Dr. Kavindra Jain

Prof. Vinita Shah

Datascience using python

About Course

The course aims at equipping participants to be able to use python programming for solving data science problems. As the world entered the era of big data, the need for its storage also grew. Now when Hadoop and other frameworks have successfully solved the problem of storage, the focus has shifted to the processing of this data. Data Science is the secret sauce here. Main focus of the audit course is to make students start learning data science problems which is on high demand at present in industry. Moreover, hands-on exercises will also be carried out to provide the participants the practical exposure of the concepts and their implementation using Python.

About Faculty:

Target Audience:

Second Year - IT/CP/EC

Duration:10 Hour


Sr No Content
1 Introduction, Terminology, data science process, Types of data, Real time applications
2 Basic elements of Python, Commenting, Variables, Data Types, Operators
2 Mini Project 1 Machine Learning Project 1 Build Project like given above with some other dataset (Download datasets from kaggle) Link: https://www.kaggle.com/datasets.
3 Control Structures, Looping, Iterations, String
4 Data Structures: List, Tuple, Operations
5 Data Structures Dictionary,Set,Operations
6 Data Science toolkit : Introduction of Orange, Anaconda, R tool
7 Data Manipulations : Data preprocessing, Data manipulations, Pandas Library
9 Data Visualization : Other libraries like Seaborn, Plotly, Pydot, Bokeh
10 Case Study : Predicting price of pre-owned cars, Classifying personal income