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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) 93 reviews

719 learners

Python
Data Engineering

Reviews from Early Learners

What you will gain after the course

  • 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

22,328

Learners

2,667

Reviews

27

Answers

4.9

Rating

35

Courses

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Curriculum

All

58 lectures ∙ (8hr 48min)

Published: 
Last updated: 

Reviews

All

93 reviews

4.8

93 reviews

  • whishawman1635님의 프로필 이미지
    whishawman1635

    Reviews 7

    Average Rating 4.9

    5

    98% enrolled

    I'll try my best, Jayang-dong residents, fighting!

    • sunmiyoon
      Instructor

      Ah 😆 Fighting to the residents of Jayang-dong! Fighting to you too, Min-nim!

  • dayesong7137056님의 프로필 이미지
    dayesong7137056

    Reviews 5

    Average Rating 5.0

    5

    100% enrolled

    I am taking the SQL lecture and moving on to data analysis, so I am listening to it more. I am also planning to take the Pandas lecture.

    • minjumore3829
      Instructor

      Daye Song, thank you for your review! I sent you the discount code by email. Please check it :)

  • rtgww77771099님의 프로필 이미지
    rtgww77771099

    Reviews 7

    Average Rating 5.0

    5

    100% enrolled

    I would appreciate it if you could explain this in more detail.

    • sunmiyoon
      Instructor

      Since this lecture focuses on analysis rather than development, you may have felt that it is relatively shallow. We also struggled to adjust the difficulty and depth, but this is more than enough for an introductory course! This is a recently opened lecture, so thank you for taking the lecture quickly and leaving a review :D

  • 100abi3026님의 프로필 이미지
    100abi3026

    Reviews 1

    Average Rating 5.0

    5

    100% enrolled

    Thank you for the great lecture!

    • minjumore3829
      Instructor

      Thank you for your course review! Congratulations on completing the course, Subin!

    • sunmiyoon
      Instructor

      Congratulations on your success!!

  • sungsunim1613님의 프로필 이미지
    sungsunim1613

    Reviews 1

    Average Rating 5.0

    5

    100% enrolled

    It seems like a good course for beginners in Python. I like it~~!!

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