Pandas for Data Analysis: From Basics to Data Analysis

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.

Inflearn's SQL intermediate course by Datarian, with over 30,000 cumulative students and extensive online/offline teaching experience. Learn intermediate SQL theory and solve 20 practice 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.

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.

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!

I've worked at seven small startups that had neither data analysts nor user researchers, and I've made plenty of mistakes along the way. I'll share the various real-world challenges that UX designers face and the valuable 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.

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

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

Did you know that there are different types of data analysts? If you want to know everything about in-house data analysts and consulting data analysts, come to this seminar!

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.

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

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!

In the cookie-less era, how will marketing change? If you don't know how to start marketing performance analysis, attend the November seminar.

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!

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

How can data be leveraged in side projects? Hear the stories of 'Geumim' and 'Skull' at this seminar!

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!

Have you switched to GA4 but feel lost on how to use it? By learning three principles for effective data viewing and practical GA4 examples, you can immediately apply them to your work starting tomorrow!

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!

The fact that you can analyze data more easily and effectively with Python Pandas instead of Excel! Learn the basic functions of the Pandas library and how to use it in practice through financial data analysis.

This course is for those who have learned the basic grammar of Python and will learn the core skills used in text data analysis. I hope that those who are interested in text analysis will gain more ideas through this course and use it for a long time.

From Python fundamentals to practical data analysis! You will learn practical Python skills for processing, visualizing, and analyzing data while solving business problems.

In this class, you will learn about the principles and methods of analyzing and processing various types of financial data using Python's Pandas library, apply them to situations you may encounter in the real world, and ultimately learn how to implement backtesting based on financial statement data (based on Kang Hwan-guk's book, "You Can Do Quant Investment"). As a result, you can break away from being a "passive investor" who simply follows what others say without verifying or basing the investment logic, and become a "self-directed and active investor" who can freely extract various elements necessary for strategy implementation from data and quantitatively analyze them using Python and Pandas.

* 100% Practical Curriculum: Focused on hands-on data handling rather than grammar-based learning * Essential Machine Learning Prep: A complete summary of data preprocessing techniques required before AI training * Data Analysis Tool Mastery: Conquer core functions of Numpy (numerical operations) and Pandas (data manipulation) * Deriving Visualization Insights: Transferring data visualization skills using Matplotlib and Seaborn * Building Statistical Foundations: Learning basic statistics and group analysis techniques to identify data characteristics

Learn a systematic approach to S&P 500 pair trading with Python. Lay the foundation for an investment strategy that excludes emotions through professional data analysis.

With Python Quant Investment, you can create investment strategies based on data and invest according to the strategy. You can implement various asset allocation strategies and ultimately create your own investment strategy.

We guide non-majors and beginners to quickly obtain the Big Data Analytics Engineer practical certification! Theory lightly, practice thoroughly - even without complex background knowledge, we focus on learning only the essential points that appear on the exam, centered around past exam questions.

Let's learn how to collect data from the web and create a supervised learning model for machine learning!

A course to understand and practice machine learning that efficiently performs complex analysis and prediction! Machine learning, which seemed difficult and complicated, can be easily and enjoyably learned in its core with Maso Campus' <Python Machine Learning>.

Based on the instructor's own failed experiences when first learning machine learning, this is a newly designed course that differs from existing lectures, making it easy to understand machine learning and apply it to real-world problems