Description
Data Science 101: Python Plus Excel Course. For years, and for good reason, Excel has been a staple of professional tools. Due to its extensive capabilities and simplicity of use, it is essential in all aspects of business, education, finance and research. Python programming language has become more popular in the last few years. According to one study, demand for Python expertise has increased by 27.6% in the past year and shows no signs of slowing down. Python has been a pioneer in web development, data analysis, and infrastructure management since it was first developed as a tool for building 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 this manually and repeatedly will eventually drive you crazy. It also takes too long, which is not a good idea. Try to consider what it’s like for data entry workers. They take data from tables (like Excel spreadsheets or Google Sheets) and put it somewhere else. They read various magazines and websites, take data there and then enter them into the database. In addition, they must perform calculations for the inputs. Generally, the performance of the job determines how much money is earned. More input volume, more pay (of course, everyone wants more pay in their job). However, don’t you find doing the same thing over and over boring? Now the question is, “How can I do it quickly?” How do I automate my work? Spend an hour coding and automating these types of tasks to make your life easier than doing them by hand. You can automate your intensive activities by just writing fewer lines of Python code.
This course covers the following topics:
1. The basics of Excel
2. Excel functions
3. Excel visualization
4. Excel case study (financial statements)
5. Nampi python and pandas
6. Python implementation of Excel functions
7. Python’s matplotlib and pandas visualization
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 a data set. But for the modern era, with large data sets and more sophisticated analysis and automation, Python provides the tools, techniques, and processing power that Excel lacks in many cases. 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.
What you’ll learn in Data Science 101: Python Plus Excel
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Write Excel conditional, text and advanced search functions
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Excel automation using Python
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Learn Microsoft Excel 2016 and its many advanced features
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Learn data science skills using Python and Excel
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Excel features using numpy and pandas
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Visualization using Excel and Python
This course is suitable for people who
- Excel users are curious about automating their work using Python
- Python developer looking to switch careers to data science
Data Science 101: Python Plus Excel Course Description
- Publisher: Udemy
- teacher: Sachin Kafle
- Training level: beginner to advanced
- Training duration: 8 hours and 15 minutes
- Number of courses: 82
Data Science 101 course topics: Python Plus Excel
Data Science 101 course prerequisites: Python Plus Excel
- Python basics (data types, loops, functions, etc.)
- Install Microsoft 2016, 2013 or 2010
Course images
Sample video of the course
Installation guide
After Extract, view with your favorite Player.
Subtitle: None
Quality: 720p
download link
File(s) password: www.downloadly.ir
Size
3.04 GB
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