Business Applications of Statistics and Data Analytics - ONLINE
Business Applications of Statistics and Data Analytics covers the latest and most trusted techniques for analyzing data with instruction in data cleaning, multivariate analysis, hypothesis testing, survey design and analysis, data visualization and regression diagnostics.
This course will cover data analysis, statistics and quantitative methods with a focus on hands-on, applied problems. It will discuss the collection and analysis of data, including survey and sampling methods, cleaning and coding data, and structuring datasets. It will also cover statistical techniques including basic probability, probability distributions, descriptive statistics, confidence intervals, and hypothesis testing. In addition, the course will cover various quantitative methods including analysis of variance, simple and multivariate regression, discrete models, diagnostics, and an introduction to basic big data analysis. The course also covers basic project planning and an overview of how to communicate technical concepts such as elasticity, regression estimates, and forecasting.
This offering is a major element of NABE's Certified Business Economist program, the certification in applied economics and data analytics. More information
See below for more information on the course, including pricing and future offerings.
- Basic probability
- Sampling and Survey methods
- Probability distributions
- Cleaning and Coding Data
- Descriptive Statistics
- Introduction to Basic Big Data
- Confidence Intervals
- Hypothesis Testing
- Basic Correlation and Regression Analysis
- Discrete Methods
- Project Planning
- Communicating Technical Results
Questions to be Addressed
- How do I decide who to survey?
- How can I tell if a distribution is normal and what do I do if it isn't?
- What do I do with missing data?
- What are the consequences of using unweighted data?
- How do I start working with really large datasets and is there any advantage of doing so?
- How do I work with uncertainty? Can I place any confidence in my results?
- How "good" are my regression estimates?
- Which functional form is best?
- How do I transform my data?
- How do I create an index, and why are they useful?
- Can I really use Excel to produce "reliable" estimates?
- Have I checked and fixed common problems like heteroskedasticity and multicollinearity?
- Can I provide useful statistical insight to problems without fancy software?
- What is statistical significance? How can I make the results "useful?"
For more info, view the Course Table of Contents.
NABE Member Early-Bird: $650
U.S. Government Employee Early-Bird: $700
Non-Member Early-Bird: $800
Spring 2020 - February 19 - April 15, 2020
For future offerings of NABE's other Certified Business Economist programs, check the CBE calendar.