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Bootcamp for Data Analysis: Python, NumPy, and Pandas
Science And Technology

Bootcamp for Data Analysis: Python, NumPy, and Pandas

This 2-week training program introduces participants to data analysis using Python, focusing on NumPy and Pandas. It provides hands-on experience in handling, cleaning, and analyzing real-world datasets. Learners will develop practical skills in data manipulation and basic visualization, enabling them to solve real-life data problems. The course is designed for beginners and builds a strong foundation for further learning in data science and analytics.
Course ModeOnline
Duration2 Weeks
Starts25 May 2026
Ends05 Jun 2026
Course Fee
₹1,000 /-
Registration Closed
About The Course

Overview

The Data Analysis Bootcamp is designed to provide a comprehensive introduction to data analysis using Python. This course focuses on building a strong foundation in handling, processing, and interpreting data for real-world applications. It emphasizes practical learning through hands-on exercises and projects, enabling learners to gain industry-relevant skills. Participants will explore data-driven decision-making techniques and develop the ability to extract meaningful insights from structured datasets.

Learning Goals

Course Outcomes

By the end of this course, learners will be able to efficiently analyze and interpret datasets using Python tools. They will gain proficiency in using NumPy for numerical computations and Pandas for data manipulation. Students will develop the ability to clean, organize, and visualize data, enabling them to derive actionable insights. Additionally, they will be prepared to apply these skills in academic projects, research work, and entry-level industry roles in data analysis.

Curriculum

Course / Modules

The course is structured into modules that progressively build analytical skills. It begins with an introduction to Python programming basics, followed by in-depth coverage of essential libraries such as NumPy and Pandas. Learners will work with data manipulation, cleaning, and transformation techniques and understand how to handle real-world datasets efficiently. Advanced modules include data visualization, exploratory data analysis, and basic statistical techniques to interpret data patterns and trends.

Learn From Experts

Our Trainers

Mr. Kapil Kumar Sahu
Mr. Kapil Kumar Sahu
Co-founder, CEO of NDMSK Technology Pvt Ltd. MP Nagar, Zone-I, Bhopal MP