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Mathematics

Statistical Analysis Master Class

Now is the time to answer based on data rather than experience! If you quantify the reliability with statistical knowledge and present it as evidence, your persuasiveness will increase infinitely!

(4.5) 19 reviews

150 learners

  • Masocampus
통계
데이터분석
수학
Statistics

Reviews from Early Learners

What you will learn!

  • Descriptive statistics and visualization skills to read and summarize collected data

  • The ability to predict future data using 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 problems (Business Questions)

Learn statistics that can be applied directly to reality.
Discover statistical principles in life! 📈

🔹Please check before taking the class!

    • Since this is a practice-oriented lecture, it would be a good idea to prepare a dual monitor or extra device that can separate the lecture and practice screens.
    • Since the training will be conducted on Windows OS , we recommend taking the course in a Windows environment.
    • Lecture notes and practice files are available in the <99 Textbook Download Center> section at the bottom.


The basics of data analysis
It starts with statistical knowledge.

  • Useful in real life.
    Did you know that our daily lives are steeped in statistics? Statistics can help us find answers to the issues that arise in our daily lives!

  • Rational thinking is possible.
    You will learn to focus on the meaning behind numbers, rather than just looking at them as numbers.

  • You can distinguish between real and fake.
    Why do articles on the same issue have different stances? Now you can directly interpret the statistics to identify the true article.

  • Data-driven decisions are possible.
    Company B's monthly sales are said to be 30 million won. Is 30 million won really a good result? You can use statistics to answer this question.
    To what extent can raising cigarette prices reduce smoking among young people?
    How much does job training increase re-employment rates?
    Data can be used to determine whether increased foreign direct investment leads to higher economic growth rates.


I recommend this to these people ✨

I'm scared of math, so I'm into statistics
Anyone who felt a barrier

Data analysis project
Those who want to develop planning skills

Apply statistical analysis directly to practice
For those who want to apply and find insights

Business analytics capabilities
People who want to cultivate


Unique features of this course 🔷

#1.
Build a solid foundation!

This course is designed to provide step-by-step learning of statistical knowledge that can be applied continuously in practice. The moment you master the statistical knowledge necessary for practical work, you'll master the use of analytical tools and generate business insights that drive results. Learn practical statistics once and apply them consistently!

#2.
Combined with practical
statistical analysis lecture

We begin by organizing the most fundamental statistical concepts, from data types to variance and standard deviation. This course is more than just a guide, but rather a guide that helps you understand the concepts through examples that incorporate business cases. By solving practical examples, you'll gain a solid understanding of both statistics and practical applications without getting bored.

#3.
Winning Business Strategy

By focusing on practical BQs rather than theoretical statistical analysis, you can immediately develop project understanding and planning skills. This time-saving, actionable curriculum reduces the inefficiency of memorizing theory and applying it to practice, focusing on examples and hands-on practice.

💡 After taking the Statistical Analysis Master Class, you will be able to acquire these skills.

  • 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 problems (Business Questions)

What you'll learn 📚

Data bootstrapping
Let's check the uncertainty of the estimates by quantifying it.

Central limit theorem
Provides a probabilistic basis for estimating population parameters.

One-way ANOVA
Between one dependent variable and one independent variable
Want to figure out the relationship?

Practical Project
Now it's time for the real thing, the factors that affect sales.
Let's discover and grow your sales!

Drawing a scatter plot
See the relationships between multiple variables at a glance!

Box and whisker plot visualization
When you want to see only the important values obtained from the data at a glance!

Linear regression analysis
The hypothesis I made... is it true?
Now we can talk about 'real' data.

Practical Project
Let's learn statistics that can be used in real life!
Get familiar with statistics through various practical projects.


Expected Questions Q&A 💬

Q. Can I follow the lecture without basic statistical knowledge?

This course begins with an introduction to the most fundamental terms and concepts, from data types to variance and standard deviation. It uses everyday examples to help you understand each concept, and it even goes so far as to explain effective visualization methods tailored to your analysis goals and data. Whether you're struggling with statistics or a beginner, this course is suitable for everyone!

Q. Do I need to be proficient in Excel to follow the class?

You don't have to worry about your Excel skills being lacking, as we go through each and every button you need to click.

Q. Basically, do I need to be good at high school math to be able to take the course?

This course breaks the stereotype of traditional statistics lectures that require students to sit through boring mathematical concepts. It's a course filled with Masocampus' unique expertise, developed with a focus on essential application skills. You can take it without any worries.


Introducing the Knowledge Sharer ✒️

Recommended for
these people

Who is this course right for?

  • People who were afraid of math and felt a barrier to statistics

  • Those who want to develop data analysis project planning skills

  • Non-majors who want to understand statistics properly through practice

  • For those who want to find insights by directly applying statistical analysis to their work

  • Anyone who wants to develop business analytics capabilities and combine data science with business decision making

  • People who dream of “starting a business/joining a company/changing jobs/re-skilling/talent transformation”

Hello
This is

7,312

Learners

907

Reviews

96

Answers

4.7

Rating

87

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Curriculum

All

88 lectures ∙ (20hr 3min)

Course Materials:

Lecture resources
Published: 
Last updated: 

Reviews

All

19 reviews

4.5

19 reviews

  • ikuho11108900님의 프로필 이미지
    ikuho11108900

    Reviews 1

    Average Rating 5.0

    5

    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!!!

    • masocampus
      Instructor

      Thank you for leaving a review!! Please continue to support MASOCAMPUS lectures, which will continue to grow!!

  • karrna177369님의 프로필 이미지
    karrna177369

    Reviews 1

    Average Rating 5.0

    5

    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!

    • masocampus
      Instructor

      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!!

  • sangmanjung4574님의 프로필 이미지
    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.

    • masocampus
      Instructor

      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!

  • batman02285857님의 프로필 이미지
    batman02285857

    Reviews 1

    Average Rating 5.0

    5

    31% enrolled

    • nrkim8953님의 프로필 이미지
      nrkim8953

      Reviews 4

      Average Rating 5.0

      5

      100% enrolled

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