This interactive, applications-driven 5-day course will highlight the added value that data analytics can offer a professional as a decision support tool in management decision-making. It will show the use of data analytics to support strategic initiatives; inform policy information; and direct operational decision-making. The course will emphasize applications of data analytics in management practice; focus on the valid interpretation of data analytics findings; and create a clearer understanding of how to integrate quantitative reasoning into management decision-making. Exposure to the discipline of data analytics will ultimately promote greater confidence in the use of evidence-based information to support management decision-making.
This course is directed primarily to meet the needs of various industries, information technology, Engineering Consultants / EPC, Manufacturing Industries, and Govt. & private social sectors including Oil & Gas, Petrochemical, Refinery, Power Plant, Fabrication Industries, Chemical Industries and IT industries Aeronautic Industries, Construction projects, and any type and size of the organization.
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.
This interactive, applications-driven 5-day course will highlight the added value that data analytics can offer a professional as a decision support tool in management decision-making. It will show the use of data analytics to support strategic initiatives; inform policy information; and direct operational decision-making. The course will emphasize applications of data analytics in management practice; focus on the valid interpretation of data analytics findings; and create a clearer understanding of how to integrate quantitative reasoning into management decision-making. Exposure to the discipline of data analytics will ultimately promote greater confidence in the use of evidence-based information to support management decision-making.
As the amount of research and industry data being collected daily continues to grow, intelligent software tools are increasingly needed to process and filter the data, detect new patterns and similarities within it, and extract meaningful information from it. Data mining and predictive modeling offer a means of effective classification and analysis of large, complex, multi-dimensional data, leading to the discovery of functional models, trends and patterns.
This course provides you with the tools you need to put data to work: how to set up experiments, how to collect data, how to learn from data, and make decisions to how to navigate the organizational, legal, and ethical issues involved in data-based decision making. The program teaches widely-used frameworks of business analytics: biases, experimentation, descriptive analytics, prescriptive analytics, predictive analytics. Participants then implement the frameworks they have learned through assignments.
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.
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.
This course enables you to boost your personal and interpersonal skills when you represent your organization nationally and internationally