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[백문이불여일타] 데이터 분석을 위한 고급 SQL 문제풀이
데이터리안
인프런 누적 수강생 10,000명 이상, 풍부한 온/오프라인 강의 경험을 가진 데이터리안의 SQL 고급 문제풀이 강의. SQL 고급 내용을 연습해 볼 수 있는 여러 문제를 함께 풀어봅니다.
Intermediate
SQL
Datarian's Python basics course with over 10,000 cumulative students and rich online/offline lecture experience. It boldly omits unnecessary details such as program installation so that even non-majors can learn easily, and only teaches the core of Python. This is the best course for those who are learning Python for the purpose of data analysis.
Python Basics for Data Analysis
Improve your Python skills by solving problems
Python Basics that even beginners can learn step by step
Not for web or server development
Perfect for data analysis purposes
Are there any customized courses for Python basics?
Instead of the cumbersome process of installing Python,
Only the core of Python syntax
Can't we learn faster?
I studied by reading a basic Python book
I understand the grammar roughly...
Now that I'm actually trying to write it, I don't know how to do it.
After learning the theory
Solve the practice problems right away
I want to quickly digest what I've learned.
It is useful for data analysis
Programming language, Python!
Learn easily and reliably with Datalian.
This course is perfectly tailored for those studying Python for data analysis . It focuses on the most common aspects of data analysis. At the end of the course, you'll also get a taste of Pandas, the most widely used data analysis library in the industry, and Scikit-Learn, a machine learning library.
Let's fast forward to the future 🏃♀️⏰
What weapons will I have after completing this course?
Section 7. Data Analysis Library Overview Lecture Preview 👇
We provide a set of practice problems and solutions so you can learn Python theory and immediately start solving practice problems. This course is based on Datarian's years of teaching expertise, maximizing learning effectiveness by combining theory with practice problems of appropriate difficulty. Check out reviews of other Datarian courses!
No player knowledge!
No installation, no pre-requisite knowledge
No need.
Computer to listen to lectures,
Google ID, just focus
It's OK to bring it!
Anyone can do it easily
Even beginners and non-majors can do it
To make it easier to understand
For data analysis
Python core theory
Let me explain it to you kindly.
Level Up, Practice Problems
The basic theory I learned
Straight to the point
Configured to be applicable
Appropriate difficulty level
Provides practice problems.
Proven teaching skills
Many years of online/offline
Data analysis and
Programming language lectures
Solidly based on
The lecture is in progress.
Q. I'm new to programming. Can I take this course?
Yes! We've designed this course so that even non-majors and those new to programming can take it. You'll enjoy it :) You can see how beginner-friendly Datalian's courses are by reading the reviews left by other students.
Q. Why do I need Python for data analysis?
I believe that simply being proficient in SQL and Excel is sufficient for general analytical work. Back in my graduate school and junior days, I longed for something more sophisticated than Excel. But now I know. An analyst's true talent doesn't come from the tools they use, but from the keen insight that comes from repeating the cycle of analysis, experimentation based on that analysis, growth, and then analysis again. No matter how flashy your knowledge of analytical tools like SQL and Excel may be, without substance, it's just a waste of time.
However, depending on the domain of analysis and the team's common language, languages other than SQL often become necessary. A common example, and one that's often sought after in hiring, is Python.
As mentioned above, Python is a very useful tool for areas where analysis is difficult using SQL, Excel, or GUI-based visualization programs like Tableau. For those seeking to expand their careers into recommendation system planning and machine learning system planning, Python is practically essential.
Q. There are many Python courses on the market. Why should I take this course?
Python is a programming language with a wide range of applications. It can be used for web development, server development, data analysis, and more. The possibilities are endless.
When we learn English, we often have specific goals in mind. For example, if you're learning English for business conversation, you need to learn a different kind of English than someone simply learning English for everyday conversation. I believe the same is true for programming languages. That's why we've tailored this course to those who want to learn Python for data analysis.
View more lectures and reviews 🖱️
If you've taken the Python Basics course, it's time to dive into data analysis. I recommend starting with Pandas, Python's flagship data analysis library. Those who take this course and leave a review will receive a 30% discount coupon for the course "Pandas for Data Analysis: From Basics to Blog GA Data Analysis ." (Regular price: ₩77,000 👉 30% discount applied: ₩53,900)
✅ How to participate in the event
1. Complete the [Python for Data Analysis] course.
2. Write a course review
3. Complete your participation by leaving your email address in the course review!
Who is this course right for?
For those who are learning coding for the first time
For those who want to learn coding for data analysis purposes
I learned Python grammar, but I can't apply it when I actually try to do it.
For those who want to learn more about Python data structures
33,398
Learners
2,918
Reviews
23
Answers
4.9
Rating
40
Courses
All
58 lectures ∙ (8hr 48min)
All
89 reviews
$29.70
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