Course Timing & Duration

Timings: 2 Hrs per day (6:30 pm to 8:30 pm, Wednesday to Friday)

Total Course Duration : 5 Weeks (30 Hrs)

Batch Size : 30
Regular assessment will the done to check the performance of candidates.

Prerequisite : Students should have their own laptop/Desktop.

Course Introduction Lecture : TBA

Course Orientation Talk : TBA

Course Introduction Lecture by Tushar Kute, Data Scientist, MITU Skillologies, Pune: 15^th February 2023 (6:30 pm to 8:30 pm)
http://tusharkute.com . He is B.E. Computer from COEP and M.E. CSE from MIT with 17 years experience in teaching and training. He is Microsoft Certified Technology Associate in Python Programming. He has conducted 30 corporate batches of AI & DS using Python and over 200 student training programs across Maharashtra.

 

Eligibility

10+2 or equivalent.

Course Contents

1. Programming Language Principles and Objectives
   • What is Computer Programming (OOPS vs. Non-OOPS, types and names of coding language.
   • Computer Science fundamentals like OS,SDD, File Structure,
   • Data Structure, GUI, .Exe/APIs, Docker concepts ( Only concepts with examples)
   • Logic-gate and basics how computer Process inputs (bytes, Boolean principles)
2. Python Programming
   • Introduction
   • History and Why Python ( Benefits over other Languages like Java, Prologue, C/C++, C#, F#)
   • What are Syntax and Semantics of Python (how to avoid compilation error)
   • Variables, Data Types
   • Expressions - Print functions, operators
   • Unicode string and data
   • Type Casting, Input
   • if-elif-else, while and for loop
   • break, continue, pass keywords
   • List, Tuple, Set, Dictionary Functions
3. Functions
   • Built-in functions
   • User defined functions
4. Files
   • Opening/Reading/Writing
5. Exception Handling
6. Regular Expression Matching
   • What is regular expression
   • Regex edit and validation tools
   • Calling of Regex in code and Use the re library
7. Module: Use of Python: Libraries and Packages
   • Introduction to Jupyter Notebook
   • Introduction to GitHub repository of ready python codes and how to install and run them
   • Library Functions and Installing
8. Packages/Tools/Calling APIs
   • Unicode text usage
   • Beautiful Soup
   • Pandas
   • NLTK/ SpaCy framework ( NLP concepts and tools usage-PoS tagger, NER, Summarization through such frameworks)
9. Applications of Computational
10. Linguistics and Natural Language
11. Processing
12. Creating the word-clouds
13. Text Vectorization
14. Python Data Analytics Libraries
15. Using Machine Learning for Classification and Prediction

Prime Highlights of the Course

Complete study material of the course will be made available for participants through Google Classroom. Recording of all lectures will be available regularly for the course participants. Apart from regular lectures, every Monday there will be discussion session to discuss participants queries. Convenient timing for working students and professionals.

Assessment

Participants’ performance will be assessed (1) continually (this assessment will be out of 50 marks and will include regularity of attendance and students’ performance in internal assignments) and (2) at the end of the course (this assessment will be out of 50 marks).

Certificate

The final certification, issued by Deccan College, Pune and MITU Skillologies will be issued only to students who pass in both components of the assessment (i.e. continuous and final). The passing mark will be 25 out of 50 marks in each component separately.

Payment Details

Payment mode : Online
Account Details
Bank: Central Bank of India
Account Name: Deccan College Deemed University Account
Account Number: 1156861828
IFSC Code: CBIN0280664
Branch: Yerawada

Kindly share transaction details on python.linguistics@dcpune.ac.in

Contact Details:

Contact : +91 9011028445 , +91 9960163010
Email : python.linguistics@dcpune.ac.in

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