Address
Form of work
SalaryIf you are a student, graduate, or career change aspirant, and missing out on the skills to work in your dream job, this boot camp is for you. Get trained and work on hands-on projects in our boot camp to upskill yourself!
Program: Hands-on training and projects, training certification
What you will get from this program?
– Hands-on training and projects
– Learn and work
– Do practical group Project work and build up experience in Data Science and AI
Modules
Hands-on training and Project work
Get trained directly by the founders and get hands-on training and projects
– Real-time Data Science/ML tasks
– Supervised matchmaking algorithm creation for Job-Candidate matchmaking
– Customer segmentation and analysis
– Data parsing of CV and Jobs using NLP and LLM
– Project work
Data Science and AI Training
– Fundamentals of Data Science and Machine Learning
– Python libraries
– Supervised and Unsupervised learning
– Regression and Classification methods
– Clustering methods
– Deep Learning
– Matching algorithms
and many more
Career Guidance:
Job Assistance
– Career sessions
– Job search platforms intro
– CV preparation
– Cover letter preparation
– Interview Preparation
Why join our Data Science Training Program?
– Skill development: Learn the fundamentals of Data Science with AI
– Career advancement: Get the confidence and training to switch your career to Data Scientist
– Job opportunities: Increase your job opportunities, get referred by us to our clients and partners
– Real startup projects: Work directly with our CPO on real startup projects
Job Types: Full-time, Internship
Salary: $80,781.50 - $176,693.57 per year
Benefits:
- Flexible schedule
- Health insurance
- Paid time off
Schedule:
- Monday to Friday
Work Location: Remote
Job Types: Full-time, Internship
Salary: $45.00 - $60.00 per hour
Expected hours: 20 per week
Benefits:
- Flexible schedule
- Paid time off
- Parental leave
- Professional development assistance
- Referral program
Compensation package:
- Hourly pay
Experience level:
- No experience needed
Schedule:
- Monday to Friday
Experience:
- Python: 1 year (Preferred)
- SQL: 1 year (Preferred)
Work Location: Remote
