Basic Python with ChatGPT for Data Analysis Beginners

"From environment setup to practical business projects, a data science journey to find revenue answers through data (39 lectures in total)." Go beyond simply learning how to use libraries and learn how to cook real-world e-commerce data through the data science process. Starting from development environment setup and Numpy/Pandas basics to data preprocessing, statistical analysis, visualization, and business scenario-based RFM segmentation and hypothesis testing! Systematically master the core competencies of a data scientist through practical projects.

This course focuses on developing immediately applicable visualization skills by utilizing Seaborn, a core tool for data visualization, and Plotly/Dash for building interactive dashboards. Through various hands-on exercises, you can simultaneously improve your ability to create insight-driven visual materials and implement web-based dashboards.

In Part 3 of Creating a Python Trading Room for Quant Investment, you will learn about portfolio theory and concepts necessary for real investment, as well as how to implement them with code. In Parts 1 & 2, you mainly learned about code implementation methods for analyzing financial data, and in Part 3, you will learn about 'portfolios', which are an important part of quantitative investment. With the question of why you should create a portfolio, you will learn portfolio theory, implement it in Python, and practice the code necessary for real portfolio investment. I hope this lecture will be helpful for your own portfolio investment.

You can learn various ways to use Excel to adjust, clean, and collate data brought in from outside, as well as how to extract, separate, and transform data from a single cell.

A course to understand and practice machine learning for efficiently conducting complex analysis and predictions! Even machine learning, which may seem difficult and complex, can be easy and fun to master with Masocampus's <Python Machine Learning>.

Learn how to aggregate and analyze data using PivotTables in Excel 2013.

Learn how to aggregate and analyze data using PivotTables in Excel 2016.

Artificial Intelligence is transforming the way professionals work with data. Microsoft Copilot in Excel allows you to analyze, clean, format, automate, and optimize spreadsheets faster than ever before. But using Copilot effectively requires more than just typing prompts — it requires understanding Excel fundamentals, structured thinking, and prompt engineering. This course gives you exactly that. You will learn how to combine Excel expertise with AI-powered automation to dramatically improve productivity, accuracy, and workflow efficiency. What You Will Gain From This Course • Save hours every week using AI-driven Excel automation • Analyze large datasets in seconds using Copilot • Clean and fix messy data effortlessly • Write powerful formulas with AI assistance • Master prompt engineering for Excel Copilot • Build professional reports and dashboards faster • Improve decision-making with AI-powered insights • Optimize workflows for real-world business scenarios By the end of this course, you will not just “use” Copilot — you will control it. What This Course Covers Foundations What is Microsoft Copilot How to activate and use Copilot in Excel Introduction to Excel basics and navigation Data types and conversions Data entry and validation techniques Excel Core Skills Mathematical, logical, and time functions Nested functions for complex calculations Combining logical and LOOKUP functions Conditional statements and formatting Pivot tables and advanced formatting Data Analysis with Copilot Data general analysis and Q&A Sorting, filtering, and profiling data Handling and fixing missing data Identifying and correcting common data errors Transposing data for trend analysis Date-time formatting techniques AI-Powered Excel Automation Generating synthetic data Adding formula columns with Copilot Subtotals and advanced calculations Optimizing workflows using Copilot Enhancing data presentation Editing spreadsheets intelligently Prompt Engineering for Excel Copilot Writing effective prompts Advanced prompt engineering techniques Evaluating prompt performance Optimizing prompts for better results Customizing Copilot for improved outcomes Real-World Application Creating a travel budget using Copilot Practical exercises and activities Performance evaluation and improvement strategies Why This Course Is Different Most Excel courses teach formulas. Most AI courses teach theory. This course bridges both. You will learn Excel fundamentals and advanced skills alongside AI-powered Copilot usage. That combination makes you significantly more productive than someone who only knows Excel or only knows AI prompts. This course is structured for clarity, practical application, and real-world efficiency. Who This Course Is For • Business professionals who work with Excel daily • Data analysts and aspiring analysts • Managers who want faster reporting • Students preparing for corporate roles • Entrepreneurs handling business data • Anyone who wants to leverage AI inside Excel No prior AI experience is required. Excel basics are covered before advancing into automation and Copilot optimization. Why You Should Enroll Today Microsoft Copilot is becoming a core productivity tool across organizations. Professionals who understand how to use AI effectively inside Excel will have a measurable competitive advantage. Instead of spending hours writing formulas, cleaning data, or building reports manually, you will learn how to work smarter. If you want to future-proof your Excel skills and become significantly more efficient with data, this course is for you. Enroll now and master Microsoft Copilot in Excel with confidence.

This course focuses on developing practical visualization skills that can be immediately applied in the workplace by utilizing Seaborn, a core tool for data visualization, and plotly/Dash for building interactive dashboards. Through various hands-on exercises, you can enhance both your ability to create insight-driven visual materials and implement web-based dashboards.

Now display Python results as web pages! You can create your own web page using only Python. This is an opportunity to create an Interactive Dashboard that allows you to check results created with Python, such as data analysis and machine learning, on a web page!

Analyzing customers, markets, and revenue patterns—you no longer need to learn it yourself. Just ask AI, and expert-level analysis and strategies are completed in an instant!

The Intermediate Python course is designed to deepen your understanding of Python by covering advanced topics such as functional programming, metaprogramming, exception handling, and object-oriented programming.

We explain 32 data visualization techniques very quickly and easily from a non-expert's perspective!

In this class, you will learn techniques for retrieving (crawling) and processing data from various operating sites using Python, and apply them directly to various examples that you may encounter in the field. Through this, you will learn techniques that focus on solving practical problems based on an understanding of the basic principles of how the web works, rather than one-dimensional task automation by copying and pasting given codes, and accordingly, you will be able to collect and process data from any site in the future. You will also learn how to resolve various exceptions that occur in this process with code, and ultimately, you will be able to solve and automate various problems that occur in daily life with programming thinking.

Revolutionize your stock investing with AI! In this course, you will directly build a functional AI automated trading system targeting the top 25 Nasdaq stocks. We provide a special opportunity to gain experience and know-how through mock trading using the Korea Investment & Securities API, and then transition to AI automated trading with a real account. Even stock market beginners will have no problem. We explain basic stock concepts and the reasons why you should invest in US stocks in an easy-to-understand way, while providing all source codes and even remote support. From now on, investing is essential for the next 60 years of our lives. Create your own AI investment partner to join you on this journey!

This course is for both beginners who have never been exposed to programming before and those who have some theoretical knowledge about Python. The main purpose of the course is to create interest and enjoyment in Python based on real projects. I hope that through this course, you will gain more ideas and have more fun with Python.

Here are some key competencies that are often overlooked by others in the fiercely competitive and complex semiconductor process job market.

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

This is a basic Python Excel programming course learned through an xlsxwriter tutorial. You can analyze data and automate tasks using Python and Excel.

🚀 Practical AI Anomaly Detection with Databricks! 💡 Stop using expensive and slow models! From large-scale data optimization to real-time deployment, complete an anomaly detection AI that can be used immediately in corporate practice.