Explanation
Excel for Data Science and Machine Learning Few people in an organization can read the Jupyter Notebook, but virtually everyone knows Excel. It provides the direct, visual insight that both experts and beginners need to use the most popular machine learning methods. In addition, it is naturally suitable for data processing. In fact, the simplicity of Excel lowers the barriers to entry and allows you to immediately analyze your data. Even if you don’t have a computer science degree with Python coding skills, this course will teach you how to do machine learning and advanced statistical analysis on your own. Excel is the best environment to understand the logic of different machine learning techniques in an easy to understand way. All you need to do is get started, and in no time, you’ll be able to fully understand the logic behind ML algorithms without coding at all.
So, if you’re not in the program but want to get into data science, statistical analysis, and machine learning, and you’re aiming to become a data analyst or data scientist, you’ve come to the right place. As you can see, we aim to teach the basics of machine learning and advanced statistical analysis in software that is really easy to understand. And the best part is, when you finish this course, you’ll have the transferable theoretical knowledge you’ll need if you decide to dive into the advanced frameworks available in Python.
What will you learn?
- Use this course to improve your Excel skills
- Learn How To Implement Machine Learning Techniques On Your Own – No Coding Skills Required
- Basic Statistical Concepts
- Catch the feeling behind High Statistics
- How to Use Excel for Advanced Statistical Analysis
- Improve Your Analytical Thinking
- Straight back
- Lots of straight backs
- Reverse Logistics
- Cluster Analysis
- K- It means Cluster
- Decision Trees
Who is this course for?
- You should take this course if you want to understand the basics of machine learning
- Don’t know how to code but want to do machine learning on your own? This is the perfect course for you
- This Course Is Great If You Aspire To Be A Data Analyst Or Data Scientist
Excel Guidelines for Data Science and Machine Learning
- Publisher: Udemy
- Teacher: 365 Skills
- Language : English
- Level : All Levels
- Number of courses: 72
- Duration: 5 hours and 53 minutes
Excel Content for Data Science and Machine Learning
Requirements
- Understanding Basic Statistics
- Beginning Excel Knowledge
Pictures
Sample Clip
Installation Guide
Extract files and watch your favorite player
Subtitle : English
Quality: 720p
Download Links
Password file: free download software
file size
1.59 GB