The Python Programming A-Z Definitive Diploma

The Hands-On Guide to Master Modern Python and Data, to Advance your Dev and Data Career in no time!

4.36 (3136 reviews)

Udemy

platform

English

language

Programming Languages

What you will learn

Basic and Advanced Python concepts to become a Rockstar Python Developer

Python tools, keywords, best Practicing, high level descriptions

All bout Variables, Data Types, Literals, Techniques, Importing and Formatting.

Hands-on different types of Operations, Decision Making and Repetitive execution for sequences

Designing Data Structures

The Design of Functional Programs

Object-oriented design Principles

Files Handling, Modules and its Operations

Scientific computing for Data with NumPy

Data Visualization with Matplotlib and pyplot

Using Databases with Python

Loading charts...

Comidoc Review

Our Verdict

Uncover modern Python and data expertise with the Python Programming A-Z Definitive Diploma—an engaging, hands-on journey bolstered by community support. Enhance your résumé and career with versatile skills spanning basic concepts to visualization tools like NumPy and Matplotlib. Remember, though, that this course's depth may vary and supplemental resources might be required to truly master some topics.

What We Liked

The course offers a comprehensive coverage of both basic and advanced Python concepts, including data visualization with Matplotlib, scientific computing with NumPy, and files handling.
The instructor's practical approach is appreciated, providing hands-on examples and exercises that reinforce learning and retention.
The course content is well-structured, beginning with foundational topics before delving into more complex subjects. The pacing matches the needs of beginners while also offering challenges for those with some prior programming experience.
A strong community support aspect exists within the course, enabling students to overcome frustrations and seek guidance when needed.

Potential Drawbacks

While the instructor explains concepts clearly, their calm voice may come across as monotonous and slightly boring to certain learners.
Some users find the course content shallow in certain areas, particularly the introduction of advanced topics like data visualization. Complementary sources might be necessary for a deeper understanding.
A few students feel that concepts aren't always clearly explained by the instructor, which can lead to difficulties in grasping particular topics.
The materials provided could benefit from improvement, as they may appear basic or lacking in some sections. Additionally, quiz questions might sometimes require external research for completion.