Data Science and Machine Learning
Program Objectives:

If a candidate is interested in building a career in the futuristic areas of Machine Learning, Deep Learning and AI, this specialized course can equip him with all the skills and tools needed. This program will enable a student to:

  • Acquire technical analytics skills that drive business success
  • Develop expertise in Machine Learning, Artificial Intelligence and Deep Learning
  • Train in making decisions with statistical software tools combined with case studies
  • Learn from instructors, research leaders and industry veterans from company

Learning Outcomes:

  • Gain a thorough understanding of analytics and data science, when and how it is used, and where it fits on the spectrum of data analysis types
  • Articulate data science problem statements based on an understanding of business requirements
  • Be able to design an appropriate data science solution by selecting the right data science or machine learning algorithm
  • Be able to use multiple tools to build out the data science solution, including data storage tools like Hadoop, data processing tools like MapReduce, R, python, and statistical analytics and machine learning tools like R
  • Be able to explain and convince a business audience of the validity and usefulness of the solution

Career Progression: Job Opportunities in Top 10 Industry:

  • Cognizant
  • Amazon
  • Oracle
  • Accenture
  • Future Group
  • Gartner
  • S & P Global
  • Mahindra
  • FICO

McKinsey Global Institute predicts that by 2019 there will be about 1.5 million more jobs than skilled data scientists available to fill those jobs. This bodes well for anyone thinking of moving into data science, or augmenting their current skill set with data science. This course graduates will be primed to pursue a wide variety of prestigious and extremely well-rewarded positions in the following domains.

  • Business Analysis
  • Data Science
  • Big Data Analytics
  • Machine Learning
  • Data Visualization
  • Amazon
  • IBM
  • Rackspace
  • Verizon Terremar
  • Salesforce