🐍📊 Start analyzing data with Python! Practical introductory course

“You need to analyze data in practice, but are you stuck with Python?”

AI and data education YouTube 'Cocker_Coker' From Python libraries frequently used in practice by instructors running Data preprocessing, visualization, and statistical analysisI'll easily let you know until!

Start by installing Python
Data preprocessing, statistics, visualization, and even the basics of machine learning!
Data set collection methods and methods that can actually be used
I'll even show you how to create a dataset using AI.

At the end, close to practice Data analysis mini-projectIt will also be carried out together.

Would you like to learn about data analysis with me in an easy and fun way? 😊

👇 Data analysis projects

👇 Solve example problems

👇 Machine learning tuning

🤖 Why you should take this course 🧑🏻‍💻

1. Data analysis is easier than you think

Even if you only know how to handle Excel, OK! I'll teach you everything from the basics so that even beginners can understand it. Those who are new to analysis are also welcome.

2. Only “really useful” content that is directly applied to practice!

We reduced unnecessary theories and focused on analysis tools and examples that can be used directly in actual business.

3. Practical know-how directly delivered by “Cocker” revealed!

Based on numerous project experiences, I will generously share the key points and tips of data analysis. Bring along insights that are relevant to the field.

👩🏻‍🏫 5 reasons why this class is special 💻

1. Curriculum optimized for practical use

Beyond simple theory Python libraries, data preprocessing, visualization, and statistical analysis techniques commonly used in actual workIt's designed so you can learn to listen. If you want skills that can be applied directly to the business, this class is the answer.

2. Direct lectures from AI and data education experts

AI and data education YouTube Instructors who run “Cocker_Coker” teach directlyI will. Experience firsthand the instructor's know-how to solve complex data analysis in an easy and fun way.

3. Providing hands-on experience from data collection to generation

How to collect datasets that can actually be usedOf course, it's the latest trend How to create datasets using AII will let you know until You can develop a sense of reality by handling and creating data yourself.

4. Solid to the basics of machine learning

Beyond data preprocessing, statistics, and visualization Machine learning basicsIt covers up to It provides a solid foundation for those who dream of expanding beyond data analysis into the AI field.

5. Complete a portfolio with hands-on mini-projects

At the end of the lecture A data analysis mini-project that is close to practicePerform it directly. You can apply what you've learned to create actual results and complete your own portfolio through this.

🧑🏻‍💻 I highly recommend this course to people like this! 👀

🧑🏻‍💻 Non-majors, literature students, and beginner developers who are starting to analyze data for the first time

📈 Office workers who need data analysis skills that can be used directly in practice

💻 Those who want to learn everything from installing complex Python to collecting datasets and how to use AI all at once

🤖 Those who want to go beyond theory and complete their competencies with practical mini-projects

📚 Class review 🙇🏻

This is a vivid feedback from the students themselves!

🧑🏻‍💻 “It was easy to understand because of the good explanation. It helped me a lot in preparing the big data analysis article:)”

🧑🏻‍💻 “Programming is what SAS and SPSS do, so it's nice to be able to use markdown, and it was beneficial because it was a review!”

🧑🏻‍💻 “It was a useful lecture that made me realize once again the importance of data scaling... (later)”

💻 Study-related questions 🙋🏻

🧑🏻‍💻 Are sample files included?

👉 Yes, PDF example files and course datasets are provided for training.

🧑🏻‍💻 What are the eligibility requirements?

👉 Anyone can take the course without restrictions. It's better if you learn the basics of Python.

🧑🏻‍💻 Do I need to install a training program?

👉 Yes, Python and Jupyter Lab must be installed, and the course will show you how to install them.

🧑🏻‍💻 What level do you cover in the course?

👉 It covers everything from basic for beginners to intermediate levels that can be used in practice.

“Cocker” tells us to completely conquer the core of data analysis!

“Cocker” tells us to completely conquer the core of data analysis!