The Data Analysis Boot Camp equips candidates with the knowledge, techniques and models to transform data into usable insights for making business decisions. The course simplifies complex concepts, breaks down math jargon and helps navigate complex symbols and equations. These skills enable candidates to zoom in on the most useful data and apply it in the real world. It also provides practical techniques for presenting findings to quickly make decisions that drive organizations forward. These tools include graphic presentation techniques and simplified models to transform the results of data analysis into digestible, easy-to-understand insights and usable recommendations.
Duration Learning Credits
3 days – 24 hours of 24 PDU’s
Session
Public Classroom Pricing:
Early Bird Price: AUD 2295.00
Regular Price: AUD 2595.00
Instructor-Led Virtual Live Pricing:
Early Bird Price: AUD 1995.00
Regular Price: AUD 2295.00
Private Group/ In-House Learning:
Have a group of 3 or more people?
Register yourself with a special pricing and
request the training exclusively
Data Fundamentals
● Course Overview and Level Set
● Understanding “Real-world” Data
● Types of Data
LAB: Hands-on – Profiling Data
● Data-related Risk
● Data Quality
LAB: Hands-on – Dealing with Duplicates
● Relationships
LAB: Hands-On – Data Relationships using PowerPivot
Analysis Foundations
● Statistical Practices: Overview
● Domains of Data Analysis
Analyzing Data
● Statistical Practices: Overview
● Averages in Data
● Central Tendency
LAB: Hands-On – Central Tendency
LAB: Hands-On – Linear Regression
● Distributions
● Correlation
LAB: Hands-On – Distributions in Consumer Finance Data
● Analytical Graphics for Data
Analytics & Modeling
● ROI & Financial Decisions
LAB: Hands-On – Helpful Financial Metrics in Excel
● Using Financial Data
● Random Numbers
Demo / Lab – Monte Carlo Analysis in Excel
● Predictive Analytics
Demo / Lab – Using R for Powerful Analysis
● Clustering
● Data Modeling
● Data Warehousing
Visualizing & Presenting Data
● Goals of Visualization
● Visualization Essentials
● Demo / Lab – Improving a Difficult Report
● Communicating Data-Driven Knowledge
Anyone involved in operations, project management, business analysis, or management would benefit from this course. This training is invaluable for:
● Business Analysts, Business Systems Analysts, CBAP, CCBA
● Systems, Operations Research, Marketing, and other Analysts
● Project Managers, Program Managers, Team Leaders, PMP, CAPM
● Data Modelers and Administrators, DBAs
● IT Managers, Directors, VPs
● Finance Managers, Directors, VPs
● Operations Supervisors, Managers, Directors, VPs
● Risk Managers, Operations Risk Professionals
● Process Improvement, Audit or Internal Consultants and Staff
● Executives exploring cost reduction and process improvement options
● Professionals who want to show dedication to process improvement
● Senior staff who make or recommend decisions to executive
● Identify opportunities, manage change and develop deep visibility into the organization
● Understand analytics, business intelligence and statistics terminology
● Practical applications of data analysis across business
● Data visualization and effective presentation of data analysis results
● Create more accurate projections while accounting for variance, error, and confidence intervals
● Using the array of data plots and chart formats to analyse underlying data trends and patterns through practical exercises
● Differentiating data “signal” from data “noise” – separating critical from extraneous data
● Understand and leverage different distribution models, and the real world applications
● In-depth practical statistics knowledge, and how it relates to risk, probability, results and action
● Develop a robust, practical understanding of probability theory – and how to leverage it
● Form and test hypotheses – using multiple methods to define and interpret projections
● Statistical inference and interpretation of population wide conclusions
● Substantial set of practical modeling skills
● Using computation to mine data, run simulations, find data clusters and critical attributes
● Application of data for practical use: Reporting, Dashboards, Metrics, Quality, Financial Modeling and more
● Hands-on predictive analytics knowledge including key terminology and algorithms
● Forecasting future results, finding opportunities for process improvement, and analyzing past performance
● Real-world labs using data analysis tools as per the course syllabus
● Applicability of data analysis skills and methods to candidates’ own scenarios with a data expert instructor over the three days