Data Analyst, Which Company Should I Go to? [Datarian Seminar Replay | July 2024]

Inflearn cumulative students of over 30,000, Datarian's advanced SQL course with extensive online/offline teaching experience. Learn advanced SQL theory and solve 25 practice problems together.

Inflearn cumulative students over 30,000, Datarian's SQL basics course with rich online/offline teaching experience. Learn SQL basic theory and solve 10 SQL problems together.

Solve 25 SQL problems of various difficulty levels. This is the Advent of SQL 2024 explanation lecture. Upon finishing the lecture, you can complete the Advent calendar and obtain a badge.

I have worked at seven different small startups that had neither data analysts nor user researchers, and I've stumbled through various trials and errors. I will share the many realistic challenges a UX designer can face, along with the deep insights I gained while navigating through those difficulties.

No developers needed! No coding knowledge required. I'll show you how anyone can easily install GA4 with just a few clicks.

Solve 25 SQL problems of varying difficulty levels. This is a commentary lecture for Advent of SQL 2025, and upon completing the course, you can finish the advent calendar and earn a badge.

Practitioners who are curious about how other companies conduct funnel analysis, gather here! Meet the case of the global No. 1 alarm app, ‘Alarmy’, with 75 million cumulative downloads.

Portfolios are an essential element for landing a job as a data analyst! If you've been feeling overwhelmed about how to prepare, get some tips from this seminar.

If you're curious about how others are actually practicing the 'data-driven decision making' you've only heard about, come listen to our July seminar!

It's not hard to create a resume with Notion. With a friendly guide, you can create a resume that you can complete from start to finish while sitting down!

If you are thinking about using data in your work, get some great tips from this seminar.

Have you ever seen an actual resume used by a data analyst when applying for jobs? Here are all the resume writing tips from analysts who successfully landed jobs as non-majors!

If you are worried about where to start and where to start studying because you need to take a SQL coding test to become a data analyst, then come to this seminar!

If you are curious about the various possibilities and future prospects of generative AI, including ChatGPT and Clova X, that can be used for data analysis, come to our seminar this May!

Are you worried about whether you can become a data analyst as a non-major? Hear from a non-major senior analyst!

How can performance be measured in offline advertising? From how to measure the performance of elevator TV ads, to the commonalities and differences in data observed in online/offline marketing! Hear about it at this October seminar!

How can data be used in content marketing? At this May seminar, you can hear case studies from data analysts on using data from company blogs and newsletters!

How do IT startups make data-driven decisions? At the April seminar, you can hear examples from DataLean and Postype!

Where and how should you start preparing to get a job as a data analyst? From data analysis project know-how to the job search experience of senior data analysts! You can hear it all at this February seminar.

We share the case of Datalian, founded by 4 data analysts, on how they analyze data, configure dashboards, and utilize data for action!

If you are preparing for a data analyst job or career change and were curious about hearing from someone in the field, ask a data analyst anything!

Portfolios are an essential element for landing a job as a data analyst! If you've been feeling overwhelmed about how to prepare, get some tips from this seminar.

We will reveal the actual data analysis portfolio of successful job seekers and the portfolio-related questions they received during interviews!

Data analyst job prep: Lost on where to begin? Get hints at this September seminar!

We guide non-majors and beginners to quickly obtain the Big Data Analysis Certification (Practical Exam)! Keep the theory light and the practice solid—focusing on core points that are guaranteed to appear on the exam through past questions, without the need for complex background knowledge.

The most definitive way to build the backbone of your data No more fragmented knowledge. From DAsP (Data Architecture Semi-Professional) certification to practical modeling skills, this is the single most perfectly structured masterclass. "Are you still relying on piecemeal memorization for data modeling?" The ability of an 'architect' to translate complex business requirements into clear data structures is the most irreplaceable weapon in the IT ecosystem. This course goes beyond simply passing a certification; it provides practical insights to see through the enterprise-wide data flow.

Let's use the R language, which processes data easily and conveniently, to help even non-computer science majors develop their skills in utilizing computer programs related to their own fields!

Master the Big Data Analysis Certification—an essential credential that is by no means easy to self-study—in a short period using R, an easy-to-learn data analysis tool!

SSIS, SSAS, MachineLearning, BI, ETL. You can learn important technologies that cannot be found in domestic books, YouTube, lectures, blogs, and academies. I also recommend it to those who are interested in employment at domestic large companies, American large companies, and American state funding agencies.

Do you want to get a job as a data analyst? Based on my experience, let's take a look at the tasks for each data role in real companies.

"Big Data + AI Full Stack Development" - The process of building big data that breathes life into AI is carried out in the form of a pilot project. We identify requirements, configure the platform step by step, and perform smart car data exploration and analysis.

Time Series: Become a Data Analysis Expert! Let's be analysts strong in theory & practice!

Finally, the Probability and Statistics course for everyone is here! Learn the principles of probability and statistics step by step through theory and coding practice. Reference book "Probability and Statistics for Everyone" https://wikidocs.net/book/18165

The chemical and fine chemical manufacturing industry is a sector that requires complex processes and high safety standards. This course covers strategies for leveraging AI to increase productivity, reduce costs, and enhance safety. You can systematically learn practical skills centered on AI application cases that can be immediately applied in actual field settings, including process data analysis, quality prediction, equipment predictive maintenance, and environmental regulation compliance.

Understand the core of big data business and provide insights on how to utilize it in marketing strategies in the field.

Learn how to process big data from a Silicon Valley software engineer & how to develop big data code with Apache Spark using Python. I am a 14-year software developer who handles everything from web applications to big data and SRE & DevOps with Python. Don't miss this opportunity to learn about Apache Spark, which is essential for big data professionals, in an easy and in-depth way using Python!

It covers basic data concepts, useful R functions and packages, and data analysis exercises, to allow anyone to perform big data analysis using R programming.

We explored the essential Python syntax necessary for big data analysis and, through various examples, presented methods such as big data file processing and visualization.

This is a practical project lecture that collects data and analyzes big data using Arduino and wind sensors.

Repetitive pipeline management in Data Warehouses (DW), now free yourself from that painful cycle with dbt! Building on the efficiency provided by dbt, become a data analytics engineer who creates higher value through business-centric data modeling, effective data lifecycle management, and more.