Data-Science Intermediate Premium

Data Science and Analytics Virtual Internship

This comprehensive virtual internship track will equip you with the essential skills and hands-on experience required for a successful career in data science and analytics. You will learn to leverage industry-leading tools and techniques to extract insights from complex data, build predictive models, and drive data-driven decision-making. Through real-world projects and case studies, you will develop a strong foundation in data manipulation, statistical analysis, machine learning, and data visualization, preparing you for in-demand data science roles.

weeks
12 tasks
0 enrolled
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Track price: $49.00

Track Overview

This track provides hands-on experience and real-world projects to build your skills.

Tasks & Milestones

Analyze Netflix Movie Recommendations with Python

Medium

Create a Python-based recommendation system similar to the one used by Netflix to suggest movies to users.

12 hours

Optimize Google Ads Campaigns with Python

Medium

Develop a Python-based tool to analyze and optimize Google Ads campaigns for a small business.

10 hours

Build an Amazon Product Recommender with Python

Medium

Create a Python-based product recommendation system for Amazon, similar to the one used on the Amazon website.

12 hours

Predictive Modeling for Netflix Recommendations

Medium

Create a machine learning model to predict user preferences and generate personalized movie recommendations for Netflix customers.

20 hours

Predictive Maintenance for Google's Data Centers

Advanced

Develop a predictive maintenance model to forecast equipment failures and optimize maintenance schedules for Google's data centers.

30 hours

Demand Forecasting for Amazon's Supply Chain

Advanced

Build a demand forecasting model to predict product sales and optimize inventory management for Amazon's supply chain.

25 hours

Personalized Movie Recommendations with Netflix

Medium

Create a machine learning model to provide personalized movie recommendations for Netflix users, similar to their real-world recommendation system.

20 hours

Predictive Maintenance with Google

Medium

Develop a machine learning model to predict equipment failures for Google's data centers, similar to their real-world predictive maintenance system.

20 hours

Product Recommendation System with Amazon

Medium

Develop a machine learning-based product recommendation system for Amazon, similar to their real-world recommendation engine.

20 hours

Personalized Movie Recommendation System

Medium

Create a professional movie recommendation system similar to what Netflix uses to provide personalized content to its users.

20 hours

Predictive Churn Analysis for E-commerce

Medium

Develop a predictive model to identify customers who are likely to churn for an e-commerce company, similar to what Amazon uses to retain its customers.

18 hours

Intelligent Product Recommendation System for E-commerce

Medium

Develop a sophisticated product recommendation system for an e-commerce platform, similar to the one used by Amazon to provide personalized product suggestions to its customers.

22 hours

Prerequisites

  • • Python programming
  • • Fundamental statistics
  • • Basic data manipulation

Certificate

Certificate of Completion

Earn a certificate upon successful completion