What you'll get
- 30+ Hours
- 9 Courses
- Mock Tests
- Course Completion Certificates
- Self-paced Courses
- Technical Support
- Case Studies
Synopsis
- Advance from a Python beginner to a confident programmer with a strong grasp of core concepts and their practical use.
- Build hands-on experience with coding exercises and end-of-section challenges to reinforce your learning.
- Gain essential Python skills for Data Science, AI, Machine Learning, and web development.
- Learn to install Python and write your first program.
- Understand and use basic Python structures such as strings, lists, and dictionaries.
- Become familiar with Jupyter Notebooks and learn to work with .py files.
- Create and use functions, including lambda functions.
- Explore object-oriented programming, including classes and their relationship to objects.
Content
| Courses | No. of Hours | Certificates | Details |
|---|---|---|---|
| Python:01 - Python Fundamentals | 4h 33m | ✔ | View Curriculum |
| Python:02 - Dictionaries, Conditions and Loops | 3h 06m | ✔ | View Curriculum |
| Python:03 - Abstraction, Exceptions and Iterations | 5h 09m | ✔ | View Curriculum |
| Python:04 - Libraries, GUI, Database & Networking | 3h 5m | ✔ | View Curriculum |
| Python:05 - Advanced GUI, Networking and Web | 4h 19m | ✔ | View Curriculum |
| Python:06 - Testing, Extending Python and Packaging Programs | 3h 21m | ✔ | View Curriculum |
| Courses | No. of Hours | Certificates | Details |
|---|---|---|---|
| Project on Linear Regression in Python | 2h 28m | ✔ | View Curriculum |
| Sentiment Analysis with Python | 57m | ✔ | View Curriculum |
| Cryptography using Python | 5h 16m | ✔ | View Curriculum |
| Courses | No. of Hours | Certificates | Details |
|---|---|---|---|
| No courses found in this category. | |||
Description
This Python course goes beyond coding by developing problem-solving skills, giving learners a strong advantage in data science, AI, web development, big data, web testing, and smart device programming.
The course stands out for several reasons:
- Lectures are engaging, informative, and designed to inspire learners to explore Python.
- Instruction is enthusiastic, motivating, and effective, reflecting a genuine passion for Python and teaching.
- Participants develop a thorough understanding of Python’s core concepts and practical applications.
- Each lecture is carefully structured and produced to a high standard to support effective learning.
- The course emphasizes hands-on practice, offering numerous exercises to reinforce and master Python programming concepts.
Requirements
- The course welcomes learners at all levels, beginning with fundamental concepts.
- Students will receive step-by-step guidance to install the free Anaconda package.
- A computer is the only requirement. Anaconda works with Windows, macOS, and Linux.
Target Audience
- Perfect for beginners with no programming background who are ready to start their Python journey.
- Suitable for programmers experienced in other languages who wish to transition to Python 3.
- Designed for Python developers seeking to improve coding practices and best practices.
- Perfect for those interested in learning one of the fastest-growing and most popular programming languages.
- Beneficial for learners aiming for careers in data science, web development, big data, web testing, or Python-driven AI roles.
- Tailored for beginners eager to build a strong foundation in Python programming.
