Data Analysis Boot Camp

3 Day Classroom  •  4 Day Live Online
3 Day Training at your location.
Adjustable to meet your needs.
Individual:
$1995.00
Group Rate:
$1795.00
GSA Discount:
$1456.35
When training eight or more people, onsite team training offers a more affordable and convenient option.
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Individual
Onsite
Overview

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 a 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 the 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.

Techtown is a division of ASPE Training, an Endorsed Education Provider (EEP), this ASPE course has been submitted, reviewed and approved by the International Institute of Business Analysis (IIBA) to award CDUs for attendance.

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
Oct 30, 2017 – Nov 1, 2017    8:30am – 4:30pm Live Online
8:30am – 4:30pm
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Oct 30, 2017 – Nov 1, 2017    8:30am – 4:30pm Raleigh, North Carolina

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

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Nov 6, 2017 – Nov 8, 2017    8:30am – 4:30pm Phoenix, Arizona

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

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Nov 6, 2017 – Nov 8, 2017    10:30am – 6:30pm Live Online
10:30am – 6:30pm
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Nov 27, 2017 – Nov 29, 2017    8:30am – 4:30pm Saint Louis, Missouri

Saint Louis University - Workforce Ctr
3545 Lindell Blvd.
2nd Floor Wool Center
Saint Louis, MO 63103
United States

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Dec 4, 2017 – Dec 6, 2017    8:30am – 4:30pm Dallas, Texas

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

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Dec 11, 2017 – Dec 14, 2017    12:00pm – 4:30pm Live Online
12:00pm – 4:30pm
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Dec 18, 2017 – Dec 20, 2017    8:30am – 4:30pm New York, New York

Microtek New York City
180 Maiden Lane
Suite 1102
New York, NY 10038
United States

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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

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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

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Jan 22, 2018 – Jan 24, 2018    11:30am – 7:30pm Live Online
11:30am – 7:30pm
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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

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Feb 12, 2018 – Feb 14, 2018    9:30am – 5:30pm Live Online
9:30am – 5:30pm
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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

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

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

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

Norris Conference Center-Houston City Centre
816 Town and Country Blvd.
Suite 210
Houston, TX 77024
United States

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Mar 19, 2018 – Mar 21, 2018    9:30am – 5:30pm Live Online
9:30am – 5:30pm
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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

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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

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Apr 23, 2018 – Apr 25, 2018    11:30am – 7:30pm Live Online
11:30am – 7:30pm
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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

Relationships

  • 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

Correlation

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
  • K-MEANS
  • 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
Pre-Requisites

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.

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