Python for Data Science, AI and Development

Build your knowledge of the fundamentals in Python programming. Solve real-world problems in Python through hands-on exercises.

Course Description

With the power of data science and AI at their fingertips, businesses are gaining valuable insights through the manipulation of large pools of data. By utilising an important set of skills, data scientists are presenting organisations with crucial information that gives them a competitive edge. However, in order to be able to explore and analyse this data quickly and accurately, data scientists need expertise in languages such as Python. This means individuals who have these skills are now in high-demand.

In this course, you will be introduced to the fundamentals of Python, what it is, and how it is used. You learn how to define variables, sets, and conditional statements. You will discover the purpose of functions in Python. Plus, you will learn how to use pandas, and how to operate on files to read and write data in Python.

For ambitious individuals seeking to excel in the fields of data science and AI, mastering Python is a critical step for a successful career. This course will introduce you to the fundamentals of this key competence and enable you to move towards your goal.

Target Audience

This course is suitable for learners with both technical and non-technical backgrounds.

The course is specifically aimed at:

1. Individuals who are keen to begin their career in data science or artificial intelligence.
2. College graduates looking to land their first data science or AI job.
3. Experienced developers seeking to upskill, enhance their data science and AI knowledge, and participate in projects

The course consists of:

1. Discussions
2. Video presentations
3. Assessment Strategies

Student mastery of learning outcomes will be assessed using:

1. Programming labs
2. Quizzes /Tests
3. Discussion participation on topics related to the Android programming environment and Android application marketplace.

Requirements

1. Computer application basics
2. Familiarity with Jupyter Notebook.
3. Personal Computer with a mouse A laptop, 4GB RAM minimum, i3/Dual Core , 64 bit OS