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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