Description
Python in Excel – Whole Data Analysis course. Amazing: Now you can write Python code directly in your Microsoft Excel cells. Want to take your Excel skills to the next level and enter the world of programming? Then this Python in Excel course is for you! Aimed at students of all levels, this course will take you from the basics of Python grammar to its advanced integration in Excel. Course Highlights:
– From zero to expert: Learn everything from Python fundamentals to advanced techniques, all in Excel.
– Data analysis: Use Python libraries such as Pandas, Seaborn and Matplotlib to analyze large datasets directly in Excel.
– Data Cleansing: Learn how to prepare your database to prevent contamination of your charts.
– Advanced Visualization: Learn how to create stunning visualizations using Matplotlib and Excel.
– Practical application: real examples and practical exercises to immediately apply what you have learned.
– Additional tools and shortcuts: Discover a collection of additional tools (both native and third-party) that will turn you into a Python Ninja in Excel.
This course is ideal for both beginner programmers and advanced Python and Excel users looking to expand their skills. With the recent native integration of Python into 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 finance 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. Enroll 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 top-selling instructor on Udemy, and my Python and Excel courses are the most successful and renowned on the platform. Now that Python and Excel have decided to join forces, I couldn’t be more 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 – Whole Data Analysis course
-
You have a complete grasp of the basic syntax of Python and its integration into Excel.
-
Python libraries such as Pandas, Seaborn and Matplotlib allow you to analyze and visualize data directly in Excel.
-
You can use Python to create interactive dashboards in Excel to make more informed decisions.
-
You will learn the best ways to write clean and efficient Python code in the Excel environment.
-
You are proficient in using specialized Python libraries for financial and statistical work in Excel.
-
You will gain the confidence to combine the powerful features of Python and Excel in real-world projects.
This course is suitable for people who
- Beginner programmers: Those who want to start programming and see Excel as a familiar environment for doing so.
- Advanced Excel users: People who already know Excel and want to take their skills to the next level with Python programming.
- Data analysts: Professionals who work with large amounts of data and want to automate and optimize their workflows.
- Computer science or statistics students: those who want to apply their theoretical knowledge in a practical environment such as Excel.
- Financial professionals: such as accountants, financial analysts or actuaries who want to improve their models and analyses.
- Anyone who is curious: If you want to know how Python and Excel can work together to solve real-world problems, this course is for you.
Details about the course “Python in Excel – Whole Data Analysis”.
- Editor: 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 – Whole Data Analysis”.
Prerequisites for the course “Python in Excel – Whole Data Analysis”.
- Basic Excel skills: Know how to navigate a spreadsheet and perform basic operations.
- The version of Microsoft Excel 365 must be installed. Other versions do not support Python.
- Basic Python knowledge. You should have experience with basic functionality like importing libraries, declaring variables, using functions and methods, loops, etc.
Course pictures
Sample video of the course
installation Guide
After extracting, you can watch it with your favorite player.
Subtitles: None
Quality: 720p
Download link
free download software
Size
640MB