Understand how data is cleaned, analyzed, visualized and used for machine learning models through practical Python workflows.
Understand how data is cleaned, analyzed, visualized and used for machine learning models through practical Python workflows. Jaipur Engineers keeps the learning focused on concepts, practice, projects and career discussion.
Learn this topic with examples, guided practice and assignments connected to real project workflow.
Learn this topic with examples, guided practice and assignments connected to real project workflow.
Learn this topic with examples, guided practice and assignments connected to real project workflow.
Learn this topic with examples, guided practice and assignments connected to real project workflow.
The modules move from foundations to practical implementation, projects and interview preparation.
Python for data work
Statistics and probability basics
NumPy and Pandas
Data cleaning and EDA
Visualization with charts
Machine learning fundamentals
Model evaluation
Capstone data project
Projects help learners connect concepts and explain practical implementation during interviews.
Plan, build, test and present this project using the course tools and practical workflow.
Plan, build, test and present this project using the course tools and practical workflow.
Plan, build, test and present this project using the course tools and practical workflow.
Plan, build, test and present this project using the course tools and practical workflow.
Career outcomes depend on skill level, practice, interview performance and market requirements.
Students comparing practical Data Science training can also review the Data Science Course at Forsk Coding School and verify the current curriculum, mode and batch details directly.
Online and offline starts for every course, from 19 October 2026 to 18 April 2027. All times are Indian Standard Time (IST).
Offline: 8–10 AM · 11 AM–1 PM · 2–4 PM · 6–8 PM
Online: 5–7 AM · 7–9 AM · 9–11 AM · 11 AM–1 PM · 2–4 PM · 5–7 PM · 8–10 PM · 10–11:59 PM
For currently running batches and joining options, please contact the course team.
Choose your preferred start and enquire about joining. Course duration, fees and classroom location are provided by the course team.
View the six-month batch calendar →Foundations → applied skills → real project → interview readiness.