Predictive Analytics Virtual Internship
In this 12-week virtual internship, students will learn to develop and deploy predictive models using machine learning techniques to forecast trends and make data-driven decisions. They will gain hands-on experience in data preprocessing, feature engineering, model selection, and model deployment, working with real-world datasets and industry-standard tools. By the end of the internship, students will have a portfolio of projects demonstrating their ability to leverage predictive analytics for business insights and strategic decision-making.
Track Overview
Tasks & Milestones
Data Cleaning and Transformation
IntermediateIn this task, students will clean and transform a real-world dataset, handling missing values and encoding categorical variables.
Exploratory Data Analysis
IntermediateIn this task, students will perform exploratory data analysis to gain insights into the dataset and identify potential predictors.
Regression Model Development
IntermediateIn this task, students will develop a regression model to predict a continuous target variable.
Classification Model Development
IntermediateIn this task, students will develop a classification model to predict a categorical target variable.
Model Packaging and Deployment
IntermediateIn this task, students will package their predictive models for deployment and integrate them into a simulated production environment.
Model Monitoring and Governance
IntermediateIn this task, students will implement monitoring and logging mechanisms to track the performance of their deployed predictive models.
Capstone Project
IntermediateIn this task, students will apply their skills in predictive analytics to solve a real-world problem.
Prerequisites
- • Proficiency in Python programming
- • Familiarity with data manipulation and analysis libraries (e.g., NumPy, Pandas)
Certificate
Certificate of Completion
Earn a certificate upon successful completion