We will focus on the most time-consuming part of the machine learning process which is the data exploration consisting of data visualization and data wrangling serving for preparing and understanding your data. The whole course is full of different hands-on exercises in two popular data analytics platforms:

• Open-source and very progressive programming language Python
• The most popular MS Excel

where we will read the data, transform them, and visualize them.

What will you learn in this course?

• Python  (installation and environment description)
• Gathering the data into both platforms (data from Excel and CSV)
• Data exploration: Data wrangling (preparation and transformation) I - Table, row transform, row filter, and split
• Data exploration: Data wrangling (preparation and transformation) II - Column binning, column convert and replace, column filter, column split, column transform
• Data exploration: Data wrangling (preparation and transformation) III - Other data types – date and time
• Data exploration:  Visualisation by creating a histogram, line plot, pie chart, scatter plot, box plot