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Statistics using R and Python

via SWAYAM Plus

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This course gets user started on a career in statistics with R and Python. It provides learners with a strong foundation in statistical concepts and hands-on skills using both R and Python. The course is also a pre requisite for Data Analytics and AI pathways and focuses on applying statistical methods to solve real-world problems. Learners get exposure to both theory and practical implementation through carefully crafted self-paced digital content, modular industry‑designed assignments, and hands-on practice in R and Python created in collaboration with Academic and industry experts.

Intended audience

Data Anlysts, Programmer

Prerequisites

B.E/B.Tech Any Stream 3rd Year onwards Pre-requisite: Basic knowledge of Statistics and any computer programming language

Assessment & certification

Assessment fee: Included — no extra fee
Assessment mode: Online proctored
Assessment type: MCQ, Programming based question
Assessment provider: TCS iON
Certificate provider: Data Anlysts, Programmer

NCrF level: 5 (NCrF credit-eligible)

Syllabus

Week 1: The Statistics using R and Python Course covers Syllabus listed below:
Week 2: Introduction to Python and Pandas
Week 3: Introduction to R Programming
Week 4: Data Visualization and Elementary Statistics
Week 5: Tests of Hypothesis and Non-parametric Tests
Week 6: ANOVA and Multivariate Analysis
Week 7: Advanced Graphs, Case studies and Discussion
Week 8: Learners will get access to TCS iON Digital learning platform which includes below listed components:
Week 9: Self-Paced learning resources – PDFs, Weblinks, Recorded Videos
Week 10: DIY Modular Assignments
Week 11: Formative Assessments
Week 12: Industry Project
Week 13: Summative Assessment
Week 14: Digital Community for doubt resolution