![List of
Reference
[1]YBI FOUNDATION :
HTTPS://WWW.YBIFOUNDATION.O
RG/COURSE/PYTHON-DSA-
INTERNSHIP2
[2] KAGGLE :
HTTPS://WWW.KAGGLE.COM/COD
E/AGAILLOTY/USE-PANDAS-TO-
EXPLORE-DATA
[3] WIKIPEDIA :
HTTPS://EN.WIKIPEDIA.ORG/WIKI/
DATA_STRUCTURE](https://image.slidesharecdn.com/3204internshippptpdf-240626080047-676d9db9/85/Internship-PPT-on-YBI-Dfata-sciencepdf-pdf-14-320.jpg)
Internship PPT on YBI Dfata sciencepdf.pdf
- 1. JSPM’S Jayawantrao Sawant CollegeOf Engineering, Hadapsar, Pune 28 Department of Computer EngineeringThird Year (A.Y. 2023 – 2024) 310255 : Internship Presented by – Student Name – Swapnil Bansode Roll number : 3204 Guided by – Dr. Mansi Bhonsle Computer Dept. JSPM’s JSCO
- 2. Contents / Agenda • Acknowledgement • Internship Offer Letter • Abstract • Introduction. •Title/Problem statement/Objectives. • Motivation/Scope and rationale of the study. • Methodological Details • Results/ Analysis / Inferences . • Suggestions/ Recommendations for improvement to industry. • Attendance Record/ weekly Report • List of Reference (Library books, magazines and other sources). • Internship Place Details. • Internship completion certificate. • Conclusion
- 3. Course Objectives • To encourage and provide opportunities for students to get professional/personal experience through internships. • To learn and understand real life/industrial situations. • To get familiar with various tools and technologies used in industries and their applications. • To nurture professional and societal ethics. • To create awareness of social, economic and administrative considerations in the working environment of industry organizations.
- 4. Course Outcomes CO1:To demonstrate professional competence through industry internship. CO2:To apply knowledge gained through internships to complete academic activities in a professional manner. CO3:To choose appropriate technology and tools to solve given problem. CO4:To demonstrate abilities of a responsible professional and use ethical practices in day-to-day life. CO5: Create network and social circle and developing relationships with industry people. CO6:To analyze various career opportunities and decide carrier goals
- 5. Duration Internship is to be completed after semester 5 and before commencement of semester 6 of at least 4 to 6 weeks; and it is to be assessed and evaluated in semester 6.
- 7. Abstract Python currently is one of the most popular programming languages, and as such, it has become vital for students to understand this concept in this language. Throughout the course, emphasis is placed on practical application, with hands-on exercises and coding assignments reinforcing theoretical concepts. By completing the YBI Foundation Python with DSA course, students gain valuable skills that are highly sought after in the technology industry. Whether pursuing a career in software development, data analysis, or artificial intelligence, graduates of the course are well-prepared to tackle complex programming tasks and excel in their chosen fields.
- 8. Title/Problem statement/Objectives. 1. To provide students with a solid foundation in Python programming language, covering fundamental syntax, control structures, and object- oriented programming principles. 2. To introduce students to essential data structures such as arrays, linked lists, stacks, queues, trees, and graphs, and elucidate their applications in solving real-world problems. 3. To familiarize students with fundamental algorithms and algorithmic techniques including sorting, searching, recursion, and dynamic programming. 4. To cultivate algorithmic thinking and problem-solving skills among students, enabling them to approach computational challenges systematically and efficiently.
- 9. Motivation/Scope and rationale of the study. The motivation behind theYBI Foundation Python with Data Structures and Algorithms (DSA) course stems from the increasing demand for individuals skilled in programming and algorithmic problem-solving across various industries. The scope of theYBI Foundation Python with DSA course is multifaceted, encompassing both theoretical knowledge and practical application. The rationale behind the study lies in the recognition of Python's widespread adoption and versatility, making it an ideal language for beginners and experienced programmers alike.
- 10. Methodological Details Algorithm Sorting algorithms: Bubble sort, selection sort, insertion sort, merge sort, quick sort Searching algorithms: Linear search, binary search Recursion: Understanding recursion and recursive algorithms Dynamic programming: Memoization, tabulation Graph algorithms: Depth-first search (DFS), breadth-first search (BFS), Dijkstra's algorithm, A* search algorithm Model : Linear Regression Model , Logistic Regression Model Hardware Requirements: • Personal computer or laptop • Sufficient RAM (at least 4GB recommended) • Adequate storage space for software installations and project files. • Stable internet connection for accessing course materials and resources. Software Requirements: • Operating System:Windows, macOS, or Linux • Google Colab • Web browser for accessing online resources and learning platforms. • Additional libraries and packages as required for specific course modules (e.g., NumPy, pandas, matplotlib)
- 11. Results/ Analysis / Inferences Mastery of Python Programming: Upon completing the course, students demonstrate a proficient understanding of Python programming language, encompassing fundamental syntax, control structures, functions, and object-oriented programming principles. 2. Proficiency in Algorithms:Through the course, students develop proficiency in fundamental algorithms and algorithmic techniques, including sorting, searching, recursion, and dynamic programming. . Problem-Solving Skills:The course cultivates students' problem-solving skills and algorithmic thinking, enabling them to approach complex computational problems with confidence and creativity. Hands-on Experience:Through coding exercises, projects, and practical applications, students gain hands-on experience applying Python programming, data structures, and algorithms to real-world scenarios.
- 12. Suggestions/ Recommendations for improvement to industry. Enhance Practical Application: Increase the focus on hands-on, practical learning experiences by including more coding exercises, projects, and real-world applications. Provide Industry-Relevant Case Studies: Integrate industry-relevant case studies and examples into the course curriculum to illustrate how Python programming and DSA concepts are applied in real-world scenarios. Incorporate Feedback Mechanisms: Implement feedback mechanisms to gather input from students regarding their learning experiences, course content, and areas for improvement.
- 13. Weekly Report NameOFTHETOPIC/MODULECOMPLETED Day Date Week 1 Introduction Monday 18-12-2023 Scope of AI and Data Skills Wednesday 20-12-2023 Internship Class 1(Introduction to Python) Friday 22-12-2023 Week 2 Internship Class 2(Introduction to Google Colab) Monday 25-12-2023 Python Libraries Wednesday 27-12-2023 Read Data As DataFrame, Explore DataFrame Friday 29-12-2023 Week 3 Create Kaggle Account Monday 01-01-2023 Internship Class 3(Train Test Split) Wednesday 03-01-2023 InternshipClass 4(Linear Regression Models) Friday 05-01-2023 Week 4 InternshipClass 5(Logistic Regression Models) Monday 08-01-2023 Fundamental Practice Projects Wednesday 10-01-2023 Final Project Friday 12-01-2023 Week 5 Final Quiz Wednesday 17-01-2023
- 14. List of Reference [1]YBI FOUNDATION : HTTPS://WWW.YBIFOUNDATION.O RG/COURSE/PYTHON-DSA- INTERNSHIP2 [2] KAGGLE : HTTPS://WWW.KAGGLE.COM/COD E/AGAILLOTY/USE-PANDAS-TO- EXPLORE-DATA [3] WIKIPEDIA : HTTPS://EN.WIKIPEDIA.ORG/WIKI/ DATA_STRUCTURE
- 15. Internship Place Details Company Name:YBI Foundation Internship Mode: Online Internship Platform : https://www.ybifoundation.org/ Address: C-176B Lane No 38, Mahavir Enclave Part 3, New Delhi, Delhi 110059 CompanyVision: " Building Careers of Tomorrow." Company Mission: " To provide opportunities to advance your professional journey through rigorous online programs that offer personalised support, developed in collaboration with best-in-class faculty and industry professionals."