data-analysis-boot camp 3 Days training in Seattle,WA
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
Seattle,WA , Seattle,WA
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