Through this lecture, students are expected to be able to check actual materials such as big data contests and self-introduction essays and determine the direction of their studies and job preparation.
Reviews from Early Learners
5.0
Jungyun Lee
I am a student who started preparing for employment because I thought that big data-related businesses will continue to grow significantly in the future. I was at a loss as to where to start studying when I was introduced to this lecture, and it was so helpful. Thank you, instructor!!!!!! You will be blessed.
5.0
ecboys
Hello, I am a student working in a different field. This time, I am trying to enter the field of big data. Unlike other lectures, the lecture content is really helpful because it explains things based on real experiences :) Thank you for the great lecture!!
5.0
mhkwon84
I came across this on YouTube. I think the killing point of this lecture is that you can see actual data used for job hunting. Since you go through the data in the video, I can watch it on my way to and from work. I wish there was a separate story about after getting a job.
Big Data Contest Presentation Materials
Big data field document passing resume
How to study big data
How to prepare for a job in big data
We will be your guide for finding a job in big data .
In these days when big data is required everywhere, it is difficult for non-majors to know where to start.
Trying to set a direction and figure out a direction is never easy.
✅ Actual materials from contests and resumes used for job search
✅ This is my experience studying data for 2-3 years as a non-major.
✅We also included tips on how to get a job as a big data expert at S Telecom, a major domestic telecommunications company.
This lecture is for non-majors who are still unfamiliar with big data .
Please take this course with the mindset of listening to your friend's job search story and sharing materials that were used for job search!
You can see experiences and actual materials about finding studies and participating in competitions.
What work is needed in the field.
You can find out what kind of resume is needed for employment.
We will look for good resume content with stories about various support fields and examples of resumes that have passed various companies. We will also share our experiences with direct interviews and internships.
Who is this course right for?
For those who are curious about the actual data for the Big Data Contest and resume
Non-majors but interested in big data
For those who want to study big data and machine learning
Anyone considering a job as an analyst
174
Learners
17
Reviews
4.8
Rating
1
Course
Hello. I am sharing my story of how I, as a non-major, landed a job in the field of big data.
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15 lectures ∙ (1hr 24min)
All
17 reviews
4.8
17 reviews
Reviews 1
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Average Rating 5.0
5
I am a student who started preparing for employment because I thought that big data-related businesses will continue to grow significantly in the future. I was at a loss as to where to start studying when I was introduced to this lecture, and it was so helpful. Thank you, instructor!!!!!! You will be blessed.
I'm glad it was helpful! If you have any further questions while preparing, please leave them on the Q&A board :)
Reviews 1
∙
Average Rating 5.0
5
Hello, I am a student working in a different field. This time, I am trying to enter the field of big data. Unlike other lectures, the lecture content is really helpful because it explains things based on real experiences :) Thank you for the great lecture!!
Yes, thank you. If you have any questions while preparing, please leave them on the Q&A board~!
Reviews 1
∙
Average Rating 5.0
5
Jenny Moon's videos seem to be really aimed at beginners... I think the price is worth it for the amount and quality of the materials!!! Thank you.
Yes, thank you
Reviews 1
∙
Average Rating 5.0
Reviews 1
∙
Average Rating 5.0
5
I came across this on YouTube. I think the killing point of this lecture is that you can see actual data used for job hunting. Since you go through the data in the video, I can watch it on my way to and from work. I wish there was a separate story about after getting a job.
I will carefully consider the following story as a lecture. Thank you!
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