Here's how you can advance your data analytics career without higher education.

Advance your data analytics career by gaining industry certifications, building a strong portfolio of projects, staying current with trends, and mastering relevant tools. Network with professionals, seek mentorship, participate in online courses, and contribute to open-source projects to demonstrate your expertise

I'm suggesting some of the best resources to study data analytics: ~Google Data Analytics Professional Certificate (Coursera) ~Become a Data Analyst (LinkedIn Learning) ~Excel Skills for Data Analytics and Visualization Specialization (Coursera) ~Data Analyst in R (Dataquest) ~Data Science Career Tracks (DataCamp) ~Data Analytics Bootcamp (Springboard) Platform: Springboard

Para avanzar en esta carrera tan desafiante puedes: - Aprovechar recursos en línea como cursos, bootcamp, tutoriales y videos para aprender nuevas habilidades de análisis de datos. - Crear y trabajar en proyectos propios para ganar experiencia práctica y demostrar tus habilidades. - Conectar con profesionales en el campo del análisis de datos para obtener consejos, oportunidades y mentoría. - Seguir las últimas tendencias y tecnologías en análisis de datos a través de blogs, webinars y conferencias. Espero todos puedan tener su oportunidad en esta disciplina en auge :) Cris

A mi me ha servido el combinar los recursos interactivos como cursos y bideos de YouTube o platzi con libros, data science from scratch o noked statistics han ayudado a que comprenda de manera holistica la mezcla entre datos y la realidad

To advance your data analytics career without higher education, focus on developing practical skills through self-study and hands-on experience. Master essential technical skills such as data manipulation, statistical analysis, and proficiency in programming languages like Python and SQL. Build a portfolio of projects that demonstrate your abilities in data visualization and problem-solving. Earn certifications from recognized platforms and participate in online courses to validate your expertise. Network with professionals in the field, seek mentorship, and actively engage in industry discussions to stay updated with trends and best practices

Creating a compelling portfolio of real-world projects is essential for showcasing your skills. Start with public datasets to build foundational projects, then progressively take on more complex tasks or volunteer your skills to local businesses and non-profits. For example, after mastering basic datasets, I volunteered to help a local small business analyze customer purchase data. By identifying peak buying times and preferred products, I provided actionable insights that boosted their sales by 15%. Documenting this journey, including the obstacles and solutions, allowed me to present a comprehensive story during job interviews, highlighting both my analytical skills and my ability to drive tangible business results.

Build compelling and insightful projects. Keep detailed records of your project journey, including the problem statement, data cleaning, techniques used for the analysis, and conclusions of the result. This serves as proof of your capabilities and demonstrates your expertise through your projects. Collaborate or join online communities to engage in team projects. This provides opportunities to tackle real-world problems, contribute to the community, and expand your professional network.

Advancing your data analytics career without higher education is possible by gaining relevant certifications. Certifications from organisations like Google, Microsoft, IBM etc... can enhance your skills and appeal to employers. Start with foundational certifications such as the Google Data Analytics Professional Certificate or Microsoft Certified: Data Analyst Associate. As you gain experience, pursue advanced certifications in areas like machine learning or business analytics. Utilise online platforms like Coursera and edX for courses and certifications. I recommend the Data Analytics Boot Camp with edX. Continuous learning through certifications shows your commitment to growth and boosts career prospects.

Learning online and using your knowledge by working on side projects is a fantastic way to learn and hone new skills without committing to traditional higher education programs. Plenty of resources are out there, but it's crucial to prioritize gaining practical experience over just collecting certifications. Additionally, getting involved in volunteering opportunities related to analytics can help one gain skills outside of their usual job.