Live Webinar - Cybersecurity Career Advancement & Protecting Organizations

closeClose

Data Analysis Boot Camp

Course Details
Code: DATA-ANA-BC
Tuition (USD): $1,995.00 • Classroom (3 days)
$1,995.00 • Virtual (3 days)

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. 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.

Skills Gained

  • 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

Who Can Benefit

  • 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

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.

Course Details

1. Data Fundamentals

  • Course Overview and Level Set
  • Understanding "real-world" data
  • Types of Data
  • LAB: Getting started with our classroom data
  • Data-related Risk
  • Data Quality
  • LAB: Data Quality
  • LAB: Relationships in a dataset

2. Analysis Foundations

  • Statistical Practices: Overview
  • Domains of data analysis

3. Analyzing Data

  • Averages in data
  • Central Tendency
  • LAB: Hands-On – Central Tendency
  • LAB: Hands-On – Linear Regression
  • Overview of commonly useful distributions
  • Correlation
  • LAB: Distributions
  • Analytical Graphics for Data

4. Analytics & Modeling

  • ROI & Financial Decisions
  • Common uses of financial data
  • Common uses for random numbers
  • Demo / Lab – Random numbers in Excel
  • An introduction to Predictive Analytics
  • Demo / Lab – Getting started with R
  • Understanding Clustering
  • Fundamentals of Data Modeling
  • Understanding Data Warehousing

5. Visualizing & Presenting Data

  • Goals of Visualization
  • Visualization Essentials
  • Communicating Data-Driven Knowledge