Good data selection and/or collection are the foundation for effective data analysis. This demands a thorough understanding of all data kinds and the various sources that they come from. Additionally, by arranging it correctly, all of the data may be easily shown under various charts, and they can all be described using appropriate and effective descriptive statistics measures.
A high-level overview of key Data Science disciplines is provided in this course. Along with an overview of frequent advantages, difficulties, and adoption problems, a fundamental grasp of data science from both a commercial and technological standpoint is given.
A high-level overview of key Data Science disciplines is provided in this course. Along with an overview of frequent advantages, difficulties, and adoption problems, a fundamental grasp of data science from both a commercial and technological standpoint is given.
A document management system is a computer system used to track and store electronic documents. It is usually capable of keeping track of the different versions modified by different users. The term has some overlap with the concepts of content management systems. It is often viewed as a component of enterprise content management systems and related to digital asset management, document imaging, workflow systems, and records management systems. This course shows participants how to deal with documents in an electronic way to get rid of the papers hard copy which takes a lot of space and time.
A document management system is a computer system used to track and store electronic documents. It is usually capable of keeping track of the different versions modified by different users. The term has some overlap with the concepts of content management systems. It is often viewed as a component of enterprise content management systems and related to digital asset management, document imaging, workflow systems, and records management systems. This course shows participants how to deal with documents in an electronic way to get rid of the papers hard copy which takes a lot of space and time.
Data Science for Executives is an intensive, five-day learning experience that expertly integrates academic theory and hands-on, practical business application of the concepts and ideas explored. You will explore the concepts using contemporary case studies, demonstrations, group work discussion and highly interactive sessions with faculty. You also benefit from a full glossary of terms and vocabulary and direct access to four expert practitioner guest speakers who will present work from a variety of applied fields in data science.
Business Analysis is the planning, eliciting, analyzing, communication, and management of the logical requirements of a business before a business information system is designed and built. Business analysis requires specialized knowledge and skills. The process of identifying and defining business requirements is very different from applying technology to address business requirements. Participants will gain knowledge of the best practices and methods for analyzing the enterprise, planning and monitoring business analysis activities, eliciting requirements, analyzing requirements, managing and communication requirements, and assessing and validating business solutions.
Though many professionals use Excel on a daily basis, Excel has many undiscovered functions that can increase productivity even further. In this course, we will explore one of the relatively new tools brought by Excel to help professionals in cleaning up and preparing data for further analysis and reporting: Power Query. This tool is available as an "Add-in" on Excel 2013 but comes readily available on Excel 2016 and newer versions. In addition, we will cover many features of pivot tables which is the main reporting tool in Excel. We will also take a look at PowerPivot, another powerful tool in Excel that will put your pivot tables on turbo. While pivot tables have some limitations, PowerPivot can be used when you have significantly big data. The last part of the course is dedicated to automating your Excel reports and reconciliation through the use of macros.
This course aims to teach a suite of algorithms and concepts to a diverse set of participants interested in the general concept of fitting data to models. It starts with mostly simple linear algebra and computational methods, and introduces some more difficult mathematical concepts towards the end. This method also, by design, fits in with our approach of morning lectures and afternoon practice on personal computers. The combined teaching system provides opportunities for much hands-on learning and participants leave the course with practical knowledge of the basic algorithms.