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Data Science

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Data Analysis

[ChatGPT-based Practical Data Analysis Special Lecture] Data Analytics Lecture Learned by London MBA Students

"Are you still studying from coding books?" I am a British Professor who is currently teaching data analysis and project classes to MBA graduate students at London Business School using ChatGPT without any coding knowledge.

(4.8) 16 reviews

83 students

Python
ChatGPT
EDA
analytics
Thumbnail

This course is prepared for Basic Learners.

What you will learn!

  • Let's understand easily with ChatGPT without coding or statistical knowledge!

  • Let's analyze data with ChatGPT free version! (Paid version: $20)

  • Learning essential libraries such as pandas and matplotlib

  • Implementing analysis and prediction models (regression analysis, random forest)

  • Understanding and applying data-driven analytics frameworks

  • Practical case studies in various domains (HR Analytics, Medical, Academy)

What UK MBA students learn
Practical data analysis!


100% satisfied with the lectures at London MBA, Executive MBA (CEO Course)

This course was provided to London MBA students and decision makers who are taking the Executive MBA. It covers everything from basic concepts of data analysis to practical analysis using ChatGPT, and received a 100% satisfaction rating from UK MBA students.

Enter the world of data analysis without coding with ChatGPT! 🧑‍💻

Have you ever given up on learning the basics of coding because you got bored? Or have you spent too much time studying coding before even getting into data analysis? With ChatGPT, you can easily and quickly approach data analysis without any coding knowledge . Start right now, master the skills of data analysis, and apply them to your actual work to create differentiated value.

A lecture that develops problem-solving skills of non-developers 🎯

Even non-developers who don't know how to code have become weapons in the era where their practical knowledge and practical experience become weapons. If you learn how to solve the technical part of programming easily and quickly with ChatGPT through this lecture, I believe that any practitioner armed with domain knowledge can develop data-based problem-solving skills.


I recommend this to these people

Data-driven communication

Anyone struggling to make decisions within an organization or persuade their superiors based on data

Data analysis without coding

If you have opened and closed the Python book several times, but still want to use Python in real life,

Data Analysis Practical Sense

Anyone who wants to develop a sense of practical data analytics to solve problems with data literacy

Learn about these things

1⃣ Increase productivity through data analysis using ChatGPT!

Stop studying with coding books!

We will introduce how to load the necessary Python code by simply entering a question (prompt) in ChatGPT. Since we will guide you through each data analysis step in detail, you will be able to freely conduct data analysis on your own after taking the course.


2⃣ From basic concepts to processes for data analysis

We will guide you step by step from the basic concepts of data analysis to practical application methods. You will learn about the data analysis process, data visualization, linear regression analysis, random forests, logistic regression analysis, and other data analysis methods suitable for various data types, as well as metrics for measuring accuracy.

3⃣ Step by step with practice materials

We will practice the entire process of visualization, regression analysis, and predictive analysis based on data.

  • Visualization: Visualizing the mid- to long-term workforce structure within an organization

  • Regression Analysis: Predicting the Acceptance Rate of International Students to Overseas Universities

  • Predictive analytics: Establishing a diabetes prediction model

British Professor

  • Currently Professor of Data Analytics & Visualization at London Business School, Business Analytics and Executive MBA Program


  • 7 years of experience as a Data Analyst & Data Scientist at a large company

  • Master's Degree in Data Science in the United States

  • Domestic and international corporate consulting and instructor (machine learning, deep learning, NLP, data literacy, etc.)

Things to note before taking the class

Practice environment

  • Hardware: Laptop

  • Software: A healthy mindset, flexible thinking to embrace new technologies, and confidence that you can do it.

Learning Materials

  • Python code, links to relevant materials, etc.

  • Real-time QnA KakaoTalk open chat room: British professor's data analysis with ChatGPT ( https://open.kakao.com/o/gqDGw9hg)

Player Knowledge and Notes

  • The free version of ChatGPT is sufficient for data analysis.

  • Even if you don't know Python at all, you can do it.

  • It's good to know basic statistics, but even if you don't, ChatGPT provides a way to fill in the gaps.

Recommended for
these people!

Who is this course right for?

  • People say Python is important, but I have no idea how to use it.

  • While working, I want to have a weapon and expertise that only I can use.

  • We need something new that goes beyond existing reports.

  • I heard that data literacy is important, but I wonder how to learn it.

  • There have been many instances where I started learning Python from the grammar and then closed the book.

  • I'm curious about how data analysis is used in practice.

  • I want to analyze real data, not virtual data like Kaggle.

  • I want to get a feel for data analysis certifications such as Big Data Analyst and ADP.

Need to know before starting?

  • Curiosity to learn new skills

  • confidence that you can do it

Hello
This is

83

Students

16

Reviews

1

Answers

4.8

Rating

1

Course

영국교수

  • 런던 Business School MBA 및 Executive 대상 Data Analytics & Visualization 강의

  • 국내외 대기업 및 스타트업 대상 컨설팅 및 출강

  • 국내외 대학 데이터 분석 및 진로 특강

Curriculum

All

32 lectures ∙ (4hr 19min)

Published: 
Last updated: 

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