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Master Data Science – Career Program

A full data science career track covering Python, SQL, statistics, machine learning and storytelling with data, built around real business datasets and a portfolio of end-to-end projects.

Fee$2,000
Duration6 Months (180 hrs)
LevelAdvanced
ModeOnline
View Curriculum
Industry Certificate English

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Program Overview

Data Science – Career Program

Data Science – Career Program is an advanced-level live online course running 6 months (180 hrs), priced at $2,000 USD, taught by instructors in evening and weekend cohorts for learners in the US and Canada, with a certificate of completion.

A full data science career track covering Python, SQL, statistics, machine learning and storytelling with data, built around real business datasets and a portfolio of end-to-end projects. What you will build: a sales-forecasting model, a customer-segmentation study, an A/B test analysis and an interactive Streamlit dashboard. Tools and technologies: Python, SQL, Pandas, scikit-learn, Matplotlib, Seaborn, Tableau, Jupyter, Git, Streamlit. Format: 180 hours of live, instructor-led online training over about 24 weeks, in evening and weekend cohorts for learners in the US and Canada, with hands-on labs, recorded sessions and mentor support. Career pathways: Data Scientist, Junior Data Scientist, Data Analyst, Machine Learning Analyst. Includes resume and LinkedIn review, mock interviews and job-search guidance for the US and Canadian markets. Career support is guidance, not a guarantee of employment.

MentorshipLearn from experts
Hands-onBuild real projects
Career ReadyJob-aligned skills

Course Highlights

  • 180 hours of live instructor-led training
  • Portfolio projects and a capstone
  • Tools: Python, SQL, Pandas
  • Certificate of completion
  • Resume, LinkedIn and mock interview support
  • Recorded sessions and mentor support

Minimum Requirements

  • Comfort with spreadsheets; basic maths
  • Laptop or desktop with stable internet

Who is this for ?

  • Analysts upgrading to data science
  • Graduates entering the data field
  • Professionals switching into analytics roles

Curriculum

Course Curriculum

7 modules · 31 topics0 hours total

  • 1
    Python fundamentals
  • 2
    data structures
  • 3
    functions and modules
  • 4
    Jupyter workflow
  • 5
    AI-assisted coding with Copilot and ChatGPT/Claude

Industry-Recognized
Certification

Upon successful completion, you receive a certificate of completion for the Data Science – Career Program 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.
MITS Edge Certificate of Completion

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

How much does the Data Science – Career Program course cost?

The Data Science – Career Program course costs $2,000 (USD) for 6 Months (180 hrs) of live, instructor-led online training. The fee covers live classes, recorded sessions, hands-on projects, mentor support and the certificate of completion.

What projects will I build in Data Science – Career Program?

You will build a sales-forecasting model, a customer-segmentation study, an A/B test analysis and an interactive Streamlit dashboard.

Which tools and technologies does Data Science – Career Program cover?

Data Science – Career Program covers Python, SQL, Pandas, scikit-learn, Matplotlib, Seaborn, Tableau, Jupyter, Git, Streamlit.

Is the Data Science – Career Program course online or in person?

The Data Science – Career Program 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 – Career Program course?

The Data Science – Career Program program runs for 6 Months (180 hrs). Cohorts are scheduled in the evenings and on weekends to fit around a full-time job.

What level is the Data Science – Career Program course — is it suitable for beginners?

The Data Science – Career Program 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 – Career Program?

Yes — you receive a verifiable certificate of completion for the Data Science – Career Program program, which you can share with employers and add to your LinkedIn profile.

Does the Data Science – Career Program 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 – Career Program?

Recommended prerequisites: Comfort with spreadsheets; basic maths; Laptop or desktop with stable internet.

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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