Basic Python for Data Science

• Lectures 23
• Projects YES
• Duration 42 hours
• Skill level Beginner
• Language ENGLISH
• Assessments YES

Course Description

The Basic Python for Data Science course at the Vocational Training Institute of Creative Computer Specialists is designed to equip students with the essential Python programming skills needed to kickstart their journey in data science. This beginner-friendly course introduces students to Python's core concepts, tools, and libraries, focusing on applications in data manipulation, analysis, and visualization. With Python as the foundation, students will develop the technical competence and confidence to advance into more complex areas of data science and analytics.

Key Learning Outcomes:

By the end of this course, students will:

1. Master Python Basics for Data Science: Understand the Python language's core syntax, data types, control structures, and functions essential for data science applications.
2. Work with Data Structures: Learn to use Python’s built-in data structures (lists, tuples, dictionaries, sets) and understand how to select the right structure for various data-related tasks.
3. Manipulate Data with Pandas: Gain hands-on experience with the Pandas library, a powerful tool for data manipulation, allowing students to load, clean, filter, and transform datasets effectively.
4. Perform Data Analysis with NumPy: Utilize the NumPy library to perform mathematical and statistical operations on large datasets, working with arrays and matrices for faster data computations.
5. Visualize Data with Matplotlib and Seaborn: Learn to create compelling data visualizations, including charts, graphs, and histograms, using Matplotlib and Seaborn to communicate insights.
6. Understand Basic Data Science Workflow: Develop an understanding of the essential steps in a data science project, from data collection and preprocessing to analysis and visualization.
7. Apply Python Skills in Data Science Projects: Put theory into practice through interactive exercises, projects, and assignments that involve real-world datasets, allowing students to solve practical data science problems.

Methodology:

The course is 100% practical and delivered through hands-on coding exercises, interactive sessions, and guided projects. Each module includes assignments and quizzes to reinforce learning, while end-of-course projects help students consolidate their skills and gain real-world experience with Python in data science contexts.

Target Audience:

This course is ideal for high school graduates, professionals, and entrepreneurs from Buea and other regions of Cameroon interested in starting a career in data science or enhancing their analytical skills using Python.

Course Duration: 9 - 12 months, with flexible in-person, online, and hybrid learning options.