Data Analysis Boot Camp Classroom Live Detroit, MI August 17, 2020

Price: $1,900

This course runs for a duration of .

The class will run daily from 8:30 am CST to 4:30 pm CST.

Class Location: Detroit - Detroit, MI.

Enroll today to reserve your spot!

Space is limited. Enroll today.

Enroll Now

Description

This three-day course, organized into key topic areas, leverages straightforward business examples to explain practical techniques for understanding and reviewing data quality. You will learn how to make more informed, intelligent business decisions by analyzing data using Excel functions and the R programming language.

You will 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 decisions that drive your organization forward.

Who Should Attend:

This data analysis training course is designed for the following professions:

  • 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

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

This data analyst 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.

Labs for this course are primarily in Microsoft Excel, however, students will get an opportunity to practice using R in some labs. Labs for this course can also be taught using the Python programming language for private onsite clients only.

In This Data Analysis Training Course, You Will: 

  • 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

Course Overview

Part 1: The Value and Challenges of Data-Driven Disruption

  1. Objectives and expectations for this class
  2. Hurdles to becoming a data-driven organization
  3. Data empowerment
  4. Instilling data practices in the organization
  5. The CRISP-DM model of data projects

Part 2: Tying Data to Business Value

  1. What constitutes data-driven value?
  2. Requirements gathering: How to approach it?
  3. Kanban for data analysis
  4. Know your customers
  5. Stakeholder cheat sheets

CLASS EXERCISE: Data-driven project checklist

LAB: Data analysis techniques: Aggregations

Part 3: Understanding Your Data

  1. Data defined
  2. Data vs Information
  3. Types of data
    • Unstructured vs. Structured
    • Time scope of data
    • Sources of data
  4. Data in the real world
  5. The 3 V’s of data
  6. Data Quality
    • Cleansing
    • Duplicates
    • SSOT
    • Field standardization
    • Identify sparsely populated fields
    • How to fix common issues

LAB: Prioritizing data quality

Part 4: Analyzing Data

  1. Analysis Foundations
    • 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
  2. Averages in Data
    • Mean
    • Median
    • Mode
    • Range
  3. Central Tendency
    • Variance
    • Standard Deviation
    • Sigma Values
    • Percentiles
  4. Demystifying statistical models
  5. Data analysis techniques

LAB: Central Tendency

LAB: Variability

LAB: Distributions

LAB: Sampling

LAB: Feature Engineering

LAB: Univariate Linear Regression

LAB: Prediction

LAB: Multivariate Linear Regression

LAB: Monte Carlo Simulation

Part 5: Thinking Critically About Your Analysis

  1. Descriptive Analysis
  2. Diagnostic Analysis
  3. Predictive Analysis
  4. Prescriptive Analysis

Part 6: Data Analysis in the Real World

  1. Deployment of analyses
  2. Best practices for BI
  3. Technology Ecosystems
    • Relational databases
    • NoSQL databases
    • Big data tools
    • Statistical tools
    • Machine learning
    • Visualization and reporting tools
  4. Making data useable

Part 7: Data Visualization & Reporting

  1. Best practices for data visualizations
    • Visualization Essentials
    • Users and Stakeholders
    • Stakeholder Cheat Sheet
  2. Common presentation mistakes
  3. Goals of Visualization
    • Communication and Narrative
    • Decision Enablement
    • Critical Characteristics
  4. Communicating Data-Driven Knowledge
    • Formats & Presentation Tools
    • Design Considerations

Part 8: Hands-On Introduction to R and R Studio

  1. What is R?

LAB:  Intro to R Studio

LAB:  Univariate Linear Regression in R

LAB:  Multivariate Linear Regression in R

Prerequisites

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.

Other Available Dates for this Course

Classroom Live
January 27, 2020

Burlington, MA
$1,900.00
   8:30 am EST - 4:30 pm EST
view class details and enroll
Classroom Live
February 18, 2020

Denver, CO
$1,900.00
   8:30 am MST - 4:30 pm MST
view class details and enroll
Virtual Classroom Live
February 18, 2020

$1,900.00
   8:30 am MST - 4:30 pm MST
view class details and enroll
Classroom Live
February 24, 2020

San Francisco, CA
$1,900.00
   8:30 am PST - 4:30 pm PST
view class details and enroll
Virtual Classroom Live
March 23, 2020

$1,900.00
   8:30 am EST - 4:30 pm EST
view class details and enroll
Classroom Live
March 23, 2020

Atlanta, GA
$1,900.00
   8:30 am EST - 4:30 pm EST
view class details and enroll
Classroom Live
March 30, 2020

Austin, TX
$1,900.00
   8:30 am CST - 4:30 pm CST
view class details and enroll
Classroom Live
April 20, 2020

Philadelphia, PA
$1,900.00
   8:30 am EST - 4:30 pm EST
view class details and enroll
Classroom Live
April 27, 2020

San Jose, CA
$1,900.00
   8:30 am PST - 4:30 pm PST
view class details and enroll
Virtual Classroom Live
April 27, 2020

$1,900.00
   8:30 am PST - 4:30 pm PST
view class details and enroll
Classroom Live
May 18, 2020

Houston, TX
$1,900.00
   8:30 am CST - 4:30 pm CST
view class details and enroll
Virtual Classroom Live
May 18, 2020

$1,900.00
   8:30 am CST - 4:30 pm CST
view class details and enroll
Classroom Live
May 27, 2020

Minneapolis, MN
$1,900.00
   8:30 am CST - 4:30 pm CST
view class details and enroll
Virtual Classroom Live
June 22, 2020

$1,900.00
   8:30 am EST - 4:30 pm EST
view class details and enroll
Classroom Live
June 22, 2020

Reston, VA
$1,900.00
   8:30 am EST - 4:30 pm EST
view class details and enroll
Classroom Live
June 29, 2020

Columbus, OH
$1,900.00
   8:30 am EST - 4:30 pm EST
view class details and enroll
Virtual Classroom Live
July 20, 2020

$1,900.00
   8:30 am EST - 4:30 pm EST
view class details and enroll
Classroom Live
July 20, 2020

Jacksonville, FL
$1,900.00
   8:30 am EST - 4:30 pm EST
view class details and enroll
Classroom Live
July 27, 2020

Kansas City, MO
$1,900.00
   8:30 am CST - 4:30 pm CST
view class details and enroll
Virtual Classroom Live
August 17, 2020

$1,900.00
   8:30 am CST - 4:30 pm CST
view class details and enroll
Classroom Live
August 31, 2020

Seattle, WA
$1,900.00
   8:30 am PST - 4:30 pm PST
view class details and enroll
Virtual Classroom Live
August 31, 2020

$1,900.00
   8:30 am PST - 4:30 pm PST
view class details and enroll
Classroom Live
September 14, 2020

Denver, CO
$1,900.00
   8:30 am MST - 4:30 pm MST
view class details and enroll
Virtual Classroom Live
September 14, 2020

$1,900.00
   8:30 am MST - 4:30 pm MST
view class details and enroll
Classroom Live
September 21, 2020

Albany, NY
$1,900.00
   8:30 am EST - 4:30 pm EST
view class details and enroll
Classroom Live
September 28, 2020

Baltimore, MD
$1,900.00
   8:30 am EST - 4:30 pm EST
view class details and enroll
Classroom Live
October 13, 2020

Salt Lake City, UT
$1,900.00
   8:30 am PST - 4:30 pm PST
view class details and enroll
Virtual Classroom Live
October 13, 2020

$1,900.00
   8:30 am PST - 4:30 pm PST
view class details and enroll
Classroom Live
October 19, 2020

Chicago, IL
$1,900.00
   8:30 am CST - 4:30 pm CST
view class details and enroll
Classroom Live
October 26, 2020

Dallas, TX
$1,900.00
   8:30 am CST - 4:30 pm CST
view class details and enroll
Virtual Classroom Live
October 26, 2020

$1,900.00
   8:30 am CST - 4:30 pm CST
view class details and enroll
Classroom Live
November 09, 2020

St. Louis, MO
$1,900.00
   8:30 am CST - 4:30 pm CST
view class details and enroll
Virtual Classroom Live
November 09, 2020

$1,900.00
   8:30 am CST - 4:30 pm CST
view class details and enroll
Classroom Live
November 16, 2020

Washington, DC
$1,900.00
   8:30 am EST - 4:30 pm EST
view class details and enroll
Classroom Live
December 07, 2020

Cincinnati, OH
$1,900.00
   8:30 am EST - 4:30 pm EST
view class details and enroll
Virtual Classroom Live
December 07, 2020

$1,900.00
   8:30 am EST - 4:30 pm EST
view class details and enroll
Classroom Live
December 14, 2020

Portland, OR
$1,900.00
   8:30 am PST - 4:30 pm PST
view class details and enroll