01 Điều gì khiến tôi mong muốn trở thành một nhà khoa học dữ liệu
Summary
TLDRThe speaker shares their passion for becoming a data scientist, driven by the challenge of solving complex problems and leveraging data to enhance business operations. They enjoy working with users to unlock the potential of data and uncover meaningful patterns that lead to valuable insights. The process of exploring and analyzing data is likened to solving puzzles, with the ultimate goal of understanding trends and making informed business decisions. The speaker also values collaborating with professionals from diverse fields, highlighting the interdisciplinary nature of data science and its growing significance in today's data-driven world.
Takeaways
- 😀 The speaker is passionate about becoming a data scientist and solving complex problems.
- 😀 They enjoy using data to help businesses predict outcomes and improve operations.
- 😀 The speaker finds it exciting to work with users to find ways to leverage data for business value.
- 😀 They are fascinated by the ability to make sense of data, even when it is visualized and formatted in different ways.
- 😀 Being a data scientist is compared to being an investigative journalist, constantly uncovering new insights from data.
- 😀 The speaker enjoys solving puzzles and answering questions to discover new knowledge about products and services.
- 😀 They liken working with data to solving a puzzle without a predefined answer, finding meaning in seemingly random data.
- 😀 Data can tell stories, and the speaker emphasizes the importance of listening to data to uncover real user trends and activities.
- 😀 The speaker enjoys collaborating with professionals from diverse fields like chemistry, biology, psychology, economics, and computer science.
- 😀 They believe that the exponential growth of data over the years makes now the perfect time to pursue a career in data science, a challenge they find exciting.
Q & A
What motivated the speaker to become a data scientist?
-The speaker was motivated by a desire to solve complex business problems and use data to predict future states and improve operations.
What does the speaker enjoy most about working with data?
-The speaker enjoys discovering patterns and insights in raw data, finding connections that help businesses make better decisions.
How does the speaker compare data science to investigative journalism?
-The speaker compares the process of analyzing data to investigative journalism because, like a reporter, a data scientist never knows exactly what they will uncover but is always engaged in the process of discovery.
Why does the speaker find working with data exciting?
-The excitement comes from solving puzzles and uncovering new knowledge from data, similar to working with unsolved riddles that reveal meaningful patterns as the investigation progresses.
What does the speaker mean by 'listening' to data?
-The speaker refers to analyzing data carefully and interpreting it to uncover the stories it tells about trends and user behaviors, rather than just relying on subjective opinions.
How does the speaker view the role of a data scientist in business?
-The speaker views the role of a data scientist as crucial in helping businesses solve problems, identify trends, and make data-driven decisions that drive improvement and growth.
Why does the speaker value collaborating with people from various fields?
-The speaker values this diversity because it allows for a richer pool of ideas, perspectives, and approaches to solving problems across different industries.
What kinds of fields does the speaker mention as being relevant to data science?
-The speaker mentions fields such as chemistry, biology, psychology, economics, finance, and computer science as being relevant to data science.
What does the speaker say about the growth of data in recent years?
-The speaker notes that data growth has increased exponentially in recent years, making it a critical time for pursuing a career in data science.
What challenge does the speaker find most exciting in data science?
-The speaker finds the challenge of uncovering new insights and solving business problems with data particularly exciting, especially as it involves continual learning and problem-solving.
Outlines
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