![[백문이불여일타] 데이터 분석을 위한 기초 SQL강의 썸네일](https://cdn.inflearn.com/public/courses/324566/cover/aa1fac55-6e80-4506-9c92-f32c2b65f93a/sql_basic.png?w=420)
[백문이불여일타] 데이터 분석을 위한 기초 SQL
데이터리안
인프런 누적 수강생 10,000명 이상, 풍부한 온/오프라인 강의 경험을 가진 데이터리안의 SQL 기초 강의. SQL 기초 이론을 배우고, 해커랭크 문제 10개를 함께 풀어봅니다.
입문
SQL, MySQL, 카카오공채-서비스
If you are curious about the various possibilities and future prospects of generative AI, including ChatGPT and Clova X, that can be used for data analysis, come to our seminar this May!
The nature of change through AI
The many possibilities that generative AI can be used for data analysis
The Future of Analytics with Generative AI
The impact of AI on analytics industry and job market
How to prepare for a data scientist career
Data analysis seminars hosted by industry analysts 💡
Watch the May 2024 seminar again!
📢 Please check before taking the class!
This lecture is a recording of the live seminar "Data Analyst Career with Generative AI" held in May 2024 .
Part 1 Speaker Q&A and Part 2 Panel Talk are live-only sessions and will not be available for replay.
Datarian Seminar
Anyone curious about the future of data analysis
Anyone curious about how to utilize generative AI such as ChatGPT and Clova X for data analysis
Are you curious about how Naver data analysts work?
Anyone who wants to hear directly from Jinyoung Kim, author of 'Hello Data Science'
View previous seminars: https://www.inflearn.com/roadmaps/644
Go to the next live seminar: https://datarian.io/seminar
✔ Speaker Kim Jin-young
Naver Head of Data Science & Director of US R&D
Former Snap Lead Data Scientist
Former) Microsoft Senior Applied Scientist
I'm a data scientist and evangelist currently serving as Director of Naver Search US. As a leader of Naver's Data & Analytics (DnA) organization, I'm building cutting-edge analytics technologies and experimental platforms. (Author: Hello Data Science)
We'll explore the diverse possibilities for data analysis using generative AI, including ChatGPT and Clova X, and look ahead to the future based on recently announced solutions. Furthermore, in this era of significant uncertainty, we'll conclude with a story that will help aspiring data scientists, or those currently working in the field, advance their careers.
Q. When will the Datalian Live Seminar be held? Where can I register?
You can find information about the next seminar on the Datalian website . You can also apply right away!
Q. Is there anything I need to prepare before listening?
No :D Anyone can hear it!
Q. Can I view the slides you used in the seminar separately?
Please check the slides at the link below!
May Seminar Slides : https://bit.ly/4dJ7eSZ
Q. Is a replay of only Part 1 of the lecture available?
Yes, only Part 1 of the lecture is available for replay.
Part 1 Speaker Q&A and Part 2 Panel Talk are live-only sessions, available only during the live seminar, and replays are not available.
What struck me was that data analysts might not disappear due to the automation of data analysis through LLM programs, but rather because they can't convince others with the data analysis results they obtain. Ultimately, the fact that this AI technology won't completely replace humans was incredibly reassuring to me.
I was impressed by the data analysis skills that job seekers need to acquire in preparation for generative AI's automation of tasks, and the stories that can be applied beneficially even after becoming a data analyst.
It's not easy to meet and hear opinions from senior analysts in the industry, but I listened attentively to your detailed opinions on career-related topics.
It was great to hear about the advancements in generative AI and its application in search algorithm analysis from the perspective of a data leader.
While soft skills and domain knowledge are key for a data scientist career, I was impressed by how technical understanding remains crucial. It once again reminded me that this is a job field that requires a diverse range of capabilities. 😊😊.
I was impressed by the section on the competencies required for junior data analysts/data scientists. I was worried as a job seeker, so thank you.
I found it interesting that there's a gap in the pace of AI development (between effective application in practice and replacement) that we've been missing, and that this has us rethinking our jobs and industries from a soft skills perspective.
It was great to hear detailed accounts from professionals about the impact of generative AI on data jobs. Initially, I had vague apprehensions about the impact of GenAI, but this seminar helped me dispel those fears and gave me the opportunity to think more deeply about my career path! ☺
These days, I feel like the role of data is growing. I simply want to thank you for hosting this data seminar and ask for your continued support and encouragement. Thank you.
As a non-major, I've received a lot of help in various areas, from getting started with data analysis to preparing for employment. I hope the data profession community will continue to grow in scale. Thank you.
It was fun to compare the specifics of data analyst duties and routines. 😊😊 This was my first seminar, but the presentation was relaxed and comfortable, so I was able to focus without getting bored. I'm definitely looking forward to the next seminar ! 🔥
Although I've been an analyst for quite some time, today was my first time attending a Datalian seminar. It was great to hear diverse perspectives on a topic I've been struggling with. I look forward to more interesting topics in the future.
Thank you for providing such informative seminars and blogs. As a Datarian fan, I will continue to work hard to spread the word. :) Thank you for your continued preparation and hard work!
We support all Datalians who are always working hard to expand the horizons of data analysis and utilization!
I love you! Datalian, the only spring I look forward to while job hunting♡
I've only recently become interested in this field, and I'm looking forward to continuing to utilize it. Thank you for providing such a useful service!
I'm currently working as a developer, but I'm considering a career transition into data science. The diverse insights I've gained have been incredibly rewarding.
Who is this course right for?
Anyone curious about the future of data analytics
Anyone curious about how to use generative AI such as ChatGPT and Clova X for data analysis
Are you curious about how Naver data analysts work?
Anyone who wants to hear directly from Jinyoung Kim, author of ‘Hello Data Science’
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