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30-Day Money-Back Guarantee
Business Business Analytics & Intelligence Habits

Data Analytic Principles/Habits

A set of highly effective and easy to enforce habits that professionalize your analytic work
Rating: 4.2 out of 54.2 (23 ratings)
188 students
Created by Eddie Jay
Last updated 5/2020
English
English [Auto]
30-Day Money-Back Guarantee

What you'll 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

Requirements

  • Some basic understanding of spreadsheet operations
  • A basic understanding of what doing analytic work entails
  • Open mind to change and practice your work 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.

Who this course is for:

  • Beginner data/financial analysts
  • Anyone doing regular spreadsheet work
  • Students who are about to enter the workforce

Course content

5 sections • 23 lectures • 1h 1m total length

  • Preview02:14
  • Preview01:50

  • Preview03:06
  • Preview02:53
  • Planning an analysis
    04:03
  • Why plan
    1 question

  • Filing System
    02:34
  • Filing System example
    04:34
  • Input Items
    02:57
  • What affects quality of input items?
    1 question
  • Input Items checking example
    02:44
  • Model structure
    02:36
  • What personality attribute makes a great data analyst?
    1 question
  • Model Structure example
    02:06

  • Building principle
    02:09
  • Building "Dos"
    02:43
  • Building "Don'ts"
    03:14
  • Testing and Checking
    03:33
  • What can be said about testing and checking?
    1 question
  • Testing and Checking example
    03:25
  • Preview01:39
  • Documentation example
    02:43
  • Why is documentation important?
    1 question

  • Results
    01:57
  • Results example
    02:59
  • Presentation
    01:21
  • Presentation example
    03:20
  • Refinements
    00:37

Instructor

Eddie Jay
Health Analytics Guru / Actuary
Eddie Jay
  • 4.4 Instructor Rating
  • 302 Reviews
  • 1,760 Students
  • 3 Courses

I have worked in the data rich healthcare space for over 17 years.

I'm passionate about pragmatically utilizing health data to find actionable insights, thereby improving patient care.

I've worked for a variety of health care organizations including insurers, hospitals, pharmaceutical companies and software startups.

I know how to get value out of healthcare data.

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