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Data Analysis 3 Days Virtual Live Bootcamp in Hobart

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Data Analysis 3 Days Virtual Live Bootcamp in Hobart


Course Description :

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.

Course Outline :

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



Target Audience :

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 executives

Learning Objectives :



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



Course Agenda :

Day 1



Data Fundamentals



Analysis Foundations



Day 2



Analyzing Data



Analytics and Modeling



Day 3



Visualizing and Presenting Data

Ticket Information Ticket Price
Early Bird Registration AUD 2,599
Standard Registration AUD 3,599



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