In Introduction to Data Science using Python, you will first learn the basics of python, and then extend your knowledge in python to using data science libraries such as Pandas, Numpy, Matplotlib, Seaborn and more to carry out various data tasks such as data cleaning, data visualisation, feature engineering, training and testing prediction models.
You will have a wonderful time learning this course, and gain practical skills needed to be ready for the job market.
Welcome to the course on Advance Excel. In this course you will be taught how
organize, store and analyze data using a popular spreadsheet application software
called Microsoft Excel. Excel is one of the application programs in the Microsoft office
suite. It allows you to create, edit, store, and analyze data in grid format or tabular
form. the course name “Advanced Excel” assumes recognition of prior knowledge of
the excel basics. In other words, it is assumed the individual taking this has some prior
knowledge of how to perform some basic operations in excel like launching the
application, saving a workbook, entering and editing data in a cell etc. however, there
will some review of these basic which will serve as a refresher to some, but this will
not be covered in detail.
The approach that will be used will be a combination of active learning and case
studies. This is to ensure that participants are engage and have a rewarding
experience. To get the best out of this course, you must walk alongside the instructor
by carrying out all the exercises and task.
Microsoft Excel offers several advance features that can be used to improve
administrative, technical, business and financial operations in organization. However,
this feature goes unnoticed or are underutilized. This training is aimed at making
participants master the use and operations of these features in Microsoft Excel.
