Published on Computer Science & IT (https://csit.iisuniv.ac.in)

Home > Programming for Analytics

Programming for Analytics [1]

Paper Code: 
DAC 233
Max. Marks: 
100.00
Objective: 

This module introduces students to Python and form foundation for further analysis of Datasets.

12.00
Unit I: 

Data Science, Why Python for Data Science, Jupyter Installation for Python, Features of Python, Python Applications

Flowchart based on simple computations, iterations

12.00
Unit II: 

Basics of Python: variables, data types, operators & expressions, decision statements.

Loop control statements.

12.00
Unit III: 

Functions & string manipulation

Introduction to list: Need, creation and accessing list. Inbuilt functions for lists.

12.00
Unit IV: 

Introduction to tuples, sets and dictionaries: Need, Creation, Operations and in-built functions

12.00
Unit V: 

Introduction to File Handling: need, operations on a text file (creating, opening a file, reading from a file, writing to a file, closing a file)

Reading and writing from a CSV file.

ESSENTIAL READINGS: 
  1. Albert Lukaszewski [2], “MySQL for Python”, Packt Publishing [3]
  2. Madhavan (2015), “Mastering Python for Data Science”,Packt
  3. McKinney (2017). Python for Data Analysis. O’ Reilly Publication
  4. Curtis Miller,”Hands-On Data Analysis with NumPy and Pandas [4]” , Packt Publishing [3]
Academic Year: 
2019-20 [5]

Follow Computer Science & IT on:

IIS (Deemed to be University)

Gurukul Marg, SFS, Mansarovar, Jaipur 302020, (Raj.) India Phone:- +91-141-2400160-61, 2397906-07, Fax: 2395494, 2781158

Source URL: https://csit.iisuniv.ac.in/courses/subjects/programming-analytics-0

Links:
[1] https://csit.iisuniv.ac.in/courses/subjects/programming-analytics-0
[2] https://www.amazon.com/s/ref=dp_byline_sr_book_1?ie=UTF8&text=Albert+Lukaszewski&search-alias=books&field-author=Albert+Lukaszewski&sort=relevancerank
[3] https://www.packtpub.com/big-data-and-business-intelligence/hands-data-analysis-numpy-and-pandas
[4] https://ntguardian.wordpress.com/books/hands-on-data-analysis-with-numpy-and-pandas/
[5] https://csit.iisuniv.ac.in/academic-year/2019-20