WelediAcademy
Courses

Python Programming

Mon 23 Mar – Fri 3 Apr · weekdays 19:00–21:00 · Online

  • Brightius Kalokola
TZS 30,000

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About

Course Coverage 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. Data Structures, Files and Exceptions

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

Timetable August 04, 2024 - Installation and Setting up the Working Environment August 05, 2024 - Variables and Data Types August 06, 2024 - Operators and Control Structures August 07, 2024 - Functions August 08, 2024 - Nane Nane Day August 09, 2024 - Classes August 10, 2024 - Data Structures August 11, 2024 - Files and Exceptions August 12, 2024 - Data Visualisations August 13, 2024 - Data Manipulation August 14, 2024 - Machine Learning Basics August 15, 2024 - Introduction to Django for Web Development August 16, 2024 - Questions and Answers August 17, 2024 - Applications of Python

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