Data & AI Training
Data Science
Learn the complete data science workflow: Python, statistics, data wrangling, visualisation, machine learning models, evaluation and communication.
At a glance
- CategoryData & AI Training
- LevelIntermediate
- Curriculum6 modules, 4 project ideas
- InstituteAIIT Roorkee, Roorkee
Course Overview
Data science combines programming, statistics and domain understanding to extract insight and build predictive models. It sits at the centre of modern analytics and AI work.
This course takes you through the full workflow using Python: collecting and cleaning data, exploratory analysis, statistics and hypothesis testing, feature engineering, supervised and unsupervised machine learning, model evaluation and communicating results responsibly.
Learning Objectives
By the end of Data Science, learners should be able to:
- Wrangle and explore datasets with pandas and NumPy
- Apply statistics and hypothesis testing to real questions
- Engineer features and build machine learning models with scikit-learn
- Evaluate models with appropriate metrics and validation
- Communicate results and limitations clearly
Topics Covered
01Python for data science
- NumPy and pandas
- Jupyter workflow
- Data collection from files and APIs
02Exploratory data analysis
- Cleaning and missing values
- Visualisation with Matplotlib and Seaborn
- Finding patterns
03Statistics
- Probability and distributions
- Confidence intervals
- Hypothesis testing and correlation
04Machine learning
- Regression and classification
- Decision trees and ensembles
- Clustering
05Model quality
- Feature engineering
- Cross validation
- Metrics, bias and overfitting
06Communication and deployment
- Reports and dashboards
- Simple model APIs
- Ethics and responsible data use
Topic order and depth may be adjusted for the batch, format and learner level.
Practical Learning
Every module pairs explanation with hands-on work. Typical practical activities in this course:
End-to-end notebooks on public datasets
Statistics exercises with real data
Model comparison challenges
Peer review of analysis notebooks
Representative Projects
Projects are chosen with mentors based on your level and interests. Examples include:
- House price prediction model
- Customer churn classification
- Customer segmentation with clustering
- Capstone data science report with presentation
Who Should Join
- Graduates with a quantitative background
- Python learners ready for data work
- Engineering and science students
- Analysts moving into predictive modelling
Prerequisites
- Python basics
- School level mathematics and willingness to learn statistics
Learning Format
This course can be offered in the following formats, depending on the batch:
- Short-Term Courses
- Long-Term Courses
- Certification-Oriented Programs
- Weekend Programs
- Workshops
- Live Project Training
- Internship Programs
Ask the team for current batch timings and the formats open for Data Science.
Career Relevance
Skills from this course are relevant to roles and directions such as:
- Data Scientist
- Data Analyst
- Machine Learning Engineer foundation
- Research Assistant (data)
Career relevance describes where these skills are commonly used. It is not a promise of employment. Learners can use AIIT Roorkee's placement assistance for career preparation support.
FAQs
How much mathematics is needed for Data Science?
You need school level algebra and a willingness to learn statistics and probability. The course explains the mathematics behind methods in practical terms.
Does Data Science include machine learning?
Yes. Core machine learning methods are included. The Machine Learning course goes deeper into algorithms, tuning and deployment.
Can I join without Python?
Python basics are recommended. If you are new to programming, Python Training is a good first step.
What is the duration and schedule of this course?
Duration, batch timings and format are shared when you enquire, because they depend on whether you choose a short-term, long-term, weekend or training format. Contact the team by phone, WhatsApp or email for current batches.
Is placement assistance available?
Learners can use AIIT Roorkee's placement assistance, which includes career counselling, CV preparation, LinkedIn development, interview preparation and mock interviews. Placement assistance is career preparation support and does not constitute a guarantee of employment or placement.
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Enquire
Enquire About This Course
Share your details and the AIIT Roorkee team will contact you about Data Science.
- Call +91 7579 1857 75
- Email info@aiitroorkee.com
- #651/55, Ganga Enclave, Near Sainik Colony, Roorkee - 247667, Uttarakhand, India
Data Science enquiry
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