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Data Analysis Boot Camp

3 Days Classroom Session   |  
4 Days Live Online
Classroom Registration
Group Rate:
(per registrant, 2 or more)
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Private Onsite Package

This course can be tailored to your needs for private, onsite delivery at your location.

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Professional Credits


ASPE is an IIBA Endorsed Education Provider of business analysis training. Select Project Delivery courses offer IIBA continuing development units (CDU) in accordance with IIBA standards.


NASBA continuing professional education credits (CPE) assist Certified Public Accountants in reaching their continuing education requirements.

This course offers 24.00 NASBA CPEs.


Select courses offer Leadership (PDU-L), Strategic (PDU-S) and Technical PMI professional development units that vary according to certification. Technical PDUs are available in the following types: ACP, PBA, PfMP, PMP/PgMP, RMP, and SP.

This course offers:
    21.00 PMP/PgMP Technical PDUs


Every day buzzwords like "analytics," "insights" and "big data," permeate the pages of our business journals. Companies and departments are well aware of their huge troves of data, and they have access to common tools for leveraging this data. However, much less available are the actual analysis skills to truly understand and realize the benefits of this information. The potential is very real, but comprehensive skills can be scarce, and outside consultants are expensive. If you have basic familiarity with Excel, this three-day course can teach you practical applied analysis techniques to leverage data for relatively common decision making methods.

This course, organized into key topic areas, leverages straightforward business examples to explain practical techniques for understanding and reviewing data quality and how to translate data into analysis of business problems to begin making informed, intelligent decisions. Get an overview of data quality and data management, followed by foundational analysis and statistical techniques. Throughout the course, you will learn to communicate about data and findings to stakeholders who need to quickly make the decisions that drive your organization forward.

At the end of the class, we provide an overview of the Certified Analytics Professional certification. We discuss business applications for professionals with the certification, the main focus areas behind the certification, test-preparation and test-taking anecdotes.

Informs logo ASPE Training is proud to announce that we are an official Registered Education provider (REP) with Informs® for the Certified Analytics Professional (CAP®) Exam.

In–Class Exercises, Demos, and Real-World Case Studies

This data analysis training class is a lively blend of expert instruction combined with hands-on exercises so you can practice new skills. Leave prepared to start performing practical analysis techniques the moment you return to work. Every Data Analysis Boot Camp instructor is a veteran consultant and data guru who will guide you through effective best practices and easily-accessible technologies for working with your data. Through a combination of demonstrations and hands-on practice, you will learn to use data analysis techniques which are typically the domain of expensive consultants.

Identify opportunities, manage change and develop deep visibility into your organization
Understand the terminology and jargon of analytics, business intelligence and statistics
Learn a wealth of practical applications for applying data analysis capability
Visualize both data and the results of your analysis for straightforward graphical presentation to stakeholders
Learn to estimate more accurately than ever, while accounting for variance, error, and Confidence Intervals
Practice creating a valuable array of plots and charts to reveal hidden trends and patterns in your data
Differentiate between "signal" and "noise" in your data
Understand and leverage different distribution models, and how each applies in the real world
Form and test hypotheses – use multiple methods to define and interpret useful predictions
Learn about statistical inference and drawing conclusions about the population
Upcoming Dates and Locations
Guaranteed To Run
Jan 17, 2018 – Jan 19, 2018    8:30am – 4:30pm Raleigh , North Carolina

ASPE Training
114 Edinburgh South Dr
Suite 200
Cary, NC 27511
United States

Jan 22, 2018 – Jan 24, 2018    8:30am – 4:30pm San Jose , California

Please call ASPE for location details
at 1-877-800-5221
San Jose, CA 95101
United States

Jan 22, 2018 – Jan 24, 2018    11:30am – 7:30pm Live Online Register
Feb 12, 2018 – Feb 14, 2018    8:30am – 4:30pm Austin , Texas

Embassy Suites Austin Central
5901 North IH-35
Frontage Rd
Austin, TX 78723
United States

Feb 12, 2018 – Feb 14, 2018    9:30am – 5:30pm Live Online Register
Feb 21, 2018 – Feb 23, 2018    8:30am – 4:30pm San Diego , California

San Diego Training and Conference Center
350 Tenth Avenue
Suite 950
San Diego, CA 92101
United States

Mar 12, 2018 – Mar 14, 2018    8:30am – 4:30pm Chicago , Illinois

Microtek Chicago
230 W. Monroe
Suite 900
Chicago, IL 60606
United States

Mar 19, 2018 – Mar 21, 2018    8:30am – 4:30pm Houston , Texas

Texas Training and Conference
11490 Westheimer Rd.
Suite 600
Houston, TX 77077
United States

Mar 19, 2018 – Mar 21, 2018    9:30am – 5:30pm Live Online Register
Apr 16, 2018 – Apr 18, 2018    8:30am – 4:30pm Omaha , Nebraska

Doubletree Hotel & Executive Meeting Center
1616 Dodge Street
Omaha, NE 68102
United States

Apr 23, 2018 – Apr 25, 2018    8:30am – 4:30pm Sacramento , California

UC Davis Extension, Sutter Square Galleria Center
2901 K St
Room 305
Sacramento, CA 95816
United States

Apr 23, 2018 – Apr 25, 2018    11:30am – 7:30pm Live Online Register
May 14, 2018 – May 16, 2018    8:30am – 4:30pm Jacksonville , Florida

Holiday Inn Baymeadows
11083 Nurseryfields Drive
Jacksonville, FL 32256
United States

May 21, 2018 – May 23, 2018    8:30am – 4:30pm Dallas , Texas

Microtek Dallas
5430 Lyndon B Johnson Fwy
Three Lincoln Centre, Suite 300
Dallas, TX 75240
United States

May 21, 2018 – May 23, 2018    9:30am – 5:30pm Live Online Register
Jun 11, 2018 – Jun 13, 2018    8:30am – 4:30pm Baltimore , Maryland

Mt Washington Conference Ctr
5801 Smith Ave
Baltimore, MD 21209
United States

Jun 18, 2018 – Jun 20, 2018    8:30am – 4:30pm Phoenix , Arizona

Dynamic Worldwide
4500 S. Lakeshore Dr
Suite 600
Tempe, AZ 85282
United States

Jun 18, 2018 – Jun 20, 2018    10:30am – 6:30pm Live Online Register
Jul 16, 2018 – Jul 18, 2018    8:30am – 4:30pm Kansas City , Kansas

Centriq Training
8700 State Line Road
Suite 200
Leawood, KS 66206
United States

Jul 23, 2018 – Jul 25, 2018    8:30am – 4:30pm Live Online Register
Course Outline

1. Data Fundamentals

Course Overview and Level Set

  • Objectives of the class
  • Expectations for the class

Understanding "real-world" data

  • Unstructured vs. structured
  • Relationships
  • Outliers
  • Data growth

Types of Data

  • Flavors of data
  • Sources of data
  • Internal vs. external data
  • Time scope of data (lagging, current, leading)

LAB: Getting started with our classroom data 

Data-related Risk

  • Common identified risks
  • Effect of process on results
  • Effect of usage on results
  • Opportunity costs, Tool investment
  • Mitigating common risks

Data Quality

  • Cleansing
  • Duplicates
  • SSOT
  • Field standardization
  • Identifying sparsely populated fields
  • How to fix some common issues

LAB: Data Quality


  • Finding common attributes
  • 1:N, N:N, 1:1

LAB: Relationships in a dataset

2. Analysis Foundations

Statistical Practices: Overview

  • Comparing programs and tools
  • Words in English vs. data
  • Concepts specific to data analysis

Domains of data analysis

  • Descriptive statistics
  • Inferential statistics
  • Analytical mindset
  • Describing and solving problems

3. Analyzing Data

Averages in data

  • Mean
  • Median
  • Mode
  • Range

Central Tendency

  • Variance
  • Standard deviation
  • Sigma values
  • Percentiles
  • Using these concepts to estimate things

LAB: Hands-On – Central Tendency

LAB: Hands-On – Linear Regression

Overview of commonly useful distributions

  • Probability distribution
  • Cumulative distribution
  • Bimodal distributions
  • Skewness of data
  • Pareto distribution


LAB: Distributions

Analytical Graphics for Data

  • Categorical – bar charts
  • Continuous – histograms
  • Time series – line charts
  • Bivariate data – scatter plots
  • Distribution – box plot

4. Analytics & Modeling

ROI & Financial Decisions

Common uses of financial data

  • Earned Value
  • Actual Cost, BAC and EAC
  • Expected Monetary Value
  • Cost Performance/Schedule Performance Index

Common uses for random numbers

  • Sampling
  • Simulation
  • Monte Carlo analysis
  • Pseudo-random sequences

Demo / Lab – Random numbers in Excel

An introduction to Predictive Analytics

  • A discussion about patterns
  • Regression and time series for prediction
  • Machine learning basics
  • Tools for predictive analytics

Demo / Lab – Getting started with R

Understanding Clustering

  • Segmentation
  • Common algorithms
  • PAM

Fundamentals of Data Modeling

  • Architecture and analysis
  • Stages of a data model
  • Data warehousing
  • Top-down vs. Bottom-up

Understanding Data Warehousing

  • Context tables
  • Facts
  • Dimensions
  • Star vs. Snowflake Schema


5. Visualizing & Presenting Data

Goals of Visualization

  • Communication and Narrative
  • Decision enablement
  • Critical characteristics

Visualization Essentials

  • Users and stakeholders
  • Stakeholder cheat sheet
  • Common missteps

Communicating Data-Driven Knowledge

  • Alerting and trending
  • To self-serve or not
  • Formats & presentation tools
  • Design considerations


Who should attend
  • Business Analyst, Business Systems Analyst, CBAP, CCBA
  • Systems, Operations Research, Marketing, and other Analysts
  • Project Manager, Program Manager, Team Leader, PMP, CAPM
  • Data Modelers and Administrators, DBAs
  • IT Manager, Director, VP
  • Finance Manager, Director, VP
  • Operations Supervisor, Manager, Director, VP
  • Risk Managers, Operations Risk Professionals
  • Process Improvement, Audit, Internal Consultants and Staff
  • Executives exploring cost reduction and process improvement options
  • Job seekers and those who want to show dedication to process improvement
  • Senior staff who make or recommend decisions to executives

If you have basic familiarity with Excel, this three-day course can teach you practical applied analysis techniques to leverage data for relatively common decision making methods.

Download the brochure