Description
Python in Excel – Total Data Analysis course. Amazing: Now you can write Python code directly in your Microsoft Excel cells. Do you want to take your Excel skills to a higher level and enter the world of programming? Then this Python in Excel course is perfect for you! Designed for students of all levels, this course guides you from the basics of Python grammar to its advanced integration in Excel. Course Highlights:
– From Zero to Expert: Learn everything from Python basics to advanced techniques, all in Excel.
– Data analysis: Use Python libraries such as Pandas, Seaborn and Matplotlib to analyze large data sets right in Excel.
– Data Cleanup: Learn how to prepare your database to prevent contamination of your graphs.
– Advanced Visualization: Learn how to create stunning visualizations with Matplotlib and Excel.
– Practical application: real examples and practical exercises to immediately apply what you learn.
– Additional Tools and Shortcuts: Discover a collection of additional tools (both native and third-party) that will turn you into a Python in Excel Ninja.
This course is ideal for both programming beginners and advanced Python and Excel users looking to diversify their skills. With the recent native inclusion of Python in Microsoft Excel, it’s now easier than ever to combine the power of programming with the versatility of spreadsheets. If you’re a data analyst, a financial professional, a student, or just someone curious about how Python and Excel can work together, this course will give you the tools and knowledge you need to succeed. Sign up today and take the first step to becoming a Python and Excel expert! Why can I help you? My name is Federico Garai, I’m a best-selling instructor on Udemy, and my Python and Excel courses are the most successful and acclaimed on the platform. Now that Python and Excel have decided to join forces… how could I not be ready to show you the next leg of the journey! See you in lesson number 1.
What you will learn in the Python in Excel – Total Data Analysis course
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You will have a complete mastery of the basic syntax of Python and its integration in Excel.
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You can analyze and visualize data directly in Excel using Python libraries such as Pandas, Seaborn, and Matplotlib.
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You can create interactive dashboards in Excel using Python to make more informed decisions.
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You will learn the best ways to write clean and efficient Python code in the Excel environment.
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You will master the use of specialized Python libraries for financial and statistical work in Excel.
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You’ll gain the confidence to combine the powerful capabilities of Python and Excel in real-world projects.
This course is suitable for people who
- Programming Beginners: Those who want to start programming and see Excel as a familiar environment for this.
- Advanced Excel users: People who are already proficient in Excel and want to take their skills to the next level with Python programming.
- Data Analysts: Professionals who work with large data sets and want to automate and optimize their workflows.
- Computer science or statistics students: those looking to apply their theoretical knowledge in a practical environment such as Excel.
- Financial professionals: such as accountants, financial analysts or actuaries who are looking to improve their models and analysis.
- Anyone with curiosity: If you’re curious about how Python and Excel can work together to solve real-world problems, this course is for you.
Details of the Python in Excel – Total Data Analysis course
- Publisher: Udemy
- teacher: Federico Garay
- Training level: beginner to advanced
- Training duration: 1 hour and 29 minutes
- Number of courses: 18
The topics of the course Python in Excel – Total Data Analysis
Prerequisites of the Python in Excel – Total Data Analysis course
- Basic Excel Knowledge: Know how to navigate a spreadsheet and perform basic operations.
- Must have Microsoft Excel 365 version installed. Other versions do not support Python.
- Basic Python knowledge. You should have experience with basic features like importing libraries, declaring variables, using functions and methods, loops, etc.
Course images
Sample video of the course
Installation guide
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download link
File(s) password: www.downloadly.ir
Size
640 MB
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