About Course

    Advanced Data Science for Finance Professionals course is a type of course that teaches how to use advanced data science tools and techniques to solve complex analytical problems in finance. The course covers topics such as big data technologies, machine learning, predictive analytics, and data visualization, with applications to various domains such as risk management, asset management, investment strategy, and fintech innovation. The course also prepares learners for globally recognized certifications in data science and finance. This course and certification can help you gain a deeper understanding of the data science field and enhance your career prospects as a data science professional in finance.



Eligibilities

--- Finance & Banking ---

Advance Data Science for Finance Professionals

Total Days
26 Days

Total Hours
170 Hours

Training Mode
Price


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Online BootcampPreferred
  • Flexi Pass Enabled: Flexibility to reschedule your cohort within first 90 days of access.
  • Live, online classroom training by top instructors and practitioners.
  • One year access to high-quality self-paced eLearning content curated by industry experts.
Classroom TrainingPreferred
  • Customized Training Solutions: Tailor classroom sessions to your team's needs, with options for instructor-led or blended learning formats.
  • One year access to high-quality self-paced eLearning content curated by industry experts.
  • Interactive Learning Environment: Engage with a simple, interactive setup that encourages active participation and hands-on learning.
Corporate Training
  • Customize the learning model according to your team's needs. Get digital material, instructor-led classes or both.
  • Get flexible pricing options according to your company's needs.
  • Simple and interactive Learning Management System (LMS).
  • Enterprise dashboard for individual learners or teams.
  • Learner support and assistance available 24/7.
  • One year access to high-quality self-paced eLearning content curated by industry experts.


Documents