Brief Summary
This YouTube video by Apna College provides guidance on how to start a coding journey in 2024, particularly for beginners focused on placements. It outlines three major learning paths: C++/Java for data structures and algorithms (DSA), web/app development using HTML/CSS/JavaScript, and Python for data science/AI/ML. The video emphasizes the importance of practical learning, consistency, and a long-term vision, while also addressing common mistakes like procrastination and frequent breaks.
- Focus on practical learning and project building.
- Maintain consistency and avoid frequent breaks.
- Adopt a long-term vision for career success.
Introduction: Coding Journey in 2024
The session is designed for beginners in coding, whether they have a few months of experience or are just starting their programming journey in 2024. The video addresses two main categories of learners: those focused on placement preparation and those learning out of interest to build projects. For those learning out of interest, various paths like cybersecurity, DevOps, web development, app development, and blockchain development are available, with learning resources already on the Apna College channel.
Placement-Oriented Students and the 10x Difference
The session focuses on students preparing for internships and placements through coding. It highlights that learning with genuine interest can lead to a minimum of 10x improvement in results. The video identifies three major learning paths for placements: C++ or Java for DSA, development (HTML, CSS, JavaScript), and Python.
Three Major Learning Paths: C++/Java, Development, and Python
C++ and Java are excellent programming languages that take about 15-20 days to learn the syntax and logic, followed by a DSA journey involving 300-400 questions. Development involves learning front-end, back-end, databases (SQL, MongoDB), and Git, with the crucial step of picking a stack like MERN or MEAN and building numerous projects for practical learning. Python is comparatively easier to learn, taking about 7-10 days for the basics, after which learners can start with data science and AI/ML, building projects and learning machine learning algorithms like supervised, unsupervised, and reinforcement learning, as well as deep learning concepts.
Resources and Choosing the Right Learning Path
Apna College YouTube channel offers dedicated playlists for C++ and Java (covering both the programming language and DSA), one-shot videos for HTML, CSS, JavaScript, SQL databases, and GitHub, and comprehensive Python coverage in both one-shot and playlist formats. Students with ample time, such as those starting in their first or second year, can learn all three paths. DSA and development each require about 8-10 months, while Python for machine learning takes about 6-8 months. Students with less time should choose based on their target roles: DSA for product-based companies, development for off-campus software development jobs, and Python for data science/AI/ML roles.
Difficulty Levels and Roles in Each Learning Path
C++ and Java are slightly more challenging to learn initially compared to Python, but transitioning from C++/Java to Python is easier than vice versa. The roles targeted in the first path are software engineering and development, in the second path are web and app developer roles, and in the third path are data science and AI/ML specific roles. Apna College YouTube provides dedicated roadmaps and learning paths for each of these roles.
The Importance of Starting Today and Avoiding Procrastination
The most important thing is to start coding today, even with small steps. A common mistake is procrastination, with many students not starting until their third year. This often leads to a realization in the fourth year that practical preparation is necessary for placements. Early clarity and starting early are crucial for success. Even if starting in the third or fourth year, there is still enough time with the right clarity and dedication.
Five Important Things for a Successful Coding Journey
The video outlines five key points for a successful coding journey:
- Do Not Quit: Many beginners quit within the first month due to increasing difficulty. Taking a 100-day challenge can help maintain consistency and build genuine interest.
- Avoid Breaks: Taking breaks longer than three days can lead to forgetting concepts. Aim to code for at least two hours every day, even during exams.
- Prioritize Practical Learning: Practice is more crucial than theory. This includes solving DSA questions, participating in competitive programming, and building projects in development and AI/ML.
- Have a Long-Term Vision: Aim for a 5-year plan, focusing on career building rather than just getting a job. Understand the logic behind concepts for long-term retention.
- Embrace Bugs as Learning Opportunities: Every bug is a chance to learn and improve problem-solving skills.
The Importance of a Supportive Environment and Self-Belief
Having a friend circle of like-minded coders can be beneficial, but it is not essential. Self-sufficiency and belief in one's ability to achieve goals through hard work are crucial. In environments with less supportive peers, minimize time spent with them and focus more on career-oriented activities. Resources are widely available online, leveling the playing field for students from all backgrounds.
Final Thoughts: Long-Term Vision and Overcoming Challenges
Believe in yourself, work hard, and do not quit when things get tough. A long-term plan and consistent effort will lead to success, regardless of background or college tier. The video concludes by encouraging viewers to apply these insights to their coding journey and to ask any further questions in the comments.
