Data Analytic Principles/Habits

A set of highly effective and easy to enforce habits that professionalize your analytic work

4.50 (28 reviews)
Udemy
platform
English
language
Data & Analytics
category
instructor
195
students
1 hour
content
May 2020
last update
$34.99
regular price

What you will learn

Recognize the importance of a methodical approach to doing analytic work

Learn good habits for doing analytic work

Pick up universally applicable, practical, easy to enforce habits

Description

Do you want to turn your analytic work from mediocre to great?

Do you want to shine at the workplace by demonstrating a superior, professional analytic ability?

Then this course is for you... Read on please.

Over 15 years, I identified a number of steps that elevate the quality of data analytic work. When done habitually, these steps will professionalize the analysis, making it more error resistant, flexible and effective in answering the “question”. This content is what I wish someone taught me when I first started working as a data analyst.

Course content:

  1. Context
  2. Preparations (filing system, inputs, model structure)
  3. Building (calculations, testing/checking, documentation)
  4. Output (results, presentation, iterations)

I have distilled the content into easy to remember sections to ensure that you gain a long lasting value from this course. Each section comes with supplemental material including poster for easy reminder and course reading that for reinforcements.

In Summary

Goal - Help you learn and adopt good habits when doing analytic work.

Format - 40 mins of videos that introduce the principles and illustrate the principles through an example. Poster and Reading Materials for each section serves as cheat sheets for future reference and enforcement.

Target Audience - Beginner level data analysts or Students who are about to enter the workforce (data, statistical, financial analyses)

This course is not a training program on how to use MS Excel. We use Excel to illustrate the principles; not hours on hours of lectures that are hard to remember. 40 minutes is all you need.

Content

Welcome and introduction

Course promotion video
Course introduction

Understanding the Context

Understanding the Context
Context - example
Planning an analysis
Why plan

Preparations

Filing System
Filing System example
Input Items
What affects quality of input items?
Input Items checking example
Model structure
What personality attribute makes a great data analyst?
Model Structure example

Building

Building principle
Building "Dos"
Building "Don'ts"
Testing and Checking
What can be said about testing and checking?
Testing and Checking example
Documentation
Documentation example
Why is documentation important?

Output

Results
Results example
Presentation
Presentation example
Refinements

Screenshots

Data Analytic Principles/Habits - Screenshot_01Data Analytic Principles/Habits - Screenshot_02Data Analytic Principles/Habits - Screenshot_03Data Analytic Principles/Habits - Screenshot_04

Reviews

Vicky
August 29, 2018
I appreciated the concise and disciples approach to analytics. I am entering this area with no previous experience, so it was VERY helpful. Thank you!!!
ARLEEN
July 21, 2015
I have taken several courses and this one not only met but exceeded my expectations. Yiding delivered both knowledge and quality in this course. The information I took away from this course not only improved my skills but helped me build on what I was missing. That is what a course should do. I hope to see more from Yiding.

Charts

Price

Data Analytic Principles/Habits - Price chart

Rating

Data Analytic Principles/Habits - Ratings chart

Enrollment distribution

Data Analytic Principles/Habits - Distribution chart
228548
udemy ID
5/25/2014
course created date
1/7/2021
course indexed date
Bot
course submited by