You’re considering a career change to Computer Science. What should you know as a mid-career professional?

The biggest thing to know is that "computer science" isn't one thing - nearly every field can be enhanced or extended by introducing software into the picture! Look at what you know how to do or what you love to do, then find what people call that intersection within tech. For example, language or linguistics + computers = NLP / natural language processing (or computational linguistics). Probability and statistics + computers? Perhaps data science, data analytics, or even machine learning. Most of what you will learn about computer science is *applied* to some other field; rarely is there computer science for its own sake. Find the people who do what you do, the names they use for their work, and ask how you can contribute!

Well, let's keep it concise: Boolean Logic: Forms basis for digital electronics Computer Organization & Architecture: Designs structure of computer systems & implements in hardware Data Structures: Organizes and stores data efficiently Algorithm Analysis: Analyzes efficiency of algorithms Coding: Writing instructions for computers Automata Theory: Studies computational problems and models OS: Manages computer resources & tasks DBMS: Manages storage and retrieval of data Software Engineering: Designs,builds reliable software systems Web Technology: Facilitates creation,use of websites AI: Simulating intelligent behavior in machines ML: Enables machines to learn from data #computerscience #ai #ml #algorithm #os #dbms #engineering

As a mid-career professional considering a shift to Computer Science, it’s essential to assess your motivations and expectations. Ensure your interest in the field isn't purely based on external rewards like salary or prestige, but stems from a genuine fascination with technology and problem-solving. Researching the evolving landscape of Computer Science will also help you gauge how well your current skills and aspirations align with the opportunities and demands of the industry, ensuring a more informed transition decision.

Ciência da computa??o é um campo muito abrangente dentro da área da informática. Antes mesmo de decidir ingressar no ramo da tecnologia a pergunta correta é, qual ramo você se identifica ou gostaria de trabalhar? pois existe curso superiores que direcionam melhor os alunos para seus objetivos... Exemplo: Analista de Sistemas, Engenharia Computacional, Jogos Digitais, Banco de Dados...

The most emerging subject in almost every field. Computer science is used all over the world. The future is of computer science

When considering a career change to Computer Science as a mid-career professional, it's important to identify which subfield interests you, as disciplines like software engineering, data science, AI, cybersecurity, and web development have distinct demands. Research each area to gauge your passion and how your current skills might align or transfer, ensuring a smoother transition into your new career path.

Very important point. There is no such thing as THE IT. So you have to evaluate exactly which area interests you. For example, is the focus more on networking, security or more on graphics or the web? These are completely different areas and require different training, but also different personal strengths.

Ciência da Computa??o é um campo de estudo acadêmico um curso que envolve os estudos dos princípios teóricos da informa??o e computa??o, assim como a prática da concep??o, desenvolvimento e aplica??o de sistemas de computa??o. Escolhendo CC, você vai passar por todos os grandes campos que envolver as tecnologias presentes da área.

Find Your Focus: Delve into the vast realms of Computer Science and pinpoint the area that ignites your passion. Will it be software engineering, data science, artificial intelligence, cybersecurity, web development, or another captivating subfield? ?? Understand the Landscape: Each subfield comes with its own unique landscape of requirements, standards, tools, and practices. Get acquainted with the intricacies of your chosen domain. ?? Adapt and Evolve: Embrace the dynamic nature of Computer Science. Stay nimble as you navigate through different languages, frameworks, algorithms, and methodologies tailored to your selected domain. ??

When transitioning to Computer Science, explore diverse subfields like Software Engineering, Data Science, AI/ML, Cybersecurity, Web Development, Networking, QA, Mobile App Development, Computer Graphics, and Database Management. Assess your interests, skills, and career goals to find the right fit. Research industry trends and required skills in each area to guide your decision. Tailor your learning path accordingly to ensure a successful mid-career transition.

As a mid-career professional transitioning to Computer Science, be informed on how to effectively learn the vast field. Options include online courses, bootcamps, self-study through books, podcasts, blogs, and videos. Select a method that aligns with your learning preferences, financial capability, and schedule. It's crucial to set clear, achievable goals and regularly monitor your progress. Be ready for a continuous learning journey, constantly updating yourself on new technologies and practices.

Ingressando em um curso de CC, você deve estar ciente que é preciso investir em cursos paralelos voltados a tecnologias, pois isso dará um Know how fora das paredes da institui??es. Dando insumos para um conjunto maior de conhecimentos práticos e teóricos. Além disso uma segunda língua (inglês) é fundamental e necessária.

Choose Your Learning Route: Explore diverse avenues—from online courses and bootcamps to books, podcasts, blogs, and videos. Select the method that aligns with your learning style, budget, schedule, and aspirations. ???? Define Clear Objectives: Set achievable and measurable goals to guide your learning journey. Whether it's mastering a new programming language or delving into data science, clarity in your objectives is key. ?? Monitor Your Progress: Track your advancement and seek feedback along the way. Embrace the iterative process of learning, adjusting your approach as needed to stay on course. ??

Don't worry about which language to get good at. Master being an excellent investigator and problem solving. The syntax of languages will matter little in the long term. What type of projects and programs you want to develop will largely dictate what technologies you use.

Die wichtigsten Punkte sind ganz klar Eigeninitiative und Lernbereitschaft. In der IT findet in jedem Bereich und zu jeder Zeit Entwicklung statt wodurch immer neues Know-How ben?tigt wird. Grunds?tzlich bietet sich der Austausch mit IT-affinen Personen im n?hren Umfeld für den Einstieg an, ebenso wie Erkl?rvideos auf den g?ngigen Streamingplattformen. Im weiteren Lernprozess lohnt es sich an Webinaren und Livesessions teilzunehmen. Fester Bestandteil der IT sind regelm??ige Kurse und Seminare deren Zertifikate einen wichtigen Nachweis im Bewerbungsprozess darstellen.

Showcasing your skills in Computer Science? Keep it simple. Work on projects that excite you, share your progress, and make sure your online profiles reflect what you love doing. Most importantly, have fun with it. Your enthusiasm is your best showcase.

To effectively demonstrate your skills and abilities to potential employers in Computer Science: 1. Build a strong portfolio with projects that showcase your technical capabilities, problem-solving skills, and creativity. 2. Document and explain your projects thoroughly to highlight your thought process and outcomes. 3. Update your resume regularly, emphasizing relevant achievements and tailoring it to each job application. 4. Maintain a professional online presence using platforms like LinkedIn, GitHub, and a personal website or blog to showcase your work and network with professionals in the field.

Build a Stellar Portfolio: Curate a collection of projects that reflect your passions and expertise. Showcase your problem-solving prowess, creativity, and technical skills through innovative and impactful creations. ??? Craft a Compelling Resume: Tailor your resume to highlight your achievements and skills relevant to the job you're seeking. Clearly articulate your contributions to projects and emphasize your unique value proposition. ?? Establish a Professional Online Presence: Create a polished digital footprint that showcases your work and expertise. Develop a personal website, maintain an active LinkedIn profile, showcase your projects on GitHub, or contribute to a blog within your field. ??

Firstly, cultivate a robust portfolio featuring projects aligned with your interests and aspirations. These projects should illustrate your problem-solving prowess, creativity, and technical acumen. Documenting your projects thoroughly, elucidating your decisions, and sharing outcomes enriches your portfolio's impact. Secondly, refine your resume to spotlight key achievements and tailor it to the role you seek. Lastly, maintain a polished online presence through platforms like personal websites, LinkedIn, or GitHub. Here, you can showcase your work, connect with peers, and bolster your professional standing. By leveraging these avenues, you can effectively demonstrate your value proposition to prospective employers.

Tenha um portfólio forte com projetos que demonstrem suas capacidades técnicas, habilidades de resolu??o de problemas e criatividade. Tenha uma presen?a online profissional usando plataformas como LinkedIn, GitHub e um site ou blog pessoal para mostrar seu trabalho e interagir com profissionais da área.

To prepare for interviews: 1. Learn about behavioral, technical, and situational interview types. 2. Enhance communication and coding skills through practice and online platforms. 3. Research the company and role thoroughly. 4. Formulate insightful questions to ask the interviewer. 5. Demonstrate confidence, honesty, and a positive attitude. 6. Show genuine enthusiasm and motivation for the position.

Leetcode is basic problem solving platform for DSA.Other Computer science fundamentals Like Operating system , Object oriented programming, DBMS, Computer Networks

Understand Interview Formats: Familiarize yourself with various interview types, including behavioral, technical, and situational. Prepare responses that showcase your skills and experiences in alignment with each format. ?? Hone Your Skills: Practice communication, presentation, and coding skills to confidently articulate your thoughts and solutions during interviews. Utilize resources such as mock interviews, coding challenges, and public speaking exercises to refine your abilities. ???? Conduct Thorough Research: Gain insights into the company, its culture, and the role you're applying for. Familiarize yourself with the interviewer's background and prepare thoughtful questions that demonstrate your genuine interest and engagement. ??

1- Pesquisa sobre a empresa e a posi??o. 2- Pesquise e pratique respostas para perguntas comuns. Para perguntas técnicas use a técnica STAR (Situa??o, Tarefa, A??o, Resultado) 3- Fomente atitudes e comportamentos desejáveis, tais como: Confian?a, honestidade, atitude positiva, entusiasmo, motiva??o para o cargo.....

Embrace Open-Mindedness: Approach your transition to the world of Computer Science with an open mind and a willingness to embrace new experiences. Stay flexible and adaptable as you navigate the challenges and opportunities that come your way. ?? Learn from Others: Leverage the expertise and insights of your colleagues, managers, mentors, and coaches. Seek feedback and guidance to accelerate your learning and development, and don't hesitate to ask questions when faced with uncertainty. ??? Cultivate a Support System: Build relationships with your peers and establish a strong support network within your new work environment. Collaborate with team members, share knowledge and resources, and offer assistance when needed. ??

Die IT lebt von Vielfalt und Flexibilit?t. Seien es die Einflüsse verschiedener Kulturen und Menschen oder die unterschiedlichen L?sungsans?tze der Mitarbeitenden: Jeder Tag bringt neue Herausforderungen und überraschungen mit sich. Nicht immer laufen Prozesse wie gewollt, dann gilt es die Erfolge zu feiern und Probleme sowie deren L?sung als Teil des st?ndigen Lernprozesses anzuerkennen. Ein offenes Gemüt sorgt für Anpassungsf?higkeit und erm?glicht den wertvollen Austausch mit anderen.

Learn the ins and outs and good practices of Git and CI/CD early. It seems like a given to anyone that's been programming a while but starting out it will be invaluable as it will 100% be used in all sort of programming works, regardless of the language/framework.