PROGRAMSShort Term Courses
Microsoft Excel is extremely valuable for businesses, which use Excel features to record expenditures and income, plan budgets, and chart data. In fact, it is the very first requirement when applying for a job. This is the most comprehensive and reliable programme for learners who want to learn the advanced features of Excel, including latest technologies like XML and automation that will provide the learners with an edge over others.
Concepts and knowledge of C and C++ are the stepping stones to enter the world of IT Programming. Learning these 2 programming languages will ensure an easy understanding of most modern-day programming languages. Questions on concepts of C and C++ yet remain the favorite with Employers recruiting programmers for S/W Development roles. While C as a language provides dual features of portability to run on any platform as well as the power to control hardware, C++ is an object-oriented programming language for application development and is simple, modern and general-purpose.
Python is a powerful general-purpose object-oriented programming language. It is also an interpreter compiled byte code programming language and an open-source scripting language. Thanks to its versatility, it continues to reign as the tool of choice for companies for data analysis and visualization. With NIIT’s Python Programming and Data Exploration Programme we enable you to speak the language of data.
Key Features
Java is the most popular programming language for Android smartphone applications as well as for developing new-age technology like the Internet of Things. It is an Object-Oriented Programming language that helps to develop real-life portable applications.
We can create both, CUI-based application and GUI-based application, by using Java. This programme helps the learners to
Social Media marketers are in great demand due to social media gaining importance as a marketing platform for businesses. This program equips you with hands-on experience in creating social media marketing strategies and running social media marketing campaigns. Learners will
As the line between what can be done on the front end versus back end increasingly blurs, and like things that were previously only possible on the back end become possible on the front end, more developers are becoming what we call “full-stack.”. There is a rise in companies listing full-stack development on job requirements.
They help understand and translate business problems into analytical problems, break down analytical problems into chunks of solvable modules, identify the right hypothesis and data to be used for solving a problem. They extract and work on enormous amounts of data to check data quality. A research analyst works with data to derive valuable and consumable insights to improve business quality. Performs root cause analysis to confirm the problem while working with the business stakeholder.
Works on the data from different channels to derive customer insights and analytics. Designs the dashboards and reports on visualisation based on strong visualisation principles and best practices to make them simple, elegant, consumable and actionable. Consults with stakeholders to identify new reports or data needs, to support business decisions. A BI professionals work with organisations dealing with data, like IT/TES, KPO, E-Commerce, Retail and Product-based companies.
Works on the data from different channels to derive customer insights and analytics. Designs the dashboards and reports on visualisation based on strong visualisation principles and best practices to make them simple, elegant, consumable and actionable. Consults with stakeholders to identify new reports or data needs, to support business decisions. A BI professionals work with organisations dealing with data, like IT/TES, KPO, E-Commerce, Retail and Product-based companies.
Uses statistical methods to analyse large amounts of data and generate useful business reports. He/she performs statistical modelling (regression, classification, time-series forecasting)/ Machine Learning / Text Mining / Optimisation / visualisation, importing, transforming, validating and visualising data with the purpose of understanding or drawing conclusions from the data. They help model data into human-readable form (ROC curve, Excel chart, maps, etc.). Moreover, a Data Analyst interprets findings and prepares initial drafts of standard reports.
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