Course Description

Python for Data Science, AI & Development

Python is one of the most popular languages in the programming and data science world and demand for individuals who have the ability to apply Python has never been higher. This introduction to Python course will take you from zero to programming in Python in a matter of hours—no prior programming experience necessary! You will learn about Python basics and the different data types. You will familiarize yourself with Python Data structures like List and Tuples, as well as logic concepts like conditions and branching. You will use Python libraries such as Pandas, Numpy & Beautiful Soup. You’ll also use Python to perform tasks such as data collection and web scraping with APIs. You will practice and apply what you learn through hands-on labs using Jupyter Notebooks. By the end of this course, you’ll feel comfortable creating basic programs, working with data, and automating real-world tasks using Python. This course is suitable for anyone who wants to learn Data Science, Data Analytics, Software Development, Data Engineering, AI, and DevOps as well as a number of other job roles.

Provider

coursera

Target

  • Beginners with no prior programming experience
  • Individuals interested in Data Science
  • Individuals interested in Data Analytics
  • Aspiring Software Developers
  • Aspiring Data Engineers
  • Individuals focusing on AI and Machine Learning
  • Professionals interested in DevOps

Sector

  • Technology
  • Education
  • Data Science
  • Software Development
  • Artificial Intelligence

Area

  • Programming (Python)
  • Data Analysis
  • Data Engineering
  • Web Development (Web Scraping)
  • Automation

Method

Online

Certification

Yes

Duration

Approx. 25 hours

Assessment

No

Cost

Learning Outcomes

  • Technology
  • Education
  • Data Science
  • Software Development
  • Artificial Intelligence
  • Technology
  • Education
  • Data Science
  • Software Development
  • Artificial Intelligence

Learning Content

  • Python Basic
  • Python Data Structures
  • Python Programming Fundamentals
  • Working with Data in Python
  • Apla and Data Collection