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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) 94 reviews

719 learners

Level Beginner

Course period Unlimited

Python
Python
Data Engineering
Data Engineering
Python
Python
Data Engineering
Data Engineering

News

24 articles

  • datarian님의 프로필 이미지

    I'd like to share information about the free GA4 Hands-On Seminar that will be held next Tuesday evening.

    I've prepared this for those who have resolved to learn GA4 this year but haven't started yet.

    GA4 핸즈온-4.png.webp

    In just 2 hours at the seminar, you can install GA4 on your blog and check real-time data yourself.

    GA4 can be installed without development knowledge

    Hands-on, hands-on training with simple setup in just a few clicks

    Install GA4 on your Tistory blog and check real-time data

    You can ask practitioners directly about your GA4-related questions in the Q&A session.

    📅 Seminar Information

    • Event Date: 7/15 (Tue) 7:00 PM - 9:00 PM

    • Location: Zoom Online

    • Cost: Free

    👉 Apply for participation

    If you have a teammate or acquaintance who might need a seminar, please share the news with them :)

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  • datarian님의 프로필 이미지

    Edited

    Hello planners and marketers,
    Has anyone seen the outdoor advertisement for Speak that covered Gangnam Station earlier this year?

    It is not easy for a startup with a limited budget to plan and confirm outdoor advertising.

    I would like to share a blog post written by 'Jung Du-hyeon', a Speak Branding Marketer, about the difficult process of planning, confirming, and executing outdoor advertising.

    I think there are many people who are worried about the promotional plans for the year-end and New Year holidays.
    I recommend that you read Duhyun's blog post and use it as a reference to learn how to persuade your CEO and team members.

     

    The story of covering Gangnam Station with outdoor advertising - Internal persuasion
    https://bit.ly/4gUDIvj

     

    Internal Persuasive for Brand Campaigns
    https://bit.ly/4eZ3yN1

     

    If you attend the Datalian seminar held next Tuesday, you will also hear internal persuasion tips from IT startup practitioners, so if there are people around you who are interested, please share the seminar news with them 😀

     

    Watch the seminar 'Effectively Persuading My Plan Based on Data' on Tuesday, October 15th
    https://bit.ly/4eMWVgC

     

    24년 8월 세미나 소개 1page.png

     

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  • datarian님의 프로필 이미지

    Data analysts can be divided into ‘in-house data analysts’ and ‘consulting data analysts’ depending on the type of company they work for.

    Next Tuesday (7/9) at 7 PM, there will be a seminar where you can learn about the differences between the two types of data analysts , with senior data analysts who have built their careers as consulting data analysts and in-house data analysts .

    If you have a colleague or friend who is an aspiring data analyst or junior analyst who is worried about their first company or career, please share the seminar information 🙂

    👉 Check out the seminar: https://bit.ly/3GmaJzu

     

    Datalian July Seminar “Data Analysts, Which Company Should You Go To?”

    📅 7/9 (Tue), 7pm ZOOM Online

     

    [Part 1 Lecture] This is what data analysts at consulting firms do _ Kim Seon-young, Executive Director of Market Fit Lab Solutions Division

    [Part 2 Panel Talk] What is the difference between an in-house data analyst and a consulting data analyst?

     

    👉 Apply: https://bit.ly/3GmaJzu

     

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  • datarian님의 프로필 이미지

    Have you ever used ChatGPT? These days, with the emergence of various generative AIs in addition to ChatGPT, many people are receiving help in their work or daily lives. In this era, will data analysts soon disappear? What kind of preparation should we make for the generative AI era?

    We will be talking with Naver Head of Data Science Jinyoung Kim, who has built his career in the U.S., at the Datarian May seminar. Don’t miss the panel talk with Datarian CEO Sunmi Yoon, who has built her career as a data analyst at various companies in Korea, including Coupang, Hyperconnect, and Kakao.

     

    If you are curious about the future of data analysis and the role of data analysts in the AI era, be sure to register for this May seminar.

    If you have a friend or colleague around you who needs this seminar, don't forget to share the news about it with them :)

     

    📅 Apply for the Zoom seminar on Tuesday, May 14 at 3 PM

    https://bit.ly/3OeU85q

     

    1⃣ [Lecture] “Data Science in the Age of Generative AI”

    2⃣ [Panel Talk] “Career Guide for Data Analysts Who Want to Grow”

     

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  • datarian님의 프로필 이미지

    Hello, this is Datarian Bomin.

    Since October of last year, Datalian has been running a challenge where students read books related to data analysis and write about them. This time in particular, we are openly recruiting challengers so that we can do this with more people who want to upgrade their data analysis skills 🙌 Anyone can participate in the challenge!

     

    #DataNextLevelChallenge #DevelChallenge 1-minute summary

    • Read recommended books from data analysts in the field and complete the mission of verifying your identity on SNS and Datalian Slack once a week.

    • Anyone interested in data analysis can apply. If you have friends or colleagues interested in data analysis, please share the news of the challenge opening.

    • It will be a 3-week challenge + retrospective meeting.

    • There is no entry fee! Please prepare your own challenge book.

     

    April Challenge Book: The Red Lie, Statistics

    image

    The April Challenge Book is an introductory book on statistics that explains statistical errors that can easily be made in real life in an easy and fun way.

    I think I need to have basic statistical knowledge to effectively utilize data in my work .. I recommend this challenge to those who are wondering if there is an introductory book that is easy to read rather than a stiff and boring major book!
    For more detailed information about the challenge and how to apply, please check the link below :)

    👉 https://bit.ly/3IHTQQJ

     

    Are you curious about what kind of camp the data analysis camp that includes challenges after the end of the semester is?

    Get insights and tips from data analysts from Jobplanet, Coupang, and Ridibooks.

    Check out the 'SQL Data Analysis Camp' (~until 3/15, 30% early bird discount)
    https://bit.ly/3RiEl79

    Check out the 'GA4 Data Analysis Camp' (until 3/15, 30% early bird discount)
    https://bit.ly/3VcOJ2E

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  • datarian님의 프로필 이미지

    Hello, I'm Bomin, a data analyst 😊
    I graduated from the Creative Writing Department and started working as a data analyst.

    When I listen to the difficulties of people preparing for employment these days, I feel like the situation has not changed much since I was preparing for employment. In this article, I will answer the questions frequently asked by those who are starting to prepare for employment as a data analyst.

     

    Q. What skills are needed for a data analyst?

    A. To find the competencies required for a data analyst position, you should carefully look at the job posting. This is because the job posting is a document that officially lists the role, competencies, and skills that the company wants from the person who will work as a ‘data analyst.’

     

    If you look at the job posting, especially the 'Qualifications' and 'Preferred Qualifications' sections, you can learn more about the capabilities and skills required to work in this position.

     

    If you want to know what skills are needed for a data analyst, I recommend you collect the data below and check it out for yourself.

     

    1. We are collecting job postings for data analysts.

    2. Look for commonly mentioned skills in the ‘Qualifications’ and ‘Preferences’ sections.

    3. Find out which skills are mentioned more in the ‘Qualifications’ section.

     

    If this process is too cumbersome, I will share with you job posting data directly analyzed by field data analysts.

    You can see the data from 40 data analyst job postings analyzed in the link below .

    👉 https://bit.ly/3Hj5HE9

     

    If you are wondering how to properly utilize this data,
    Come to Datalian’s January seminar to learn the know-how of getting a job as a data analyst as a non-major.
    I'll tell you some job-hunting tips from non-major data analysts who graduated from the Department of Creative Writing and the Department of Social Welfare.


    Apply for the January seminar 'How did a non-major become a data analyst?'
    👉 https://bit.ly/3GmaJzu

     

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  • datarian님의 프로필 이미지

    Save your collection of links separately and refer to them again and again whenever you need them.

    If you have a friend or acquaintance interested in a data analyst job, please share this list of contents with them.

     

     

    Prepare for a Data Analyst Job

     

    1. Do I need to learn SQL, Python, and R to become a data analyst?
    https://bit.ly/3sNJjPY

     

    2. A collection of YouTube videos that data analysts looking for a job must watch
    https://bit.ly/44p4Efj

     

    3. Does data analysis require talent? feat. MBTI of data analysts
    https://bit.ly/49hgDzg

     

    4. Is the Information Processing Engineer certification helpful in getting a job as an analyst?
    https://bit.ly/46AHBPF

     

    5. Will graduate school help me in my career as a data analyst?
    https://bit.ly/3Ml6dVp

     

    6. How many projects is appropriate for a data analytics portfolio?
    https://bit.ly/3N7aCM2

     

    7. 14 Questions I Asked When I Went to a Data Analyst Interview
    https://bit.ly/3N1jt1J

     

     

    🔥 Preparing for SQL coding test

     

    1. Comparison of the pros and cons of 4 SQL coding test practice sites
    https://bit.ly/3Rmf0Ji

     

    2. Recommended SQL reference books for data analysis
    https://bit.ly/49VgS38

     

    3. Cheat Sheet for SQL Beginners
    https://bit.ly/3T3M2zs

     

    4. SQL Cheat Sheet for Real-World Data Analysis
    https://bit.ly/47w4zIU

     

    5. SQL coding test know-how from data analysts
    (Available only for one day in December)
    https://bit.ly/3GmaJzu

     

    6. SQL Data Analysis Camp, a practical curriculum taught by data analysts in the field
    https://bit.ly/3RiEl79

     

     

    📂 Data Analysis Portfolio All you need to know is this

     

    1. Finding data
    https://bit.ly/3Z4kdYM

     

    2. Define the problem
    https://bit.ly/3sANP3P

     

    3. Analyze
    https://bit.ly/3L1grJC

     

    4. Write a portfolio
    https://bit.ly/45RdCDa

     

     

    🎆 A collection of articles that will be helpful to those who are having trouble changing jobs

     

    1. How I Wrote My Resume When I Switched Jobs to Data Analyst
    https://bit.ly/3uInfGK

     

    2. 8 Frequently Asked Questions by People Looking to Switch to Data Analysts
    https://bit.ly/3N6boJf

     

     

    If you would like to see more content related to data analysis,

    Come visit Datarian Blog & YouTube.

     

    👉 Go to Datalian Blog

    👉 Go to Datalian YouTube channel

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  • datarian님의 프로필 이미지

    Edited

     

    We are looking for passionate individuals to add 'SQL' and 'Data Analysis' skills to their resume.


    Hello, this is Bomin from Datalian. During this holiday, there have been a lot of requests from people who want to study SQL data analysis that they had been putting off and apply it to their work.

     

    After persistently persuading the representatives, we have created a discount event where you can take the SQL Data Analysis Camp Introductory Course at a 50% discount during the holiday period. We are waiting for passionate people who want to take the 4-week course in 12 days 🙌

     

    If you've thought, 'I should definitely study SQL someday' or 'I should definitely start studying data analysis this year', then take the Datalian SQL Data Analysis Camp introductory course during this Golden Week holiday and add 'SQL' and 'data analysis' skills to your resume!

     


    ✨ [SQL Data Analysis Camp | Beginner Class] Chuseok Special Program ✨

    - How to apply: Submit the event application form ( https://bit.ly/48lQ5Mt ) and pay

    - Application deadline: 9/26 (Tue) 24:00

    - Course period: 9/28 (Thu) ~ 10/9 (Mon), 12 days

     

    * Payments can be made by corporate cards or foreign cards.

    * Study matching and progress care services are not provided.

    * This program may close early as it is limited to 30 participants on a first-come, first-served basis.

    * For other inquiries, please send a message to the 'Datalian' KakaoTalk channel ( https://pf.kakao.com/_DQxfsb ).

     

     

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