Essential Analytics for Solo and Small Business Owners
Essential Analytics for Solo and Small Business Owners, available at $19.99, has an average rating of 4.45, with 59 lectures, based on 55 reviews, and has 420 subscribers.
You will learn about Build a basic analytics skill set crucial to small business success Learn and practice charting techniques to visualize data Understand variability – what it is, why it's killing your ability to recognize meaningful trends, and how to measure it Learn why the shape, or frequency distribution of data is important Practice finding frequency distribution of data sets using histogramming techniques Learn simple tips on data collection and organization Understand how to choose key performance measure(s) unique to your business Create a model by "characterizing" those key business performance measures Establish a performance baseline for your business Learn methods and strategies to plan and implement change Learn how to use a fishbone diagram proactively when planning change Mathematically predict how long it will take to get statistically significant results Learn to practice discipline and vigilance during change to reduce external influences Understand and internalize that correlation and causation are different Understand what "confidence level" means, and how much confidence is reasonable to expect Learn step by step how to conduct a t-test on before-and-after data sets to see if they are different in a statistically significant way Learn how to interpret t-test results Understand the Pareto technique to create a long term success plan by prioritizing change Understand why incremental failures can be constructive, and how to leverage that data to best advantage Practice all the skills and techniques taught, start to finish, on two project businesses (using workbooks) This course is ideal for individuals who are Anyone thinking of quitting their day job to pursue a dream of self-employment or Anyone concerned about the variability of demand for their product or service or Anyone embarking on solo or small business ownership, but confused about how to predict performance in a volatile and ever changing market or Small business owners ready to invest in marketing, but nervous about getting quantifiable results or Anyone frustrated with advertisers who take your money and don't deliver on promises or Anyone in a business rut, searching for ways to raise their game or And also statistics students looking for less math and more context and examples in their instruction It is particularly useful for Anyone thinking of quitting their day job to pursue a dream of self-employment or Anyone concerned about the variability of demand for their product or service or Anyone embarking on solo or small business ownership, but confused about how to predict performance in a volatile and ever changing market or Small business owners ready to invest in marketing, but nervous about getting quantifiable results or Anyone frustrated with advertisers who take your money and don't deliver on promises or Anyone in a business rut, searching for ways to raise their game or And also statistics students looking for less math and more context and examples in their instruction .
Enroll now: Essential Analytics for Solo and Small Business Owners
Summary
Title: Essential Analytics for Solo and Small Business Owners
Price: $19.99
Average Rating: 4.45
Number of Lectures: 59
Number of Published Lectures: 59
Number of Curriculum Items: 59
Number of Published Curriculum Objects: 59
Original Price: $22.99
Quality Status: approved
Status: Live
What You Will Learn
- Build a basic analytics skill set crucial to small business success
- Learn and practice charting techniques to visualize data
- Understand variability – what it is, why it's killing your ability to recognize meaningful trends, and how to measure it
- Learn why the shape, or frequency distribution of data is important
- Practice finding frequency distribution of data sets using histogramming techniques
- Learn simple tips on data collection and organization
- Understand how to choose key performance measure(s) unique to your business
- Create a model by "characterizing" those key business performance measures
- Establish a performance baseline for your business
- Learn methods and strategies to plan and implement change
- Learn how to use a fishbone diagram proactively when planning change
- Mathematically predict how long it will take to get statistically significant results
- Learn to practice discipline and vigilance during change to reduce external influences
- Understand and internalize that correlation and causation are different
- Understand what "confidence level" means, and how much confidence is reasonable to expect
- Learn step by step how to conduct a t-test on before-and-after data sets to see if they are different in a statistically significant way
- Learn how to interpret t-test results
- Understand the Pareto technique to create a long term success plan by prioritizing change
- Understand why incremental failures can be constructive, and how to leverage that data to best advantage
- Practice all the skills and techniques taught, start to finish, on two project businesses (using workbooks)
Who Should Attend
- Anyone thinking of quitting their day job to pursue a dream of self-employment
- Anyone concerned about the variability of demand for their product or service
- Anyone embarking on solo or small business ownership, but confused about how to predict performance in a volatile and ever changing market
- Small business owners ready to invest in marketing, but nervous about getting quantifiable results
- Anyone frustrated with advertisers who take your money and don't deliver on promises
- Anyone in a business rut, searching for ways to raise their game
- And also statistics students looking for less math and more context and examples in their instruction
Target Audiences
- Anyone thinking of quitting their day job to pursue a dream of self-employment
- Anyone concerned about the variability of demand for their product or service
- Anyone embarking on solo or small business ownership, but confused about how to predict performance in a volatile and ever changing market
- Small business owners ready to invest in marketing, but nervous about getting quantifiable results
- Anyone frustrated with advertisers who take your money and don't deliver on promises
- Anyone in a business rut, searching for ways to raise their game
- And also statistics students looking for less math and more context and examples in their instruction
This course teaches basics of business analytics, and translates that knowledge into practical application. Students will come away from this course knowing how to apply simple analysis tools to characterize key performance measures of their business both before and after a strategic change, and to expose and quantify statistically significant results even in the most variable business climate.
Students will learn that the critical need to differentiate a business introduces a complication: business strategies that work for the competitors might not work for them. A bit of trial and error is necessary. By designing a strategic approach and applying analytics as taught in this course, students will put their small or solo business on a steady upward trajectory.
Course Curriculum
Chapter 1: Course Introduction and Overview
Lecture 1: 1.01 Introduction
Lecture 2: 1.02 Full Course Description with Syllabus
Lecture 3: 1.03 Is This Course For You?
Lecture 4: 1.04 Course Value
Lecture 5: 1.05 Project Business Introduction
Chapter 2: Get Ready
Lecture 1: 2.01 Get Ready
Lecture 2: 2.02 Choose a Data Set
Lecture 3: 2.03 Data Collection and Mining
Lecture 4: 2.04 Characterizing a Data Set
Lecture 5: 2.05 Understanding Variability
Lecture 6: 2.06 Electric Bill Example
Lecture 7: 2.07 Charting Overview and Demonstration
Lecture 8: 2.08 Homework – Charting
Lecture 9: 2.09 Installing the Excel Analysis Toolkit
Lecture 10: 2.10 The Shape of Data
Lecture 11: 2.11 Introduction to Histogramming
Lecture 12: 2.12 Histogram Demonstration
Lecture 13: 2.13 Homework – Histogramming
Lecture 14: 2.14 Non Normal Adjustment
Lecture 15: 2.15 The Power of Outliers
Lecture 16: 2.16 Salon Example
Lecture 17: 2.17 Web Instructor Example
Lecture 18: 2.18 Project – Salon
Lecture 19: 2.19 Project – Web Instructor
Chapter 3: Get Set
Lecture 1: 3.01 Get Set
Lecture 2: 3.02 Establishing a Baseline
Lecture 3: 3.03 Considering Change From Varying Angles
Lecture 4: 3.04 Planning a Change
Lecture 5: 3.05 Isolate Influences
Lecture 6: 3.06 How Much Data Is Enough
Lecture 7: 3.07 The Calculation Explained
Lecture 8: 3.08 Salon Example
Lecture 9: 3.09 Web Instructor Example
Lecture 10: 3.10 Homework – Determining Experimental Sample Size
Chapter 4: Go!
Lecture 1: 4.01 Go
Lecture 2: 4.02 Implement Change
Lecture 3: 4.03 Data Collection
Lecture 4: 4.04 Monitoring for Interference
Lecture 5: 4.05 Correlation Versus Causation
Chapter 5: Soar
Lecture 1: 5.01 Soar
Lecture 2: 5.02 Analysis Introduction
Lecture 3: 5.03 Variance Comparison
Lecture 4: 5.04 Confidence Levels Explained
Lecture 5: 5.05 T-Test Demonstration
Lecture 6: 5.06 Homework – The t-Test
Lecture 7: 5.07 Salon t-Test Example
Lecture 8: 5.08 Web Instructor t-Test Example
Lecture 9: 5.09 Homework – Practice the t-Test Using Business Data
Chapter 6: And Beyond
Lecture 1: 6.01 Beyond
Lecture 2: 6.02 A Case for Constant Collection
Lecture 3: 6.03 Issues of Practicality
Lecture 4: 6.04 Introduction to Pareto Analysis
Lecture 5: 6.05 Pareto Demonstration
Lecture 6: 6.06 Homework – Pareto Analysis
Lecture 7: 6.07 The Amazing Factorial
Chapter 7: Supplemental
Lecture 1: 7.01 Summary and Supplemental
Lecture 2: 7.02 Instructor Bio
Lecture 3: 7.03 Tools Used to Develop the Course
Lecture 4: 7.04 Student Resources
Instructors
-
Susan Kawa
Career scientist, bringing the power of simple analytics to the small business community
Rating Distribution
- 1 stars: 1 votes
- 2 stars: 1 votes
- 3 stars: 6 votes
- 4 stars: 17 votes
- 5 stars: 30 votes
Frequently Asked Questions
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