Learn How to Master Python Programming for Data Science

From 44.22 C$ /h

I specialize in tutoring computer science and information technology. I hold a PhD degree in Information Systems and a postgraduate diploma in education. I want to make python programming much easier for students by offering it. I want to make students to understand python programming as a way to become data scientist. The student will be able to do many exercises during the lessons to enhance the student's ability to understand the programming language.

The course is about introducing learners to python programming. Student swill understand the data science basics, variables assignment in python, functions, Lists, and numpy arrays. The course is to prepare students to be able to further their studies in intermediate python and more advanced topics in python and data science.

Extra information

Bring your own laptop so that you can perform the exercises during the lessons.

Location

Online from South Africa

About Me

Hi students, I am an experienced tutor in computer science and python programming. I welcome students who are interested in learning computer science and python programming. As a tutor, I promote learning, spark learner enthusiasm for learning and provide a strong foundation for lifelong learning. I will design my lessons in such a way that it will be easier for students to learn and understand easily. I will provide exercises during the lessons for the student to have practical knowledge of what is being taught.

I had taught in many schools and tertiary institutions and I have the skills and knowledge to teach these courses efficiently. I will teach students with clarity, passion, empathy and sincere enthusiasm, so as to make learners connect to their passion. I am very committed to providing a learning environment that is exciting and the one that empowers both student and tutor. Above all, I treat all my students with the utmost respect, creating an environment where students feel safe to candidly discuss their challenges about the course.

Education

PhD Information Systems, University of South Africa, 2016
Master in Information Technology, University of Pretoria, 2003
Honours BSc Information Systems, University of South Africa, 2000

Experience / Qualifications

Lecturer in various universities in South Africa. Tutor in High school in South Africa. I taught courses like Introduction to Computer Science, Management Information Systems, Python Programming etc.

Age

Children (7-12 years old)

Teenagers (13-17 years old)

Adults (18-64 years old)

Seniors (65+ years old)

Student level

Beginner

Intermediate

Duration

120 minutes

The class is taught in

English

Skills

Computer science

Python

Information technology

Availability of a typical week

(GMT -05:00)

New York

Online via webcam

Mon

Tue

Wed

Thu

Fri

Sat

Sun

00-04

04-08

08-12

12-16

16-20

20-24

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Full-stack application deployed to AWS
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Courses Offered

1. Basic Python Programming
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Topics include:
Introduction to Python and environment setup
Variables and data types
Operators and expressions
Conditional statements
Types of loops and loop control
Functions and scope
Data structures: lists, tuples, sets, and dictionaries
Mini projects and problem-solving exercises

2. Advanced Python Programming
This course is designed for learners who already know the basics of Python and want to explore its advanced features.
Topics include:
Lambda functions and list comprehensions
Generators, yield, and closures
Decorators
Object-Oriented Programming (classes, inheritance, polymorphism, encapsulation)
File handling and exception handling
Mini projects integrating multiple concepts

3. Data Analysis Using Python (NumPy and Pandas)
This course introduces essential tools for data manipulation and analysis using Python libraries.
Topics include:
Working with NumPy arrays
Using Pandas DataFrames and Series
Data cleaning, filtering, and transformation
Handling missing values and duplicates
Grouping, aggregation, and pivot tables
Exporting data to CSV and Excel
Real-world exercises with sample datasets

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