Data-Science Advanced Premium

Time Series Forecasting and Predictive Analytics Virtual Internship

In this virtual internship, students will develop expertise in time series analysis and forecasting techniques, including the application of machine learning models to predict future trends and make data-driven decisions. Through a series of hands-on projects, students will learn to preprocess and analyze time series data, build and evaluate forecasting models, and communicate their findings to stakeholders. Upon completion, students will be equipped with the skills to pursue careers in data science, business analytics, and predictive modeling.

weeks
7 tasks
0 enrolled
Sign In to Purchase - $49
Track price: $49.00

Track Overview

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

Tasks & Milestones

Exploratory Data Analysis of Time Series

Advanced

In this task, students will perform exploratory data analysis on a given time series dataset, identifying patterns, trends, and seasonality.

8 hours

Implementing Basic Forecasting Techniques

Advanced

In this task, students will apply basic time series forecasting techniques, such as moving averages and exponential smoothing, to make predictions on a given dataset.

12 hours

Regression-based Time Series Forecasting

Advanced

In this task, students will implement and evaluate regression-based time series forecasting models, such as linear regression and polynomial regression.

16 hours

Decision Tree-based Time Series Forecasting

Advanced

In this task, students will apply decision tree-based models, such as random forests, for time series forecasting and evaluate their performance.

16 hours

Implementing RNN and LSTM for Time Series Forecasting

Advanced

In this task, students will develop RNN and LSTM models for time series forecasting and evaluate their performance on a real-world dataset.

20 hours

Optimizing Deep Learning Models for Time Series Forecasting

Advanced

In this task, students will explore techniques for optimizing deep learning models for time series forecasting, such as hyperparameter tuning and feature engineering.

20 hours

Capstone Project: Time Series Forecasting

Advanced

In this capstone project, students will apply their knowledge of time series forecasting to a real-world problem, demonstrating their ability to analyze data, build and evaluate forecasting models, and communicate their findings.

40 hours

Prerequisites

  • • Proficiency in Python programming
  • • Familiarity with data manipulation and analysis using libraries like Pandas
  • • Basic understanding of machine learning concepts

Certificate

Certificate of Completion

Earn a certificate upon successful completion