Learn to clearly define business issues, prepare and clean data, and implement a variety of predictive modeling techniques.
Overview
Syllabus
- Welcome to the program
- Problem Solving with Analytics
- The course begins with an introduction to analytical frameworks, helping learners structure their data analysis approach. It then dives into linear regression, providing hands-on experience in building, interpreting, and refining models to uncover meaningful insights from data. By the end, students will be equipped with practical skills to apply analytical thinking and statistical modeling to real-world scenarios.
- Data Wrangling
- Classification Models
- A/B Testing
- Time Series Forecasting
- Time series forecasting is a powerful analytical tool. In this course, learners will find our how ETS and ARIMA models are used
to forecast data and how they deal with trends and seasonality. - Segmentation and Clustering
- SQL Lessons
- Data Visualization with Tableau
- Learn to apply sound design and data visualization principles to the data analysis process. Learn how to use analysis and visualizations in Tableau to tell a story with data.
- Career Support
- LinkedIn is widely used by tech recruiters to find and evaluate job candidates. It's also where you can meet interesting people in your field. Get personalized feedback on how to improve your profile! (You may elect to opt out of this project.)
Taught by
Patrick Nussbaumer, Ben Burkholder, Maureen Wolfson, Rod Light and Tony Moses
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Reviews
5.0 rating, based on 1 Class Central review
4.7 rating at Udacity based on 291 ratings
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I am really enjoying the Nanodegree. It feels good to be able to complete a relevant project and to learn new skills alongside. I enjoyed doing the work myself. I could relate to doing the same in a paid employment. It increased my confidence level in the skill. Thanks
