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Towards Data Science
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3 Business Skills You Need to Progress Your Data Science Career in 2025
- To progress your data science career in 2025, you'll need more than just coding skills. As you progress, you'll need to communicate with stakeholders and understand finance to drive projects forward.
- You must speak the language of business to highlight how data science initiatives impact business areas, making your analysis more relevant to financial stakeholders.
- Keeping up to date with the latest tools, techniques, and trends of the AI/ML/Generative AI field will be essential for any sort of thought leadership.
- Understand how innovations are shaping industries and check compliance with relevant guidelines. Acknowledge the bigger picture around the tech field, especially as governments around the world focus on regulating AI.
- Stepping into a leadership position requires being firm yet polite, explaining what the team needs to do with stakeholders, and managing teams, data storytelling, and collaboration.
- The book collection for upskilling in finance includes books like the Alchemy of Finance, Value Investing, and One Up On Wall Street. Subscribe to weekly AI newsletters.
- Learn the different dynamics at play to communicate effectively and be more diplomatic and rational when responding to ideas or scope creep up in meetings.
- Lead stakeholder-facing meetings at work, volunteer for roundtable discussions, and fireside chats and back up your arguments with evidence from books, recent news, and reputed research papers.
- No one is better positioned than you to take the reins as a person with both tech and business skills.
- Understand the technology behind the black box models and align them with the business unit's objectives to grow and succeed.
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