Practical Time Series Analysis: Forecasting for Real-World Data
Gain the skills to analyze data trends and create impactful forecasts through this advanced time series analytics project.
Aiswarya Swetha Jonnalagadda
DREAM Venture Labs
Mondays, 6:00 P.M. ET / 3:00 P.M. PT
8 weeks, 2-3 hours per weekDescription
In this Build Project, you will learn to tackle the challenge of Time Series data and forecasting.
This project will immerse you in the dynamic world of temporal data, where you'll learn to identify patterns, trends, and seasonal variations using real-world datasets. Your mission is to apply advanced modeling techniques to make accurate predictions and informed decisions.
You will explore advanced modeling techniques such as ARIMA, SARIMA, and SARIMAX and gain practical experience with time series data, applying these methods effectively. Additionally, you will engage in delivering a comprehensive time series data analysis presentation.
Application timeline
What you will learn
- By the end of the project, students will be able to:Efficiently address missing values, outliers, and noise to ensure data integrity.
- Detect and analyze anomalies and trends for proactive decision-making.
- Skillfully implement and optimize forecasting models like ARIMA, SARIMA, and SARIMAX.
- Assess model accuracy using metrics such as MAE, RMSE, and MAPE for reliable validation.
Project workshops
Prerequisites
- Proficiency in Python programming and libraries such as pandas, NumPy, and Scikit-learn for data manipulation and analysis.
- Skills in using data visualization tools such as matplotlib and seaborn to create insightful visual representations of data.
- Familiarity with basic statistical concepts such as mean, median, mode, and quartiles.
- Basic knowledge of machine learning models, including supervised and unsupervised learning, and understanding of training and testing concepts.
- Strong oral and written communication skills, with a willingness to discuss and share ideas with others.
Apply Now!
Ready to start this exciting project? Submit your application today and begin your journey with Build!
About the Fellow
Aiswarya Swetha Jonnalagadda
DREAM Venture LabsAiswarya Swetha Jonnalagadda is a Data Science Build Fellow at Dream Venture Labs, where she works with students leading projects in Data Science. Aiswarya Swetha is a Data Scientist at Rhombus Power where she focuses on Building scalable data pipelines, Perform modeling and deployment for customer problems statements. Aiswarya Swetha has over 4.5 years of experience in the Data science and engineering field. I started my career as a software engineer and pursued masters in Data Science. I worked as a Data science coop at Genentech, followed by big data engineer at Amazon and currently working as Data scientist at Rhombus Power. She holds a Masters in Data science and engineering and Bachelors in Computer Science. A fun fact about Aiswarya Swetha is that if not data scientist I could have been good nutritionist or dermatologist.