Building Your First Regression Model in Python with Scikit-learn

Free Live ML Workshop on July 2 - Register Now

dotsdots

Essential Mathematics for Data Analysis in Microsoft Excel

Description

Data analysis is inextricably linked with maths. While statistics are the most important mathematical element, it also requires a good understanding of different formulas and mathematical inference.

This course is designed to build up your understanding of the essential maths required for data analytics. It’s been designed for anybody who would like to refresh their maths knowledge or learn it in a simplified way before embarking on further data analytics training.

Build your knowledge of basic statistics

Explore summary statistics and learn how to make statistical predictions so that you can analyse data across any field or discipline. You’ll discover how to apply statistical methods to your data, and will practice the formula required to do that so that you can analyse and understand your data sets.

Understand simple mathematical notation

Mathematical notations include numbers, variables, delimiters, functions, relational symbols, and operator symbols. You’ll learn basic notation and expressions, and find out how they are applied to Excel formulas to complete simple calculations.

Apply your maths to business forecasting methods

Once you have a good understanding of the maths behind it, you’ll move onto forecasting future trends using your data. You’ll apply inferential maths to your data sets and calculate business metrics and KPIs to turn your new knowledge into genuine business value.Read more.

This resource is offered by an affiliate partner. If you pay for training, we may earn a commission to support this site.

Career Relevance by Data Role

The techniques and tools covered in Essential Mathematics for Data Analysis in Microsoft Excel are most similar to the requirements found in Data Analyst job advertisements.

Similarity Scores (Out of 100)