Data Analysis and Machine Learning with Excel
Learn how to use Excel for your machine learning data analysis.
GK# 100794
Learn how to use Excel for your machine learning data analysis.
GK# 100794
Huge progress has been made in teaching computers to perform difficult tasks, especially those that are repetitive and time-consuming for humans. Much of this data analysis and machine learning work is completed leveraging modern scripting and programming skills, such as R or Python programming, for example. It’s easy for Excel users not fluent in these skills or languages to feel sidelined from this innovation wave. However, that isn’t the reality. The truth is that a large amount of the work needed to develop and use a machine learning model can be done in Excel.
Data Analysis and Machine Learning in Excel is a three-day, foundation-level, hands-on course that explores the fast-changing field and how experienced Excel users can leverage their skills to contribute. The course starts by providing an introduction to machine learning, making every concept clear and understandable. Then, it shows every step of a machine learning project, from data collection, reading from different data sources, developing models, and visualizing the results using Excel features and offerings. In every lesson, there are several examples and hands-on exercises that will show the reader how to combine Excel functions, add-ins, and connections to databases and to cloud services to reach the desired goal: building a full data analysis flow. Different machine learning models are shown, tailored to the type of data to be analyzed.
Join an engaging hands-on learning environment, where you’ll learn to:
This course has a 50% hands-on labs to 50% lecture ratio with engaging instruction, demos, group discussions, labs, and project work. This is not a basic class.
Implementing Machine Learning Algorithms
Hands-On Examples of Machine Learning Models
Importing Data into Excel from Different Data Sources
Data Cleansing and Preliminary Data Analysis
Correlations and the Importance of Variables
Data Mining Models in Excel Hands-On Examples
Implementing Time Series
Visualizing Data in Diagrams, Histograms, and Maps
Artificial Neural Networks
Azure and Excel - Machine Learning in the Cloud
The Future of Machine Learning
Before attending this course, you should have:
Analyst, Data Scientist, and other professionals who want a practical guide to extract the most out of Excel for data preparation, applying machine learning models, and understanding the outcome of your data analysis.
This course is available in the following formats:
Experience expert-led online training from the convenience of your home, office or anywhere with an internet connection.