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Introduction to Python Programming (for Data Analytics)
Rating: 4.2 out of 5(258 ratings)
10,928 students

Introduction to Python Programming (for Data Analytics)

Learn the fundamentals of the python programming language for data analytics. Practice and solution resources included.
Created byValentine Mwangi
Last updated 10/2023
English
English [Auto],

What you'll learn

  • To demonstrate the use of the print function to display the output of a python program.
  • To demonstrate the use of variables to store data in a python program.
  • To demonstrate the use of comments to provide explanations of how your code works.
  • To demonstrate the use of arithmetic operators in a python program.
  • To demonstrate the use of various data types through conversion.
  • To demonstrate the use of lists to store data in Python programs.
  • To demonstrate the use of conditional (if) statements.
  • To demonstrate the use of dictionaries in a python program.
  • To demonstrate the use of for loops in a python program.
  • To demonstrate the use of while loops in a python program.
  • To demonstrate the use of functions in a python program.

Explore related topics

Course content

11 sections • 16 lectures • 1h 47m total length

  • Introduction5:07

    The linked resource provides us with the course content outline for this course.

  • Learning Outcomes1:54

    Learn to use the print function to display Python output and create variables for data storage, then apply comments, arithmetic operators, data types, lists, dictionaries, sets, conditionals, loops, and functions.

  • Overview15:42

    Learn how Python is used for data analytics and software tasks, explore its mature ecosystem and libraries, and master fundamentals like comments, variables, data types, lists, dictionaries, loops, and functions.

  • Practice Environment Introduction7:48

    Explore the practice environment with notebooks, code cells, and text cells in Google Colab. Save a copy to Google Drive, connect to Google servers, and run code in the cloud.

Requirements

  • There are no pre-requisites for this course.
  • You will need a modern browser i.e. Google Chrome or Mozilla Firefox.

Description

This course equips learners with essential Python programming skills to become proficient in coding and problem-solving. By the course's conclusion, you will have a comprehensive grasp of key programming concepts and Python-specific techniques.

Firstly, you'll master the foundational skill of using the print() function to display program output, which is crucial for any Python developer. Building on this, you'll learn how to create variables to store and manipulate data, enabling you to work with information effectively.

Furthermore, the course delves into the importance of code documentation, teaching you how to write informative comments that explain your code's functionality. This clarity is invaluable for collaborative coding and maintaining projects over time.

The curriculum also covers arithmetic operators, allowing you to perform mathematical operations seamlessly within your Python programs. You'll understand different data types, including lists, dictionaries, and sets, which facilitate data organization and manipulation.

Conditional statements (if) and loops (for and while) are essential tools for controlling program flow, and this course provides in-depth guidance on implementing these constructs effectively.

Finally, you'll discover the power of functions in Python, enabling you to encapsulate and reuse code, enhancing the efficiency and maintainability of your programs.

Upon completing this course, you'll have a solid foundation in Python programming, enabling you to tackle a wide range of coding challenges with confidence.

Who this course is for:

  • This course is designed for professionals with an interest in getting hands-on experience with the respective data science techniques and tools.

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