Competencias Fundamentales Para Dominar el Mundo de los Datos

The exponential growth of data in the workplace has required professionals from different sectors to acquire essential skills to stay relevant and competitive. Renzo Roca, experienced Data Strategist and teacher of renowned courses, shares the core competencies that drive a successful career in the technology and data world.

What technical skills are essential in data analytics?

To perform effectively in the industry, it is crucial to master certain key tools:

• Python and R: Python stands out as a preferred language due to its large open source community and widespread application in enterprises. Among its advantages are its versatility and ease of use with multiple libraries for analysis, data processing and artificial intelligence.
• SQL (Structured Query Language): represents the essential basis for extracting and working with large volumes of data. The variations of the language depend on the technology used by the organization, such as Microsoft's SQL Server, Oracle SQL, among others.
• Visualization tools: Power BI revolutionized analysis by democratizing access to business insights for non-technical users. Tableau, another fundamental tool, offers tight integration with Salesforce and high visualization power.
• Generative Artificial Intelligence: tools such as ChatGPT and Copilot significantly accelerate learning and project development.

What soft skills complement the profile of a data professional?

Technical competencies must be complemented with soft skills to ensure continuous professional growth:

• Critical thinking: essential for questioning results, identifying flaws and adjusting models based on the business context.
• Effective communication: dictates the clarity with which professionals can share their findings with different business audiences, directly impacting their influence on strategic decisions.
• Problem solving: ability to quickly identify causes of problems and propose scalable solutions adapted to the business context.
• Teamwork: ability and willingness to collaborate in multidisciplinary teams contributing to mutual learning and effective joint results.

How to stand out and increase your professional visibility in data?

Increasing your visibility and consolidating your professional presence includes:

• Networking: using tools such as LinkedIn to connect with industry leaders, share community contributions and take advantage of job opportunities that emerge through the platform.
• Methodologies and continuing education: periodically attend related events or conferences to stay current and connected with emerging trends in the data field.

Actively participate in professional digital communities, such as the Platzi community, to exchange experiences and knowledge, generating an effective professional support network.

These technical competencies and personal skills articulated with proactive networking greatly expand your chances of success in the competitive world of data.

Do you feel ready to take the next step in your professional development in data? Share with us your experience or doubts about how to advance in this exciting field!