- 05 Oct 2020 Dubai
This course goes beyond the hype of what Big Data is, and will set the foundation for your journey to advanced decision-making and business benefits by giving you the tools to leverage Big Data. In the current era, modern organisation managers or specialists are expected to decipher insights from an organisation-wide IT system and be able to provide precise analysis and recommendations for senior managers/executives.
To do this effectively means parsing through tonnes of data to recognise and analyse patterns using the best tools for the job. This course will enable you to use cutting-edge techniques to recognise trends and explore what those trends mean in turn for your organisation.
This hands-on interactive learning experience will provide you with a rich toolset for data analysis to help you make better decisions and recommendations, thus building your capability and confidence in using Big Data analysis as part of your job role.
Who Should Attend
This course is suitable for anyone who needs to parse through data and use data analysis in their job role. This includes strategists, programme/project managers, analysts, business process managers, etc.
Whether you want to start from scratch or want to extend your Big Data knowledge, this is an essential and unmissable course.
Benefits of Attending
- Increase your understanding of the data lifecycle from source to destination
- Understand the nature of Big Data and technologies in place for storing Big Data
- Immerse yourself in hands-on course projects on Big Data analysis for decisionmaking
- Recognise patterns in data and choose the best tools for analysis
- Leverage your Big Data understanding to formulate business strategy
- Build your confidence in dealing with day-to-day challenges in Big Data analysis
Gautam is an international Data Science Consultant working with Fortune 100 companies from Oil and Gas, Telecoms, Utilities, GIS, Heavy Engineering, Retail, CPG etc. He has worked with Microsoft on complicated data analytics projects within the Manufacturing industry.
Gautam is an active member of the Institute of Electrical and Electronics Engineers (IEEE) Technical Committee on Pattern Analysis and Machine Learning, IEEE Technical Committee on Data Engineering and IEEE Computer Society.
Besides consulting companies, Gautam delivers corporate training, webinars, public speeches on analytics, machine learning and related topics. He has delivered talks on analytics in several international universities.
His favourite area of research is applications of supervised and unsupervised learning in building analytics workbench around industrial scenarios. Gautam has delivered projects pertaining to Big Data implementations, data science solutioning, and analytics delivery.
Gautam completed his Master’s degree in Electronics from University of Manchester and later, a specialisation in Analytics from Great Lakes (Gold Medalist). Gautam has presented his work at several international conferences. He won the award for Best Paper at ICBMIS, Dubai (2013).
Upon completion of this training course, participants will earn a digital badge.
Earners of the Big Data Analytics for Business Leaders badge are able to move towards monetising ever-increasing data through advanced decision-making. They understand the nature of Big Data and technologies in place for storing Big Data and appreciate the data lifecycle from source to destination.
Understanding data lifecycles, using big data analysis tools, using data for efficient decision-making, building capability, designing data pipelines
- Attend and participate in the 4 full days of training course duration, led by the designated training expert, with less than 2 hours of noted absence.
- Successful completion of the course assessment
Hilton Dubai Al Habtoor City
Hilton Dubai Al Habtoor City
Sheikh Zayed Road, Dubai
Telephone: +971 4 437 3333
Course fees include documentation, luncheon and refreshments. Delegates who attend all sessions and successfully complete an assessment, will receive an Informa Certificate of Completion.
Pricing excludes 5% VAT, which will be charged where applicable