Skip to main content

Post an event

Sign in

Disclaimer: Due to the current uncertainty regarding coronavirus, many events are being cancelled. Please contact the event organiser directly via the contact details on the listing if you are unsure.

Mangates presents

Data Analysis 3 Days Virtual Live Bootcamp in Hobart

  • Wed 5th Aug 2020
  • Hobart TAS 7000

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


Category Community