Data Science & Artificial Intelligence Program,

Course level:All Levels
Categories I.T
Course Duration: 0

Material Includes

  • We will provide Soft Copy of the syllabus for on line training and hard copies for the live training.

Target Audience

  • .Engineers / Associates / IT Professionals:
  • Software engineers in IT/ITES Startup teams building ML products/services
  • Managers:
  • Product managers, Program managers, General Managers, etc. interested in improving their analytical skills and effectively managing analytics, data science and machine learning projects
  • Data Analysts/Scientists & Business Analysts:
  • Who want to transition to or progress into data science/analytical roles and become more efficient and effective in data-driven decision-making.
  • Consultants:
  • Who are driving client projects and looking for acquiring and honing cutting edge analytical and
  • data science skills for a career transition or progress

Description

With Global Accreditation and Certification Academy Certifications. 

8 Month Program, 5 Days a week, 3 hours daily.

We also have 3 and 5 days Short Courses upon the need and requirement of the client.

Why 2035 Skills ?

  • Real-life practice
  • Best training and the latest curriculum
  • Successful jobs outcomes
  • Program unparalleled support & guidance
  • Powerful alumni connections

Industry Case Studies

  • Retail/Etail
  • Banking & Financial Services
  • Healthcare & Human Capital
  • Manufacturing & Sport

 Program Structure

  • Designed to build industry-valued skills
  • Interactive mentored learning
  • Live-steering (430+hours)
  • 18+ Industry projects
  • Certified and Verified certificate

 Program Structure

  • Office Hours with Learning facilitators
  • Knowledge Checks/Cloud Labs/Projects
  • Dedicated support team/Peer discussion
  • Faculty Iteration

What I will learn?

  • • Learn from basics of Data Science, R & Python Programming to Advanced ML
  • • Build and Apply: Develop the ability to translate business problems to analytics & ML problems and develop impactful solutions.
  • • Interact with Academic Experts and Industry Practitioners and get mentored – Train on detailed concepts and the nuances of solutioning
  • • Reduce learning curve and be Industry Ready: The in-built Analytics and AI functions of the platform will reduce the learning curve and
  • • help to focus more on solutioning rather than just programming.
  • • Dynamic Collaboration: The Collaboration features of the platform will enable to form teams, develop effective solutions and become
  • • better team players.
  • • Regular Hackathons: Compete & apply learnings under strict timelines and achieve tangible recognition/personal brand in the Data
  • • Science community.
  • • Build and showcase cutting edge ML solutions using the BBDS platform, with long term access to learning content/platform.
  • • Industry standard assessment tests and long-term access to material will enable one’s Data Science journey, even after the program
  • • completion.

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