AI Agents for Immediate Use: Fully Automate Your Work with Claude Co-work
Masocampus
Just say it, and AI will do it! From files and reports to emails. The Claude Cowork practical course for full automation without coding!
Basic
claude, AI, AI Agent
Put an end to daunting data analysis with ‘Exploratory Visualization’! Drastically increase the speed of practical analysis without difficult coding.
17 learners
Level Beginner
Course period Unlimited
Reviews from Early Learners
5.0
찰떡콩떡
I really learned what customized visualization is all about! It was a truly useful lecture~
5.0
핑꿀
I like that it doesn't just explain theories. The content was very helpful because it seems like something that can be applied directly to actual work!! I would recommend this to beginners who are wondering how to integrate data analysis and AI:)
5.0
sunny
I like that the basic concepts are explained in detail. They also provide as many practice files as a 30-hour course.
Understanding the Mindset of Exploratory/Explanatory Visualization
Guide to Selecting the Right Chart for Your Data Type and Purpose
Advanced visualization techniques for penetrating distributions and relationships
Prevention of visual distortion and stable data interpretation
Smart BI Dashboards: Complete Without Coding
Charts should not be about flashiness, but rather serve as clear "evidence."
Choosing the right chart that aligns with your analytical intent is the most powerful weapon for persuasion.
– Clearly diagnose distribution status and outliers with histograms and box plots
– Identify hidden correlations and patterns between multidimensional variables with scatter plots and heatmaps
– Intuitively track time-series changes and movement paths with Sankey charts and ribbon charts
– Pre-emptively block common visual pitfalls in practice, such as axis distortion and weighting errors
We will eliminate the frustrating process of struggling to interpret numbers.
All you need to do is add your sharp insights on top of the objective evidence presented by clear charts!
1. Understanding the Mindset of Exploratory/Explanatory Visualization
Equip yourself with a visual analysis mindset that goes beyond simple design to find hidden patterns and deliver core messages
2. Guide to Selecting Charts Based on Data Type and Purpose
Establish criteria for planning the optimal chart that perfectly aligns with analytical goals such as distribution, comparison, and relationships
3. Advanced Visualization Techniques for Distribution and Relationships
Intuitively identify multidimensional variable flows and core causes through the cross-utilization of box plots, heat maps, and Sankey charts
4. Preventing Visual Distortion and Reliable Data Interpretation
Avoiding common visual errors such as axis settings and data normalization, and establishing objective analysis standards
5. Smart BI Dashboards Completed Without Coding
Implement key factor dashboards using familiar tools like Excel and Power BI for immediate practical application
1. Register for the course
2. Perfect mastery of ‘deriving insights’ with instructor Jung-ah Choi
3. Building a 'Customized Dashboard' system for immediate use in your work
If your conclusions are always predictable even after analyzing data, you must completely change your visualization method!
– Planning and analysis professionals who need to quickly identify meaningful business patterns within vast amounts of raw data
– Reporting and sales representatives who need to persuade other departments and management with a single intuitive chart instead of long text
– Business practitioners who want to directly monitor key metrics necessary for their work without IT department support
– Decision-makers who need to make strategic judgments based on objective indicators, excluding subjective intuition
Stop listing meaningless data; now you must persuade with a 'clear conclusion!'
Shall we pierce through to the real clues behind the numbers with the optimal charts?
STEP 1. Shifting to 'Visual Thinking' beyond list-style summaries
Improve information processing speed by converting complex raw data into charts that suit the purpose
STEP 2. Planning the 'Optimal Chart' to prevent data distortion
Establish standards for accurate information delivery by excluding statistical errors that occur in practice
STEP 3. ‘Cross-Analysis’ Practice to Read Beyond Surface-Level Figures
Identify core causes by understanding correlations between multi-dimensional variables beyond simple performance fluctuations
STEP 4. Building a Practitioner-Led 'Monitoring Dashboard'
Setting up a tracking environment to check your business metrics using Excel and BI tools without complex coding
STEP 5. 'Practical Visualization' practice to apply to work immediately after learning
Acquire practical skills by handling data yourself so you can apply them to proposals and reports immediately the day after class
A simple listing of data is not planning.
Start with intuitive 'visual evidence' for successful persuasion,
and build your practical skills by designing a dashboard perfectly tailored to your work!
Q. Is it possible to take the course even without a background in data analysis or statistics?
A. Yes, it is absolutely possible. Instead of complex coding or difficult statistical theories, this course focuses on how practitioners can derive immediate visualization insights from real-world data. As long as you know how to use basic document programs, even beginners can follow along without any trouble.
Q. Are there any requirements or prerequisites for taking the course?
A. There is no need to install expensive professional analysis tools separately. The practice sessions are designed so that you can visualize data and build logic using only Excel, which is most commonly used in the field, and popular BI tools.
Q. Do I need to purchase a paid solution to take this course?
A. No, a paid solution subscription is not required. This course covers the principles and methodologies of designing practical, customized dashboards using universal tools without being dependent on a specific tool, so it will not interfere with your learning at all.
Since this is a practice-oriented course, it is recommended to prepare a dual monitor or an extra device so that you can separate the lecture screen from the practice screen.
Also, since the practice sessions are based on Windows OS, we recommend taking the course in a Windows environment.
Lecture notes and practice files are located in the <00. Textbook Download Center> section.
Who is this course right for?
Planning and analysis practitioners who need to quickly identify meaningful business patterns within vast amounts of raw data
Reporting and sales professionals who need to persuade other departments and management with a single intuitive chart instead of long text.
Business users who want to directly monitor key metrics necessary for their work without IT department support
Decision-makers who must exclude subjective intuition and make strategic judgments based on objective indicators
Need to know before starting?
Instead of complex coding or difficult statistical theories, this course focuses on how practitioners can derive immediate visualization insights from real-world business data. As long as you know how to use basic office software, even beginners can follow along without any trouble.
There is no need to install expensive specialized analysis tools. The practice curriculum is designed so that you can visualize data and build logic using only Excel, the most widely used tool in the field, and popular BI tools.
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Reviews
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Answers
4.7
Rating
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33 lectures ∙ (14hr 20min)
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8 reviews
5.0
8 reviews
Reviews 31
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Average Rating 5.0
5
I like that the basic concepts are explained in detail. They also provide as many practice files as a 30-hour course.
Thank you for leaving such a valuable review😊 Miso Campus will continue to repay you with even better content!
Reviews 41
∙
Average Rating 5.0
5
I love this lecture because it does a great job of showing the flow of turning data into insights! I feel like the quality of my reports has improved!
Thank you for leaving a course review😊 Miso Campus will always do its best!
Reviews 8
∙
Average Rating 5.0
5
I like that it doesn't just explain theories. The content was very helpful because it seems like something that can be applied directly to actual work!! I would recommend this to beginners who are wondering how to integrate data analysis and AI:)
Thank you for leaving such a valuable review😊 Miso Campus will continue to repay you with even better content!
Reviews 22
∙
Average Rating 5.0
5
I really learned what customized visualization is all about! It was a truly useful lecture~
I'm so glad to hear that our lecture was helpful😊 Thank you for leaving a review!
Reviews 6
∙
Average Rating 5.0
5
I thought visualization was just something you do, but I guess that wasn't the case... Thanks to this lecture, I now have a solid grasp of how to effectively reveal data patterns.
Thank you for your valuable review😊 Miso Campus will continue to provide satisfying lectures in the future!
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