[A Hundred Words are Not as Good as Seeing Once] SQL Practical Guide for Data Analysis (Free Mini Course)

Hello students :)

 

Datalian has launched a Python basics course called < Python for Data Analysis: From Introduction to Tips >! 🥳

And now that we are having a 30% opening discount, I am here to tell you all about it. (Now, the maximum discount that a knowledge sharer can set on Infraon is 25%. The 30% discount is only available for lecture openings or special events!)

 

We uploaded our first lecture to Infraon in early 2020. Since then, many people have sent us emails asking, "When will the Python basics lecture be uploaded?" and have requested it.

I really wanted to give a Python lecture, but since it is such a general-purpose programming language, I had a lot of concerns about how to teach it so that students can learn the necessary functions more efficiently. That's why I made the plan longer. I'm finally saying hello...

Until now, I have recommended books or lectures written by other people other than our lectures, but now I am happy that I can confidently say , "What should I study Python with?" "Study with Datalian lectures!"

 

This course is designed to be perfect for those who are studying Python for the purpose of 'data analysis' . It is a course that boldly omits installation and other processes so that even those with no prior knowledge can easily get started, and focuses on learning the 'programming language'.

Each lecture is usually about 6 to 15 minutes long, so you can listen to it in an easy manner.

 

At the end of the course, you will be able to experience 'Pandas', a library for handling table data, and 'Scikit-learn', the most famous and widely used machine learning package. You will be able to create a classification model that automatically classifies handwritten digit images within a 30-minute tutorial .

And those who have taken our lectures before will know our style. We have also prepared a lot of practice problems . After listening to the theory lecture, you will be able to have fun reviewing and applying the lecture content by solving the practice problems right away.

 

Thank you for purchasing the course, leaving a review, and supporting me. I will continue to create more courses that are helpful and make you think, 'I want to grow more!' and 'I want to do better!'

 

Datalian Python Team Dream