ฝัง
- เผยแพร่เมื่อ 24 มิ.ย. 2024
- What can you do to get ahead of 99% of data analysts? As an experience data analyst in tech, I outline the steps and data analyst skills I've learned that makes the 1% stand out and how you can start implementing them today to make yourself stand out in the crowd as a beginner data analyst looking for a job.
📚 Resources
Excel: imp.i384100.net/jr6oAP
SQL (I've personally used DataCamp to learn SQL): datacamp.pxf.io/PynDkY
Tableau: imp.i384100.net/xkoGb5
Python: imp.i384100.net/Gmdz5m
Google Data Analytics Certificate: imp.i384100.net/9gqYQy
Interview Query (similar questions to the ones I’ve seen in my interviews): shorturl.at/lyLNT
🖥️ My Desk Setup
Keyboard: amzn.to/3Sny1fw
Mouse: amzn.to/47aYpgM
Cable Management: amzn.to/47hQz5b
Dell Dock: amzn.to/3tNVahv
🙆🏻♀️ Connect
📫 Newsletter w/ Free Resume Template: agathakang.com/subscribe
📸 Instagram: / agathaakang
🎥 TikTok: / agathaakang
Business inquiries: info@agathakang.com
📄 ABOUT ME:
My mission is to help you grow your career, especially in the world of data analysis. Switching careers to become a data analyst from a non-tech background was overwhelming. I made a lot of mistakes and wasted time trying to figure it out. But having been a manager of data analytics and now a senior business intelligence engineer in tech (FAANG), I've learned a lot and I'm excited to use my experiences to help you navigate your career path. I hope this channel gives you the clarity and motivation to get started!
⌚️Timestamps
00:00 - Intro
02:17 - Step 1
04:33 - Step 2
07:05 - Step 3
09:26 - Step 4
10:12 - Step 5
11:19 - Outro
Content is for educational and entertainment purposes only. Some links are affiliate links that support the channel at no cost to you. As an Amazon Associate I earn from qualifying purchases. Thanks for your support!
Thanks so much for the thoughtful comments! Feel free to connect with me on 📷instagram: instagram.com/agathaakang/ and through my 📬newsletter: agathakang.com/subscribe (free resume template in link)
As a former senior business analyst at a Fortune 100 software firm, this methodology is very practical. Especially in a waterfall methodology. This approach is a great aid to understand larger scope for scalability. Great video and fantastic points!
You’re welcome!! Glad the video helps!
I graduated with a degree in philosophy, and although I was captivated by the multi-faceted view of reality that this experience gave me, I felt a lack of agency and sought something to compensate for this deficiency. Then I became interested in Data Analytics. I obtained a Google data analyst certificate on Coursera, but I feel that it's not enough to start a job. BTW The French philosopher Henri Bergson (who, incidentally, corresponded with Einstein) argued that reality is very rich and that essentially all scientific disciplines, as well as other forms of knowledge, show only a fragment of reality and that people have a natural tendency to simplify and favor the perspective closest to them. I thought it was funny because I felt that I sensed these nuances in your film, especially when u were refering to the reports and dashboards trap. I really enjoyed the content.
Absolutely amazing video!
Thanks so much!
The information is enlightening. As a junior data analyst job seeker, I gained valuable insights that I look forward to applying during my journey in the data analytics career. Your career coaching style is also very profound and influential.
Yes after years in my data career these are definitely the things I’ve learned will make you stand out. Glad the video and coaching style helped!
Well done this really help
great video. Thanks!
You're welcome!
great video agatha! great soundsystem as well.
Thank you ❤️ yes I fixed the sound 😅
Thanking you for creating such informative video.
I am thinking of switching from a qa background but extremely nervous. Your videos are amazing your insights and story is definitely inspiring
Try starting with the roadmap here: th-cam.com/video/dJA7k58zlA8/w-d-xo.html small steps will get you started. And thank you for watching!
As i leading data analyst i can say that:
- Do not waste your time to watch tutorials
- Work on your own portfolio and do not hesitate to start building it asap
- Agatha's notes all true (Sometimes it is really hard to find what the stakeholders actually want)
- Learn how to learn properly for not facing complexity specially when you learn statistics.
and etc.
And when you finish you career as a data analyst switch into data engineering. As it is more interesting for most data analysts rather than writing SQL queries and creating dashboards.
Agreed, watching tutorials only does so much and the portfolio and hands on skills is what will get your career started!
@@agathakang Exactly!!
Excellent video! You run such a good Chanel
Thank you so much!! So glad the videos are helpful!
This was really valuable! I feel better because I think I am better at the listening, understanding, and problem solving part of the job. I thought this would be a video about becoming the best at the technical skills and I'm glad it wasn't.
You're welcome! Yes I feel like everyone stresses the technical skills first which will get your foot in the door but afterwards its all your soft skills that will get you that promotion and further your career. Glad this was helpful!
I really like you and i enjoy a lot about the items you shared and i'm in a process to be a data analyst, i hope i can comunicate with you to grow faster, thanks!
Hey Agatha! Thanks for the vid. Any tips about improving the analyst communication skills?
Thank you! It really helps if you think about who your audience is when improving communication. I came across this helpful article: decoded.medium.com/10-steps-to-improve-your-data-communication-and-1-toavoid-d32a1020395 and would also recommend the book storytelling with data to understand how to communicate with data
Thank you so much!
Glad it helped!
Data entry operator easily works responsibilities for HR:
• Personnel file process involves entering data into various databases using Excel, and then updating it regularly.
• Maintained records on a daily basis delivery shipping GPO # 405 job application to the HR department
• Prepare and organize your HR tags and flag labels with the office file document
• Document scanning data system HR letters such as employee code, employee name, position, and project
• Prepare for maintaining employee HR personnel files checklist documents such as arranging, typing, updating, sorting, verifying data, sending and receiving emails in Outlook, etc.
• Maintained records of HR policies and procedures checked for activities & tasks
• Saving file data backups for information for computer user
• Respond to queries for information and access relevant files
• Good communication and written English
This is one of the best tips on how to stand out to be the best data analyst I have seen on TH-cam. Thank you so much Agatha, this has given me the confidence that I can be the best data analysts once I embrace this tips with more practice.
I really admire your knowledge, may I ask if you would like to be my mentor? I am a data analytics newbies, just completed my 7 courses and presently writing course 8 capstone project to create my portfolio as my last course with Google.
I'm glad these tips were helpful! It sounds like you're a newbie but you've been really focusing on learning and doing the right things getting started on projects 👏 I don't have the capacity right now to take on any mentees but I do offer coaching sessions in the description above.
Hello Agatha, and thank you for your response. I'll have a look at your coaching sessions. once again, thank you
basically, use business analysis with data analysis to be part of the 1%
Yes business skills will definitely elevate the data analysis skills
"Obsessed with customer..." that's Amazon.
Btw, what's the avg % you spend on cleaning data/data quality?
One of the best vid about DA so far in 2024. Thanks.
haha yes that's definitely the Amazon culture. I would say about 10% of my job is on data cleaning as most of the data is streamlined where I work but you will still find data quality issues here and there. Working with big data, I spend more time on data aggregation and exploration. Glad the video helped!!
Step 2 and its mistake lesson. Thank you.
Thinking big is a challenging one and one that I am still working on too!
♥️♥️♥️
Thank you!!
❤
Thank you!
So much of “how to be a good data analyst” is just “how to think like an autistic person.” Every day I’m shocked that this isn’t how everyone’s brain works. 😂
Step 1: dont become a data analyst
Why?
"The starting point of all achievement is desire." --Napoleon Hill
Agreed! It all starts with how much do we want it