Excel for Data Science and Machine Learning
Perform Machine Learning and Advanced Statistical Analysis On Your Own – Even If You Don’t Code! 100% in Excel
Why machine learning and data science in Excel? Do data scientists and data analysts use Excel at all? The answer is a resounding “Yes, they do!” Few people in an organization can read a Jupyter Notebook, but literally everyone is familiar with Excel. It provides the direct, visual insight that both experts and beginners need to apply the most common machine learning methods. Plus, it is naturally suited to data preparation.
In fact, the simplicity of Excel lowers barriers to entry and allows you to undertake your own data analysis right away. Even if you are not a computer science graduate with Python coding skills, this course will teach you how to perform machine learning and advanced statistical analysis on your own.
Excel is the perfect environment to grasp 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 will be able to fully understand the intuition behind ML algorithms without having to code at all.
Best Seller Course: Python for Excel: Use xlwings for Data Science and Finance
What you’ll learn
- Use This Course to Improve Your Excel Skills
- Learn How to Perform Machine Learning Techniques on Your Own – No Coding Skills Required
- Fundamental Statistical Concepts
- Grasp the Intuition Behind Advanced Statistics
- How to Use Excel for Advanced Statistical Analysis
- Improve Your Analytical Thinking
- Linear Regression
- Multiple Linear Regression
- Logistic Regression
- Cluster Analysis
- K-Means Clustering
- Decision Trees
You May Also Need This Course: Excel Pivot Tables: Master Data Analyses and Dashboards
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