Master Professional Data Science with ML – Professional
2-course professional program in Data Science with ML. 4 Months, 160 hours.
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Join learners who transformed their careers with MITS Edge.
Program Overview
Combines: Python for Data Science & AI + Machine Learning. Python, NumPy, Pandas plus supervised/unsupervised learning, regression, classification and clustering. 4 months, 160 contact hours.
Course Highlights
- 160 hours of classroom training
- 2 courses combined into one program
- Save Rs 2,100 against separate courses
Minimum Requirements
- No prior experience needed
- Laptop or desktop with internet access
- Commitment to a 4 month schedule
Who is this for ?
- Job seekers targeting data scientist roles
- Students entering data science
- Analysts adding machine learning skills
Industry-Recognized
Certification
Upon successful completion, you receive a certificate of completion for the Professional Data Science with ML – Professional 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 Professional Data Science with ML – Professional course online or in person?
The Professional Data Science with ML – Professional 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 Professional Data Science with ML – Professional course?
The Professional Data Science with ML – Professional program runs for 4 Months. Cohorts are scheduled in the evenings and on weekends to fit around a full-time job.
What level is the Professional Data Science with ML – Professional course — is it suitable for beginners?
The Professional Data Science with ML – Professional program is pitched at a intermediate level. Some prior familiarity helps, and the curriculum builds toward job-ready skills.
Do I get a certificate after completing Professional Data Science with ML – Professional?
Yes — you receive a verifiable certificate of completion for the Professional Data Science with ML – Professional program, which you can share with employers and add to your LinkedIn profile.
Does the Professional Data Science with ML – Professional 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 Professional Data Science with ML – Professional?
Recommended prerequisites: No prior experience needed; Laptop or desktop with internet access; Commitment to a 4 month schedule.
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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