DATA SCIENCE & AGENTIC AI

Data Science
with Agentic AI.
Model. Build.
Evaluate.

Build data science and machine learning foundations, then create agents that use tools and context. Learn to measure the models and workflows you build.

Beginner → IntermediatePython · Machine learning · AI agents
Data & statisticsMachine learningAgent workflows & evaluation
ENQUIRE ABOUT THE COURSE

Your Data Science with Agentic AI
roadmap is here.

Tell us a little about yourself.

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START HEREBeginner → Intermediate
GROW THROUGH5 focused modules
PUT IT TO WORKPractice + course projects
LEARN TOGETHERClassroom at NSP or Noida
DATA SCIENCE & AGENTIC AI

Understand the data.
Build intelligence you can evaluate.

Develop a foundation in data science and machine learning, then explore how AI agents use tools and context to handle multi-step tasks. Learn to evaluate their output and limitations.

Build the data foundation

Prepare data and use statistics to describe patterns and limitations.

Train and compare models

Work with supervised learning, validation and meaningful evaluation metrics.

Connect agents to real tasks

Build tool-using workflows and assess their grounding, reliability, cost and latency.

Your skills matter in the AI era.

Build both the model and the workflow around it. Learn machine learning foundations, LLM APIs, retrieval and tool calling, then test the quality and limitations of agent outputs.

Explore the roadmap
A ROADMAP THAT BUILDS ON ITSELF

From data foundations
to evaluated agent workflows.

Learn Python and statistics, build machine learning models and extend your work into agentic applications.

UnderstandBuildReview
Download Data Science with Agentic AI syllabus

Complete topics, assignments and learning outcomes.

Python & data foundations
  • Python foundations
  • NumPy
  • Pandas
  • SQL queries
  • Data cleaning

Put it into practice Analyse and transform a real-world dataset.

Prepare data for analysis and modelling.

Statistics & exploratory analysis
  • Descriptive statistics
  • Probability
  • Visualization
  • Hypothesis testing
  • Feature engineering

Put it into practice Write an exploratory report with visual evidence.

Describe patterns and limitations in a dataset.

Machine learning
  • Regression
  • Classification
  • Trees and ensembles
  • Cross-validation
  • Metrics
  • Leakage

Put it into practice Train and evaluate baseline and candidate models.

Measure model performance with appropriate evaluation.

LLMs & agent foundations
  • LLM APIs
  • Prompt design
  • Embeddings and retrieval
  • Tool calling
  • Context management

Put it into practice Build an agent that answers questions over a dataset using tools.

Design agent workflows that use tools and context.

Agent evaluation & capstone
  • Multi-step workflows
  • Evaluation sets
  • Guardrails
  • Failure analysis
  • Cost and latency
  • Capstone presentation

Put it into practice Ship and evaluate an end-to-end data science agent.

Test agent outputs for quality and reliability.

DS CONCEPTS, MADE CONCRETE

From datasets to agents.
Build and test the complete idea.

Explore project ideas that bring the Data Science with Agentic AI curriculum together. Build, test and explain the decisions behind your work.

analysis_agent.py
Ask → Plan → Run → Answer3 tool calls
PROJECT IDEA · AGENTIC WORKFLOWS

Data analysis agent

Ask a question in plain language, let the agent plan and run the analysis with tools, and check every step it took.

AI agentsTool callingPandas
agent_evals.py
Evals · GuardrailsTested ✓
PROJECT IDEA · TRUST BUT VERIFY

Agent evaluation harness

Run an agent against a set of test cases and score its answers for accuracy, grounding and reliability.

PythonEvaluationGuardrails
recommender.ipynb
User → Similar items → Top 3Ranked ✓
PROJECT IDEA · USEFUL SUGGESTIONS

Recommendation studio

Rank useful suggestions from user and item data, and compare how different models perform.

scikit-learnEmbeddingsRanking
Prepare the data. Compare the models. Evaluate every workflow.

Each curriculum module includes practical work to help you apply and review the idea.

Find my learning routine
YOUR CENTRE. YOUR SCHEDULE.

Choose where.
Choose when.

Choose NSP or Noida, then find the weekday or weekend schedule that fits you.

Data Science with Agentic AI at NSP, Delhi

NSP · DELHINetaji Subhash Place+91 99993 21553
NOIDA · SECTOR 2Near Sector 15 metro+91 99995 79111
Coding Blocks learner stories

Their next chapter started here.
Yours could be next.

Every career journey is different. These videos share a few stories from the Coding Blocks community.

Your journey starts with the skills you build today.

Find my Data Science with Agentic AI batch
Real people. Real milestones.

Our torchbearers.
Just getting started.

Meet Coding Blocks learners whose practice and persistence led to opportunities at leading companies.

Explore more success stories
Aditya

Aditya

Amazon
Iti Jain

Iti Jain

Twitter
Simarpreet Sikka

Simarpreet Sikka

Microsoft
Vishesh

Vishesh

Google
Jashpreet Malhotra

Jashpreet Malhotra

Walmart
Sahil Bansal

Sahil Bansal

Salesforce
Shervil Gupta

Shervil Gupta

Google
Ashanka Saha

Ashanka Saha

American Express
Sandipan Dutta

Sandipan Dutta

Amazon
Lavisha Malik

Lavisha Malik

Goldman Sachs
Manali Biswas

Manali Biswas

Microsoft
Mohit K.

Mohit K.

Amazon
BEFORE YOU START

A little clarity.
A confident next step.

Need help with your starting point or schedule?

Talk to an advisor
What should I know before joining?

The roadmap begins with Python and data foundations. Basic mathematical comfort and a willingness to code will help as you move into statistics, machine learning and agent workflows.

What will I practise and build?

The roadmap covers python & data foundations, statistics & exploratory analysis, machine learning, llms & agent foundations, agent evaluation & capstone. Project ideas include Data analysis agent, Customer churn lab. Ask your advisor to confirm the work and review process for your selected batch.

How does AI fit into this course?

Build both the model and the workflow around it. Learn machine learning foundations, LLM APIs, retrieval and tool calling, then test the quality and limitations of agent outputs.

How do I choose a centre and schedule?

Use the NSP and Noida selector to compare any published weekday and weekend schedules. If a centre has no listed batch, our team can help you check upcoming availability. Ask about live online options if you prefer to learn remotely.

What are the fees, duration and mentor details?

These depend on your selected batch. Review the available schedule and fee together, and ask our team to confirm the current duration, mentor allocation and enrolment details.

How do I download the syllabus?

Share your details to download the Data Science with Agentic AI syllabus. If the download doesn’t work, you can request it from our team.

YOUR NEXT CHAPTER STARTS HERE

Build your Data Science with Agentic AI skills.
Take the next step.

Start with a clear roadmap and a batch that fits your routine.

YOUR Data Science with Agentic AI ROADMAP

Get the complete syllabus.

Share your details, verify your email, and download your curriculum.

  1. Your details
  2. Verify email
  3. Download
ONE MORE LOOK BEFORE YOU JOIN

Your classroom. Your batch.

Review your centre, schedule and mentor before continuing.

Data Science with Agentic AI

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