Data Science Foundations
Question to Evaluated Model
By Day 5: Build and evaluate one bounded baseline model and explain when its result should or should not be trusted.
Data Science Foundations is a five-day live online WorkReady Capability Sprint for learners with basic Python interested in data science, analytics or AI/ML work. Days 1–4 are 90-minute sessions and Day 5 is a 2–3 hour Capability Showcase; the complete Sprint costs ₹2,000.
- ₹2,000
- Complete 5-day Sprint
- Days 1–4
- 90 min/day live
- Day 5
- 2–3 hr Capability Showcase
Paid professional capability development. Not a job or placement service.
At a glance
- Who it's for
- Learners with basic Python interested in data science, analytics or AI/ML work.
- Entry level
- Required: basic Python. Helpful: basic descriptive statistics. Entry gate: Python — a short readiness check before enrolment. Learners who are not ready are routed to Python for Data Work, not admitted with hidden homework.
- Format
- Online · a focused five-day live online studio
- Duration and schedule
- Days 1–4 are 90-minute live sessions. Day 5 is an extended 2–3 hour Capability Showcase.
- What you produce
- Evaluated baseline model + model card
- Fees
- ₹2,000 for the complete 5-day Sprint
- What it is not
- This is Data Science Foundations, not a five-day pathway to "become a data scientist." Not a job or placement service. SkillsNCR does not guarantee employment, placement, salary or interview outcomes.
Many learners can call a machine-learning library but cannot define the prediction target, choose a valid evaluation method, spot leakage or explain whether a model is useful.
Teach the work discipline behind a small supervised machine-learning problem: question framing, data exploration, baseline model, evaluation, leakage checks and responsible recommendation.
Your five days, day by day
Days 1–4 are 90-minute live sessions. Day 5 is an extended 2–3 hour Capability Showcase. Open each day to see what you do and what you leave with.
Day 1Frame the problem90 min
- Business question vs prediction question
- Target and features
- Unit of observation
- Baseline/no-model alternative
- Data ethics/privacy
You leave the day with: Modelling brief
Day 2Explore and prepare90 min
- Missingness
- Distributions
- Obvious outliers
- Train/test split
- Leakage risks
You leave the day with: EDA + preparation notebook
Day 3Build a baseline90 min
- Simple regression/classification model
- Reproducible pipeline
- Baseline comparison
You leave the day with: First model + results
Day 4Evaluate and challenge90 min
- Appropriate metrics
- False positives/negatives
- Overfitting
- Error slices
- Limitations/fairness
- Human review/revision
You leave the day with: Evaluation + model card draft
Day 5Capability Showcase2–3 hr
Changed-case challenge: Reviewer changes the metric or supplies a shifted sample
- Learner presents model/business implication
- Learner reassesses result
- Explain whether model should be used
You leave the day with: Final proof pack, submitted after the changed-case challenge
Tools you work with
- Python
- Jupyter / Colab
- pandas
- scikit-learn
- matplotlib
Tool names describe what is used in the Sprint. No vendor endorsement, certification or licence is implied.
Evaluated baseline model + model card
This is the work you explain, question and adapt in the Day 5 Capability Showcase.
Your proof pack
- 01Problem brief
- 02EDA notebook
- 03Baseline model
- 04Evaluation
- 05Error analysis
- 06Model card
- 07Recommendation
What a reviewer checks
- Target/metric valid for question
- Leakage actively checked
- Model compared to baseline
- Metric interpreted correctly
- Limitations and risks explicit
- Changed evaluation condition can change recommendation
Your work has to survive a changed case.
On Day 5 you present the work, explain key decisions, identify limitations and respond when part of the case changes. The final proof pack is submitted after that challenge.
- Present
Walk the reviewer through the work and the decisions behind it.
- Question
Answer challenges on evidence, assumptions and risk.
- Adapt
Reviewer changes the metric or supplies a shifted sample
- Defend
Submit the final proof pack and explain what changed and why.
₹2,000for the complete 5-day Capability Sprint
- Days 1–4
- Live Sprint sessions · 90 minutes/day
- Day 5
- Extended Capability Showcase · 2–3 hours
Paid professional capability development. Not a job or placement service.
Included in the Sprint
- An applied professional case
- Human review and feedback
- Revision after feedback
- A Day 5 changed-case challenge
- A final proof pack: Evaluated baseline model + model card
Questions worth asking.
Is a Capability Sprint just a short course?
No. It is a focused live capability studio built around doing one bounded kind of professional work, receiving feedback, revising it and demonstrating what you can do.
Will this make me a data scientist?
No. The Sprint builds one bounded capability: build and evaluate one bounded baseline model and explain when its result should or should not be trusted. This is Data Science Foundations, not a five-day pathway to "become a data scientist." SkillsNCR does not promise a role, job or placement.
Do I need prior experience?
Required: basic Python. Helpful: basic descriptive statistics. Entry gate: Python — a short readiness check before enrolment. Learners who are not ready are routed to Python for Data Work, not admitted with hidden homework.
What will I produce?
Problem brief, EDA notebook, Baseline model, Evaluation, Error analysis, Model card, Recommendation.
What does a Sprint cost?
₹2,000 for the complete five-day Sprint.
How long is it?
Days 1–4 are 90-minute live sessions. Day 5 is an extended 2–3 hour Capability Showcase.
When is the next cohort?
This Sprint runs on request — for a group, an employer or a college, or when waitlist demand justifies it. Request it on WhatsApp for yourself or your team.
Can I join only one Sprint?
Yes. Each Sprint is designed to provide standalone value.
Does this guarantee a job or placement?
No. WorkReady is paid professional capability development, not a job or placement service. SkillsNCR does not guarantee employment, placement, salary or interview outcomes.
Request Data Science Foundations for yourself or your team.
Paid professional capability development. Not a job or placement service.