Course Highlights
- Gain expertise in business statistical data analytics.
- Train in data science processes, including data wrangling, exploration, and visualization using R, Excel, and Python.
- Understand database management and manipulation techniques.
- Learn the applications of Machine Learning in Finance and Marketing Management.
- Master visualization tools like Tableau and PowerBI.
- Excel in Big Data Analytics and advanced Machine Learning algorithms.
Top Skills You'll Learn
- Statistical techniques for Data Science.
- R programming for data science exclusively Hands-on sessions.
- Business analytics using MS EXCEL.
- Data analysis using python.
- Database Management System - SQL for Data Science
- Descriptive Analytics and Data Visualization
- Python for Data Science
- Predictive Analytics - Using R and Python
- Time Series Forecasting - Using Python
- Advanced Predictive Analytics
- Text Mining and Sentiment Analysis
- Deep Learning and Computer Vision
- 1-Domain-Specific Training from Electives
- Capstone Project
Key Features
- Limited batch size
- Live Interactive Sessions by Industry Experts
- Master fundamentals with hands-on labs, aligning with current Data Science trends
- Access to Study Material and Recorded Sessions
- Competitive assessment sessions for better evaluation
- Capstone Projects to apply skills on Real World Scenarios
- Soft Skills and Business Communication
- Mock Interviews
- Placement Assistance
- Resume Building, Git, and GitHub Training
- Receive a certification from MKSSS-AIT upon successful completion
- Corporate collaborations
- Collaboration with KPMG for Domain-Specific Certification
- Hostel Facility available
- Loan Facility Available
Eligibility Criteria
- Any 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 KherThe 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 KulkarniGlad 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
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.
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.