Loading and reading text data in Python
Due to its simple syntax for interacting with files and intuitive data structures, Python has become the go-to language for text data. Pandas has several functions for reading tabular data …
Course: Introduction to Data Analytics with Python
Aligning, mapping, and sorting data in Pandas
As seen earlier, preparing data is the first step in data analysis. Data analysts can manipulate data for their data analysis using the align, map, and sort features in Pandas …
Indexing, selecting, and filtering in Pandas
At times, looking at just one particular subset of data might be beneficial for data analysts to draw conclusions or insights. In such cases, Pandas allows for indexing, selecting, and …
Data ingestion: Transporting data from source to storage
Through the video, you would have learned about what data ingestion is, the different sources of data, the two approaches to data ingestion, and the three basic actions in data …
What exactly are data structures?
Python has four in-built data structures that are used to store and organise data in an effective and efficient way – tuples, lists, dictionary, and sets. But what exactly are …
Semantics and style guides for Python
There are different types of programming languages: general-purpose, interpreted, interactive, and object-oriented. Python is an interpreted language, which means that the instructions are not directly executed by the target machine …
Setting up a Python environment
To begin your programming journey with Python, let’s install Python on your device. As a data analytics professional, you will be leveraging Python exclusively for data analytics; we will guide …
Data analytics: A disruptive innovation
Data analytics is one of the fastest-growing professional fields in the world today, and the video showed how data analytics is a disruptive innovation that enables organisations to boost their …
Data Visualization Techniques
It’s widely accepted that data in its original form is of little value. In the words of Richard Saul Wurman: Raw data has no inherent value. It must be imbued …
How do you reshape a data set?
To begin with, let us define the ‘shape’ of a data set. The shape of a data set refers to the way in which a data set is arranged into …
What are the essential operations in Pandas?
Data analysts spend a significant amount of time cleaning and preparing data sets to work on. They must possess the necessary tools and ability to work with messy data sets, …
How do you use Python for advanced data analytics?
There are more than 700 programming languages available in the marketplace today. [1] Some languages cater better to building online games, while others work better for software design and data …
Why is data visualisation valuable?
The video explored some key examples and comparisons that demonstrate the importance of data visualisations. Data visualisation facilitates meaningful and effective data conversations. Therefore, as a skill, data visualisation is …
Python data types
Each and every value belongs to a specific data type in Python. Data type defines the type of data values a variable can contain and the operations that can be …