OBJECTIVES
OBJECTIVE 01
IMPROVE DECISION MAKING
Data upskilling is the backbone of a successful digital transformation.
Improve the analysis of data and emerging concepts for your application in decision making.
OBJECTIVE 02
DEVELOP DATA STRATEGIES
Developing objectives and communicating strategies based on data is essential today for senior leaders and stakeholders. Learning how to scale your data program and ensure the success of your digital transformation initiatives is key to keeping up with the market and consumers.
OBJECTIVE 03
STORYTELLING
Digital transformation is inescapable, but the key differentiators are not based on technology, but on your data-driven culture. Learn to develop communication techniques so that non-technical teams can link, understand and interpret data analysis teams.
ObjectiveS
Directors of the main digital companies in the region will be the ones who will teach you and share the main experiences, learnings and success stories. Working on real cases to better understand the topics learned as a team.
Objective:
Understand why companies need data to stay competitive and the tangible benefits of incorporating data into our daily work.
Topics:
- Data Strategy
- Statistics
- Data Driven Decision Making Models
- R & Python (introductory)
Objective:
Learn to organize and interpret data to avoid drawing incorrect conclusions from our data sets.
Topics:
- Data Visualization
- Dashboards: Tableau, Power BI
- Google Analytics 4
- Data Reporting
Objective:
Understand data risks and responsibilities and the importance of avoiding data silos.
Topics:
- Data Mining, Cleaning, Tagging
- Data Privacy
- Data Security
Objective:
Create and leverage data to drive actionable insights and then communicate that information to the rest of our team and organization.
Topics:
- Data Modeling
- Hypothesis Design
- MVPs
- Data Storytelling
