PYTHON FOR DATA SCIENCE (Classroom & Asynchronous e-Learning)
About This Course
This course aims to teach basic programming skills using Python, including variable types, operations, user input/output, logic, loops, functions, and object-oriented programming. Students also explore advanced Python concepts, learn to manage project files, and perform basic error handling and testing. Through hands-on activities, students apply recommended programming practices including documentation and naming conventions to build coding solutions using python.
What You'll Learn
Entry Requirements
• Passion for Programming.
• Intend to seek a career switch in the Data Analytics Vertical
• Minimum Education Level – N Level
• Work Experience (No. of Years) – N.A
• Age - 18 years and Above
• Language (Written) – English Language (Spoken) – English
• Language (Written) – English
• Workplace Literacy and Numeracy Level (WPLN) >= 6
• Computer Skills
Basic Knowledge of Computers
• Start-up, log on, and shut down a computer system properly.
• Use a mouse pointing device and keyboard.
• Identify and use icons (folders, files, applications, and shortcuts/aliases)
• Minimize, maximize, and move windows.
• Check how much space is left on a drive or other storage device.
Proficiency in Using Productivity Software
• Understand and know how to use the following types of software programs:
• Word processing (example: MS Word, Google Doc, Writer)
• Presentation (example: PowerPoint, Impress)
• Compression software (example: WinZip, Stuff It)
Moving Files
• Transfer files