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!
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