Now is the time to answer based on data rather than experience! If you quantify reliability with statistical knowledge and present it as evidence, your persuasiveness will go up infinitely!
Reviews from Early Learners
5.0
MUKAI IKUHO
As a business administration major, I started taking this course to keep up with my schoolwork! Even when difficult terms come up, the Japanese subtitles help me understand them right away!!!! Now I'm not afraid of my graduation thesis!!!
5.0
굴삭기
(In a good way) It teaches statistical methodology very easily and repeatedly through examples to the point of being boring, and the practice file structure is also very informative. I only learned statistics theoretically and only did analysis practice, so I forgot a lot of the time after studying. For example, when I looked at the concept, I understood it roughly, but I was in a similar state where I didn't know the exact meaning, interpretation, and application well. However, this lecture is well organized step by step, as if I could see the forest at a glance. The practice materials are also very specific and realistic, so I have experienced it at least several times in practice. It is not a lecture that simply deals with tools for analysis such as Python, but a lecture that emphasizes how to apply the theory intuitively and well to practice, so even if you don't have shallow development knowledge, you can learn about standard data analysis based on statistics. However, since the expectations and data level of each company or organization are different, you may not be given the opportunity to apply much of what you learn here in practice. (As many companies often make decisions based on simple descriptive statistics or data extraction results) I think this lecture is good to look back at every time, review, and check the basics. If you are an analyst or a planner, this is a must-listen lecture. I hope this lecture doesn't get taken down again later. I enjoyed it. Thank you.
5.0
아야
This was so much easier to understand than my graduate school classes!! I wish you could teach at my graduate school!! This was extremely helpful as I prepare to write my thesis! I hope a lot of people watch this video!
Descriptive statistics and visualization skills to read and summarize collected data
The ability to predict future data through probability and inference
Proficiency in various statistical analysis methods, such as Chi-square test, T-test, and regression analysis
The ability to find the optimal way to solve real-world business questions.
Learn statistics that can be applied immediately to real life
and discover the statistical principles within your daily life! 📈
🔹Please check before taking the course!
Those who felt a barrier to statistics because they were
afraid of math
Those who want to cultivate their
planning skills for data analysis projects
Those who want to find insights by immediately applying
statistical analysis to their practical work
Those who want to cultivate
business analytics capabilities
It is structured so that you can learn step-by-step statistical knowledge that can be applied continuously to practical work once learned. The moment you learn the statistical knowledge required for the field, you will not only master how to use analysis tools but also be able to generate business insights toward performance. Learn practical statistics once and use them consistently!
We start with the most fundamental statistical concepts, ranging from types of data to the concepts of variance and standard deviation. Rather than simply memorizing definitions, this lecture serves as a guide to help you understand through examples integrated with business cases. By solving practical real-world problems yourself, you can master both statistics and business operations without any boredom.
Since you will learn statistical analysis centered on actual BQs (Business Questions) rather than theory, you can immediately cultivate project understanding and planning skills. This is a time-saving, actionable curriculum that reduces the inefficiency of memorizing theory to apply it to work, and instead focuses on immediate practical application based on examples and hands-on practice.
💡 After taking the Statistical Analysis Master Class, you will be able to acquire the following competencies.
Data Bootstrap
Quantify and verify the uncertainty of estimates.
Central Limit Theorem
Provides the probabilistic basis for estimating population parameters.
One-Way ANOVA
Want to understand the relationship between
one dependent variable and one independent variable?
Practical Project
Now it's time for real-world practice! Discover the factors
affecting sales and grow your revenue!
산점도 그리기
Box and Whisker Plot Visualization
When you want to see only the key values obtained from the data at a glance!
Linear Regression Analysis
The hypothesis I made... is it true?
Now you can speak with 'real' data.
Practical Projects
Learn through statistics used in the real world!
Get familiar with statistics through various practical projects
Q. Can I follow the course even without basic knowledge of statistics?
This course begins with the most basic terms and concepts, ranging from types of data to the concepts of variance and standard deviation. It provides kind explanations using everyday examples to help you easily understand each term, and covers everything down to effective visualization methods tailored to your analysis goals and data. Whether you find statistics difficult or are a complete beginner, everyone is welcome to take this course!
Q. Do I need to be proficient in Excel to follow the class?
You don't need to worry about your Excel skills, as I will explain and go over every single button you need to click.
Q. Do I need to be good at high school level math to take this course?
This course breaks the stereotype of traditional statistics lectures where you have to sit through boring mathematical concepts; instead, it is packed with Moso Campus's unique know-how, developed with a focus on essential practical skills. You can take this course without any worries at all.
Who is this course right for?
Those who felt a barrier to statistics because they were afraid of math
Those who wish to cultivate their data analysis project planning skills
Non-majors who want to understand statistics properly and all at once through hands-on practice
Those who want to find insights by immediately applying statistical analysis to practical work
Those who wish to combine data science with business decision-making by cultivating business analytics capabilities
Those dreaming of "starting a business / joining a company / career transition / reskilling / talent transformation"
10,200
Learners
1,449
Reviews
123
Answers
4.7
Rating
104
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88 lectures ∙ (20hr 3min)
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23 reviews
4.5
23 reviews
Reviews 1
∙
Average Rating 5.0
5
As a business administration major, I started taking this course to keep up with my schoolwork! Even when difficult terms come up, the Japanese subtitles help me understand them right away!!!! Now I'm not afraid of my graduation thesis!!!
Thank you for leaving a review!! Please continue to support MASOCAMPUS lectures, which will continue to grow!!
Reviews 4
∙
Average Rating 5.0
5
(In a good way) It teaches statistical methodology very easily and repeatedly through examples to the point of being boring, and the practice file structure is also very informative. I only learned statistics theoretically and only did analysis practice, so I forgot a lot of the time after studying. For example, when I looked at the concept, I understood it roughly, but I was in a similar state where I didn't know the exact meaning, interpretation, and application well. However, this lecture is well organized step by step, as if I could see the forest at a glance. The practice materials are also very specific and realistic, so I have experienced it at least several times in practice. It is not a lecture that simply deals with tools for analysis such as Python, but a lecture that emphasizes how to apply the theory intuitively and well to practice, so even if you don't have shallow development knowledge, you can learn about standard data analysis based on statistics. However, since the expectations and data level of each company or organization are different, you may not be given the opportunity to apply much of what you learn here in practice. (As many companies often make decisions based on simple descriptive statistics or data extraction results) I think this lecture is good to look back at every time, review, and check the basics. If you are an analyst or a planner, this is a must-listen lecture. I hope this lecture doesn't get taken down again later. I enjoyed it. Thank you.
We're so glad that our lectures were helpful to you! As you mentioned, we created them with the goal of helping you whenever you watch them again😊 Thank you for leaving such a thoughtful review!
Reviews 1
∙
Average Rating 5.0
5
This was so much easier to understand than my graduate school classes!! I wish you could teach at my graduate school!! This was extremely helpful as I prepare to write my thesis! I hope a lot of people watch this video!
Thank you so much for the positive feedback!! I dream of one day being able to teach a class at Aya's graduate school, and I will continue to work hard on my lectures!!
Reviews 1
∙
Average Rating 4.0
Reviews 1
∙
Average Rating 5.0
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