Course Introduction

Data Science with Python is a practical, industry-oriented training programme designed to provide participants with essential knowledge and hands-on skills in Python programming, data analysis, data visualisation, and basic machine learning.

The programme introduces participants to Python and widely used data science libraries, enabling them to work with datasets, clean and analyse data, identify patterns, create meaningful visualisations, and generate data-driven insights for academic and business applications.

Course Objective

The objective of this programme is to develop practical Python programming and data science skills and enable participants to work confidently with real-world datasets.

The programme aims to bridge the gap between theoretical concepts and practical applications through hands-on exercises, case studies, and project-based learning.

Course Outcomes

After successful completion of the programme, participants will be able to:

Understand the fundamentals of data science and its applications.
Understand Python programming concepts relevant to data science.
Work with variables, data types, operators, functions, and control structures.
Use Python libraries such as NumPy, Pandas, and Matplotlib for data analysis.
Import, clean, transform, and organise datasets.
Perform exploratory data analysis using Python.
Analyse datasets to identify trends, patterns, and relationships.
Create meaningful charts and visualisations using Python.
Apply basic statistical concepts to data analysis.
Understand the fundamentals of machine learning.
Apply basic machine learning techniques to practical datasets.
Evaluate and interpret analytical results.
Generate data-driven insights for business and research applications.
Work with real-world datasets through practical exercises.
Develop a basic data science project using Python.

Course Highlights

Python Fundamentals

Learn essential Python programming concepts for data analysis and data science.

NumPy and Pandas

Work with Python libraries for numerical computing and data manipulation.

Data Cleaning

Learn to clean, transform, organise, and prepare datasets for analysis.

Exploratory Data Analysis

Explore datasets to discover trends, patterns, and relationships.

Data Visualisation

Create charts and visualisations using Matplotlib to communicate findings clearly.

Statistical Analysis

Apply basic statistical concepts to understand and analyse data.

Introduction to Machine Learning

Understand basic machine learning concepts and techniques using practical datasets.

Data-Driven Insights

Interpret analytical results and develop insights for business and research applications.

Hands-on Coding

Build confidence through practical coding exercises and guided activities.

Real-World Datasets

Practise data science techniques using practical datasets and real-world examples.

Business and Research Applications

Explore practical applications of data science across business and academic research.

Project-Based Learning

Apply acquired skills through practical assignments, assessments, and a basic project.

Course Details

Course Name	Data Science with Python
Duration	30 Hours
Mode of Teaching	Online / Offline
Course Fee	₹3,000/- per participant
Target Participants	Students, Job Seekers, Professionals, and Faculty
Key Tools and Libraries	Python, NumPy, Pandas, and Matplotlib

Assessment & Certification

Primax Certificate

A Certificate of Completion will be awarded by PRIMAX EDUACADEMY LLP, subject to successful completion of the prescribed examination.

External Certification

Certificates from NSDC may be provided, subject to successful completion of the respective external examinations and fulfilment of applicable requirements.

Note: Applicable examination and external certification fees are extra and shall be borne by the participant.

Course Syllabus

Download the syllabus for the Data Science with Python programme.

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