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From BCom to cracking Remote Job as Data Analyst | Non Tech to Data Analyst Preparation Strategy

Shivangi Tiwari

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From BCom to cracking Remote Job as Data Analyst | Non Tech to Data Analyst Preparation Strategy

105 253 просмотра · 1 год назад
Shivangi Tiwari
123 тыс. подписчиков
105 253 просмотра · 1 год назад
📌 Checkout Odin School here- https://hubs.la/Q02ZfTcC0 In today's video I have discussed in detail about how coming from a BCom(non tech ) background she cracked her job as a data analyst. She is right now working fully remote(work from home) and her journey is very interesting. This podcast will be helpful for you if you are aiming to be a data analyst or data scientist and you don't have a technical/professional background. Thank u so much for all the love you are showering on me🙏🏻Please do like, share and subscribe to my channel 🙇🏻‍♀️ My name is Shivangi Tiwari and I am a software engineer by profession. Hope my videos are helpful for you in getting your dream job. Keep watching my content and applying them in your life to achieve your goals. Feel free to comment me your queries, I will be glad to help you all Manya's LinkedIn:   / manya-tyagi-626a421b2   Manya's topmate: https://topmate.io/manya_tyagi 00:00 - 00:55 Recap 00:56 - 02:51 Introduction 02:52 - 03:25 Career options after BCom? 03:26 - 05:08 Which job did you do after BCom? 05:09 - 09:15 How was your sales job going? 09:16 - 10:45 How did you start preparing for analyst role? 10:46 - 11:30 How much time did you take to become job ready? 11:31 - 15:20 Are courses and certifications important? 12:21 - 15:29 Resources and preparation strategy? 15:30 - 24:03 How difficult it was to get your first job? 24:04 - 24:30 How did you get the opportunity to work with Ola? 24:31 - 25:03 What was your job role at Ola? 25:04 - 27:11 Reason to switch from Ola and join a remote job 27:12 - 29:09 Interview process for remote role 29:10 - 29:51 Platforms to look for remote jobs. 29:52 - 32:12 How much salary hike you got after all the job switches? 32:13 - 33:23 Advise for freshers 33:24 - 33:44 Conclusion #software #dataanalytics #data