How to Start Coding in 2024? Learn Programming for Beginners | Placements & Internships

Apna College

13 Dec 202314:52

Summary

TLDRThis video script is a guide for students, particularly those in their final year of college, looking to start their coding journey in 2024. It emphasizes the importance of mastering a domain, adopting a T-shaped learning style, and being off-campus ready for internships and placements. The speaker discusses various domains like AI, blockchain, and web development, and stresses the need for practical skills over a broad academic knowledge. A step-by-step roadmap is provided, starting from learning a programming language to exploring development domains, creating projects, and considering machine learning and AI. The script also touches on the importance of adapting to industry trends and the value of projects in enhancing resumes.

Takeaways

😀 The session is aimed at students who are considering starting their coding journey in 2024, particularly those studying in B.Tech or BCA/MCA streams.
🎓 The goal is to prepare for a good tech internship or placement, focusing on essential skills that can maximize chances in the tech industry.
📚 It's emphasized that mastering all technologies is not possible during a college degree, so it's crucial to focus on a few key areas for specialization.
💡 The importance of choosing a domain that aligns with future career aspirations is highlighted, as it provides direction and opportunities.
🛠️ Learning to code requires adopting a 'T' style of learning, which means having a broad understanding of various technologies but specializing in-depth in a few areas.
🏫 The session suggests that students should not be dependent on campus for opportunities but should strive to skill themselves to be able to grab opportunities independently.
💼 The speaker shares their personal experience with three major domains: Data Structures & Algorithms, Development, and AI & ML, which were most helpful for internships and placements.
🌐 For those interested in data science, it's noted that machine learning projects are more beneficial than just learning Data Structures and Algorithms.
🔍 The session advises on verifying the importance of different domains by talking to seniors in college who are applying for placements or by connecting with professionals in the industry.
📈 The script outlines a roadmap for learning programming languages, Data Structures & Algorithms, and then exploring development in domains like web or app development, with a focus on projects.

Q & A

What is the main goal of the session discussed in the script?
-The main goal of the session is to guide students, particularly those pursuing B.Tech or M.Sc. in Computer Science, on how to start their coding journey by 2024 with the aim of securing a good tech internship or placement.
What are the various domains mentioned in the script where students can start their coding journey?
-The script mentions various domains including Machine Learning, Artificial Intelligence, Blockchain Development, Game Development, App Development, Web Development, Data Structures, Algorithms, and more.
What is the importance of mastering a domain according to the script?
-The script emphasizes that mastering a domain increases the chances of getting a good tech internship or placement. It suggests that students should focus on one domain and become proficient in it for better opportunities.
What does the script suggest as the first step in a student's coding journey?
-The first step suggested in the script is to learn a programming language, which is the foundation for further learning in any tech-related field.
Why is it recommended to learn Data Structures and Algorithms (DSA) according to the script?
-The script recommends learning DSA because it is crucial for problem-solving, which is a key aspect of being a good developer. It also helps in preparing for coding tests and interviews for internships and placements.
What is the significance of 'T' style of learning mentioned in the script?
-The 'T' style of learning signifies the need to have a broad understanding of various tech domains while also having depth in a few specific areas. This approach is recommended for a well-rounded skill set that can be applied to different tech roles.
How does the script advise students to approach the challenge of learning new technologies?
-The script advises students to be persistent and not quit when faced with difficult problems or concepts. It encourages students to resolve issues by fully committing to finding solutions rather than giving up and starting over.
What are the three important things students should know before starting their coding journey according to the script?
-The three important things students should know are: 1) The importance of mastering a domain, 2) The adoption of the 'T' style of learning, and 3) The need to be off-campus dependent, i.e., self-sufficient in learning and acquiring skills.
Why is it beneficial to learn web development according to the script?
-The script suggests that web development is beneficial because it is a popular domain with core technologies like HTML, CSS, and JavaScript that are widely used and have numerous resources available for learning.
What are the two main areas of web development mentioned in the script?
-The two main areas of web development mentioned are Front End and Back End. Front End involves the visible part of websites, while Back End involves the algorithms and processes that run behind the scenes.
How does the script recommend students to verify the relevance of skills for internships and placements?
-The script recommends students to verify the relevance of skills by talking to seniors who are applying for placements or already working professionals in the industry to understand which skills are in demand and what kind of questions are asked in interviews.

Outlines

00:00

😀 Starting Your Coding Journey in 2024

The speaker introduces the session aimed at students who are possibly in their B.Tech or BCA/MCA and want to start coding. The goal is to discuss how to begin a coding journey that could lead to a good tech internship or placement. The session will cover necessary skills to read about and the right resources. It will also touch on various fields like machine learning, artificial intelligence, blockchain, game development, and web development. The speaker emphasizes the importance of choosing a domain to master and the need to adopt a T-shaped learning style, which means having a broad understanding of many areas but deep skills in a few. The session aims to provide a roadmap or checklist for skills that can maximize chances for good tech placements or internships.

05:01

😀 Learning Path for Programming and Development

The speaker discusses the learning path for programming languages and development. It starts with choosing a programming language, with options like C, C++, Java, and Python. The speaker suggests focusing on basics first, such as variables, data types, functions, and control structures. Once the basics are covered, the next step is to learn data structures and algorithms, which may take about three months. The speaker encourages practice through problem-solving on various platforms. The talk then moves to development, where the speaker highlights web development as a popular field with core technologies like HTML, CSS, JavaScript, and frameworks like React, Angular, or Vue.js. For backend, technologies like Node.js are mentioned. The speaker advises focusing on projects to enhance learning and resume quality. The session also briefly touches on app development, mentioning the choice between Android or iOS platforms and the potential of cross-platform app development.

10:01

😀 Exploring AI, ML, and Data Science Careers

The speaker shifts the focus to AI, ML, and data science, emphasizing their importance for students interested in data science fields. It mentions that while data science roles may not require deep knowledge of data structures and algorithms, projects in machine learning can be very helpful. The speaker suggests learning Python or R for data science and highlights the importance of projects in this field. The talk also covers the types of jobs available in machine learning, such as data analysts and machine learning engineers, and the importance of research experience and higher degrees for certain roles. The speaker concludes by advising students to keep up with trends in tech but to focus on depth in areas where they see career opportunities and align with their interests.

Mindmap

Keywords

💡Coding Journey

The term 'Coding Journey' refers to the process of learning and developing skills in computer programming. In the context of the video, it is the path that students embark on to start their careers in technology. The script discusses how to begin this journey in 2024, emphasizing the importance of starting with a solid foundation in coding.

💡Tech Internship

A 'Tech Internship' is a work experience opportunity for students to gain practical knowledge in a technology-related field. The video's theme revolves around preparing students to secure such internships, which are crucial for hands-on learning and potential job placements in the tech industry.

💡Data Structures and Algorithms (DSA)

Data Structures and Algorithms (DSA) are foundational concepts in computer science that deal with organizing data and designing efficient problem-solving methods. The script highlights DSA as a critical area of focus for students, as it is a common requirement for tech interviews and internships.

💡Web Development

Web Development refers to the building and maintenance of websites. It is one of the domains mentioned in the script where students can apply their coding skills. The video discusses web development as a potential path for students, including learning core technologies like HTML, CSS, and JavaScript.

💡Machine Learning (ML)

Machine Learning is a subset of artificial intelligence that allows machines to learn from data and improve over time. The script touches on ML as an area of interest for students who want to delve into advanced technologies, suggesting it as a field with growing opportunities.

💡Deep Learning

Deep Learning is a branch of machine learning that uses neural networks with many layers, mimicking the human brain, to process and learn from large amounts of data. The video mentions deep learning as part of the advanced AI topics that students can explore, indicating its relevance in creating complex AI models.

💡Domain

In the context of the video, a 'Domain' refers to a specific area of expertise within the tech industry, such as AI, web development, or data science. The script advises students to identify and master a domain to increase their chances of securing a tech internship or job placement.

💡T-shaped Learning

T-shaped Learning is a concept where individuals have a broad set of basic skills while also having deep expertise in one particular area. The video script suggests that students should adopt this style of learning to have a general understanding of various tech domains while specializing in a few areas.

💡Off-Campus

The term 'Off-Campus' in the script refers to job opportunities or internships that are not directly associated with a student's college or university. It emphasizes the importance of students being self-reliant and not solely dependent on campus placements for career opportunities.

💡Projects

Projects in the script refer to the practical applications or creations that students build to demonstrate their coding and development skills. The video stresses that engaging in projects is essential for practical learning and for showcasing one's abilities to potential employers.

💡Trends

Trends in the tech industry, as discussed in the script, refer to the evolving technologies and skills that are in demand. The video encourages students to stay updated with these trends to remain relevant and increase their employability in the tech job market.

Highlights

Introduction to starting a coding journey in 2024 with a focus on getting a good tech internship or placement.

The session is dedicated to students who are pursuing B.Tech or M.Sc. and want to start coding.

Discussion on the necessity of reading certain things and using the right resources for learning.

Exploration of various fields like machine learning, artificial intelligence, blockchain, game development, and web development.

Realistic approach to mastering multiple domains within a college degree and focusing on a few areas of expertise.

Importance of identifying a domain of interest early on for a successful tech career.

Adopting a T-shaped learning style, which emphasizes both breadth and depth of knowledge in a chosen domain.

The necessity of thinking beyond campus for internships and placements and being self-reliant in skill development.

Personal placement journey focusing on three major domains: Data Structures & Algorithms, Development, and AI & ML.

The significance of Data Science and AI in the job market and the importance of learning these skills for internships and placements.

Advice for beginners to start with a programming language and then move on to Data Structures & Algorithms.

Exploring different programming languages like C, C++, Java, and Python, and choosing one based on available resources.

The process of learning Data Structures & Algorithms, which is estimated to take about five months.

Encouragement to persist through difficult problems in coding and not to quit, but to resolve issues with determination.

Starting development by exploring domains like web development and app development.

The importance of projects in development for enhancing learning and improving the resume for recruiters.

Different paths in development, such as front-end and back-end, and the technologies associated with each.

The option to specialize in either front-end or back-end development after gaining a foundational understanding.

Exploration of AI and ML for students interested in the data science field and the various options available for learning.

Advice on creating a balance between learning current trends and focusing on depth in a specific domain for career opportunities.

Emphasis on the importance of Data Structures, Algorithms, and Development skills for maximum job opportunities.

Closing remarks encouraging continuous learning and exploration in the tech field.