Essential Excel For Business Statistics and Data Analytics

Applied Statistical Modelling For Business Cases With Excel

4.21 (62 reviews)
Udemy
platform
English
language
Data & Analytics
category
instructor
Essential Excel For Business Statistics and Data Analytics
495
students
3.5 hours
content
Sep 2022
last update
$54.99
regular price

What you will learn

Introduction to Excel and navigating around the interface

Reading in external data (including data from webpages) into Excel

Derive insights from the data via grouping and pivoting

Describe your data (descriptive statistics, including identifying the best statistic)

Data visualisation through charts

Inferential statistics in Excel (including hypothesis testing)

Regression modelling in Excel

Why take this course?

If You Are…..

  • A business intelligence (BI) practitioner

  • Data analyst

  • Interested in gaining insights from data (especially financial, geographic, demographic and socio-economic data)

Excel Is Your Friend for Common Business Data Analysis and Statistics Tasks

I’m Minerva Singh, and I’m an expert data scientist. I’ve graduated from 2 of the best universities in the world; MPhil from Oxford University (Geography and Environment), and a PhD holder in Computational Ecology from Cambridge University. I have several years of experience in data analytics and data visualization.

My course aims to help you start with no prior/limited exposure to data analysis and become proficient in undertaking common business statistical analysis with Microsoft Excel, including reading data from different sources and building data visualisations. You don't need any prior exposure to data analytics and visualization to get started with MS Excel. So if you have struggled with Excel, worry no more. After finishing my course you will be able to:


  1. Read in and clean messy data in MS Excel

  2. Basic webscraping with Excel

  3. Carry out common business data analytic tasks including filtering and pivoting

  4. Carry out pre-processing and data summarization to glean insights from data

  5. Develop powerful visualisations with MS Excel

  6. Learn important statistical techniques, including hypothesis testing and inferential statistics

  7. Carry out common statistical analysis using MS Excel-including correlations and regression analysis

  8. Include qualitative attributes in your regression models and interpret the results

If you take this course and it ever feels like a disappointment, feel free to ask for a refund within 30 days of your purchase, and you would get it at once. Become an expert in Data Analytics and Visualization with a new and powerful tool by taking up this course today!

Reviews

Anonymized
July 23, 2023
The instructor is thorough about the subject of the course. Her delivery is engaging and interesting.
Mukesh
November 4, 2022
The course has immense potential for practical application in the field of business statistics and data analytics.

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4801540
udemy ID
7/27/2022
course created date
10/28/2022
course indexed date
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