Data Science Makeovers

About Course

Why do some companies drown in volumes of data, while others thrive on distilling  the data into golden strategic advantages? How do business stakeholders and data scientists work together to leverage data science in co-creating new value for the company?  


  • Trainers with more than a decade of Industry Expertise.
  • Our emphasize is more on practical based learning. 
  • 24X7 support
  • We are associated with 500+ corporates.
  • Standout performers will be projected for placements in these corporates based on requirements.
  • Every session will be recorded and will be available on our LMS (Learning Management System) and students will have life time access to it. 
  • We provide Interview Guidelines to help in better understanding of industry requirements and expectations. 
  • Our trainings are available online and offline mode.
  • We focus and prefer Instructor Led Live training programs.
  • Assessments will there on weekly basis. Pre and post training assessment are included to rate yourself after the learning.
  • Course Completion Certificate will be provided.
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Why should I take this course?

Data Science helps the organization to understand its customer requirements better and provide them good service that will help them to grow efficiently. As more organizations are implementing Data Science into their business strategies, it has resulted in creating a number of jobs in the Data Science field.

What is Data Science?

Data Science is a blend of various tools, algorithms, and machine learning principles with the goal to discover hidden patterns from the raw data.

What are the benefits of Data Science?

One of the advantages of data science is that organizations can find when and where their products sell best. This can help deliver the right products at the right time—and can help companies develop new products to meet their customers' needs. Personalized customer experiences

Does Data Science require math?

The truth is, practical data science doesn't require much knowledge in math, it requires some but a great deal of practical data science only requires skill in using the right tools. Data science does not necessarily require you to understand the mathematical details of those tools.