Data Analytic Principles/Habits

Data Analytic Principles/Habits, available at $34.99, has an average rating of 4.5, with 27 lectures, 5 quizzes, based on 31 reviews, and has 253 subscribers.

You will learn about 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 This course is ideal for individuals who are Beginner data/financial analysts or Anyone doing regular spreadsheet work or Students who are about to enter the workforce It is particularly useful for Beginner data/financial analysts or Anyone doing regular spreadsheet work or Students who are about to enter the workforce.

Enroll now: Data Analytic Principles/Habits

Summary

Title: Data Analytic Principles/Habits

Price: $34.99

Average Rating: 4.5

Number of Lectures: 27

Number of Quizzes: 5

Number of Published Lectures: 27

Number of Published Quizzes: 5

Number of Curriculum Items: 32

Number of Published Curriculum Objects: 32

Original Price: $19.99

Quality Status: approved

Status: Live

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

Who Should Attend

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

Target Audiences

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

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:

Context
Preparations (filing system, inputs, model structure)
Building (calculations, testing/checking, documentation)
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 learnand adoptgood habits when doing analytic work.

Format– 40 mins of videosthat introduce the principles and illustrate the principles through an example. Poster and Reading Materialsfor each section serves as cheat sheets for future reference and enforcement.

Target Audience– Beginnerlevel data analysts or Studentswho are about to enter the workforce (data, statistical, financial analyses)

This course is nota training program on how to use MS Excel. We use Excel to illustrate the principles; nothours on hours of lectures that are hard to remember. 40 minutes is all you need.

Course Curriculum

Chapter 1: Welcome and introduction

Lecture 1: Course promotion video

Lecture 2: Course introduction

Chapter 2: Understanding the Context

Lecture 1: Understanding the Context

Lecture 2: Context – example

Lecture 3: Planning an analysis

Chapter 3: Preparations

Lecture 1: Filing System

Lecture 2: Filing System example

Lecture 3: Input Items

Lecture 4: Input Items checking example

Lecture 5: Model structure

Lecture 6: Model Structure example

Chapter 4: Building

Lecture 1: Building principle

Lecture 2: Building "Dos"

Lecture 3: Building "Don'ts"

Lecture 4: Testing and Checking

Lecture 5: Testing and Checking example

Lecture 6: Documentation

Lecture 7: Documentation example

Chapter 5: Output

Lecture 1: Results

Lecture 2: Results example

Lecture 3: Presentation

Lecture 4: Presentation example

Lecture 5: Refinements

Chapter 6: Bonus Sections

Lecture 1: 5 key elements of health insurance products

Lecture 2: Intro to the Payors lines of business (health insurers)

Lecture 3: Machine Learning No Coding Required! – Decision Trees

Lecture 4: Health data 101 – Insurance Claims

Instructors

Eddie Jay
Health Analytics Guru / Actuary

Rating Distribution

1 stars: 0 votes
2 stars: 1 votes
3 stars: 5 votes
4 stars: 8 votes
5 stars: 17 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!

Menu