Python Fundamentals: Operations & Data Analytics

The best introduction to the fundamentals of Python
Rating: 4.1 out of 5 (27 ratings)
5,489 students
Python Fundamentals: Operations & Data Analytics
Rating: 4.1 out of 5 (27 ratings)
5,490 students
How to use Jupyter Notebooks to create Python code
The different data types which are present in Python
How to carry out basic string and numeric operations
How to utilise different structures/series in Python, such as Lists, Tuples and Dictionaries
How to apply conditions to Python operations by using the ‘If’ statement
How to create iterative operations and loops in Python by using the ‘While’ and ‘For’ statements
An insight into carrying out data analytics operations by using the Pandas module
How to navigate through a data set
How to apply filters to a data set
How to aggregate data to see summarised reports
How to join two tables together and understanding their relationships

Requirements

  • There are no pre-requisites required for this course!
  • We will be using Jupyter Notebooks, but an installation and navigation walkthrough will be covered in the course :)
Description

Join this course and you will learn how to use Python to carry out basic operations and basic data analytics operations.

The course will start you off from the basics to where you then more complex topics.

You will have lifetime access to this course and best of all, it is free, so why not jump in and start learning Python?

Who this course is for:
  • Beginner Python developers, curious about data analytics and data science
  • Anyone who wants an insight into Python and how to carry out basic operations and apply basic data analytics practises
Course content
5 sections • 25 lectures • 1h 57m total length
  • Introduction & Resources to Python Fundamentals Course
    02:24
  • Installing Anaconda
    01:31
  • Using Jupyter Notebook (for Microsoft Windows)
    03:06
  • Section Introduction: Operations and Data Structure
    00:29
  • Functions & Methods Overview
    04:05
  • Data Types in Python
    04:30
  • Mathematical Operations
    05:22
  • String Operations
    08:23
  • Lists
    07:13
  • Tuples
    05:29
  • Dictionary
    05:12
  • Section Summary: Data Types, Operations, Variables, and Data Structures
    01:50
  • Section Overview
    00:25
  • The 'IF' Statement
    08:04
  • The 'WHILE' Statement
    13:51
  • The 'FOR' Statement
    06:05
  • Section Summary: The 'IF', 'WHILE', and 'FOR' Statements
    02:08
  • Section Overview
    00:32
  • Importing Data
    05:27
  • Filtering Data
    09:22
  • Sorting Data
    04:25
  • Aggregating Data
    07:16
  • Joining Data
    05:19
  • Section Summary: Importing, Filtering, Sorting, Aggregating, and Joining Data
    03:38
  • Bonus Lecture
    01:08

Instructor
Technology-based analytics company
Data Civilisation
  • 4.4 Instructor Rating
  • 400 Reviews
  • 14,040 Students
  • 7 Courses

Data Civilisation is a technology-based analytics company, aiming to bring keen and curious learners together.

We aim to provide only the best quality content, to help our learners along their journey of becoming experienced data analysts.

Data Civilisation was founded by two data analysts who started their careers in the largest professional service consultancy firms. They work with various tools, such as SQL, PowerBI, and Python and have over seven years of combined experience in analytics.