Data Science with Python

45 Days : ₹ 4999

6 Months : Same As Courses

The Data Science with Python Internship is an industry-focused training program designed to build strong foundations in data analysis, statistics, and machine learning using Python. Interns gain hands-on experience working with real-world datasets, data visualization, and predictive models through practical assignments and projects.

data science with python

Who We Are?

At Kiyan Training Institute, located in Vaishali Nagar, Jaipur, we are a career-focused learning hub dedicated to building real-world technical skills, with specialized training in the Data Science With Python. Our mission is to bridge the gap between education and industry by offering practical, job-oriented training guided by experienced professionals. We emphasize hands-on projects, updated curricula, and personalized mentorship to help students gain confidence and workplace readiness. Whether you’re starting your career journey or upgrading your professional skills, our institute empowers you with the right knowledge, tools, and continuous support needed to succeed in today’s competitive digital landscape. 

who we are

Data Science With Python

The Data Science with Python Internship offers structured learning from data fundamentals to applied machine learning concepts using Python. Interns work on real-world datasets, perform data cleaning and visualization, and build analytical models to solve practical business problems. The program focuses on hands-on training, industry-relevant tools, and project-based learning. It prepares participants for entry-level data science and analytics roles with strong practical exposure.

internship

Internship Highlights

internship highlights

Practical, industry-oriented training

internship highlights

Regular performance feedback & evaluation

internship highlights

Mentorship from experienced professionals

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Skill development through live tasks & assignments

internship highlights

Internship certificate on successful completion

internship highlights

Hands-on experience with real-time projects

Overview

The Data Science with Python Internship is an industry-focused training program designed to help students and aspiring professionals build strong analytical, programming, and data-driven decision-making skills. This internship combines Python programming, data analysis, and machine learning fundamentals with hands-on practical learning and real-world use cases.

The program offers structured learning from data science basics to advanced concepts, with the depth of training increasing based on the internship duration. Interns gain practical exposure through real datasets, case studies, assignments, and projects aligned with current industry standards.

internship

Data Science with Python Highlights

  • Strong Foundation in Data Science & Python
    Learn Python programming, data analysis concepts, and statistical fundamentals essential for a career in data science.

  • Hands-on Learning with Industry Tools
    Gain practical experience using Python libraries such as NumPy, Pandas, Matplotlib, and introductory machine learning tools.

  • Real-World Projects & Case Studies
    Work on data-driven projects including data cleaning, visualization, and predictive analysis based on real-world datasets.

  • Machine Learning Fundamentals
    Understand supervised and unsupervised learning concepts with practical implementation using Python.

  • Mentorship & Performance Evaluation
    Learn under expert guidance with regular assessments, project reviews, and personalized feedback.

  • Career & Certification Support
    Receive internship certification, resume-building assistance, and interview preparation for data science roles.

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Data Science With Python Structure

  • What is Data Science & its applications

  • Data Science lifecycle

  • Types of data (structured & unstructured)

  • Role of Python in Data Science

  • Industry use cases and career paths

  • Python basics refresher

  • Data types and control structures

  • Functions and modules

  • Working with Jupyter Notebook

  • Writing clean and efficient Python code

  • Introduction to NumPy

  • Arrays and array operations

  • Indexing, slicing, and reshaping

  • Mathematical and statistical functions

  • Performance benefits of NumPy

  • Pandas Series and DataFrames

  • Data loading (CSV, Excel, JSON)

  • Data cleaning and preprocessing

  • Handling missing and duplicate values

  • Data filtering, grouping, and aggregation

  • Introduction to data visualization

  • Matplotlib basics

  • Seaborn for statistical visualization

  • Creating charts, graphs, and plots

  • Data storytelling and insights generation

  • Understanding datasets

  • Descriptive statistics

  • Outlier detection

  • Correlation analysis

  • Feature understanding and insights

  • Mean, median, mode, variance

  • Probability concepts

  • Data distributions

  • Hypothesis testing (intro)

  • Statistical analysis using Python

  • Introduction to Machine Learning

  • Supervised vs Unsupervised learning

  • Model training and evaluation

  • Linear & Logistic Regression

  • Classification algorithms

  • Clustering techniques

  • Train-test split

  • Performance metrics

  • Overfitting and underfitting

  • Cross-validation

  • Hyperparameter tuning (intro)

  • Data collection from APIs

  • Data preprocessing pipelines

  • Feature engineering basics

  • Handling large datasets

  • Real-world business problem solving

  • Hands-on practice with datasets

  • Mini project (45 Days)

  • Major data analysis project (3 Months)

  • Machine learning project (6 Months)

  • Live / client-based project (Paid Internship)

  • Project documentation and presentation

  • Git & GitHub basics

  • Model saving and loading

  • Basic deployment concepts

  • Debugging and optimization

  • Industry workflow and collaboration

  • Resume building for Data Science roles

  • Interview preparation (technical & case-based)

  • Mock interviews

  • Career guidance and roadmap planning

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Fee Structure

Internship Duration Options

  • 45 Days Internship

  • 6 Months Internship

  • Paid Internship (Performance-Based)

Program Overview

This internship program is designed to provide industry-oriented training with hands-on practical exposure. The curriculum is structured to match real-world requirements and can be customized based on internship duration and domain.

Practical Training & Projects

  • Hands-on exercises and assignments

  • Mini project (45 Days)

  • Live / real-world projects (3 & 6 Months)

  • Client-based project exposure (Paid Internship)

  • Code reviews and mentor feedback

Certification & Recognition

  • Internship completion certificate

  • Project / experience certificate (as applicable)

  • Performance-based recommendation letter (Paid Internship)

data science with python

Certificate of Successful Completion

How will you get your certificate?

At Kiyan Training Institute, recognized as the Best Training Institute In Vaishali Nagar, students receive their certificate after successfully completing the course and internship requirements. Learners must attend the training sessions, complete all practical assignments, and work on the given live projects to demonstrate their skills.

Once the final project is reviewed and approved by our expert trainers, students are awarded a recognized course and internship completion certificate from Kiyan Training Institute. This certificate validates their practical knowledge, enhances professional credibility, and helps improve career opportunities in the IT industry.

kiyan certificate

Reviews from students

How Our instructors are certified

At Kiyan Training Institute, our instructors are certified professionals with strong academic backgrounds and hands-on industry experience. Each trainer holds recognized certifications in their respective domains and has successfully completed professional training programs that validate their technical expertise.

Our instructors are also industry practitioners who have worked on real-world projects, ensuring they bring practical knowledge into the classroom. They undergo continuous skill upgrades, assessments, and teaching evaluations to stay aligned with the latest technologies and industry standards. This ensures students receive high-quality, up-to-date, and career-focused training at Kiyan Training Institute.

certified instructor

Frequently Asked Questions(FAQ)

FAQ

No such prerequisite, however a basic knowledge of the subject is preferable.

 

Generally, the average training duration is 2 hours daily. Although if someone wants a half-day or full-day fast track course these are also available.

 

Yes! At Kiyan Training Institute, every student receives comprehensive study material that covers all topics of the course in detail. Our study resources include step-by-step notes, practical examples, project guides, and assignments to make learning easier and more effective.

The material is designed to support both classroom learning and self-study, so you can revise concepts anytime, practice at your own pace, and confidently complete your projects. This ensures you have everything you need to succeed in your web development journey.

The certificate shall be provided in both digital and physical form once you complete the training. The certificate shall be displayed in your login after you complete the training. You can collect the physical certificate from the center.

Yes, the Kiyan Training Institute certificate is widely accepted by industries and educational institutions as proof of practical skills and professional training. Our certificates are issued after successful course completion and project evaluation, ensuring that learners have gained real-world, job-relevant knowledge.

This is lifetime access to your login and all its benefits.

Yes! At Kiyan Training Institute, we provide dedicated placement assistance to help you kickstart your career. After completing the course, students get guidance on resume building, interview preparation, and job readiness.

We also connect our learners with industry partners, IT companies, and startups for internships and job opportunities. Our placement support ensures that you not only gain technical skills but also the confidence and resources to secure a rewarding position in the web development field.

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Internship Duration

  • 45 Days Internship

  • 6 Months Internship

  • Paid Internship (Performance-Based)

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