Machine LearningIn Collaboration With
Master data analytics with our Certificate in Predictive Analytics Using Python, your gateway to data-driven insights and building predictive models that solve real-world challenges. This course combines foundational learning, advanced machine learning techniques, and hands-on projects to equip you with job-ready skills.
*Paid internship will be as per organization's norms or on first come first serve basis.
Total Modules: 8
Gain insight into a topic and learn the fundamentals.
Duration
32 hours
Level: Beginner
No prior experience required
Internship
Be eligible for internship (paid/unpaid)
Fee: USD
500USD 400
Hurry! First batch intake closes on 30 Aug 2026 — only 5 internship spots left!
Skills you'll gain
Data Preprocessing
Prepare, clean, and transform data for machine learning applications.
Regression Techniques
Learn and apply various regression models for predictions.
Evaluation Methods
Evaluate models using cross-validation, bootstrapping, and performance metrics.
Classification Techniques
Classify data using logistic regression, decision trees, and SVM.
Unsupervised Clustering
Group data through k-means, hierarchical and DBSCAN techniques.
Dimensionality Reduction
Reduce features using PCA, SVD, and t-SNE methods.
Recommendation Analytics
Build association rules and create user-based recommendation systems.
Corporate Internships
After successful completion, be eligible for a scheduled paid internship.
Tools and Platforms covered
1. Exploratory Data analysis and Data Preparation
Master data preprocessing, transformation, scaling, and categorical conversions to prepare data for machine learning.
- Data pre processing
- Data Transformation, Data Reduction
- Data Wrangling and Manipulation for Machine Learning
- Feature Scaling
- Categorical Conversions
2. Introduction to Machine Learning and Regression Techniques
3. Evaluation Methods for Regression Techniques
4. Classification techniques
5. Evaluation Methods for Classification Techniques
6. Introduction to Unsupervised Machine Learning and Clustering Techniques
7. Feature Selection and Dimensionality Reduction
8. Association Rule and Recommender Systems
Earn and Share Your Certificate
Meet our top-ranked faculty
Pranab Das
Consultant Advisory-Transformation-BE, KPMG India
Kaushik Swaroop
Consultant Advisory-Transformation-BE, KPMG India
Amity Online Advantages: Why We're the Right Fit for You
Learn from Analytics Experts and Industry Veterans
Learn from experienced faculty and industry professionals who specialize in Predictive Analytics and Python programming. Our experts help you build strong analytical skills and knowledge that meet industry standards.
Real-World Case Studies and Data-Driven Projects
Gain hands-on experience with advanced ML techniques and business scenarios that reflect real-world challenges. This practical approach prepares you to make data-driven decisions in any business setting.
Flexible Learning for Busy Professionals
Study at your own pace with a flexible curriculum designed to fit around your schedule, making it ideal for working professionals looking to upskill.
Certification with Industry Recognition
Receive a certification in Predictive Analytics Using Python from Amity University Online, respected by employers across multiple sectors.
Frequently Asked Questions
What makes these certifications unique?
The "Predictive Analytics Using Python" certification is unique for its focus on practical Python applications in predictive analytics, providing hands-on experience with real-world data and industry-relevant tools.
Who is this program for?
What are the prerequisites for enrollment?
Total Modules: 8
Gain insight into a topic and learn the fundamentals.
Duration
32 hours
Level: Beginner
No prior experience required
Internship
Be eligible for internship (paid/unpaid)
Fee: USD
500USD 400