What you'll learn:
- Learn about the different qualities of data
- Understand the Machine Learning Process
- Learn about the difference between Supervised and UnSupervised Learning
- Explore Real-World use cases for a variety of machine learning algorithms
- Learn about Regression and Classification techniques
- Understand Dimensionality Reduction with Principal Component Analysis
Welcome to this non-technical training for executives!
This exclusive Udemy for Business training is designed to give you a high level overview of the key topics in Data Science andMachine Learning. Designed exclusively for students who want to learn about the basics of data science and machine learning at a high level, without needing to learn how to code or cover complex mathematics.
In this course you'll learn the fundamentals to high quality data, allowing you to understand what makes data suitable for analysis and machine learning. Then we'll give you a quick overview of important statistical topics, such as mean, standard deviation, and the normal distribution. Afterwards you will learn the different ways data scientists are able to visualize data to convey their ideas in a clear manner.
Once we've learned the basics of data, statistics, and visualization we'll explore the amazing opportunities machine learning has to offer. We'll teach you about the machine learning process, acquiring data, cleaning data, and an overview of the train/test split philosophy that supervised learning adheres to. Then we'll show you some examples of regression and classification algorithms, as well as how to evaluate their results.
Once we understand regression and classification, we'll teach you about clustering techniques such as KMeans algorithm and dimensionality reduction methods like Principal Component Analysis.
Let's being your first steps into data science and machine learning! Enroll today and we'll see you inside the course!
