These skills are meant for graduates/candidates who are have interest in programming through different platforms. Entry Level Salary is $450
This gives learners the skills to develop applications for android based devices. Examples of mobile-based applications that run on android devices are Uber,Whatsapp,Instagram etc.
Web Design & Development
The skills is designed to enable students develop dynamic 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 notification 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.
Social media marketing
Learn to market content to a global audience on Facebook, Instagram, Twitter, Youtube and emerging platforms.
These Skills are meant for graduates/candidates who would like to take professional based courses. Entry Level Salary is $800
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 engineers maximize their investment in networking
Oracle Database is the most popular and widely used database in the world today. Invest in Oracle Database training, and become valuable and relevant in the IT field. Examples of companies that use Oracle databases are network providers manufacturing companies and financial institutions like banks.
C Sharp Development
The skills is designed for students who would like to develop desktop based softwares products that run on Microsoft software and hardware products. With skills inC# you can build software products that can be used bysupermarkets,schools,hospitals etc.
Information Security and Ethical Hacking
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, Candy crush etc
This skills gives software developers skills on how to design and construct robots that are integrated with software based applications. With skills in this skills our graduates are able to connect electronic appliances like microwaves, fridges and sets with mobile devices.
A trainee's well-being is an essential part of our postgraduate training programs, we focus on sharpening the skills you have to perfection. This is attained by pinpointing the weak points in development that a trainee might have and we turn them to more than just strengths but key highlights in your development career.
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.
Skills that Make a Data Scientist
Strong knowledge of Python, SAS, R, Scala
Hands-on experience in SQL database coding
Ability to work with unstructured data from various sources like video and social media
Understand multiple analytical functions
Knowledge of machine learning
Skills Required to Become a Data Analyst?
Knowledge of mathematical statistics
Fluent understanding of R and Python
Understand PIG/ HIV
Applications of Data Science
Internet search: Search engines make use of data science algorithms to deliver best results for search queries in a fraction of seconds.
Digital Advertisements: The entire digital marketing spectrum uses the data science algorithms - from display banners to digital billboards. This is the mean reason for digital ads getting higher CTR than traditional advertisements.
Recommender systems: The recommender systems not only make it easy to find relevant products from billions of products available but also adds a lot to user-experience. A lot of companies use this system to promote their products and suggestions in accordance with the user’s demands and relevance of information. The recommendations are based on the user’s previous search results.
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.
Applications of Big Data:
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:
Big Data in communications:
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