, and course content.

FAQs

At Emostel Academy, Course Onboarding is the process we use to ensure every participant is fully prepared to begin their learning journey. During the onboarding period, we provide guidance on how to navigate our platform, introduce the tools and resources needed for your course, and help you get comfortable with the learning environment. This is also when we address any questions about the course structure, expectations, and provide key tips for success.

Our goal is to equip you with everything you need to start your course confidently and maximize your learning experience.

We have pre-recorded sessions (released weekly) and are supported by live sessions (which are held twice a week).

Every live session is recorded and then posted to the learners' portal. This would be useful for anyone who missed the class to access them later. The recording also aids in further learning and revision.

Apart from the recorded and live sessions, we add our learners to communities based on their courses, allowing them to interact with course instructors, community moderators, and fellow learners, who are always available to help with any issues relating to the course. Learners may also directly contact their instructors via email and other communication channels provided.

For a more personalized experience, you may subscribe to our Private Training Services. This is however optional, it comes at an extra cost and is based on request.

Our extracurricular activities encompass a variety of training workshops aimed at providing students with an advantage beyond the standard course curriculum. Participants in these workshops will develop leadership abilities and essential soft skills, which are crucial for success in their immediate surroundings, including home, school environments, and social settings.

These workshops are typically scheduled for weekends, with dates distributed throughout the program's duration and announced according to schedule. Similar to regular live classroom sessions, these workshops are recorded for later reference and participants are allowed to interact freely with their peers and facilitators.

More advanced workshops are slated for our bootcamp.

While the course includes live classes twice a week, students have daily access to the learning portal and learners' community. Here, they can reach out to our readily available online tutors via email for support. Additionally, they can connect with tutors through the learners' community or use the designated spaces in the learning portal to post support requests.

Participant can also drop snapshots of their issues or questions into the community to allow our tutors or other learners render necessary help.

When learners help fellow learners, it serves as a practice or exercise which helps them understand and advance better in their learning. The problems resolved and the steps taken for resolution would also be useful to other learners in the community as well.

Access to the course will expire six months after release, but technical support for participants will be available for 12 months, and community access is lifetime.

This 12-month technical support applies solely to the chosen course. 

For further inquiries, please contact us via our helplines or at study@emoselacademy.org

Each course you enroll in will appear in your personal learner's portal and can be accessed via the "My Courses" tab on your dashboard.

You will receive your login details in the course access email.

At Emostel Academy, the main course of the s-Dev Program provides foundational knowledge and skills in your chosen field, whether it's Python Programming, Frontend Web Development, or Full Stack Development. These courses are delivered through a mix of pre-recorded lessons and live sessions, where participants gain in-depth theoretical understanding and hands-on practice over several weeks.

The bootcamp, on the other hand, is an intensive, post-course training designed to push participants beyond the basics. It focuses on advanced problem-solving, real-world projects, and industry-relevant challenges. While the main course builds your knowledge, the bootcamp is where you apply that knowledge under guidance, preparing you to handle complex, real-world scenarios in the tech industry. The bootcamp accelerates your skills, ensuring you're ready for the job market or further specialization.

An internship is a work-based experience where participants join a company or organization to apply their knowledge and skills in a professional setting. It emphasizes real-world tasks and projects, allowing participants to gain insight into industry workflows and workplace culture. While learning continues during an internship, the focus is primarily on applying knowledge in a real job setting, often with less structured mentorship compared to a classroom environment.

A bootcamp, on the other hand, is an intensive learning experience designed to rapidly advance participants' skills in a specific area. It is more structured and educational, focusing on advanced hands-on training, often with challenging projects meant to simulate real-world scenarios. In a bootcamp, the emphasis is on learning new skills or deepening existing ones, often through guided instruction, mentorship, and challenging projects designed for learning, not production. 

At Emostel Academy, we believe in rewarding excellence. Our internship slots are not just handed out—they are earned. Only top-performing participants who demonstrate exceptional dedication, skill, and passion throughout our programs will be considered for internships.

Our internship placements are designed to prepare you for the competitive job market, offering you the chance to work alongside industry professionals and build your portfolio.

The placements may be with external organizations (such as Banks, start-ups, etc.) or with our parent company ESDL (Emostel Skills and Development LTD.)

We do not guarantee entry-level job placements; however, participants who successfully complete the internship program will be considered for any job opportunities that arise. Only those who excel during the internship will be offered positions if such openings become available.

Participants who complete the Python Programming course will be awarded a certificate of achievement.

To earn this certificate, one must complete all course modules and tasks, and achieve a passing mark on quizzes. In addition, they must submit an end-of-course project that passes assessment and approval. The final requirement is that each participant complete the BootCamp and all functions involved.

The internship is not a mandatory requirement to get our certificate.

The course access is priced at ₦500,000. However, as a way to make this program more accessible to people of various financial stand, especially due to the current economic issues, Emostel Skills and Development LTD. has offered an 80% discount. However, this discount amount only holds for those who pay one-off. Other discount amount applies to those who choose other payment plans. 

We have a limited number of students that we can take at a time, in order to ensure a maximum level of attention and commitment. Once the slots are filled out, we will stop the discounted application and only those who would pay the actual amount for the program will be given an extended enrolment window.

See the next FAQ drop-down for information about payment plans.

For requests/orders, transaction issues, or further assistance regarding your payment, please contact us via sales@emostelacademy.org or via SMS/WhatsApp at +2349077471007 or via Phone Call at +2348141897754

  1. One-time Payment:
    This plan attracts the full 80% discount offer. You get to pay just ₦100,000 only, instead of ₦500,000.

  2. Two-times Payment:
    In this payment plan, you have 78% off. So, you pay a sum of ₦55,000 two times across your program (or at least 3 months after the first instalment) to make a total of ₦110,000.

     

  3. Monthly Payment:
    In this plan, you pay a sum of ₦20,000 monthly until you pay a total of ₦120,000 in 6 months. This gives you an opportunity of 76% off the normal cost of this course.

  4. Commit now and balance later:
    In this plan, you are required to make a commitment of ₦20,000 before gaining access to the course, and then spread a balance of ₦180,000 across 12 months. This allows for more time, opportunities, and convenience for payment. Due to the factors surrounding this option, the discount offer is only 60%. So, you get to pay a total of ₦200,000 instead of ₦500,000 for this course. We have an empowerment scheme arranged to help learners who subscribe to this plan secure jobs/gigs that can enable them to pay up their balance in a timely manner. More discussions on this during the onboarding sessions. 

Once you choose a plan that is convenient for you, you can then proceed to make payments. Our sales team will communicate and follow up with you based on your chosen payment plan.

You may still apply for this course even when you are not yet ready to pay.

Payment of any convenient amount will guarantee you a slot in the onboarding weeks of the program, and payment in your selected plan (as described above) guarantees you a slot in the program itself, unless the slots are full.

  1. Click on "Join Course" or use the "Enroll in this course" button below.

  2. Fill out the application form and submit it. An email will be sent to you to confirm the application and provide you with your login details, payment options, and other essential information.

  3. Make payment for the course via the available channels provided.

  4. Once your payment is received, you will be granted an access to the chosen course and an email will be sent to you containing the course access details and any other relevant information.

If you cannot access the course within 24hrs, please contact us via sales@emostelacademy.org or via SMS/WhatsApp at +2348141897754 or Phone Call at +2349077471007

Please visit https://emostelacademy.org/faq for more frequently asked questions regarding our mode of class delivery and other relevant information, or contact our support team via email: support@emostelacademy.org or have a WhatsApp chat with us at +2349077471007

If you wish to learn more about us (who we are, where we are, what we do, etc.), please Click Here

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