Analista de datos Vs. Científico de datos | DIFERENCIAS

Summary

This video script explores the difference between a Data Analyst and a Data Scientist, highlighting the roles' increasing search volumes since the pandemic, particularly in business-developed regions like the US, Europe, and Asia. It outlines the main activities, where Data Analysts use existing tools to solve problems, and Data Scientists create new tools for complex data analysis and predictions. The script details the required skills, with Data Analysts needing database handling and data visualization, and Data Scientists requiring advanced programming, machine learning, and statistical skills. It also discusses the educational requirements, with Data Scientists often needing a master's degree or higher in a domain-specific area. Lastly, it mentions the average salaries, with Data Scientists earning more, reflecting their higher skill set and expertise.

Takeaways

• 📈 The search volume for 'data analyst' and 'data scientist' has significantly increased since the beginning of 2020, reflecting a global rise in data generation during the pandemic.
• 🌏 The terms are most searched in regions with strong business and corporate development, such as the USA, Europe, and Asia, with growing interest in some Latin American countries since 2021.
• 📊 The role of a data analyst involves using existing tools and methods to solve problems, while a data scientist seeks to invent new tools or models to collect new types of data.
• 🔍 Data analysts analyze collected data to aid decision-making, whereas data scientists delve deeper into complex data analysis for predictive purposes.
• 💼 Required skills for a data analyst include database management, spreadsheet proficiency, and data visualization, with the ability to design and present dashboards and reports.
• 🧠 Data scientists need advanced skills in databases, exploratory data analysis, advanced statistics, machine learning, and programming, exceeding the level of a data analyst.
• 🛠️ For data analysts, technical tools include SQL, Excel, Google Sheets, basic programming in Python and R, and visualization tools like Tableau and Power BI.
• 🔬 Data scientists require a more advanced understanding and handling of programming languages, particularly Python, as well as knowledge and control of natural language processing.
• 🎓 Data analysts are often required to have a bachelor's or master's degree, preferably in fields like finance, economics, mathematics, or statistics.
• 📚 Data scientists are typically required to have a bachelor's or master's degree in a domain of knowledge, with a master's degree often preferred, and some positions may require a Ph.D. or post-doctorate.
• 💰 The average salary for a data analyst in remote jobs is $72,000 per year, while for a data scientist, it is $110,000 per year, indicating higher pay for more advanced roles.
• 🔮 The data analyst role is a blend of domain expertise, usually business, with mathematics and statistics, while the data scientist role emerges from computational sciences combined with domain expertise.

Q & A

What is the main topic of the video script?

The main topic of the video script is to explain the differences between a Data Analyst and a Data Scientist.

What trend is observed in the search volumes for 'Data Analyst' and 'Data Scientist' over the last five years?

The search volumes for both 'Data Analyst' and 'Data Scientist' have increased considerably since the beginning of 2020, with a notable rise in relevance in some Latin American countries from around 2021.

Why did the interest in 'Data Analyst' and 'Data Scientist' roles increase since 2020?

The increase in interest since 2020 is attributed to the pandemic scenarios where a large amount of data and information was generated globally, necessitating professionals to analyze it.

Which regions have shown a significant increase in searches for 'Data Analyst' and 'Data Scientist' roles?

Regions with significant development in business and corporate sectors such as the USA, Europe, and Asia have shown increased searches. Additionally, some countries in Latin America have shown increased interest since around 2021.

What is the primary activity of a Data Analyst according to the script?

A Data Analyst primarily uses existing tools, methods, and data to solve problems.

What does a Data Scientist focus on in their role?

A Data Scientist focuses on inventing new tools or models to collect new types of data and analyze complex data for making predictions.

What are the minimum technical skills required for a Data Analyst?

A Data Analyst should have skills in database management, spreadsheets, data visualization, and be able to design and present dashboards or reports.

What advanced skills are required for a Data Scientist compared to a Data Analyst?

A Data Scientist must have advanced knowledge and skills in statistics, machine learning, and programming, including a higher level of proficiency in languages like Python and R, and knowledge of natural language processing.

What are the typical educational requirements for a Data Analyst?

Typically, a Data Analyst is required to have a bachelor's degree, sometimes a master's degree, in areas such as finance, economics, mathematics, or statistics.

What educational background is often sought after for a Data Scientist?

For a Data Scientist, a bachelor's degree in a relevant field such as finance, economics, physics, or statistics is often required, and in some cases, a master's degree or even a Ph.D. or post-doctorate is preferred.

What is the average salary for a Data Analyst and a Data Scientist according to the script?

The average salary for a Data Analyst in remote jobs is $72,000 per year, while for a Data Scientist, it is $110,000 per year.

How does the script describe the difference between the roles of a Data Analyst and a Data Scientist in terms of data handling?

The script describes a Data Analyst as someone who develops static models and performs historical data analysis, whereas a Data Scientist develops predictive models and specializes more in making predictions.

What is the script's final advice on choosing between being a Data Analyst or a Data Scientist?

The script suggests that the choice between becoming a Data Analyst or a Data Scientist should depend on one's skills, preferences, and interests.