DIPLOMA OPTIONS: UNDERGRADUATE & GRADUATE certificate

Categories: Design

About Course

. DIPLOMA OPTIONS: UNDERGRADUATE & GRADUATE CERTIFICATES

The syllabus in this course comprises six (6) tutorials where the course covers:

i.        Stages in Data Processing and Data Storytelling;

ii.      Word Processing and the Web Paradigm;

iii.    Nature of Business Data Processing;

iv.    Statistical Data and Financial Control;

v.      Centralized vs Distributed Data Processing.

vi.    Human Resources Management

While business and finance leaders are eager to create long-term value, they also expect to see short-term wins. When organisations consider migrating from manual planning processes towards intelligent planning solutions for finance, sales and workforce planning, time to value is top of mind for all stakeholders involved.

In a perfect world, a new solution should be adaptable, augment decision-making with machine-learning predictions, offer low code/no code implementation and require minimal personnel investment to get off the ground. This may sound like a lot to ask for, but it is 100% possible to achieve.

FIRST TUTORIAL

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UGC1

Stages in Data Processing and Data Storytelling

In this tutorial, our task is to study:

·         The ability to effectively communicate with data;

·         Stages in data processing and their interpretation;

·         Data storytelling from the findings of data analysis;

·         Use of a dashboard for effective data storytelling

·         Data communication Strategy

The need for data processing is now widely realised and reflected in every field of work. This can be in a business or commercial organisation or educational research institution. This data processing is a multidimensional process which involves almost every aspect of human life. Generally speaking, the term data processing is applied where one needs to collect innumerable data files from different sources that include population census, manufacturing and service deliverance. Data/information have to be arranged in a way that can be practically beneficial for the purpose organisations have gathered the material. This then involves synchronisation of collected data from different sources in order to convert it to a readable format.

The whole purpose is to make easy to understand and retrieve the specific information needed for decision making. There are various data processing methods which include manual data processing, mechanical data processing and electronic data processing. When dealing with big data and performing data mining, it becomes essential that data processing be carried out in a professional manner. With the emergence of fields like data science, data analysis, big data etc., the need to process data and to understand the importance of processing the data is crucial.

Without data processing, companies limit their access to the very data that can hone their competitive edge and deliver critical business insights. This is one reason why it’s crucial for all organisations, including banking, transportation and other services to understand the necessity of processing all their data, and how to go about it.

SECOND TUTORIAL

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UGC2

Word Processing and the Web Paradigm

In this tutorial, emphasis will be on:

·         Understanding of the term word processing;

·         Common word processing applications;

·         Word processing revolution;

·         The Victory of the Web Paradigm

·         Main Characteristics of a web content

·         Metadata description

Word processing is the act of using a computer to transform written, verbal, or recorded information into typewritten or printed form. A typical word-processing system consists of a printer that is linked to a computer/laptop. In many such systems the input terminal consists of an alphanumerical keyboard and a visual display. The display enables the keyboard operator to input and also check, edit, or revise the information to be entered. The text of the document, including all corrections, additions, and deletions made by the keyboard operator, is recorded by the computer. When the final draft is ready, the operator prints as many copies of the document as required.

Of all the computer applications in use, word processing is by far the most common. The ability to perform word processing requires a computer and a special type of computer software called a word processor. A word processor is a program designed to assist with the production of a wide variety of documents, including letters, memoranda, and manuals, rapidly and at relatively low cost. A typical word processor enables the user to create documents, edit them using the keyboard and mouse, store them for later retrieval, and print them from a printer.

THIRD TUTORIAL

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Nature of Business Data Processing

In this tutorial, we will look at:

·         Manufacturing accounting systems;

·         Structure of a manufacturing accounting system;

·         Concept of a file in business activity;

·         Characteristics of an effective data processing system;

·         Components of accounting information systems in                   business.

A business data processing system is an artificial man-made entity, which must be created, developed, implemented and managed. Like all managerial projects, it requires planning, organising, co-ordinating, controlling and staffing. The creation of a data processing system requires a combination of art, science, theory, principles, methods and practice.

Ever since human beings formed organisations, records have been kept to make possible the functioning of organisations. Whether the organisation relates to church, military, business (big or small), government, or public service, records must be kept. Hospitals must keep track of patients; banks keep financial records, savings, etc. Department stores keep track of sales and charges; post offices and other organisations like DHL or FEDEX keep track of registered mail and packages; schools keep records of registration, grades, student loans; insurance companies keep records of policies, etc. This also involves competition and the need to minimise on expenses in order to make the business viable.

Thus, for a business firm to survive, it is obligatory that materials are purchased at the lowest possible cost, capital is invested in a prudent manner, facilities and equipment are operated with the greatest efficiency, personnel and labour are paid on a competitive scale, healthy and satisfactory working conditions are provided and high-quality products are produced, priced correctly and delivered on time.

A modern business firm cannot operate just by relying on past experience; it must undergo continual change and improvement in its operations. My amoeba theory. To operate such a firm without a flexible, quick response and efficient information system, which provides data on current operations and forecasts changing conditions, would be impossible.

FOURTH TUTORIAL

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Statistical Data and Financial Control

In this tutorial, the purpose is to examine statistical data as applied in business circumstances.

·         How the mean, median, and mode work in data analysis;

·         Descriptive analytics in comparison to predictive analytics;

·         Financial control implementation strategies;

·         Examples of financial controls in business;

·         Budgeting and types of budgets;

·         Steps in the budgeting process.

Business statistics compile information about businesses and the industries, consumers and economies that impact them. This statistical data ultimately helps guide the administrative decision-making process that determines the directions a company might head in. Thus, financial control has now become an essential part of any company’s finances. Hence, it is very important to understand the meaning of financial control, its objectives and benefits, and the steps that must be taken if it is to be implemented correctly.

FIFTH TUTORIAL

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Centralized vs Distributed Data Processing

This tutorial will major in the following:

·         Centralised versus Distributed data networks;

·         Classification of distributed data processing power;

·         Database management system (DBMS);

·         File handlers and database packages.

When a business comprises of only one factory or office as opposed to a group of factories or other business units, then a centralised data processing system would be appropriate. If a corporation has many branches, as more or less all large corporations are, a centralised data processing system may not be the best for the total situation. Even if the centralised data processing system utilises all the data processing resources most effectively, the combined resources of the corporation may not be used in the best possible manner.

SIXTH TUTORIAL

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Human Resources Management

It’s logical to link this lecture to the database management systems in the previous fifth tutorial. This tutorial will major in the following:

·         Contemporary HR Trends

·         Creating Software for HR Management

·         Human Resource Life Cycle

·         Relevance of Emotional Quotient

With the advent of Cloud technology, many companies believe that they need to adopt it in order to modernise their HR functions, creating opportunities that allow them to pursue one or more emerging trends in human resources and aim to provide a complete understanding of their employees and finally, to improve the workplace. The new technological trends in Human Resources will develop solutions that will reward employees’ commitment, diversify companies, expand internal wellness solutions and employ artificial intelligence to improve relationships and human resources.

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