Statistics 101: Guiding Data Science & Analysis using Excel - Statistics, Data Analytics, Data Science, Methods, Basics of Machine Learning, Linear Algebra
Description
Interested in the pathway to Machine Learning? Path to Machine Learning begins with Statistics. This course is for such students! This course is for Beginners and uses Excel for Data Analysis ( Data Analysis Toolpak and Excel Functions)
The course is designed to provide the fundamentals of machine learning and deep learning. It is targeted toward newbies, scholars, students preparing for interviews, or anyone seeking to hone the data science skills necessary. In this course, we will cover the basics of machine learning, and deep learning and cover a few case studies.
This short course provides a broad introduction to machine learning, and deep learning. We will present a suite of tools for exploratory data analysis and machine learning modeling. We will get started with python and machine learning and provide case studies using keras and sklearn.
Contents:
- Measures of Central Tendency, Measures of Dispersion, Visualization
- How to create Pivot Tables
- How to enable Data Analysis Toolpak
- Contingency Tables in Excel
- Binomial Distribution and Normal Distribution in Excel
So what are you waiting for? Learn Statistics and Data Analysis in a way that will enhance your knowledge and improve your career!
Thanks for joining the course. I am looking forward to seeing you. let's get started!
Who this course is for:
- Machine learning enthusiasts, scholars or anyone seeking to hone the data science skills necessary
- Beginner and intermediate developers interested in data science.
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