Course Curriculum

Big Data in the Context of Data Science
Fundamentals of R
R Data Structures
Data Manipulation Using R
Hypothesis Testing
Data Science and Machine Learning
Machine Learning Techniques Using R
Supervised Learning Techniques and the Implementation of Various Algorithms
Unsupervised Machine Learning Techniques – Implementation of Different Algorithms
Regression Methods for Forecasting Numeric Data
Deep Learning – Neural Networks and Support Vector Machines
PRIVATE COURSE
  • PRIVATE
  • 4 months
  • 35 SEATS

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FAQs For Data Science

Any graduate/post graduate or students in final stages of graduation + People willing to align careers in analytics

Team leaders working with data and often need basic data analysis

Engineers looking for career opportunities in IT/ITES industry

Management students looking for strategic positions

People already working with huge datasets

Hadoop Professionals

CA, CS, CFA

We have multiple batches running simultaneously, so if u misses a lecture u can attend it in next lecture.

Yes, we have multiple centers.

Your profile would be evaluated by experts, your resume would be rated and you would start getting calls after completion of your module.

Yes, we provides Basic & Adv SEO trainings accompanied with Data Analytics & Data Visualization

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15th Dec - Demo Session - P.Saudagar - Hadoop : 4.00 pm | Data Science : 4.00 pm | Python : 4.00 pm | Informatica : 11.00 am | DevOps : 6.00 pm | Digital Marketing : 10.00 am | Angular jS : 11.30 am | Tableau : 5.00 pm | AWS : 4.00 pm | Nal Stop - AWS : 12.30 pm | Data Science : 10.45 am | Hadoop : 3.00 pm | AWS : 12.30 pm | Digital Marketing : 2.00 pm | Python : 4.00 pm | Data Science : 6.30 pm (Friday) | Kharadi - Data Science : 3.00 pm | Tableau : 11.00 am | Digital Marketing : 5.00 pm | Vashi - DevOps : 11.00 am | Data Science : 5.30 pm | Python : 5.30 pm | AWS : 11.00 am