Course Highlights
- Practical Application: Real-world scenarios, hands-on projects.
- Cutting-edge Techniques: Advanced predictive modeling using various Machine Learning Algorithms, and data analytics tools.
- Strategic Alignment: HR initiatives align with organizational objectives.
- Ethical Framework: Responsible data usage, ethical considerations.
Top Skills You'll Learn
- Introduction to HR Analytics Using Python and Machine Learning
- Basics of Python for Data Science
- Installation of Python
- Getting Started with Python Data Types
- Data Manipulation Using - Pandas, Numpy
- Data Visualization Using - Matplotlib, Seaborn
- Data Cleansing and Data Preparation
- Handling Missing Values
- Treatment of Outliers
- Collecting Data for People Factors for Analysis
- Extraction of web data using Beautifulsoup Package
- Analytics of data
- Business Statistics for HR
- Inferential and Descriptive Statistics
- Case study on HR data using business statistics
- Prediction of Employee Turnover using Regression
- Predict employee salary using linear regression and multiple regression models
- Prediction of attrition factors using predictive analytics
- Using classification models such as logistic regression, decision trees for predictive analytics of attrition factors
- Case study to predict job acceptance of a candidate
- Case study of prediction of employee promotion using classification techniques
- Prediction of business costing using Time series analysis
- Introduction to time series forecasting
- Prediction of business expenses using time series analysis
Eligibility Criteria
- 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 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.