Top 5 MISTAKES Beginner Data Analysts Make (and HOW TO FIX THEM)

I’ll walk you through the 5 biggest mistakes I made in the beginning of my data analytics career and I’ll provide actionable tips on how you can avoid these mistakes and fix them immediately. I’ve mentored so many data aspirants and trust me, these 5 mistakes are very common - which means if you can fix them, it’ll definitely give you a competitive edge when trying to land your next analyst job.

┋Professional Certificates┋

┋Timestamps┋

00:00 Overview (5 Mistakes + 5 Tips to Fix Them)
00:47 Mistake 1 + How to Fix It
02:12 Mistake 2 + How to Fix It
04:32 Mistake 3 + How to Fix It
05:39 Mistake 4 + How to Fix It
06:09 Mistake 5 + How to Fix It

┋Contact┋

Thanks so much for taking a little time out of your day to watch this!

[karenaWarner]

Mo Chen’s YouTube channel has been incredibly helpful and informative.

By following Mo’s advice, I was able to achieve a promotion at work in my data analyst role. His suggestion to focus on Excel, SQL, and Power BI (for my role) was a game-changer. I practiced these skills daily, which not only boosted my confidence but also improved my expertise significantly.

I also learned how to use AI tools to assist with complex syntax, further enhancing my efficiency.

A big thank you to Mo for creating such valuable content and sharing it with the community!

[hotchipps]

I started my journey to become a Data Analyst 3 years back and I confess to have committed each of these mistakes mentioned and even more. I gave up on it with the excuse of being a person from a Non technical background. But I kept updating myself with current trends and latest updates.

Recently, I decided to give it another go and this time around will try to get into the muddy water instead of sitting ashore and watching the water slide past. I have started with MS Excel. Picked up a small personal project to avoid the initial overwhelm that comes along with huge data sets.

Will keep these mistakes in mind and make sure I don't repeat them. Will probably find new mistakes to do instead.

[shadabanwar]

Very informative and very helpful video for all the Beginners of Data Analysis. Thank you so much!! Mo Chen🎉🎉

[guacamoleunited]

Thanks Mo. Appreciate the referral to the Google Prompting course. Will check it out.

[nobodylovesme]

How about creating a video explaining how to present a business use case? For example, in the hiring process, candidates are often given a business problem and asked to create a presentation to solve or analyze it. One example could be focusing on a topic like ‘manufacturing excellence.’

[spider]

Please make a video on how to improve as a data analyst, and stay updated with tool and techniques.

[steliostsotras]

Thank you very much Mo Chen❤ You are my inspiration and with your help i have made a huge progress in SQL(my favourite since i was in my first job as electrician) and in Excel (also excited). Please help me how to overcome my fear NOT to succeed in my 2nd career because of my age... Who wants a 57 years old data analyst instead of a 35 years old for example? Thank you again for everything ❤️

[pragyajoshi]

Hey, I'm currently transitioning into data and facing these issues but this video really helped me

[ruxcooking]

Mistake number 3 I'm very familiar with.

[JustXplain]

Thank you Mo Chen❤ please can i still learn data analysis even if am not very good in math and statistics

[nayanreddy]

Hi sir
I am currently pursuing data analytics course but I always wanted to work with businesses closely and that's the reason I am inclining more towards business analyst profession.
Will my experience in data analytics profession help me or give me an edge while switching to business analyst or will it be a void?