Our philosophy

Knowledge-based on rote learning is useless if it is not applied.

Our course

You enter a simulated company as an intern to follow your mentor and learn to apply descriptive statistics to collect, analyze, interpret, and develop a competitive business presentation.

We offer

A non-intimidating cartoon styled business atmosphere where learning is fun and concepts are easy to understand.

We provide tools to help you build data analysis skills so you can break through entry-level jobs, succeed in a new position, gain job security, or get a long-overdue promotion. Acquiring increasingly valuable data collection, interpretation, presentation, and reporting skills are critical in helping you achieve your career goals. Data is everywhere and on every level, such as the fast-food worker who always volunteered to help with weekly reports and is now the assistant manager. And the office workers, who carved out niches for data collection and reporting, are getting promoted while others are getting laid-off.

If you have spent any time in the workforce, you probably have noticed the worker that seems indispensable. When there are layoffs or furloughs, that person always manages to survive; and is often promoted when others are not. This person is always present at important meetings. And the boss will often stop in mid-sentence and say something like, “What percentage of sales in widgets did we have last quarter?” And this worker will pop up right away with the correct answer. This worker regularly provides reports for the boss and is often sent scrambling for answers when the boss needs quick information. We find people who are well established in the workplace because they have mastered the descriptive statistic skills required to collect, analyze, present, and report data that are proven assets for career advancement.

Our multicultural world is infused with statistics. We make many business decisions based on data, and in that respect, data controls much of what we do. There are many forms of data to include automated programs that are based on statistics to run operations. For example, in sales operations, people with the highest sales automatically receive the most sales leads from automated systems. Whereas people with lower average sales do not receive many sales leads from the system.

This course is unique.

Since data and statistics are vital to the business, we created a course that places you in a simulated business environment to learn to master data analysis and presentation. This course features fun and easy lessons to help you understand descriptive statistics as building blocks for data collection, analysis, and reporting in your workplace. We structured the course to answer 3 crucial questions that are often asked in statistics courses:

· What is this?

· Why do I need this?

· How is this going to help me at work?

We presented descriptive statistics in a series of dramatic episodes in a fictional company to answer these questions. In each episode, the characters are either mentoring, training or learning to analyze company data. We also included an Excel segment featuring statistical analysis and data charting. You participate by becoming an intern to observe how the characters apply descriptive statistics and complete assignments that apply lesson content. A big take-away is that you will be able to apply descriptive statistics and discover opportunities to analyze data.

What this course covers:

· Understand the definition of descriptive statistics, and why the statistical application is a critical skill in the workplace.

· How to collect data and identify valid sources of professional data.

· Why you need to know the difference between a population and a sample when collecting data at work.

· Understand the different statistical operations that are used for population and sample data.

· Know why you need representative large random samples to produce bell-shaped curves or normal distributions.

· What happens when we do not use large random samples, and what is right or left-skewed distribution curves.

· Know descriptive statistics that showcase product advantages in competitive markets.

· Compute descriptive statistics for small samples on your calculator and explain how each measure is useful for identifying or describing data.

· Use Excel, especially for computing large data samples and creating charts for presentations.

· Explain how measures of central tendency and dispersion are used in data collection and analysis.

· How central tendency and dispersion affect your data and why it is important in managing data, planning, and creating strategies.

· Know what measures of central tendency let us determine how close data is to average.

· Understand statistics that measure dispersion or how data is spread out from the average.

Market Analysis

Target Market and Demographics

· Identify potential customers and demographics using population and sample data.

· Analyze statistics for large random samples of non-personalized data such as age, gender, income, education level from databases.

· Understand how descriptive statistics help identify the right customers for advertisement campaigns.

Competitive Analysis

· Research competitors to identify strengths and weaknesses.

· Discover valid sources of competitor data for analysis.

· Determine how close the competition’s prices are to the average price by looking at distribution curves.

· Identify statistics that highlight product advantages, strengths, and unique features in a competitive market.

· Know what descriptive statistics to use to gain the best advantage when marketing products.

Sales and Price Forecasting

· Based on descriptive statistic information, identify sales or price changes you expect during a specific operation period.

· How central tendency and dispersion help you in forecasting data such as sales and prices.

Excel

· Learn how to use EXCEL to compute statistics and make grafts or charts.

· Become proficient in preparing data for presentations using Excel.

Exercises

· The exercises located throughout the lessons help you practice using what you learned.

· The lessons are designed to be easy and intuitive.

· Answer sheets for the exercises and instructions are located at the end of the course.

This course is for

· People who are not employed and are seeking skills to interest potential employers

· Employees seeking advancement and promotions

· Entry-level employees needing opportunities to showcase skills

· Self-employed and needing data for advertising to attract customers

· People seeking job security in a turbulent job market

· Management seeking better ways to interpret and present data

· Companies needing a fresh outlook on data collection, analysis, and reporting

· Grant writers and fundraisers who need to report data

What you need to know to prepare for this course

· Basic high school level math

· How to use an ordinary or statistical calculator

· A readiness to learn descriptive statistics in an exciting new way

Welcome to your exciting adventure as a professional intern in our simulated company.