Master Statistics & Probability for Data Science – Essential
Descriptive statistics, probability, distributions and analytical thinking
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Program Overview
Statistics & Probability for Data Science. Descriptive statistics, probability, distributions and analytical thinking. 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
- No prior experience needed
- 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 Statistics & Probability for Data Science – 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 Statistics & Probability for Data Science – Essential course online or in person?
The Statistics & Probability for Data Science – 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 Statistics & Probability for Data Science – Essential course?
The Statistics & Probability for Data Science – 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 Statistics & Probability for Data Science – Essential course — is it suitable for beginners?
The Statistics & Probability for Data Science – Essential program is pitched at a beginner level. It is designed to be accessible to newcomers, starting from fundamentals.
Do I get a certificate after completing Statistics & Probability for Data Science – Essential?
Yes — you receive a verifiable certificate of completion for the Statistics & Probability for Data Science – Essential program, which you can share with employers and add to your LinkedIn profile.
Does the Statistics & Probability for Data Science – 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 Statistics & Probability for Data Science – Essential?
Recommended prerequisites: No prior experience needed; 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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