Data science has proved its existence will last for a long time and possibly make work easier by automating repetitive tasks and analyzing large data sets within seconds in time. Individuals who find themselves in a data science career path need soft skills to be successful in their career. Success in technical track career such …
What is Data Data is a collection of words, images, sound, letters and observations for analysis, reference and research purpose. What is Redundancy in Data Data redundancy is the duplication of data in a table or database. When data is duplicated we consume more memory space in storage devices . Back-up storage devices can be …
Image recognition applications are mobile friendly and help in identification of objects. As a result of advancement in artificial intelligence we have witnessed improvement in computer vision, facial recognition and categorization of objects based on machine learning algorithms. Google Lens Google lens is a wonderful exploratory tool with a smartphone camera for recognizing monuments, locations, …
Telepresence is the use of audio and video enhanced technology tools for communication between individuals at different locations. Telepresence has helped transition into these, Telehealth and Telemedicine. Telehealth is the modern socialization of medicine using electronic gadgets that aid audio and video conferencing for clinical services, health research, training and education to connect people at …
Microsoft Excel and Access are data analysis tools but differ in some criteria. Excel mainly deal with spreadsheets complex numerical data, creating charts and Access deal with database program by collecting, sorting and manipulating data. Both Microsoft software’s manipulate data and have better functions depending on what each user wants to achieve. Excel is best …
Data science massive effect on technology trends has seen a constant growth in different industries including transportation, e-commerce, healthcare, gaming and bioinformatics in form of artificial intelligence, machine learning, deep learning and natural language processing. Big-data Analytics Data collection, deductions, visualization and comparisons made from analyzing large data sets is enormous. Emergence of Exabyte’s, Zettabytes …
Data go through transformation stages with the help of tools and human involvement to create a sustainable information for users. Data Transformation Stages Include The Following: Data capture Data provisioning Data Analysis Data Capture A process of data collection. Data can be captured electronically with the help of tools such as bar code technology, ICR …
Data Science can be simplified in definition as a broad term for methodologies of collecting, processing, visualizing data and making use of information for various purposes. Also known as a uniform concept of statistics, data analysis, machine learning and other methods to analyze, understand and predict data outcomes. It has immensely influenced businesses, economics, governments, …