Tech Saksham Program (TSP) 4.0

10th February – 26th February 2025

Dronacharya Group of Institutions, Greater Noida in collaboration withEdunet Foundationconducted “Tech Saksham Program Foundation Course (TSP 4.0) - Linux, Python Programming, Data Analysis and Database Management” from 10^th -26^th February 2025.Mr. Aman Rai and Mr. Sarabjeet Singh facilitated the sessions as the trainer.

The Tech Saksham Program (TSP) 4.0 aimed to provide students with a comprehensive understanding of Linux, Python Programming, Data Analysis, and Database Management. The program was structured into five units, each covering key concepts and hands-on exercises to enhance practical knowledge. 

The program was conducted in two phases:

• February 10–12, 2025: SarabjeetSinghdelivered an insightful session on Resume Writing and Communication Skills, equipping students with essential professional skills for career success.
• February 13–26, 2025: Aman Rai conducted hands-on training on Linux, Python Programming, Data Analysis, and Database Management, providing students with technical expertise in high-demand domains.

Course Objectives:

• Understand the importance of a well-structured resume. Learn how to tailor a resume for different job roles.
• Highlight skills, achievements and experiences effectively. Use professional formatting and ATS-friendly resume techniques.
• Develop a comprehensive understanding of operating system concepts, particularly focusing on Linux OS.
• Gain familiarity with open-source software and understand the advantages of using Linux.
• Acquire proficiency in Linux commands and shell scripting.
• Gain proficiency in Python programming fundamentals.
• Develop command-line applications using Python, including a task manager and a calculator.
• Learn advanced Python programming concepts such as modules, packages, and file I/O.
• Gain practical experience in data analysis with Python.
• Understand relational database concepts and MySQL installation and administration.
• Learn to integrate Python with MySQL for executing SQL queries and handling query results.
• Understand the importance of data analysis in AI and Machine Learning projects.
• Develop critical thinking skills and problem-solving abilities through practical projects and case studies.

Program Benefits:

• Hands-on Experience: Gain practical experience through exercises and real-world scenarios/case studies.
• Industry Relevance: Stay up to date with current technologies, frameworks, and best practices.
• Portfolio Development: Build a strong portfolio showcasing your ability to solve case studies and demonstrate your skills to potential employers.
• Career Support: Receive guidance on career development in relevant tech domains.
• Upon successful completion of the program, learners will have a comprehensive understanding of Python programming, Data Analytics with Python, and database integration. They will be able to create functional applications and possess the necessary skills to pursue entry-level roles or further education in the field.

Skill Sets:

• Open-Source Software: Familiarity with open-source software and the benefits of using Linux.
• Linux Commands & Shell Scripting: Proficiency in Linux commands and shell scripting.
• Python Fundamentals: Proficiency in Python programming fundamentals.
• Command-Line Applications: Developing command-line applications using Python.
• Advanced Python Programming: Understanding Python modules, packages, and file I/O in Python.
• Data Analysis with Python: Practical experience in data analysis using Python.
• Relational Databases & MySQL: Understanding relational database concepts and MySQL administration.
• Python & MySQL Integration: Integrating Python with MySQL for executing and handling SQL queries.

During February 10–12, 2025

During the sessions, Mr. Sarabjeet Singhemphasized the importance of crafting a well-structured and impactful resume that effectively highlights one's strengths, achievements, and career objectives. He also shed light on the significance of strong communication skills in the workplace, covering both verbal and non-verbal aspects, including clarity of expression, active listening, and confident body language. Through real-life examples, interactive discussions, and practical tips, Mr. Singh inspired students to present themselves professionally and communicate effectively in various career-oriented scenarios. The session proved to be highly informative and motivating, leaving students better prepared to navigate the competitive job market with confidence

During February 13–26, 2025:Syllabus covered during the sessions were as under

Unit I: Linux Operating System

• Introduction to Operating System: Definition, functions, and role in managing hardware and software resources.
• Getting Started with Open-Source OS: Understanding open-source software and its advantages.
• Linux Kernel and Distributions: Overview of Linux kernel and popular distributions (Ubuntu, CentOS, Debian).
• Hands-on: Installation of Virtual Box and Ubuntu.
• Linux Commands: Basic commands for file management, navigation, and system information.
• Shell Scripting, SSH, and SCP Commands: Writing and executing shell scripts, remote access using SSH, and file transfer using SCP.
• Working with Text Editors: Introduction to nano and vi, file editing commands.
• Managing Linux Files and User Permissions: File permissions, ownership, user, and group management.

Unit II: Python Fundamentals

• Installation and Setup: Installing Python, configuring IDEs (Jupyter Notebook, VSCode, PyCharm), using GitHub Co-Pilot.
• Getting Started with Python: Writing the first Python program, introduction to data types (int, float, str, bool, lists, tuples, dictionaries, sets).
• Control Flow and Functions: Conditional statements (if, else, elif), loops (for, while), functions, and variable scope.
• Hands-on Projects:
  • Task Manager Application
  • Simple Calculator Application
• Object-Oriented Programming (OOP): Classes, objects, encapsulation, abstraction, inheritance, and polymorphism.
• Hands-on Project: Simple Banking System.

Unit III: Advanced Python Programming

• Modules and Packages: Creating, importing modules, using external libraries from PyPI.
• File I/O and Error Handling: Reading/writing files, handling exceptions.
• Hands-on: Data Analysis on a sales dataset.

Unit IV: Relational Databases and MySQL

• Introduction to Databases: Types of databases (Relational, NoSQL), importance of DBMS.
• Introduction to Relational Databases: Key concepts (tables, keys, relationships), MySQL installation and setup.
• SQL Commands: DDL, DML, DQL commands (CREATE, INSERT, SELECT, UPDATE, DELETE), CRUD operations.
• Hands-on Projects:
  • Task Management System
  • Database Schema Design and Implementation
• Python and MySQL Integration: Connecting Python with MySQL, executing SQL queries, handling results.
• Hands-on Project: Student Management System.

Unit V: Data Analysis with Python

• Introduction to Data Analysis: Importance, role in AI/ML.
• Data Analysis Libraries:NumPy, Pandas, Matplotlib, Seaborn.
• Hands-on Projects:
  • Image Processing with NumPy
  • Financial Data Analysis with Pandas
• Data Visualization: Creating plots with Matplotlib and Seaborn.
• Hands-on: Exploratory Data Analysis (EDA) on real-world datasets (housing prices, stock market, weather data).
• Case Studies: Real-world industry applications of data analysis.

Practical Sessions and Hands-on Activities

The training included multiple hands-on exercises and real-world projects to enhance learning outcomes. Some of the key activities were:

• Installation of Linux OS on VirtualBox.
• Development of Python-based applications (task manager, calculator, banking system).
• Execution of SQL queries and database management tasks.
• Integration of MySQL with Python for data-driven applications.
• Data analysis and visualization using NumPy, Pandas, and Matplotlib.

Assessment and Feedback

At the conclusion of the training, students participated in an End-Line Assessment to evaluate their understanding and skills. Feedback was collected to measure the effectiveness of the program and identify areas for improvement.

Key Takeaways from Feedback:

• Participants appreciated the hands-on approach.
• The inclusion of real-world projects enhanced understanding.
• Some students suggested extending the duration for more in-depth learning.

Ms. RichaJaiswal, Head of Training and Placement, concluded the session with a heartfelt vote of thanks, appreciating Mr. SarabjeetSingh and Mr. Aman Raifor their valuable insights. She emphasized the importance of such sessions in shaping students’ professional journeys and boosting their confidence. Ms. Jaiswal also encouraged students to actively apply the skills learned and continue striving for excellence in their career paths.

The Tech Saksham Program 4.0 successfully equipped participants with essential skills in Linux, Python programming, data analysis, and database management. The hands-on approach ensured practical application, preparing students for industry challenges.