WelediAcademy
Courses

Python Programming

Mon 9 Mar – Sun 15 Mar · weekdays 19:00–21:00 · Online

  • BRIGHTIUS RESPICIUS KALOKOLA
TZS 30,000

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About

Python Fundamentals 1. Installing and Exploring Working Environment 2. Variables and Data Types 3. Operators and Control Structures 4. Lists, Tuples and Dictionaries 5. Functions 6. Classes 7. Datq Structures, Files and Exceptions

Applications of Python 8. Data Visualisations and Manipulation 9. Machine Learning 10. Introduction to Django for Web Development

Timetable April 27, 2024 - Installation and Setting up the Working Environment April 28, 2024 - Variables and Data Types April 29, 2024 - Operators and Control Structures April 30, 2024 - Functions and Classes May 1, 2024 - Worker's Day (NO CLASS) May 2, 2024 - Data Structures, Files and Exceptions May 3, 2024 - Data Visualisations and Manipulation May 4, 2024 - Machine Learning May 5, 2024 - Introduction to Django for Web Development May 6, 2024 - Questions and Answers

About Python Programming

By enrolling in my Python course, you'll unlock a world of career opportunities in data science, machine learning, web development, automation, and more.

With hands-on learning covering everything from basic syntax to advanced topics like machine learning and web development with Django, you'll gain the skills needed to secure lucrative roles in tech companies, startups, and beyond.

Python developers are in high demand, commanding competitive salaries and enjoying continuous learning and growth in a dynamic field. Don't miss out on the chance to kickstart your career in Python programming and pave the way for a successful future.

Join our class today and embark on an exciting journey towards professional success!

  1. Installing and Exploring Working Environment
  2. Variables and Data Types
  3. Operators and Control Structures
  4. Data Structures (Lists, Tuples and Dictionaries)
  5. Functions
  6. Classes
  7. Data Structures, Files and Exceptions

Applications of Python 8. Data Visualisations and Manipulation 9. Machine Learning Basics

15 hours