Introduction to Statistics in Spreadsheets

Name: Introduction to Statistics in Spreadsheets
Brand: Careervira
Price: 73 USD
Availability: InStock
Rating: 5.0 (3 reviews)

DataCamp

(3)

Course Report

Find detailed report of this course which helps you make an informed decision on its relevance to your learning needs. Find out the course's popularity among Careervira users and the job roles that would find the course relevant for their upskilling here. You can also find how this course compares against similar courses and much more in the course report.

Visit Course Report

Course Features

Duration

4 hours

Delivery Method

Online

Available on

Limited Access

Accessibility

Mobile, Desktop, Laptop

Language

English

Subtitles

English

Level

Intermediate

Teaching Type

Self Paced

Video Content

4 hours

Course Description

Statistics is the science and art of analysing and interpreting data. To be able work effectively with your data, and to find solutions to your problems, you need to have a solid understanding of statistics. This course will provide you with a solid foundation of statistics. This course will teach you how to use Spreadsheets functions for exploring averages, distributions, and hypothesis testing. The course will end with a case study to demonstrate your new knowledge. Working with various datasets will be a part of the course, including historical presidential approval ratings, eBay auctions and train ridership. Enjoy!

Course Overview

Virtual Labs

International Faculty

Case Based Learning

Post Course Interactions

Case Studies,Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

Data Analysis in Spreadsheets

What You Will Learn

Learn how to leverage statistical techniques using spreadsheets to more effectively work with and extract insights from your data

This course is designed to give you that foundation in statistics

Using Spreadsheets functions, you'll dive into averages, distributions, hypothesis testing, and conclude the course by applying your newfound knowledge in a case study

Course Content

Expand all sections

Module 1: Getting To Know Your Data

Module 2: Statistical Data Visualization

Module 3: Statistical Hypothesis Testing

Module 4: Case Study: Dating Profile Analysis

Course Instructors

Ted Kwartler

Adjunct Professor, Harvard University

Ted Kwartler is the VP, Trusted AI at DataRobot. At DataRobot, Ted sets product strategy for explainable and ethical uses of data technology in the company's application. Ted brings unique insights a...

Course Reviews

Average Rating Based on 3 reviews

5.0

100%