A career in analytics is an intellectually engaging experience with a challenging opportunity to work on some of the most exciting and innovative projects that shape the modern world. A bright mind with sound decision making skills integrated with a fair exposure to the tools and techniques of data analysis, machine learning and artificial intelligence would be critical to embrace lucrative market opportunities in areas like Business Analytics, Machine Learning and Artificial Intelligence. Data Analytics Foundation Program is specially designed to give the participants, an immersive experience to gain a quick and complete overview of all the essential skills that the industry requires in prospective analytics professionals.
– Gain a strong exposure to all tools like R, Python, Hadoop, Spark, Tableau and Power BI.
– Master data handling on both structured and unstructured data using SQL & NoSQL.
–Implement all major algorithms in Machine Learning and Artificial Intelligence with confidence.
– Learn to use traditional data analytics in high performance Big-data ecosystems.
–One attempt to a US based certification on Data Analytics [additional USD 250]
–A 60 hour program spread over 10 weekends with option to attend online / in-class
– The entire training would focus on key technical requirements of analytics roles.
Srikanth Balasubramanian has about 14 years of experience in training, consulting and software. He is a corporate trainer and an analytics consultant for Fortune 500 and MNC firms like VISA, Credit Suisse, Cisco, Honeywell, NXP, Metro, KPMG, PWC Analytics Advisory, Skoruz & Brillio technologies. He also has an extensive Machine Learning and Data Analytics consulting experience with SME firms like Merit Group and RVS Group, where he helped them set up new lines of business based on analytics despite constrained budgets and resources. He has a strong understanding of issues in analytics in the retail, marketing, and finance areas and hasend-to-end capabilities to link analytical models to business goals and outcomes. He works closely with mid-career and senior folks in MNCs around the globe; Canada, USA, Singapore, Hong Kong, and India.