EDA on movies database – Mini House price prediction using Regression – Mini Predict survival on the Titanic using Classification – Mini Image Clustering – Mini Document Clustering – Mini Twitter US Airline Sentiment – Major Restaurant revenue prediction – Major Disease Prediction – Major Note: Depends upon Trainers above projects may vary

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★★★★★

(2,095 ratings) 50,000+ Student

PYTHON FOR DATASCIENCE TRAINING IN KOCHI

Join our intensive Python for Data Science training in Kochi! Learn essential Python programming skills and advanced data manipulation techniques. Gain hands-on experience with popular data science libraries like NumPy, Pandas, and Matplotlib. Explore data visualization, statistical analysis, and machine learning concepts. Our expert instructors will guide you through practical projects and real-world applications. Kickstart your career in data science today with our comprehensive training program in Kochi!

Radical Technologies

50,000+ English 10 weeks Weekdays / Weekends Classroom / Online / Corporate

Online / Classroom

PYTHON FOR DATASCIENCE TRAINING IN KOCHI

IT Training Programme

Duration 10 weeks

Batch Type Weekdays / Weekends

Mode of Training Classroom / Online / Corporate

Locations Pune, Bangalore, Kochi

Language English

Certification Globally Recognized

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100% placement assistance

Enquire Now

Get course fees, batch dates & a callback

We never share your details.

What you'll learn

Understand core concepts and architecture from the ground up

Get hands-on with the tools used by working professionals

Build real-world projects you can add to your portfolio

Learn industry best practices and coding standards

Practice with real datasets and real-world scenarios

Prepare for certification and technical interviews

Work on collaborative, team-based exercises

Apply performance tuning and optimization techniques

Understand how the technology fits into a larger ecosystem

Complete assignments reviewed by mentors

Programme Overview

18 sections covering the complete curriculum — a single, progressive learning arc.

10 weeks

Training Duration

Core Modules

154

Total Lessons

4.8★

Average Rating

50K+

Students Trained

Foundations & Core Concepts

Get hands-on with the fundamentals and architecture — the building blocks for everything that follows.

Fundamentals Architecture Setup

Hands-On Practical Training

Work through real exercises and assignments designed to mirror what you will do on the job.

Practicals Assignments Labs

Real-World Projects

Apply what you have learned to end-to-end projects that go straight into your portfolio.

Projects Portfolio Case Studies

Advanced Techniques

Go beyond the basics with advanced concepts, integrations and production-grade practices.

Advanced Integration Best Practices

Ecosystem Integration

Understand how this technology connects with the broader tools and platforms used in the industry.

Ecosystem Tools Platforms

Performance & Interview Prep

Master optimization techniques and prepare for the technical interview questions employers actually ask.

Optimization Interview Prep Certification

Who is this programme for?

Whether you're already writing code, working with data, or supporting applications today — this programme is built to take you into a uncategorised role.

Software Developers

Engineers who want to add this skill set to their toolkit

Analysts & Consultants

Professionals moving into a more technical, hands-on role

IT Professionals

System admins and support engineers upskilling into a new domain

Fresh Graduates

CS/IT graduates aiming for a job-ready technical role

Course Curriculum

18 sections • 154 lessons • 10 weeks

Jump to Section

Total Duration

10 weeks

100% Practical · Unlimited Doubt Sessions

01 1: Introduction / 2: Variables & Data Types

1: Introduction

What is Python..?

A Brief history of Python

Why Should I learn Python..?

Installing Python

How to execute Python program

Write your first program

2: Variables & Data Types

Variables

Numbers

String

Lists ,Tuples & Dictionary

02 3: Conditional Statements & Loops / 4: Control Statements

3: Conditional Statements & Loops

if…statement

if…else statement

elif…statement

The while…Loop

The for….Loop

4: Control Statements

continue statement

break statement

pass statement

03 5: Functions / 6: Modules & Packages

5: Functions

Define function

Calling a function

Function arguments

Built-in function

6: Modules & Packages

Modules

How to import a module…?

Packages

How to create packages

04 7: Classes & Objects / 8: Files & Exception Handling

7: Classes & Objects

Introduction about classes & objects

Creating a class & object

Inheritance

Methods Overriding

Data hiding

8: Files & Exception Handling

Writing data to a file

Reading data from a file

Read and Write data from csv file

try…except

try…except…else

finally

os module

05 Module 2:Introduction to Machine learning(ML) / Module 3:NumPy Arrays

Module 2:Introduction to Machine learning(ML)

What is Machine learing?

Overview about sci-kit learn and tensorflow

Types of ML

Some complementing fields of ML

ML algorithms

Machine learning examples

Module 3:NumPy Arrays

Creating multidimensional array

NumPy-Data types

Array attributes

Indexing and Slicing

Creating array views and copies

Manipulating array shapes

I/O with NumPy

06 Module 4:Working with Pandas / Module 5: Python Regular Expressions

Module 4:Working with Pandas

Installing pandas

Pandas dataframes

Pandas Series

Data aggregation with Pandas DataFrames

Concatenating and appending DataFrames

Joining DataFrames

Handling missing data

Module 5: Python Regular Expressions

What are regular expressions?

The match Function

The search Function

Matching vs searching

Search and Replace

Extended Regular Expressions

Wildcard

07 Module 6:Python Oracle Database Access / Module 7:Web Scraping in Python

Module 6:Python Oracle Database Access

Install the cx_Oracle and other Packages

Create Database Connection

CREATE, INSERT, READ, UPDATE and DELETE Operation

DML and DDL Oepration with Databases

Performing Transactions

Handling Database Errors

Disconnecting Database

Module 7:Web Scraping in Python

08 Module 8:Regression based learning / Module 9:Clustering based learning

Module 8:Regression based learning

Simple regression

Multiple regression

Logistic regression

Predicting house prices with regression

Module 9:Clustering based learning

Definition

Types of clustering

The k-means clustering algorithm

09 Module 5:Data mining / Module 6:Classifiation – Sentiment Analysis

Module 5:Data mining

Introducing data mining

Decision Tree

Affiity Analysis

Clustering

Module 6:Classifiation – Sentiment Analysis

10 Module 7:Natural Language Processing / Module 8:Making Sense of data through Visualization

Module 7:Natural Language Processing

Install nltk

Tokenize words

Tokenizing sentences

Stop words with NLTK

Stemming words with NLTK

Speech tagging

Sentiment analysis with NLTK

Module 8:Making Sense of data through Visualization

Introducing matplotlib

Bar Charts

Line Charts

Scatter plots

Bubble charts

11 Module 9:Working with openCV / Module 10:Performing predictions with Linear Regression

Module 9:Working with openCV

Setting up opencv

Loading and displaying images

Applying image filters

Tracking faces

Face recognition

Module 10:Performing predictions with Linear Regression

Simple linear regression

Multiple regression

Training and testing model

12 Projects

EDA on movies database	Mini
House price prediction using Regression	Mini
Predict survival on the Titanic using Classification	Mini
Image Clustering	Mini
Document Clustering	Mini
Twitter US Airline Sentiment	Major
Restaurant revenue prediction	Major
Disease Prediction	Major

Note: Depends upon Trainers above projects may vary

13 L1 Tasks

1. Basic user account management (creating, modifying, and deleting users).

2. Password resets and account unlocks.

3. Basic file system navigation and management (creating, deleting, and modifying files and directories).

4. Basic troubleshooting of network connectivity issues.

5. Basic software installation and package management (installing and updating software packages).

6. Viewing system logs and checking for errors or warnings.

7. Running basic system health checks (CPU, memory, disk space).

8. Restarting services or daemons.

9. Monitoring system performance using basic tools (top, df, free).

10. Running basic commands to gather system information (uname, hostname, ifconfig).

14 L2 Tasks

1. Intermediate user account management (setting permissions, managing groups).

2. Configuring network interfaces and troubleshooting network connectivity issues.

3. Managing file system permissions and access control lists (ACLs).

4. Performing backups and restores of files and directories.

5. Installing and configuring system monitoring tools (Nagios, Zabbix).

6. Analyzing system logs for troubleshooting purposes.

7. Configuring and managing software repositories.

8. Configuring and managing system services (systemd, init.d).

9. Performing system updates and patch management.

10. Monitoring and managing system resources (CPU, memory, disk I/O).

15 L3 Tasks

1. Advanced user account management (LDAP integration, single sign-on).

2. Configuring and managing network services (DNS, DHCP, LDAP).

3. Configuring and managing storage solutions (RAID, LVM, NFS).

4. Implementing and managing security policies (firewall rules, SELinux).

5. Implementing and managing system backups and disaster recovery plans.

6. Configuring and managing virtualization platforms (KVM, VMware).

7. Performance tuning and optimization of system resources.

8. Implementing and managing high availability solutions (clustering, load balancing).

9. Automating system administration tasks using scripting (Bash, Python).

10. Managing system configurations using configuration management tools (Ansible, Puppet).

16 L1-L2 Transition Tasks

1. Learning basic shell scripting for automation tasks. 2. Understanding file system permissions and ownership. 3. Learning basic networking concepts (IP addressing, routing). 4. Learning how to use package management tools effectively. 5. Familiarizing with common Linux commands and utilities. 6. Understanding basic system architecture and components. 7. Learning basic troubleshooting techniques and methodologies. 8. Familiarizing with basic security principles and best practices. 9. Learning how to interpret system logs and diagnostic output. 10. Understanding the role and importance of system backups and restores.

17 L2-L3 Transition Tasks

1. Advanced scripting and automation techniques (error handling, loops).

2. Understanding advanced networking concepts (VLANs, subnetting).

3. Familiarizing with advanced storage technologies (SAN, NAS).

4. Learning advanced security concepts and techniques (encryption, PKI).

5. Understanding advanced system performance tuning techniques.

6. Learning advanced troubleshooting methodologies (root cause analysis).

7. Implementing and managing virtualization and cloud technologies.

8. Configuring and managing advanced network services (VPN, IDS/IPS).

9. Implementing and managing containerization technologies (Docker, Kubernetes).

10. Understanding enterprise-level IT governance and compliance requirements.

18 L3 Tasks and Beyond

1. Designing and implementing complex IT infrastructure solutions. 2. Architecting and implementing highly available and scalable systems. 3. Developing and implementing disaster recovery and business continuity plans. 4. Conducting security audits and vulnerability assessments. 5. Implementing and managing advanced monitoring and alerting systems. 6. Developing custom automation solutions tailored to specific business needs. 7. Providing leadership and mentorship to junior team members. 8. Collaborating with other IT teams on cross-functional projects. 9. Evaluating new technologies and making recommendations for adoption. 10. Participating in industry conferences, workshops, and training programs.

Tools & Technologies

Every tool listed here is installed, configured and used in a hands-on lab session.

Core Tools

Hands-On Labs

Practical Environment

Industry-Standard Tools

Real-World Setup

Guided Exercises

Skill Building

Sample Datasets

Practice Material

Practice & Projects

Mini Projects

Applied Practice

Assignments

Mentor Reviewed

Doubt Sessions

Live Support

Career Readiness

Resume Building

Career Support

Mock Interviews

Interview Prep

Certification Prep

Global Recognition

Deployment & Delivery

Production Practices

Real-World Ready

Best Practices

Industry Standards

154+

Hands-On Lessons

Core Modules

10 weeks

Training Duration

100%

Practical Training

You don't just learn PYTHON FOR DATASCIENCE TRAINING IN KOCHI. You ship it.

Three major projects, each mirroring how production teams actually work — from guided foundations to a portfolio-ready capstone.

PROJECT // 01

Guided Foundation Project

→Requirement Analysis

→Guided Implementation

→Mentor Review

→Iteration

Foundation Beginner

Apply the fundamentals in a structured, mentor-reviewed project

Take the core concepts from the first half of the curriculum and apply them to a realistic scenario, with guidance and feedback from your mentor at every step.

Structured project brief

Step-by-step implementation

Mentor feedback and review

Documented outcome

Stack Core Concepts Best Practices

PROJECT // 02

Applied Practice Project

→Scenario Design

→Independent Build

→Testing & Validation

→Peer Review

Applied Intermediate

Build a more independent project mirroring real production scenarios

Work through a project that combines multiple concepts from the curriculum, closer to how work is actually structured on the job — less hand-holding, more ownership.

End-to-end implementation

Testing and validation

Documentation

Peer/mentor review

Stack Applied Skills Testing

PROJECT // 03

Capstone Project

→Planning

→End-to-End Build

→Review & Refinement

→Presentation

Capstone Advanced

Take a project from requirements to a polished, portfolio-ready deliverable

Your final project — plan, build, test and present a complete solution using everything covered in the curriculum, reviewed by mentors before you graduate.

Complete working solution

Presentation-ready documentation

Mentor sign-off

Portfolio-ready deliverable

Stack Full Curriculum Portfolio

All 3 projects go directly into your portfolio & resume — reviewed by mentors before you graduate.

See Sample Project Reports

Upcoming Batches

No upcoming batches scheduled right now. Enquire to get notified.

Why Radical Technologies

Live Online Training

Highly practical oriented training
Installation support on your system
24/7 Email and Phone support
100% Placement Assistance
Global Certification Preparation
Trainer-Student Interactive Portal
Assignments and Projects by Mentors

Live Classroom Training

Weekend / Weekdays / Morning / Evening batches
80:20 Practical and Theory ratio
Real-life Case Studies
Easy make-up for missed sessions
PSI | Kryterion | Redhat Test Centers
Lifetime Video Classroom Access (coming soon)
Resume Prep and Mock Interviews

Self-Paced Training

Learn 300+ courses at your own time
50,000+ Satisfied Learners
Course Completion Certificate
Practical Labs available
Mentor Support available
Doubt Clearing Session available
10% Discounted Global Certification

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Global Certification

Radical Technologies is the leading IT certification institute in Kochi, offering globally recognized certifications across various domains. With expert trainers and comprehensive materials, we ensure students gain in-depth knowledge and hands-on experience to excel in their careers. Our certification programs are tailored to meet industry standards — from cloud technologies to data science — empowering individuals to stay ahead in the ever-evolving tech landscape.

Career Services

At Radical Technologies, we are committed to your success beyond the classroom. Our 100% Job Assistance program ensures that you are not only equipped with industry-relevant skills but also guided through the job placement process. With personalised resume building, interview preparation, and access to our extensive network of hiring partners, we help you take the next step confidently into your IT career.