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Python for Data Analysis: From Beginners to Tips

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.

(4.8) 89 reviews

717 learners

Python
Data Engineering

Reviews from Early Learners

What you will learn!

  • Python Basics for Data Analysis

  • Improve your Python skills by solving problems

  • Python Basics that even beginners can learn step by step

✔️ Course Roadmap

✔️ People like this will like this!

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.

✔️ Python Basics for Data Analysis!

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 👇

✔️ Practice problems provided

Wait a minute! Here's a practice problem.

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!

✔️ Benefits of this class

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.

✔️ Curriculum

Section 0. Orientation ~ Section 1. Overview
  • What is Python? Introduction to Python
  • Developing a programming language mindset
Section 2. Basic Data Types ~ Section 6. Functions and Classes
  • Essential Python Theory for Data Analysis
  • A set of practice problems + solutions to help you check the theory you've learned.
  • Introduction to useful features that are not covered in other Python basics courses, such as f-string and comprehension, but are useful in practical Python coding.
Section 7. Data Analysis Library
  • I've learned all the basic Python syntax! What should I study next?
  • A taste of Python's data analysis library, Pandas, and the machine learning bible, Scikit-learn.
  • Even if you know nothing about data analysis or machine learning, you can learn computer vision by following the code and listening to the lecture. This course will allow you to write a classification algorithm that classifies handwritten digit images.

✔️ FAQ

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.

  1. There is a need to handle larger amounts of data faster than Excel.
  2. Analysis requires more complex data processing.
  3. Special visualization is required.

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.

Datarian's
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🎉 Event Information 🎉

Write a course review
Get 30% off the [Pandas for Data Analysis] course.

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)

  • Coupons are sent out every Tuesday based on course reviews submitted by the previous Sunday. (For example, if you submit a review on Monday, you'll receive your coupon on the following Tuesday.)
  • This event will run until December 31, 2021.

✅ 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!

Recommended for
these people

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

Hello
This is

33,398

Learners

2,918

Reviews

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Answers

4.9

Rating

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실무 경험이 탄탄한 현업 분석가들이 데이터 분석 교육을 기획하고, 직접 강의합니다.

데이터리안에 대해서 더 알아보고 싶다면

👉 https://datarian.io/

Curriculum

All

58 lectures ∙ (8hr 48min)

Published: 
Last updated: 

Reviews

All

89 reviews

4.8

89 reviews

  • Mina Kim님의 프로필 이미지
    Mina Kim

    Reviews 7

    Average Rating 4.9

    5

    98% enrolled

    힘내볼게요 자양동 주민 화이팅

    • 윤선미
      Instructor

      앗 😆 자양동 주민 화이팅! 미나님도 완강 화이팅!

  • Daye Song님의 프로필 이미지
    Daye Song

    Reviews 4

    Average Rating 5.0

    5

    100% enrolled

    sql 강의 듣고 데이터분석으로 넘어와서 더 듣고 있어요. 판다스 강의도 수강할 예정입니다.

    • 김민주
      Instructor

      Daye Song 님, 수강평 감사합니다! 할인코드는 이메일로 보내드렸습니다. 확인부탁드려요 :)

  • 김태우님의 프로필 이미지
    김태우

    Reviews 7

    Average Rating 5.0

    5

    100% enrolled

    좀더 깊게 알려주시면 감사하겠습니다.

    • 윤선미
      Instructor

      아무래도 개발이 아니라 분석에 초점이 맞춰져 있는 강의라서 상대적으로 깊이가 얕다고 느끼셨을 수도 있을 것 같아요. 저희도 난이도나 깊이 조절에 고심했는데, 입문으로 이 정도면 아주 충분합니다! 최근에 오픈한 강의인데 빠르게 강의 들어보시고 수강평도 남겨주셔서 감사합니다 :D

  • 박수빈님의 프로필 이미지
    박수빈

    Reviews 1

    Average Rating 5.0

    5

    100% enrolled

    좋은 강의 감사합니다!

    • 김민주
      Instructor

      수강평 감사합니다! 완강 축하드려요 수빈님!

    • 윤선미
      Instructor

      완강 축하드려요!!

  • 임성순님의 프로필 이미지
    임성순

    Reviews 1

    Average Rating 5.0

    5

    100% enrolled

    파이썬 입문자에게 적합한 강의인거 같습니다. 좋아요~~!!

    $29.70

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