What do you do if you want to become a subject matter expert in data analytics or cloud computing?

Here's a concise roadmap: Data Analytics: Education: Bachelor's/Master's in Data Science or related field. Technical Skills: Python, R, SQL, Tableau/Power BI, Statistical Techniques, Machine Learning, Big Data Technologies (Hadoop, Spark). Experience: Real-world projects, internships, freelance work. Continuous Learning: Stay updated through courses, workshops, community engagement. Cloud Computing: Education: Degree in Computer Science/IT, Cloud certifications (AWS, Azure, GCP). Technical Skills: Cloud Concepts, Architecture, Services (AWS, Azure, GCP). Experience: Hands-on deployment, management using cloud tools. Continuous Learning: Stay updated with cloud provider updates, certifications, and community engagement.

In my case, first i had to get in contact with data, daily at first small dataset and the large dataset. then i went to understand the meaning of data and how can iobtain insight from it. Dont worry about the tools excel works fine in the beginning. be aware when you're dealing with data, every data matters

I believe in "learn-by-doing" approach. So, i would say go for a project-based courses where you can practice using different tools to replicate a real-world examples of Data Analytics. Also, get inspired by community; check the conducted analysis use-cases done by others to see how the end product would look like.

Capacita??o e foco s?o a base de tudo! Aprenda o básico primeiro: Lógica, SQL , Estatística para Data Analytics ou Princípios básicos de Redes de Computadores , Seguran?a da informa??o para Cloud. Depois do básico bem feito partir para uma demanda de mercado! Muita gente pula etapas e por isso acaba se frustrando na área de TI. Acreditam que v?o entrar no mercado em 6 meses ganhando 30k e n?o é essa a realidade. Um ponto também importante é: saiba se vender ... Trabalhe em projetos ! A área de TI é imensa e pensar que você trabalhar ajudando pessoas que n?o s?o da área desenvolvendo solu??es que melhorem seus processos também é um caminho. E aposto minhas fichas que o mercado de TI vai caminhar muito nesse sentido nos próximos anos.

How to Become an Expert in Data Analytics or Cloud Computing To become an expert in data analysis or cloud computing, it is essential to build a solid foundation in IT fundamentals and mathematics, educate yourself in the respective areas, explore the resources offered by cloud platforms such as AWS, Azure or Google Cloud, practice and apply your knowledge to practical projects and stay up to date with the latest trends and technologies. With dedication, continuous education and diligent practice, it is possible to achieve success in these vital areas of technology.

The Importance of Practical Experience in Data Analysis Gaining practical experience is essential to excel in data analysis. Participating in projects that allow you to apply theoretical knowledge in real situations is invaluable. By analyzing real data sets, you can uncover significant insights and trends. In cloud computing, deploying applications in cloud environments offers valuable practical experience. Internships and entry-level positions offer excellent exposure to these fields, strengthening learning and making professionals more attractive to potential employers.

Podemos ressalta a importancia da experiência prática para complementar o aprendizado teórico em áreas como análise de dados e computa??o em nuvem. Concordo plenamente com essa abordagem, pois a aplica??o do conhecimento em situa??es reais n?o apenas consolida a compreens?o, mas também desenvolve habilidades essenciais para o mercado de trabalho. Projetos práticos permitem que os indivíduos enfrentem desafios reais, aprendam com os erros e se tornem mais versáteis e adaptáveis. Além disso, estágios e posi??es de nível inicial proporcionam uma valiosa exposi??o ao ambiente profissional e às exigências do setor, contribuindo para a forma??o de profissionais mais capacitados e preparados para enfrentar os desafios do mercado.

Build technical skills in data analytics or cloud computing by gaining hands-on experience with relevant tools, software, and platforms. Practice using popular analytics tools such as Python, R, SQL, Tableau, or cloud computing platforms like AWS, Azure, or Google Cloud.

In my professional career, I've noticed that as you gain confidence in the basic concepts, it's essential to look for a specialization that aligns with your interests in data analysis or cloud computing. In data analysis, this might mean focusing on machine learning algorithms or big data technologies. In cloud computing, specializing in a specific platform such as AWS, Azure or Google Cloud, or delving into cloud security are viable options. This specialization can set you apart as an expert, meeting the demands of the sector or reflecting your personal passion, and allowing you to become a highly qualified and valued professional in your field.

The age of generalist data scientists is coming to a close. New college graduates are learning data science techniques. In our profession, consider specializing in a field in which you enjoy and thrive. Consider that "quants" are financial market data scientists who continue to specialize in market predictions for investment. Successful quants become invaluable to their clients and are financially rewarded. Emerging fields include epidemiology, environmental science, criminology, energy distribution, and simulations. Such fields need, and are now employing, data scientists, data modelers, and business intelligence subject matter experts. Such fields are not only evolving, but offer interesting, financially incentivized careers.

To carry out continuous learning in data science, it is essential to take advantage of the tools available. Start by exploring online learning platforms such as Coursera, Udemy or DataCamp, which offer a variety of courses and tutorials in data science. Also, join online communities such as Kaggle and Stack Overflow to exchange knowledge and collaborate on projects. Also use free resources, such as official documentation for libraries like TensorFlow and PyTorch, and blogs specializing in data science. Finally, keep up to date with the latest research and trends in the field by following online conferences and workshops, such as the annual ACM SIGKDD conference.

A especializa??o após dominar os fundamentos é crucial. Aprofundar conhecimentos em áreas específicas pode impulsionar carreiras e atender demandas do mercado.

To become an expert in cloud computing and data analytics, prioritize continual learning, leveraging practice and progress over perfection. Seek out mentors who possess extensive experience in the field and are willing to guide you. As a protégé, demonstrate eagerness to learn, ask insightful questions, and actively implement feedback. Engage with industry communities, attend workshops, and participate in networking events to connect with potential mentors. Being a proactive and dedicated protégé can lead to invaluable insights and exponentially accelerate your journey towards expertise.

Absolutely! In the realm of data analytics and cloud computing, staying ahead requires a dedication to lifelong learning. Advanced courses, certifications, and industry conferences are essential. Platforms like PacktPub and Udemy offer comprehensive courses covering the latest tools, technologies, and best practices in these fields. Additionally, MOOCs (Massive Open Online Courses) provide accessible resources for continuous education. Embracing ongoing learning ensures that as an expert, you remain at the forefront of these ever-evolving domains.

You can’t just attend one boot camp then you see yourself as a champ. You need to get your hands dirty, attend different workshop/bootcamp, you will always learn something from each bootcamp, and you network. In Networking you learn by discussing and it also builds confidence.

Networking is fundamental to professional advancement in any field, especially data science. Connecting with coworkers, mentors and professionals in the field provides opportunities for learning, collaboration and career growth. In addition, networking allows for the exchange of knowledge and experiences, making it possible to gain valuable insights and solutions to complex challenges. Establishing solid relationships can also open doors to new job opportunities, business partnerships and interesting projects. Participating in events, conferences and online discussion groups are effective ways of expanding your professional network. So take care of your network!

Networking é essencial. Conectar-se com especialistas via redes sociais, eventos e organiza??es pode abrir portas e ampliar horizontes.

Connect with other professionals, experts, and practitioners in the field of data analytics or cloud computing through networking events, online forums, and social media platforms. Engage in discussions, share insights, and learn from others' experiences to expand your knowledge and expertise.

From my point of view, it's super important to pay it forward as it gives a good feeling. Always remember yourself a few years ago when you started this career. You may think of: - What would make your learning journey easier? - What one thing do you wish you had known from the beginning? - What thing would you have done differently? - What thing(s) would NEVER you do again? Gather all the answers to the above questions and share them with others, especially for those who are trying to start a career.

Try as much as possible to pass what you have learned to others. To be honest you learn more when you teach people what you know.

As you strive to become a subject matter expert in data analytics or cloud computing, keep a watchful eye on the technological horizon. Generative AI is poised to automate many technical processes, making it crucial to focus not just on deep technical expertise, but also on the big picture. Cultivate a broad understanding of the field and stay attuned to paradigm shifts. Anticipate how developments like generative AI, blockchain, and decentralized systems might reshape the industry. Your value as an expert will lie in your ability to navigate changing tides and envision how emerging trends can drive innovation. Embrace change, stay curious, and never stop learning.

You need to make up your mind on the tools to use as we have over hundreds of them out there, else you will learn most of the tools, but you can’t master one.