Data Analytics
Course Curriculum and Job Profile
Three different learning paths to choose from, according to the target job profile:
Data Analyst Excel, PowerBI/Tableau, Data Visualization, Business Dashboards.
Data Engineer Intro to Python, SQL, Spark, Big Data Processing/Platforms, Cloud Deployments.
Data Scientist Intro to R or Python, Exploratory Data Analysis, Introduction to Statistics and Machine Learning.
We are always evolving and tailoring our curriculum according to the needs and technologies of the companies as well as the participants.
Datacamp online learning platform included with no fees.
Coaching and support
Personalized follow-up by recognized Industry Experts
Individual 1:1 sessions 30 min/week, mentoring, questions and answers based on the participant needs.
Group sessions 60 min/week, general guidelines, recommended resources.
Slack support On-line Q&A continuous support (target response time 24h)
Duration and Workload
4 weeks, ~4 hours/day online learning.
Data Analytics
Trainers Team| João Ramalho | Alain Jungo | Tomas Vanpottelbergh | Gael Grosh | Roberta Evangelista | Sasa Juratovic | Vafã Sarmast | Enrico Chavez |
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| Senior Data Scientist at Nestlé | Postdoc Researcher at University of Bern | Senior Data Scientist at Open Systems | Data Scientist at Unit8 | Data Scientist at BASE | Digital Innovations Offerings Lead at Avanade | Group Manager Data Engineering at Avanade | Senior Statistics Specialist at Nestlé |
| Track Manager | Python Trainer | Python Trainer | Python Trainer | Python Trainer | PowerBI Trainer | PowerBI Trainer | Statistics Trainer |