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DATA SCIENCE COURSE
WHAT IS DATA SCIENCE
 Data Science is the branch of Artificial
Intelligence or we can say it is the future of
Artificial Intelligence.
 Now a days Industry require Data Science Is
for Improvement of business and customer
satisfaction.
PURPOSE OF DATA SCIENCE
 Data is available as small in size mostly structured, semi-
structured and large in size unstructured.
 There re many sources of data such as texts, videos,
images etc.
 For all these consequences we have to go for advanced
analytical tools and algorithms to draw meaningful
insights.
PRE-REQUISITES OF DATA SCIENCE COURSE
 Programmers or Non-Programmers
determined to be told to Program.
 Possessing excellent Analytical Skills.
 Passionate Thinker.
 Able to devote 25 Hrs/Month for 12 months
of Training.
ARE YOU WILLING TO LEARN DATA SCIENCE?
 Looking to add up some tech-related set of Skills,
Why not opt for a Data Science Course. A blend
of Mathematics, Business Acumen, Tools,
Algorithms, and Machine Learning Techniques
MASTER IN DATA SCIENCE
 Become a Data Scientist or Business
Analyst. Learn Core Python, SQL, Tableau,
Machine Learning, Deep Learning, Big Data,
Spark and more from industry leaders and
top faculty. Practical based training. Hands
on applied Learning. Many Batches
Launched. Top Faculty. 1000+ Career
Transitions.
DATA SCIENCE COURSE CURRICULUM
 Industry Relevant Curriculum, Top Faculty,
Network with Domain Experts, Hands on
Learning. Learn Python, SQL, Tableau and
more from Industry Leaders and Top Faculty.

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Data sciences course

  • 2. WHAT IS DATA SCIENCE  Data Science is the branch of Artificial Intelligence or we can say it is the future of Artificial Intelligence.  Now a days Industry require Data Science Is for Improvement of business and customer satisfaction.
  • 3. PURPOSE OF DATA SCIENCE  Data is available as small in size mostly structured, semi- structured and large in size unstructured.  There re many sources of data such as texts, videos, images etc.  For all these consequences we have to go for advanced analytical tools and algorithms to draw meaningful insights.
  • 4. PRE-REQUISITES OF DATA SCIENCE COURSE  Programmers or Non-Programmers determined to be told to Program.  Possessing excellent Analytical Skills.  Passionate Thinker.  Able to devote 25 Hrs/Month for 12 months of Training.
  • 5. ARE YOU WILLING TO LEARN DATA SCIENCE?  Looking to add up some tech-related set of Skills, Why not opt for a Data Science Course. A blend of Mathematics, Business Acumen, Tools, Algorithms, and Machine Learning Techniques
  • 6. MASTER IN DATA SCIENCE  Become a Data Scientist or Business Analyst. Learn Core Python, SQL, Tableau, Machine Learning, Deep Learning, Big Data, Spark and more from industry leaders and top faculty. Practical based training. Hands on applied Learning. Many Batches Launched. Top Faculty. 1000+ Career Transitions.
  • 7. DATA SCIENCE COURSE CURRICULUM  Industry Relevant Curriculum, Top Faculty, Network with Domain Experts, Hands on Learning. Learn Python, SQL, Tableau and more from Industry Leaders and Top Faculty.