Applied Data Science Camp - Graduate 2020

Issued by Ericsson

In partnership with Combient Mix and Ericsson Global Technology and Learning and Development, participants completed 100+ hours of intense study, individually and in project teams, including producing a solution to an Ericsson-defined use case, completing self-studies and assignments, and attending multiple days of instructor-facilitated sessions.

Type Learning
Level Intermediate
Time Weeks
Cost Paid

Skills

A/B Testing
Anomaly Detection
Applying Data Science
Clustering
Dimensionality Reduction
Generalized Linear Regression
Jupyter Notebooks
K-Nearest Neighbors
Logistic Regression
Machine Learning
Pandas
Python
Random Forest
Shallow Neural Networks
Supervised Learning
Unsupervised Learning

Earning Criteria

Attend a 3-day live kickoff, complete 5 weeks of self-directed coursework including self-study, attending weekly one-hour lectures and participating in two-hour mentoring sessions
In a project team, guided by Ericsson and Combient mentors, apply data science process and machine learning models to address an actual Ericsson use case over a four-week period. Present the results of the project as a final 30-minute presentation to all participants, their managers, mentors, global AI team, and learning organization