The course aims to help learner understand the value of big data analytics and apply this knowledge to gain insights in social media.
Customer-centric organisations seek timely and in-depth insights by gathering data from their consumers’ browsing history, market research on social media, online shopping behaviour and feedback submissions. Big Data is a powerful tool that can be used for social media analysis by marketers to drive their digital campaigns. This course will introduce learners to Natural Language Processing (NLP) and Big Data Analytics.
- Understand NLP libraries in python, sentiment analysis and topic modeling
- Learn about API, Keys and Tokens
- Understand Big Data, Hadoop and the advantages of using Spark tools
- Natural Language Processing
- Social media API
- Hadoop
- PIG
- Web scraping
- Big data analytics
- HIVE
- Spark
Area of Expertise:
Cloud transformation projects, Incubation of new practices, IPs account management, Service delivery, transition, Presale-solution, Service portfolio, Technical support, Consulting, Talent transformation
Area of Expertise:
Cloud transformation projects, Incubation of new practices, IPs account management, Service delivery, transition, Presale-solution, Service portfolio, Technical support, Consulting, Talent transformation
Area of Expertise:
Solution design, Project consultation, IT infrastructure and applications
Area of Expertise:
RDBMS, Data Science, Data Science
Area of Expertise:
Network Security, Cyber Security, IT Infrastructure
Area of Expertise:
Python, Java, C++, UI Development & Graphics Design
Area of Expertise:
Python, Artificial Intelligence, Data Science
Area of Expertise:
Cloud Infrastructure, Artificial Intelligence, Data Science
Area of Expertise:
UI/UX Design, Front-End Development, Python Web Development
Area of Expertise:
Microservices, REST API, Asp.net core, C#, Docker, DevOps with Azure, Angular, React, MS-SQL Server, MongoDB
Area of Expertise:
Java and Spring Boot, Microservices and RestAPI with Java, Python and Django, RestAPI with Python
Area of Expertise:
Microservices, REST API, Asp.net core, C#, Docker, DevOps with Azure, Angular, MS-SQL Server, MongoDB