Proud to be part of  years old Women's Education Institution
Python, a versatile and beginner-friendly programming language, is renowned for its simplicity, readability, and extensive libraries. Its strong community support, flexibility, scalability, and industry adoption make it ideal for various domains like web development, data science, machine learning, and automation. Learning Python equips individuals with valuable skills in high demand across industries, fostering creativity, innovation, and diverse career opportunities.
Upcoming Course Schedule
Start Date
Day Type
Mode
Schedule
6th May 2024
Weekdays
Online/Offline
3 Days a week
11th May 2024
Weekends
Online/Offline
Saturday & Sunday
27th May 2024
Weekdays
Online/Offline
3 Days a week
1st June 2024
Weekends
Online/Offline
Saturday & Sunday
24th June 2024
Weekdays
Online/Offline
3 Days a week
29th June 2024
Weekends
Online/Offline
Saturday & Sunday

Course Highlights

  • Focus on Data Science Libraries
  • Learn Libraries like Numpy, Pandas, Seaborn, Matplotlib, etc
  • Data Handling and Preprocessing
  • Statistical Analysis and Data Visualization
  • Industry-Relevant Skills
  • Hands-On Projects and Case Studies
  • Career Support and Networking

Top Skills You'll Learn

1
Python Programming Overview and Setup
2
Basic Syntax and Variable Types
3
Advanced Data Types in Python
4
Functions and Modules in Python
5
Object-Oriented Programming (OOP)
6
Exception Handling in Python
7
Data Manipulation and Analysis using Numpy and Pandas
8
Case Study and Project Work
9
File handling operations
10
Data Visualization with Matplotlib and Seaborn
Accredited Training Partners

Eligibility Criteria

ait-eligibility-criteria
  • Any 10th pass student, Diploma holder, Graduate, Final Year Appearing students, Working Professionals who want pursue a career in Data Science
  • Graduate / Post Graduates, Industry Professionals, those who want to reshape their IT Career
  • The candidate with a bachelor’s degree in any discipline including Engineering, Science, Commerce, Medicine, Agriculture, Pharma, Mass Media, or any other branch of education
  • Candidate with professional qualification like CA, ICWA, CS is also eligible for this course
  • Candidates appearing for the final year bachelor’s degree/equivalent qualification examination
  • Those who have completed the degree requirement and are awaiting results can also apply

Insights from Students

The part time PGP is a very comprehensive course.Suitable to persons from all age groups.Faculty is a good combination of academicians and experts from industry.The course is helpful for getting knowledge as well as placement.

Ketaki Kher

The teaching at MKSSS AIT is very organized and the trainers are experienced people from industry... really useful for the current work I am doing. At the same time the teachers from AIT give enough lab time to try our hands at.. enjoying learning here!!!

Meenakshi Kulkarni

Glad to participate in the weekend PGP course. Knowledgeable and helpful faculty. Course content is comprehensive, and attention is given on an individual basis

Saloni Malwade
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AIT's Remarkable Placements

The Academy of Information Technology (AIT) is a leading force in Data Science, Machine Learning, and Artificial Intelligence, evident in its remarkable placement record. AIT's curriculum stays current with industry trends, ensuring graduates are well-prepared and at the forefront of advancements in data science, machine learning, and AI.

AIT is the best place for people who want to succeed in data science and artificial intelligence. With our focus on excellence, extensive industry relationships, and innovative teaching approach, we pave the way for your achievements.
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AIT's Competent Instructors

At AIT, our teachers are experts in Data Science, Machine Learning, and AI. They're chosen for their top qualifications and real-world experience. This means students get a great education mixing theory with practical skills.

Meet our accomplished faculty and discover how their passion and knowledge empower the next generation of professionals in data science and AI.

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