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Python For Everyone
Through structured modules and guided exercises, learners will gain the ability to import, clean, analyze, and visualize real-world datasets, including industry-standard examples such as FIFA and Wine. The program emphasizes both conceptual understanding and practical application, ensuring participants are equipped with the analytical skills required in academic, professional, and industry contexts.
Designed for beginners and early-career professionals, the course prepares learners for further advancement in machine learning, artificial intelligence, and advanced analytics. By the conclusion, participants will possess the competence to independently conduct fundamental data analysis using Python.
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About This Course
This course provides a comprehensive introduction to Python programming with a focus on data analytics. Beginning with the fundamentals of coding, learners will develop a strong understanding of variables, data types, conditions, loops, functions, and error handling. Building on this foundation, the course advances to essential data analysis libraries, including pandas for data manipulation and Matplotlib for visualization.
Through practical exercises, guided projects, and real-world datasets such as FIFA , Employees, and Wine, participants will gain the ability to clean, analyze, and present data effectively. Designed for beginners, the program combines step-by-step instruction with applied practice to ensure learners build both confidence and competence.
By the end of the course, participants will be equipped with the technical skills to perform meaningful data analysis and will be prepared to progress into more advanced fields such as machine learning and artificial intelligence.
💻 REQUIRED TOOL: Jupyter Notebook or Anaconda
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Curriculum Overview
This course includes 6 modules, 37 lessons, and 0 hours of materials.
This video explains the step-by-step processes involved in solving assignments in your Jupyter notebooks.
It talks about, downloading the file, opening it up in your Jupyter and solving it.
This is our first assignment. It is a Jupyter notebook so you have to download and open it in Jupyter.
Please refer to "Lesson 0 - How to Solve Assignments" in this module on a detailed explanation on how to go about Assignments.
This is an optional practical of using Slicing for cropping images. If you want to go a step further and explore using slicing for cropping, then you can go ahead. If not you can move on to the next module.
This link contains a video that explains how to go about this step-by-step. After watching it, you can download the Jupyter notebook containing the assignment / exercise and the picture to crop ("lady.jpg")
This is the sample data used i n the slicing for cropping practical session
This assignment is for you to apply conditional statements to create an Exam Grading System.
Download the Jupyter Notebook and try your hands on it. All the instructions are in the notebook.
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