CodeWithHarry - Biggest Announcement!!! ЁЯУвЁЯУвЁЯУв
The speaker shares their journey from struggling with English and programming to creating a successful YouTube channel and a new data science course. They emphasize the demand for data science skills in the AI era and the lack of effective courses online. The course is designed to be comprehensive, updated, and practical, with real-world projects and continuous updates. It aims to prepare learners for internships and placements, addressing the gap in quality data science education. The course includes a Python refresher, real-world projects, and covers essential libraries like NumPy and Pandas. It is priced affordably with an early bird discount and offers a signed certificate of completion to aid in job applications.
Key Points:
- Data science skills are in high demand, especially in the AI era, with job opportunities expected to grow.
- Existing online courses often lack depth and practical application, leading to 'tutorial hell.'
- The new course offers real-world projects, continuous updates, and a comprehensive curriculum.
- The course includes a Python refresher and covers essential libraries like NumPy and Pandas.
- Priced at тВ╣4499 with an early bird discount, it offers a signed certificate of completion to enhance job prospects.
Details:
1. ЁЯМЯ From Insecurity to Inspiration: Starting the Journey
1.1. Initial Challenges and Language Barriers
1.2. Discovery of Accessible Resources
1.3. Contribution to Community Learning
2. ЁЯЪА Achieving Milestones: Growth and Impact
- The channel rapidly expanded its subscriber base, surpassing a thousand subscribers quickly due to engaging live streams.
- Viewership numbers surged to millions, reflecting substantial growth and audience engagement.
- A key motivation was to provide unique educational experiences, contributing to the channel's significant impact.
- A clear strategy of frequent and interactive live content was pivotal in driving both growth and impact.
3. ЁЯФН Creating an Impactful Data Science Course
- The course aimed to significantly impact learners' careers and personal growth, emphasizing the relevance of data science in the current AI-driven era.
- Planning began 8 months ago, focusing on strategically incorporating skills that are in high demand.
- The course was designed to align with market needs by focusing on practical applications and real-world data science problems.
- By integrating industry trends and feedback, the course ensures learners acquire skills that enhance their employability and career advancement.
4. ЁЯУИ The Ever-Growing Demand for Data Science
4.1. Strong Market Demand for Data Science
4.2. Challenges in Data Science Education
5. ЁЯОи Crafting a Unique and Comprehensive Course
- The creator identified a gap in the market for a well-organized data science course, addressing the issue of existing courses being lengthy, filled with 'fluff,' and lacking engagement.
- In response, a comprehensive data science course was developed in consultation with industry professionals, including those working internationally, ensuring relevance and quality.
- The course underwent a rigorous refinement process, where subpar videos were deleted and re-recorded, and significant resources were invested in production to enhance quality.
- Key features of the course include concise video content, practical examples, and international insights, making it engaging and informative.
6. ЁЯЫая╕П Real-World Projects: Bridging Theory and Practice
- The course is designed to add value at every second and is animated for better understanding.
- Significant hours were spent to make it a perfect data science explainer course.
- The course is comprehensive, updated, and will continuously be updated with new data science developments.
- It is not a one-time product; it is meant for continuous learning.
- The course aims to teach data science concepts in minimal time with maximum understanding.
7. ЁЯУЪ Structured Learning: Course Content and Tools
- The course is strategically designed to prepare participants for internships and placements, making it particularly suitable for college students aiming for placement opportunities.
- There is a growing demand for data scientists, leading to an increase in hiring as companies integrate AI into their processes and algorithms.
- The course focuses on practical, real-world projects rather than hypothetical ones, providing participants with hands-on experience that is directly applicable to the workplace.
- Initial components of the course include Anaconda installation, a Python refresher, and a personally designed real-world project to build practical skills.
- A comprehensive handbook is provided with the course, which was developed with significant time investment to enhance learning.
- Feedback indicates dissatisfaction with expensive courses ranging from INR 20,000 to 1,00,000, suggesting that such courses do not deliver enough value.
- Completion rates are higher for paid courses, as financial investment often increases the likelihood of course completion.
- The course begins with an introduction to data science, highlighting its importance and various applications across industries.
8. ЁЯФз Essential Tools: Python and More
- The course covers the use of Anaconda and Miniconda, which are crucial for managing Python environments in data science.
- Python is the preferred language for data science due to its versatility and extensive libraries like NumPy, which is explored in-depth during the course.
- A Python refresher is provided using Jupyter Notebook, tailored for data science applications.
- For beginners, a comprehensive 10-hour Python course is available for free, ensuring foundational skills are developed.
- The 'Coders of Delhi' project, designed by the instructor, offers a practical, engaging way to apply Python skills in real-world scenarios.
9. ЁЯЧУя╕П Flexible Learning Schedule and Access
- The course begins with foundations in pandas, business statistics, and probabilities, followed by machine learning and generative AI topics.
- A 10-hour Python course is available for beginners, featuring fresh content not found on YouTube, while a Python refresher is included for those with prior knowledge.
- Access is provided through a payment link leading to Razorpay, with email support for any issues regarding access or payment.
- Introductory videos are accessible immediately after purchase, with full course content available from 20th April 2025 and daily lectures uploaded thereafter.
- The course is designed for learner engagement with animations and is expected to be completed within 2 to 3 months, allowing flexible learning at one's own pace.
10. ЁЯОУ Career Opportunities: Navigating the Job Market
- The course is self-paced and suitable for students from first to third year, enhancing job readiness at any stage.
- Completing this course significantly increases hiring prospects, with examples showing competitive salary offers.
- A notable example is a data scientist role at VIT, initially offering 18 LPA, which rose to 22 LPA due to competitive hiring.
- The course is a comprehensive learning experience, developed over 8 months, with regular updates to ensure content relevance.
- Even without purchasing the course, data science learning is accessible through resources like YouTube, providing alternative pathways to skill acquisition.
11. ЁЯТ░ Affordable Learning: Pricing and Options
- The course aims to teach data science in 6 to 7 months with the learner's practice included, which might take longer if self-studied through books, YouTube, blogs, and documentation.
- The course is priced at тВ╣4499, which is considered one of the most affordable data science courses.
- An early bird discount is available, reducing the price to тВ╣2899 for a limited time until slots are filled.
- A signed certificate of completion will be provided, which can help in securing jobs and internships.