Python Programming and Data Exploration in Python

Undergraduates and graduates looking to enter the domain of data analytics and wanting to become hands-on with Python programming, understanding machine learning algorithms and building machine learning models in python.

Programme starts with the basis of python programming and progresses towards imparting in-depth knowledge of python programming required for conducting data analysis in python, evolving into working with data in data analysis in Python.

Expert Faculty:Experienced faculty in the related field interacting with students. Apart from guiding students on concepts and its implementation, he will pose challenges to learners to think through all the topics leading to better learning and increased retention.

Study Material:Students will be provided with advanced study materials in form of e-books.

Hands-on Learning: Online and App-based hybrid learning: 42 hours of live instructor sessions + 42 hours online practice exercises + Weekly quizzes on app 

NIIT Digital is a Learner Experience Platform where a learner will have access to complete programme related information such as learner dashboard, learning schedule, self-paced learning content, Live sessions, assessments, faculty and learner engagement, batch group engagement, notifications, and other related delivery services as applicable to the course.

The platform facilitates ease of access through laptops and mobile devices for a rich experience. It can be accessed on the web through www.training.com.

At the end of this programme, the learner will be able to:

• Get hands-on with Python Programming
• Analyse data sets in Python
• Understand Machine Learning algorithms
• Create Machine Learning Models in Python
• Compare and Implement Machine Learning Models
• Visualize data in Python

Python Programming

• Getting started with Python
• Type Variables and Operators
• Strings, Lists, Dictionary
• Control Statements and Loops
• Functions and Scope of Variable
• Module and Package
• File Handling and Exceptions
• Collections
• Class and Objects

Data Exploration in Python

• Preparing the data
• Exploring the Data
• Classification Techniques
• Clustering Techniques
• Regular Dimensions
• Regression Methods
• Time series Techniques
• Visualization in Python

1 Graded Certificate

Only students successfully completing the program with a CWAP of >=50% will be awarded the Graded Certificate in “Python Programming and Data Exploration in Python"

2 Participation Certificate

Students who do not appear for the Appraisals or score a CWAP of < 50% will be issued only a Participation Certificate in “Python Programming and Data Exploration in Python”