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Top 3 non-technical skills for data analysts

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Manage episode 346071694 series 3397659
Inhalt bereitgestellt von Fmi.online. Alle Podcast-Inhalte, einschließlich Episoden, Grafiken und Podcast-Beschreibungen, werden direkt von Fmi.online oder seinem Podcast-Plattformpartner hochgeladen und bereitgestellt. Wenn Sie glauben, dass jemand Ihr urheberrechtlich geschütztes Werk ohne Ihre Erlaubnis nutzt, können Sie dem hier beschriebenen Verfahren folgen https://de.player.fm/legal.

Data Science is a jargon-heavy profession, thus it's important to fully comprehend the concept before attempting to communicate it to a non-DS audience. Thus, communication is more than simply face-to-face interaction; it also includes writing eloquently and confidently presenting technical concepts to peers, coworkers, and superiors.
But without a doubt, there are plenty of skills that are extremely essential for any Data Analyst and they aren’t just restricted to technical skills. There is more to it, non-technical skills are equally important if not more.
Here is where we introduce our guest speaker of our 29th episode of "3 For Thursday”, Sejal Vora. Words are not enough to describe her accomplishments. She is a CFA, has an MS in Finance and has worked in companies like Morgan Stanley and The Royal Bank of Scotland. Currently, she leverages her skills in her field of expertise and provides training to aspirants who are dreaming big in the field of Data. Wait that is not it, Sejal is the only published author in India who has written a book in the field of Data Science and Storytelling (The Power of Data Storytelling). And if these are not enough, Sejal is also a TedX speaker and was named in the TIMES 40 under 40.
🚀 In her interview with Niti Jain, Director at Fmi, she discusses about how data is more than just number crunching. She talks about how the subject’s knowledge should be used, how important it is to derive insights from the data, how to effectively communicate the insights and a lot more.
Here is our special, “Top 3 Non-Technical Skills For Data Analysts”
🎙️You can listen to our podcast on Apple Podcast, Spotify, All other major streaming platform, and on our official website. Do not forget to like, subscribe, and share our "3 for Thursday" global podcast

  continue reading

116 Episoden

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iconTeilen
 
Manage episode 346071694 series 3397659
Inhalt bereitgestellt von Fmi.online. Alle Podcast-Inhalte, einschließlich Episoden, Grafiken und Podcast-Beschreibungen, werden direkt von Fmi.online oder seinem Podcast-Plattformpartner hochgeladen und bereitgestellt. Wenn Sie glauben, dass jemand Ihr urheberrechtlich geschütztes Werk ohne Ihre Erlaubnis nutzt, können Sie dem hier beschriebenen Verfahren folgen https://de.player.fm/legal.

Data Science is a jargon-heavy profession, thus it's important to fully comprehend the concept before attempting to communicate it to a non-DS audience. Thus, communication is more than simply face-to-face interaction; it also includes writing eloquently and confidently presenting technical concepts to peers, coworkers, and superiors.
But without a doubt, there are plenty of skills that are extremely essential for any Data Analyst and they aren’t just restricted to technical skills. There is more to it, non-technical skills are equally important if not more.
Here is where we introduce our guest speaker of our 29th episode of "3 For Thursday”, Sejal Vora. Words are not enough to describe her accomplishments. She is a CFA, has an MS in Finance and has worked in companies like Morgan Stanley and The Royal Bank of Scotland. Currently, she leverages her skills in her field of expertise and provides training to aspirants who are dreaming big in the field of Data. Wait that is not it, Sejal is the only published author in India who has written a book in the field of Data Science and Storytelling (The Power of Data Storytelling). And if these are not enough, Sejal is also a TedX speaker and was named in the TIMES 40 under 40.
🚀 In her interview with Niti Jain, Director at Fmi, she discusses about how data is more than just number crunching. She talks about how the subject’s knowledge should be used, how important it is to derive insights from the data, how to effectively communicate the insights and a lot more.
Here is our special, “Top 3 Non-Technical Skills For Data Analysts”
🎙️You can listen to our podcast on Apple Podcast, Spotify, All other major streaming platform, and on our official website. Do not forget to like, subscribe, and share our "3 for Thursday" global podcast

  continue reading

116 Episoden

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