This courses will teach you how to analyze sales data using Python programming language. Python was described as the language that is capable of doing anything and everything. The good news about this course is that you don’t need advanced knowledge in Python nor in any programming language. All you need is just simple knowledge of how to create simple Python functions/scripts.
Being able to analyze sales data will surly help you increase your sales and fix what went wrong and avoid it in the future. Python can do all of this super efficiently with it’s Pandas and MatPlotLib Libraries. Therefore, in this course you will learn how to use the most important features that these Python libraries provide to analyze your sales data. These two Python libraries -Pandas & Matplotlib- are super powerful modules that are capable of extracting data, cleaning data, manipulating data, analyzing data and of course plotting data.
By the end of this course you will have the skills required to analyze your sales data using Python programming language.
Why should you take this course?
There are many reasons why this course is extremely important.
•First and most prominently is that you will learn one of the most amazing Python capabilities. As you know, Python is pretty much able to do anything!
•Secondly you will improve your Python skills by learning two new libraries.
•Third this course is a starting point towards a career in data science/analysis, and this course will give you the basics you need to start moving forward confidently.
What you will learn in this course?
1. How to install Python.
2. How to install Panadas and Matplotlob libraries.
3. How to use Jupiter notebook.
4. How to import data from excel.
5. How to get a specific part of data.
6. How to plot data.
7. How to apply statistical functions to data (e.g. Mean,Median, Standard deviation,etc).
8. How to analyze data draw conclusion.
9. Much much more…
Note: The code/project that will be created throughout this course will be provided so that you can download it and use it for commercial and non-commercial purposes.