Advanced Data Science / Advanced Machine Learning through Python
Advanced Data Science - Machine Learning through Python

48Hours programme

Contact hours: 24 hours

  • Conceptual Learning
  • Hands-on Learning
  • Projects/ Assignments
  • Case studies/ Use cases
For Enrollment
Programme Objectives
The “Advanced Data Science - Machine Learning through Python” programme brings machine learning to life by showcasing real-world use-cases. The programme provides a unique blend of conceptual learning supplemented by hands-on application of popular machine learning techniques, all under the guidance of industry experts with decades of domain knowledge.
Who should go for the Programme?
The “Advanced Data Science - Machine Learning through Python” programme has been designed & developed primarily for analytics and information technology professionals keen to implement machine learning centric solutions to address business problems. In addition, for beginners in the professions of analytics and information technology, the programme imparts the relatively advanced skills in the field of machine learning, thereby providing competitive advantage.

Key Takeaways

  • Envisage & articulate the opportunities for deploying machine learning techniques as problem-solvers in their businesses
  • Develop competency in popular machine learning tools & techniques prevalent in the industry
  • Deliver innovative solutions to business challenges using popular machine learning techniques
  • Formulate & implement strategies for business enhancement and competitive advantage through machine learning

Learning Mode

Are there any Learning Pre-requisites?

The “Advanced Data Science - Machine Learning through Python” programme is essentially of a relatively advanced nature, and hence there are certain learning pre-requisites for the programme. In order to enhance the efficiency & effectiveness of participants’ learning, it is desirable that participants possess basic knowledge of computer programming in any language, preferably in either of C/C++, Java, R or Python. In addition, prior awareness of and/or exposure to probability theory, linear algebra, calculus and basic Statistics would facilitate participants’ learning efficiency. Participants with no prior exposure to Statistics, probability theory, probability distributions, etc, as well as participants who wish to refresh their knowledge of these areas, can rapidly bring themselves up to speed through our specially-designed preparatory programme – the “Essentials of Business Analytics” programme.

Enrollment

Advanced Data Science / Advanced Machine Learning through Python

MEET Our Consultants & Faculty

Dr. Goutam Das

Dr. Goutam Das

30+ years of industry experience across multiple sectors including Finance, Energy, Telecom, Retail, Media, Manufacturing & Automobiles.

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Prof (Dr.) B B Chakraborty

Prof (Dr.) B B Chakraborty

40+ years of experience in Industry and Academics, serving as consultant to major global organizations and Professor at leading IIMs.

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Dr. Nidhan Choudhuri

Dr. Nidhan Choudhuri

25+ years of global experience in Financial Modeling, Risk Analysis, and Quantitative Trading, with roles at Barclays and Morgan Stanley.

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Dr. Ayan Chatterjee

Dr. Ayan Chatterjee

8+ years of R&D experience in AI, Machine Learning, and Medical Image Processing with NVIDIA and AstraZeneca.

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Mr. Jayanta Adhikari

Mr. Jayanta Adhikari

30+ years of experience in BFSI and Retail sectors, specializing in Financial Analytics and Digital Transformation.

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Ms. Amrita Saha

Ms. Amrita Saha

15 years of experience in AI, GenAI, Big Data Analytics, and Econometrics across BFSI and Energy sectors.

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