Skills You’ll Learn
▶ The lecture, which was recognized by leading universities/large companies, is now available online at Class 101.
Data analysis for practical use
I need to study with practical data!
▶ If you want to analyze data, use “real” data!
I thought about it every day. It's a data analysis course for practitioners, but why do they always teach only “Iris, Titanic Data”? Wouldn't it be “learning with practical data” the fastest way for practitioners to apply it to practice?
The data we encounter in practice is extremely complex. It's messy because it's unrefined, and it's very difficult to dispose of because there are many factors to consider. However, in most of the courses, lessons are conducted using data that has already been preprocessed. So even if you try to apply what you've learned to work, “How should I process the data?” When they encounter this difficulty, they give up.
The job of organizing messy data well,
It's the beginning of data analysis.
Instead of someone's well-organized Iris, Titanic, and Boston data, the training will be conducted with messy working data that you will encounter at the company tomorrow.
Customer CRM data and distribution data, which are most commonly seen in practice, are ripped off one by one and preprocessed directly. How to handle missing data, what kind of data to view, what data to combine with each other to create the desired value, etc. You will gain a deep understanding of data through a preprocessing process that you wouldn't have experienced unless it was practical data. With the preprocessing power gained through two projects, we can help you fearlessly cover over 90% of the working data you encounter.
It's not just a code-following class.
Learn data problem solving methodologies.
▶ Analysis of practical data using Python
Python lessons that only follow code cannot be used for practical work. Based on actual data, we consider “what kind of data should be combined” and “what kind of personnel should be selected” together. Follow the process of the business data analyst's project and solve the following practical exercises.
Hands-on exercises 1. Which credit card company is used the most by top customers?
Hands-on exercises 2. Distributors and shipping/receiving quantity data are managed like this!
Hands-on exercises 3. If you become a salesperson, you must do this kind of analysis!
Practical exercises 4. How many times have customers looking for a retail store visited the store?
Practical exercises 5. How do I import data from Data Base (DB)?
Practical exercises 6. How to extract data from a PDF!
Analyze with well-written code
What if it could be automated?
In practice, when you write a report or write a report, you have to go through the same process every time to process the data. In order to import large amounts of data, turn on Excel, which takes a lot of time, create functions, turn on the pivot table, and even graph.. Doing all of this in Excel takes too much time, and it's also complicated.
However, we learned Python. Organize quickly and easily by changing only the data with well-written code from the lessonTry it. You can learn how to process data easily and quickly with Python using data generated in practice.
What kind of content do you learn
How can I apply it?
- You can learn how to process data from a practical perspective using data from actual practice (customer CRM data, distribution data).
- Learn how to easily process data using the Python Pandas library, which is the most basic for data analysis.
- Based on a basic understanding of data analysis, you can learn data analysis procedures for performing data analysis in practice.
A class proven by reviews,
Now it's your turn.
Learn about data analysis for practical projects with Pandas! Understand the perspective of working data and process various data at will The first step in Python data analysisLet's start with me!
If you're still not confident in the basics of Python,
Let's finish it all in one package!
If you purchase this class and [Python Fundamentals Class] together, you can take two classes at once at a 42% discount compared to the regular price. Learn all in one, from data analysis to data analysis by building a solid Python foundation with the benefits of a cheaper package.
Python basic classes that are better to listen to
We've collected only basic Python knowledge essential for data analysts. This class is recommended for those who aren't confident in Python yet, or if they want to take this opportunity to test their skills.
💌 1:1 coaching ticket at the data station (1 time, 2 questions)
You can ask two questions per coaching ticket.
- 300 character answers to 1 question
- Ask a question after selecting 2 of the 4 items below
- If you ask questions in as much detail as possible, we will be able to answer them more accurately.
1. Career consulting related to turnover and employment
- Please fill in the following 4 pieces of information and we will respond.
- Major/ Field of interest (manufacturing, production, marketing, medical care, etc.)/Current status/ Desired career path
2. Advising on company projects/university, institution and corporate contests /private projects
- Please write down the details of your current project related to data analysis and send us an answer.
- Project name/field/progress status/question content (topic, direction, analysis techniques, PPT, presentation related)
3. Questions about code and analysis related to classes
- You can give feedback and correct the code on the lab questions provided in the class.
4. Data preprocessing coaching
- We will provide coaching on the data pre-processing currently being carried out by the project or company.
- Along with the data file attachment, please write in detail how you want the data to be preprocessed.
- - You can get accurate feedback by filling out the image of the data file after preprocessing in the form of a simple table and send it to us.
📌 How to use coaching tickets
- Click [My Classes] on the Class 101 web or app.
- Go to [My Class], go to [Coaching Ticket Mission] and click [Get Coaching].
- Please fill it out in [Write a post] and send it!
- Coaching is based on the date the question is received, and you will receive an answer within 7 to 10 days.
🚨 Coaching vouchers can be used for 20 weeks after the date of purchase, and there is no refund for unused use within the period.
📢 The package is subject to some changes, and we will be fully informed if there are any changes.
Curriculum
Creator
DATA STATION
Hallo
I am doing data analysis, lectures, and corporate consulting in the business data station It's.
Currently, large companies are conducting data analysis lectures and consulting for new employees and employees.
● Major career
• Advisor Professor, Data Innovation Group, POSCO Institute of Talent Creation (2018.12 to present)
• SAS JMP Korea Official Training Partners (201803 to present)
• Chief Researcher, INNOVALUE PARTNERS CO., LTD.
• Korea University, Master of Big Data Convergence
● Training results
• POSCO, “Youth AI - Big Data Academy” Project Course Professor
• LG Innotek, SSBD data analysis training
• Hanwha Total, big data education and consulting
• Korea Hydro & Nuclear Power, Data Analysis Training
• Samsung Multi-Campus, Data Analysis/ Machine Learning Training Using Python
• Hyundai NGB trains incumbents in data analysis
• Special Lecture on University and Graduate School Data Analysis
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데이터 스테이션
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