Computer Science

Programming for Everybody (Getting Started with Python)

(0 reviews)
Share icon
Coursera

This beginner's course covers the fundamentals of Python programming, including essential abilities such as functions, loops, and variable utilization.

Key AI Functions:python syntax and semantics, basic programming language, computer programming, python programming, computer science

Description for Programming for Everybody (Getting Started with Python)

  • Installation of Python and Initial Program: Acquire knowledge about installing Python and composing a preliminary program to obtain practical expertise in coding.

  • Fundamental Principles of Python: Comprehend the principles of Python programming, encompassing grammar, structure, and foundational language concepts.

  • Manipulating Variables: Master the utilization of variables for the storage, retrieval, and manipulation of data, a fundamental principle in programming.

  • Programming Tools, Functions and Iterations: Acquire proficiency in fundamental programming techniques, including functions for reusability and loops for iteration.

Level: Beginner

Certification Degree: Yes

Languages the Course is Available: 24

Offered by: On Coursera provided by University of Michigan

Duration: 18 hours (approximately)

Schedule: Flexible

Reviews for Programming for Everybody (Getting Started with Python)

0 / 5

from 0 reviews

Ease of Use

Ease of Customization

Intuitive Interface

Value for Money

Support Team Responsiveness

Alternative Tools for Programming for Everybody (Getting Started with Python)

Discover how to use Rust to apply DevOps ideas, automate system chores, and put logging and monitoring in place for effective application deployment and operation.

#devops #rust
Visit icon

Gain an in-depth knowledge of fundamental concepts, including probability, vectors, calculus, and algebra, in order to establish a robust mathematical foundation for AI.

#r #machine learning
Visit icon

Gain an extensive understanding of the strategies for optimizing chatbot applications, integration with NLP/ML, and advanced ChatGPT prompting.

#artificial intelligence #prompt engineering
Visit icon

Acquire an in-depth knowledge of generative AI, its applications, and its models for the production of a variety of content.

#artificial intelligence #generative ai
Visit icon

Develop advanced AI techniques, including prompt engineering and chatbot development, as well as master large language models and their implementation on Google Cloud.

#artificial intelligence #data science
Visit icon

Through hyperparameter tuning, regularization, and TensorFlow application, this course emphasizes the optimization of machine learning models.

#tensorflow #python programming
Visit icon

This course offers an introduction to the fundamentals of Python 3, encompassing control structures and basic data structures to assist learners in developing practical programming abilities.

#data structure #python programming
Visit icon

This course provides practical experience with machine learning through case studies, concentrating on applying approaches across domains and laying the groundwork for deeper understanding of models and algorithms.

#python programming #machine learning concepts
Visit icon

With an emphasis on CI/CD, cloud architecture, and training workflows, this course covers MLOps technologies and best practices for installing, assessing, and running ML systems on Google Cloud.

#tensorflow #bigquery
Visit icon

Using Vertex AI and BigQuery ML, the course instructs students on how to improve data quality, construct AutoML models, and optimize models using performance metrics.

#tensorflow #python programming
Visit icon