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AI, ChatGPT, prompt engineering
Statistics Analysis Master Class
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!
Statistics
Statistics
Reviews from Early Learners
4.5
5.0
MUKAI IKUHO
19% enrolled
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
100% enrolled
(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
11% enrolled
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!
What you will gain after the course
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!
-
- Since this is a practice-oriented course, it is recommended to prepare a dual monitor or an extra device so you can separate the lecture screen from the practice screen.
- Since the practice sessions are conducted on Windows OS, we recommend taking the course in a Windows environment.
- The lecture materials and practice files are located in the <99 Textbook Download Center> section at the very bottom.
The fundamentals of data analysis
begin with statistical knowledge.
- It is useful in real life.
Did you know that our daily lives are immersed in statistics? Through statistics, you will be able to find answers to the issues that occur in our daily lives! - Rational thinking becomes possible.
You will learn how to focus on the meaning behind the numbers, rather than seeing them as mere digits. - You can distinguish between what is real and what is fake.
Why do articles covering the same issue have different stances? Now, you can interpret the statistics yourself to discover the real stories. - Data-driven decision-making becomes possible.
Company B's monthly sales are said to be 30 million won. Is 30 million won actually a good performance? You can use statistics to provide an answer to this question.
To what extent can an increase in cigarette prices reduce smoking among teenagers?
How much does vocational training increase re-employment rates?
Does an increase in foreign direct investment improve the economic growth rate? You can judge such questions based on data.
Recommended for these people ✨
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
Unique Features of This Course 🔷
#1.
Build a solid foundation!
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!
#2.
Statistical Analysis Lecture
Combined with Practical Work
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.
#3.
Winning Business Strategy
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.
- Descriptive statistics and visualization skills to read and summarize collected data
- The ability to predict future data through probability and inference
- Various statistical analysis capabilities such as Chi-square test, T-test, and regression analysis
- The ability to find the optimal way to solve real-world business questions.
Learning Content 📚
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
여러 변수 간의 관계도 한 눈에!
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
Anticipated Q&A 💬
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.
About the Instructor ✒️
Recommended for
these people
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"
Hello
This is Masocampus
11,101
Learners
1,593
Reviews
136
Answers
4.7
Rating
108
Courses
"I will grow more than yesterday. And, I will help those who strive to grow more than yesterday."
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This precious experience and time are always the source of growth for both Maso Campus and our students.
The Miso Campus team strictly adheres to two principles for the growth of us all. 1. Actionable Content that can be put into practice immediately after learning. 2. Respecting the time and effort of participants.
The Miso Campus team strictly adheres to two principles for the growth of us all.
1. Actionable Content that you can actually use after learning 2. Time-Saving Curriculum that respects the participant's time and effort Grow with Miso Campus's Actionable and Time-Saving Curriculum
1. Actionable Content that you can surely use once you learn it
2. Time-Saving Curriculum that respects the time and effort of participants
We hope you will walk the path of growth together with Masocampus's Actionable and Time-Saving Curriculum.
We hope you will walk the path of growth together with Maso Campus's Actionable and Time-Saving Curriculum.
Curriculum
All
88 lectures ∙ (20hr 3min)
Course Materials:
Lecture resources
Published:
Last updated:
Reviews
All
25 reviews
4.5
25 reviews
karrna177369Reviews 1
∙
Average Rating 5.0
5
11% enrolledThis 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!
- masocampusInstructor
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!!
- musoble
Reviews 3
∙
Average Rating 4.7
5
60% enrolledThank you for the detailed and kind lecture.
- masocampusInstructor
Thank you for leaving a review! 😊 It's rewarding to know that my hard work paid off. Maso Campus will always do its best!
- yji09030350
Reviews 89
∙
Average Rating 4.5
5
98% enrolledI think I'm starting to get the concept...
- masocampusInstructor
Thank you for leaving a review. We are glad that it was helpful!
- ikuho11108900
Reviews 1
∙
Average Rating 5.0
5
19% enrolledAs 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!!!
- masocampusInstructor
Thank you for leaving a review!! Please continue to support MASOCAMPUS lectures, which will continue to grow!!
- sangmanjung4574
Reviews 4
∙
Average Rating 5.0
5
100% enrolled(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.
- masocampusInstructor
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!
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