Introduction to Python Learning Path

In this exciting introductory path on Python, you will learn the codes, programs, and various functions that will help you store, manage and analyze data.

7 hours, 30 minutes

Quick facts

About this learning path

  • 9 courses

    100% online

  • Duration

    7 hours, 30 minutes

  • Assessment

    31 questions

About Introduction to Python

In this path, Dartanion Swift will teach you how to solve real-world problems with Python. Python can help you efficiently store and organize data once you know a bit of code and some basic programs. You will be introduced to the basics of Pandas, Series, DataFrames, and how to use arguments and functions. Finally, Dartanion will show you how to create Python projects from command prompts and integrated development environments and use automation and loops to manage repetitive tasks.

Syllabus

Introduction to Python skill assessment

Assessment - 31 questions

Introducing Python

Course - 00:34:00

Learn how companies and organizations use Python to solve real-world problems and gain a competitive edge.​ Explore the exciting world of data analytics and see how Python is used to gain insights and make informed decisions.​ Discover how this platform can help you learn the most in-demand skills and enter the field with confidence.​

Python Loops

Course - 00:34:00

Discover the power of for and while loops to control the flow of your code to achieve powerful, dynamic results.​ Gain an understanding of the for loops, while loops, and using break, continue, and pass statements to control flow. These tools will help you create real-world programs with Python.​

Introduction to Python Data Structures

Course - 00:29:00

Are you ready to take your Python skills to the next level? In this exciting journey, you'll discover the power of Python lists, tuples, and sets!​ From understanding the fundamentals of lists, to mastering the intricacies of tuples and sets, you'll gain a comprehensive understanding of how to use these data structures to solve real-world problems. ​

Python Dictionaries

Course - 00:41:00

Dictionaries are one of the most powerful data structures in Python. Learn how to use them to store and retrieve data in key-value pairs.

Advanced Concepts with Data Structures

Course - 00:21:00

Let’s get into advanced concepts. In this course, we will use lists of dictionaries, dictionaries of lists, and list comprehensions to combine it and automate data manipulation. Dartanion does a deep dive into advanced concepts with data structures to achieve automation.

Python Functions

Course - 00:41:00

Python functions are reusable chunks of code that perform a specific task, making your code more organized and efficient. They help prevent repetitive code, making it easier to maintain and troubleshoot your programs.​ You can pass different types of data, such as strings, numbers, lists, or dictionaries, as arguments to a function.​

Introduction to Pandas

Course - 01:14:00

Pandas is a user-friendly Python library designed for data manipulation and analysis tasks, making it a useful tool for anyone working with data. With Pandas, you can easily load, clean, transform, and visualize large datasets using its two main data structures: series and DataFrames.

Working with DataFrames

Course - 01:34:00

A DataFrame is similar to a table in a spreadsheet, consisting of rows and columns, with each cell containing a data value.​ You can create a DataFrame by importing data from various sources, such as CSV or Excel files, or by manually defining the data using dictionaries or lists.​ DataFrames allow you to perform various operations, such as filtering, sorting, and grouping data, as well as calculating statistical measures.​

Data Processing with Pandas

Course - 01:21:00

For business applications, you want to position your programs to be flexible and eliminate hard-coded values.​ Most user-interfaces allow users to enter values and processes data on the backend.​ Good user interfaces check for valid values and return an error if exceptions are detected.​

The details

Learning path insights

Prerequisites

In this exciting introductory path on Python, you will learn the codes, programs, and various functions that will help you store, manage and analyze data.

How to claim CPEs

Should you complete this learning path, you’ll be able to download a certificate of completion. Use this to claim your CPEs or CPUs.

Associated NICE Work Roles

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  • Vulnerability Assessment Analyst
  • Security Architect
  • Software Developer

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