Statistics and data analysis with Excel

Statistics and data analysis with Excel, available at $34.99, has an average rating of 4.3, with 29 lectures, based on 52 reviews, and has 3067 subscribers.

You will learn about Basic and advanced univariate statistics in Excel Hypothesis tests (Student's t test, chi-square, F-test, Welch test), t-table and z-table Confidence intervals for mean value and proportions Correlation coefficient and linear regression forecast Outlier identification Database operations Pivot tables This course is ideal for individuals who are Data analysts or Marketing experts or Data scientists It is particularly useful for Data analysts or Marketing experts or Data scientists.

Enroll now: Statistics and data analysis with Excel

Summary

Title: Statistics and data analysis with Excel

Price: $34.99

Average Rating: 4.3

Number of Lectures: 29

Number of Published Lectures: 29

Number of Curriculum Items: 29

Number of Published Curriculum Objects: 29

Original Price: $29.99

Quality Status: approved

Status: Live

What You Will Learn

Basic and advanced univariate statistics in Excel
Hypothesis tests (Student's t test, chi-square, F-test, Welch test), t-table and z-table
Confidence intervals for mean value and proportions
Correlation coefficient and linear regression forecast
Outlier identification
Database operations
Pivot tables

Who Should Attend

Data analysts
Marketing experts
Data scientists

Target Audiences

Data analysts
Marketing experts
Data scientists

In this practicalcourse, we are going to focus on how to perform advanced statistical calculations and data analysis using Microsoft Excel.

Excel is a very used tool in several companies and has very powerful data analysis capabilitiesthat can be used by data analysts and marketing experts. Even if you work with a lot of statisticsyou’d be surprised at how valuable Excel is for calculating hypothesis testsand the most common metricsyou can calculate on a dataset. There are several basic and advanced functions you can use to get the best from your data and that’s why Excel is a very useful tool for anybody who needs to crunch data and perform analyses of various kinds.

This course can be attended by both data analysts and marketing experts who need to work with data and surveys.

With this course, you are going to learn:

Univariate descriptive analysis (mean, standard deviation, skewness, quantiles, percentiles, IQR)
Advanced univariate analysis (outlier detection, rolling measures)
Confidence intervals
Linear correlationand regression forecasting
Hypothesis tests (Student’s t-test, chi-square test, F-test, Welch test)
t tables and z tables
Database operations and conditional operations
Vertical lookup
Pivot tables

All the video lessons of this course start with a brief introduction and end with a practical example in Excel. All the Excel spreadsheets are attached to each lesson and can be downloaded.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Chapter 2: Univariate analysis

Lecture 1: Minimum, maximum and count

Lecture 2: Mean value

Lecture 3: Variance and standard deviation

Lecture 4: Skewness

Lecture 5: Median, quantiles and percentiles

Lecture 6: Interquartile Range

Lecture 7: Conditional operations on a single variable

Chapter 3: Advanced univariate analysis

Lecture 1: Outlier labeling with IQR

Lecture 2: Moving average

Lecture 3: Rolling maximum and minimum

Lecture 4: Percentage change

Lecture 5: Confidence intervals of the mean value

Lecture 6: Confidence intervals of a proportion

Chapter 4: Multivariate analysis

Lecture 1: Linear correlation coefficient

Lecture 2: Linear regression with predictions

Chapter 5: Hypothesis tests

Lecture 1: One sample t-test

Lecture 2: Two samples t-test

Lecture 3: F-test for variance

Lecture 4: Chi-square test

Lecture 5: Z table

Lecture 6: T table

Chapter 6: Database operations

Lecture 1: Conditional operations on a table

Lecture 2: Vertical lookup

Lecture 3: Database operations

Chapter 7: Pivot tables

Lecture 1: How to create a pivot table

Lecture 2: Filters on pivot tables

Lecture 3: Group by rows and columns

Lecture 4: Representation of the results

Instructors

Gianluca Malato
Your Data Teacher

Rating Distribution

1 stars: 2 votes
2 stars: 1 votes
3 stars: 7 votes
4 stars: 18 votes
5 stars: 24 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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