Master Data Science Project-Based Industry Programme – Essential
End-to-end project, dataset analysis, model building, documentation and portfolio
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Program Overview
Data Science Project-Based Industry Programme. End-to-end project, dataset analysis, model building, documentation and portfolio. Runs 1.5 months over 60 contact hours. This course is sold on its own and also forms part of larger programs.
Course Highlights
- 60 hours of classroom training
- Certificate on completion
- Can be taken on its own or inside a program
Minimum Requirements
- Machine Learning
- Laptop or desktop with internet access
Who is this for ?
- Beginners and students
- Working professionals adding one skill
- Career changers
Industry-Recognized
Certification
Upon successful completion, you receive a certificate of completion for the Data Science Project-Based Industry Programme – Essential program that you can share with employers and add to your LinkedIn profile — a record of the hands-on skills and projects you completed.
- Verifiable ID: Unique credential link for LinkedIn.
- Skill Validation: Proof of hands-on project completion.
- Corporate Branding: CO-branded with your company logo.
Student Reviews
Why learn this online
AI and data science are among the fastest-growing, highest-value skill sets in the technology market. Learning them online, through live instructor-led sessions and hands-on projects, lets you build practical experience with Python, statistics, and machine learning while keeping your current job. Because the field rewards demonstrated ability over credentials, a strong project portfolio built during the course is what employers actually respond to.
Who this is for
- ✓Analytical professionals who enjoy math and code
- ✓Analysts wanting to move into modeling and AI
- ✓Career switchers targeting high-ceiling data roles
Career outcomes
- Data Scientist
- Machine Learning Engineer
- AI Engineer
- Data Analyst (advanced)
Frequently asked questions
Is the Data Science Project-Based Industry Programme – Essential course online or in person?
The Data Science Project-Based Industry Programme – Essential program is delivered live and online with instructor-led sessions, so you can join from anywhere in the US, Canada, or beyond. Sessions are interactive and recordings are available for review.
How long is the Data Science Project-Based Industry Programme – Essential course?
The Data Science Project-Based Industry Programme – Essential program runs for 1.5 Months. Cohorts are scheduled in the evenings and on weekends to fit around a full-time job.
What level is the Data Science Project-Based Industry Programme – Essential course — is it suitable for beginners?
The Data Science Project-Based Industry Programme – Essential program is pitched at a advanced level. Some prior familiarity helps, and the curriculum builds toward job-ready skills.
Do I get a certificate after completing Data Science Project-Based Industry Programme – Essential?
Yes — you receive a verifiable certificate of completion for the Data Science Project-Based Industry Programme – Essential program, which you can share with employers and add to your LinkedIn profile.
Does the Data Science Project-Based Industry Programme – Essential course include placement or career support?
Yes. MITS Edge programs include career support — resume reviews, mock interviews, and job-search guidance aligned to the US and Canadian hiring markets.
Do I need any prior experience to join Data Science Project-Based Industry Programme – Essential?
Recommended prerequisites: Machine Learning; Laptop or desktop with internet access.
Do I need a math background for AI and data science?
Comfort with basic math helps, but the fundamentals — statistics and the math behind common models — are taught as part of a structured program. What matters most is consistent practice and building real projects.
Is Python required for AI and data science?
Yes, Python is the core language of the field. A good course starts from Python fundamentals and builds up to data libraries and machine learning, so you can start even if you are new to coding.
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