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These skills are suited for graduates or candidates looking to acquire office productivity skills. Entry Level Salary is $250
This gives learners the skills to develop applica-tions for android based devices. Examples of mobilebased applications that run on android devices areUber,Whatsapp,Instagram etc.
The skills is designed to enable students develop dy-namic and interactive websites and web based soft-ware products.
This impacts skills on how to create SMS services. A lot of software products are now built on top of the SMS technology. An example is how the banks use their banking system to send SMS notikcation to their customers after carrying out a transaction. For example withdrawing money from the ATM
This is a sort after skill in the mobile industry for software developers who want to acquire skills on how to create low-level software services, supported by all mobile devices. †he software service is mostly used by banks, betting companies and network providers like Safaricom and airtel.
Python is a general-purpose, versatile and popular programming language. It's great as a krst language because it is concise and easy to read, and it is also a good language to have in any programmer's stack as it can be used for everything from web development to software development and scientific applications.
The skill covers both 2D and 3D animation. You will learn necessary skills required to create animated heroes of your own. For example cartoons are designed by individuals who have skills in Animation.
Learn the principles of good graphic design and tools to enable you become a sought after graphic designer.
Learn the skills required to produce appealing visual content for an increasingly digitized global audience.
Learn videography skills to help you capture, edit and develop content for TV stations, and social media platforms.
We offer professional hands-on skills for people and businesses that need to thrive in a changing economy in network engineering. Our training helps network engi- neers maximize their investment in networking
Oracle Database is the most popular and widely used da- tabase in the world today. Invest in Oracle Database training, and become valuable and relevant in the It keld. Examples of companies that use Oracle databases are network providers manufacturing companies and knan- cial institutions like banks.
The skills is designed for students who would like to de-velop desktop based softwares products that run on Mi-crosoft software and hardware products. With skills inC# you can build software products that can be used bysupermarkets,schools,hospitals etc.
Get seasoned skills on processes, tools and policies necessary to prevent, detect, document and counter threats to digital and non-digital information. this skill empowers graduates to be an assets to companies, organizations and government bodies that require their data and information protected.
With this skills one is able to develop simple 2D and complex 3D games that can run on desktop and mobile devices. Examples of games that have been developed using these skills are Angry birds, Caddy crush etc
To be admitted into the discipline applicants must satisfy the minimum admission requirements as follows;
Data science is a concept used to tackle big data and includes data cleansing, preparation, and analysis. Data science, data analytics, and machine learning are some of the most in-demand domains in the industry right now. A combination of the right skill sets and real-world experience can help you can secure a strong career in these trending domains.
Big Data refers to humongous volumes of data that cannot be processed effectively with the traditional applications that exist. The processing of Big Data begins with the raw data that isn’t aggregated and is most often impossible to store in the memory of a single computer. Big Data is something that can be used to analyze insights which can lead to better decisions and strategic business moves.
Big Data for financial services: Credit card companies, retail banks, private wealth management advisories, insurance firms, venture funds, and institutional investment banks use big data for their financial services. The common problem among them all is the massive amounts of multi-structured data living in multiple disparate systems which can be solved by big data. Thus big data is used in a number of ways like:
Gaining new subscribers, retaining customers, and expanding within current subscriber bases are top priorities for telecommunication service providers. The solutions to these challenges lie in the ability to combine and analyze the masses of customer-generated data and machine-generated data that is being cre