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.

1. Unique Curriculum: The course is designed to make one proficient in data analytics in Python starting from the fundamentals and going onto application of Python which is one of the most widely used tools in the industry.

2. Extensive hands-on skills: The student will gain competence through hands-on learning in the latest technologies and tools, which are being widely used in the Data Analytics industry.

3. Online learning: Apart from the regular ILT classroom sessions, the students will have access to online learning and practice on Training.com and NIIT student app.

4. Expert Faculty: Faculty with experience of working in the Data Analytics industry will deliver the program. This will help the student understand the working environment and learn to apply concepts

Expert Faculty: Experienced faculty in 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: Apart from classroom hours, learners will be provided with dedicated machine room hours to practice their learnings 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”.

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

i. Getting hands-on with Python Programming

ii. Analyze data sets in Python

iii. Understand Machine Learning algorithms

iv. Create Machine Learning Models in Python

v. Compare and Implement Machine Learning Models

vi. Visualize data in Python