We Need to Talk!

Summary

In this video, the speaker discusses the affordable pricing of a data science course, emphasizing its accessibility for students from various backgrounds. The course is priced much lower than similar offerings, ensuring it can benefit students from all walks of life. The speaker also addresses common confusion around course materials, including the availability of Jupyter Notebooks and handbooks at the end of each section. The video aims to clarify these points and invites feedback from viewers on the course pricing, with a focus on helping students progress in their learning journey.

Takeaways

• 😀 The course is designed to be accessible to as many people as possible, especially students from lower-income backgrounds.
• 😀 The course is priced at a minimal rate to make it affordable compared to other data science courses that typically cost Rs 10,000-20,000.
• 😀 Feedback from students is encouraged to determine if the price should be adjusted, with the possibility of raising it to Rs 4499 if there's demand.
• 😀 Students will receive Jupyter notebooks and other resources at the end of each course section, including a handbook for each topic.
• 😀 The course provides downloadable source code, which can be easily accessed and copied by students for further use.
• 😀 The handbook for each section is available for download at the end of that section, and students are encouraged to download it after completing the section.
• 😀 The video aims to clear up confusion for students, particularly regarding the availability of resources like the Jupyter notebook and handbooks.
• 😀 The speaker emphasizes that students should not worry about downloading handbooks before completing the relevant course section.
• 😀 There is a strong focus on the overall student experience, with the speaker expressing that their happiness comes from student success and satisfaction.
• 😀 The speaker mentions that the video was delayed but is now necessary to address common student questions about course resources and pricing.
• 😀 The speaker invites students to leave feedback and comments about the course, particularly on the pricing and resources provided.

Q & A

Why has the instructor priced the course at such a low cost?

The instructor has priced the course at a bare minimum to make it accessible to a wide range of students, especially those from middle and lower-middle-class backgrounds. The goal is to ensure that as many people as possible can benefit from the course and learn data science.

What is the typical price range for data science courses in comparison to this course?

Typical data science courses usually cost between Rs 10,000 to Rs 20,000, but this course has been priced much lower to ensure accessibility for more students.

What happens if viewers think the course price should be increased?

If viewers feel that the price should be increased, they are encouraged to leave a comment. If enough people express that sentiment, the instructor will raise the course price to Rs 4499.

What resources will students have access to during the course?

Students will have access to Jupyter Notebooks, source code, and handbooks for each section of the course. These resources can be downloaded and used to follow along with the lessons.

When will students be able to download the handbook and Jupyter Notebook?

The handbook and Jupyter Notebook will be available at the end of each section. Students can download them after completing a section of the course.

Why does the instructor emphasize downloading resources only after completing a section?

The instructor emphasizes downloading resources only after completing a section because it is unnecessary to do so before finishing the lessons. Completing a section ensures students have the context needed to make full use of the materials.

How will the source code be made available to the students?

The source code will be made available below the video lectures. Students can simply copy the code from the provided section while watching the video.

What was the instructor's hesitation in making the video?

The instructor was initially hesitant to make this video because they did not want to create such content on the channel. However, they ultimately decided it was necessary to clear up confusion and clarify important points about the course.

What is the purpose of the video message?

The purpose of the video is to address common questions and confusion from students, clarify details about the course resources (like handbooks and Jupyter Notebooks), and encourage feedback on the course pricing.

What is the instructor’s attitude towards student feedback?

The instructor values student feedback greatly, as evidenced by their willingness to adjust the course price based on comments from viewers. They express that their happiness lies in the happiness of the students and are open to making changes if it benefits the learners.