Python Plus Excel 2023-5 – Download

Description

Data Science 101: Python Plus Excel Course. For years, and for good reason, Excel has been a staple of professional tools. Because of its broad capabilities and simplicity of use, it is essential in all aspects of business, education, finance, and research. The Python programming language has become more popular over the past few years. According to one study, the demand for Python expertise has increased by 27.6% in the past year and shows no signs of slowing down. Python has been a leader in web development, data analysis, and infrastructure management since it was first developed as a tool for creating scripts that “automate the boring stuff.”

Why is Python important for automation? Consider that you need to create user accounts for 10,000 employees on a website. What do you think? Doing it manually and repeatedly will eventually drive you crazy. It also takes a lot of time, which is not a good idea. Try to consider what it is like for data entry personnel. They take data from tables (such as Excel spreadsheets or Google Sheets) and put it somewhere else. They read various magazines and websites, take data from there and then enter them into the database. In addition, they also have to perform calculations for the inputs. Generally, job performance determines how much money is earned. The more the input volume, the more the salary (of course, everyone wants a higher salary in their job). However, don’t you find it boring to do the same work over and over again? Now the question is, “How can I do it quickly?” How do I automate my job? Spend an hour coding and automating these types of tasks to make your life easier than doing it by hand. You can automate your intensive activities by simply writing fewer lines of Python code.

This course covers the following topics:

1. Basics of Excel

2. Excel Functions

3. Excel Visualization

4. Excel Case Study (Financial Statements)

5. Numpy Python and Pandas

6. Python Implementation of Excel Functions

7. Python’s matplotlib and pandas visualization

The evidence shows that both Excel and Python have their place in specific applications. Excel is a great entry-level tool and a quick and easy way to analyze data sets. But for the modern age, with larger data sets and more sophisticated analysis and automation, Python offers the tools, techniques, and processing power that Excel lacks in many ways. After all, Python is more powerful, faster, capable of better data analysis, and benefits from a more comprehensive and collaborative support system, Python is an essential skill for data analysts, data scientists, and anyone in science, and now is the time to learn it.