The World of Data Analysts I've Experienced (feat. Practical Tips, Mindset)

Name: The World of Data Analysts I've Experienced (feat. Practical Tips, Mindset)
Rating: 5 (5 reviews)

I share my experiences and insights as a data analyst at a leading tech company. I'll discuss practical tips on how I solved problems encountered at work and the mindset that data analysts should keep in mind.

(5.0) 5 reviews

58 learners

Level Beginner

Course period Unlimited

Gemma

Communication

Reviews from Early Learners

5.0

ㅎㅅ

100% enrolled

I also work as an analyst, and since the types of work requests are usually quite diverse, I used to spend a considerable amount of time planning analysis tasks, including report writing. However, this course has been very helpful in categorizing my work over the years. Also, the mindset you emphasized really resonated with me, and I was able to reflect on it once again. Although it's brief content, it seems to be a course that makes you think deeply and look back. Thank you for sharing.

What you will gain after the course

Practical Tips for Data Analysts
Data Analyst's Mindset

When you first start data analysis, you'll find yourself pondering questions like these:

I saw the metrics, but what decision should I make with this?
How do you determine whether B looks better in an A/B test because it's a real effect or just a coincidence?
Where should I even start when they tell me to find insights?
I analyzed it, but everyone is having trouble understanding my report

I share experiences and insights as a working data analyst.

I structured data analysis into four types: decision-making, discovery, prediction, and diagnosis, and will share experiences about what problems were solved and how they were approached.
Data analysis is a battle with oneself and a continuous process of trial and error. That's why mindset often shines more than skills and knowledge. I'll share the mindset that data analysts should keep in mind.

Recommended for
these people

Who is this course right for?

# Job Seeker Curious About Data Analysts
A new employee who has just started working as a data analyst

Hello
This is

943

Learners

118

Reviews

Answers

4.9

Rating

Courses

I'm Gemma, a data analyst who started in mathematics, moved into a developer career, and eventually settled into my current role after studying statistics. In data analysis, the most important thing is identifying fresh insights and trends within the overflowing sea of big data. That’s easier said than done, right? However, if you can utilize the right analysis tools and methods, anyone is capable of discovering valuable gems. I would like to share these methodologies with you.

(Current) Data Analyst at LINE Plus
(Former) NAVER Data Analyst
MS in Applied Statistics, Politecnico di Milano, Italy
Bachelor of Science in Mathematics, Ewha Womans University (Double Major in Computational Science, Minor in Computer Science)
https://blog.naver.com/italian-lesson
(Personal Blog)
MS in Applied Statistics, Politecnico di Milano BS in Mathematics, Ewha Womans University (Double Major in Computational Science, Minor in Computer Science) https://blog.naver.com/italian-lesson (Personal Blog)

Curriculum

All

7 lectures ∙ (31min)

Section 1. The 4 Types of Data Analysis

5 lectures ∙ (22min)

1. Intro
01:55
2. Type 1: Decision-Making Analysis
06:11
3. Type 2: Discovery Analytics
05:45
4. Type 3: Predictive and Generative Analytics
03:33
5. Type 4: Diagnostic Analysis
05:20

Section 2. # Data Analyst's Mindset

2 lectures ∙ (8min)

Published:

Last updated:

Reviews

All

5 reviews

5.0

5 reviews

wookyyyy1132
Reviews 2
∙
Average Rating 5.0
5
43% enrolled
gah01079038
Reviews 1
∙
Average Rating 5.0
5
43% enrolled
mit59592865
Reviews 1
∙
Average Rating 5.0
5
86% enrolled
cold23538
Reviews 3
∙
Average Rating 5.0
5
100% enrolled
I also work as an analyst, and since the types of work requests are usually quite diverse, I used to spend a considerable amount of time planning analysis tasks, including report writing. However, this course has been very helpful in categorizing my work over the years. Also, the mindset you emphasized really resonated with me, and I was able to reflect on it once again. Although it's brief content, it seems to be a course that makes you think deeply and look back. Thank you for sharing.
calculator
Reviews 113
∙
Average Rating 4.9
5
75% enrolled
I learned about what data analysts do.

Free

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