Getting Digital

Data and Statistics (For Business and Economics)

Develop essential data science & ai skills with expert instruction and practical examples.

Online Course
Self-paced learning
Flexible Schedule
Learn at your pace
Expert Instructor
Industry professional
Certificate
Upon completion
What You'll Learn
Master the fundamentals of data science & ai
Apply best practices and industry standards
Build practical projects to demonstrate your skills
Understand advanced concepts and techniques

Skills you'll gain:

Professional SkillsBest PracticesIndustry Standards
Prerequisites & Target Audience

Skill Level

IntermediateSome prior knowledge recommended

Requirements

Basic understanding of data science & ai
Enthusiasm to learn
Access to necessary software/tools
Commitment to practice

Who This Course Is For

Professionals working in data science & ai
Students and career changers
Freelancers and consultants
Anyone looking to improve their skills
Course Information

About This Course

This Statistics course is your first step to learn how to make sense of piles of data using the graphical and numerical measures. It has students (from over 130 countries), including absolute beginners in Statistics and professionals from other fields. Here is what some of them have to say: "Simple to understand and follow; graphics are clean and easy to read" ~ Linda Chisholm "The instructor explained three different ways to calculate frequency in Excel.

" ~ Diane Dye Course Description:This Statistics course is designed for students and businesses who want to learn how to summarize data and communicate the results effectively. In this course, I will take you through the tabular, graphical and numerical methods that one can use to turn data into information using Microsoft Excel. There are no prerequisites required to take this course as I will start all the concepts from scratch.

A glimpse of what you are going to learn in 3 hours: Basics of Data - Collection Techniques and TypesTabular and Graphical methods available to summarize the data (along with their working in MS Excel) depending on what type of data we haveTips to use while deciding which chart type to choose for summarizing your data (Not every chart or graph is suitable for all kinds of data)Tips on how to get your audience's attention, how to make your data speakApplications to solidify your learningNumerical measures to summarize dataMean, Median, Mode - Which one is the best measure. Still wondering if this course is useful. Well, here is our take - Its better to spend a couple of hours learning how to summarize and present your data than spending days to try and make sense of the data without knowing these methods.

All that said, lets get started.

Provider
Udemy
Estimated Duration
10-20 hours
Language
English
Category
Technology & Programming

Topics Covered

Data Science & AI

Course Details

Format
Online, Self-Paced
Access
Lifetime
Certificate
Upon Completion
Support
Q&A Forum
Course Details
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This course includes:

Lifetime access to course content
Access on mobile and desktop
Certificate of completion
Downloadable resources

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