You want to improve your analytical skills. How can you start?

Start first from visualisation tools like tableau or power bi which help you to understand the terminology used in analytics with that explore statistics and its applicability in data cleaning and judging accuracy. Once you find yourself comfortable in this switch to Mysql for database understanding then python for ML algos. Keep learning analytical blogs which updates your concepts and reliability on your task.

Start by understanding what you want to achieve with your analytical skills. Whether it's making better decisions, solving complex problems, or gaining insights into data, having clear goals will guide your learning process. For instance, if you're working in marketing, your goal might be to analyze customer data to improve targeting and campaign effectiveness.

Cultivate a curious mindset and a thirst for knowledge. Approach problems with a sense of curiosity and a desire to understand the underlying factors and connections. Ask questions, seek out information, and explore different perspectives to deepen your understanding of complex issues.

Just like a carpenter needs the right tools to build, you need the right tools to analyze data effectively. This could include software like Excel, Python, or Tableau, depending on your needs and preferences. Explore different options and find the tools that work best for you and your goals. For example, if you're comfortable with spreadsheets, Excel might be a good starting point for basic analysis tasks.

In my experience in Financial Tech, do not discard any tool. Maybe Excel solves the data analysis problem you have. By using the latest functionality or language, you will not have better data analysis.

When it comes to any applicable skill, technical or otherwise - the only way to sharpen it is by applying it to real-world problems. Solving case studies, doing internships, shadowing an expert and learning alongside them can be some ways to improve your analytical skills.

The best way to improve your analytical skills is by putting them into practice. Dive into real-world projects or problems where you can apply what you've learned. Don't be afraid to make mistakes – they're opportunities to learn and grow. For instance, if you're learning to analyze sales data, try working on a small project to identify trends and patterns.

Feedback is essential for growth. Share your work with others – whether it's colleagues, mentors, or online communities – and ask for constructive feedback. This will help you identify areas for improvement and gain new perspectives on your analysis. For example, if you're presenting your findings to your team, ask for feedback on your presentation style and the clarity of your

The field of analytics is constantly evolving, so it's important to keep learning and staying updated on new tools, techniques, and trends. This could involve taking online courses, attending workshops or conferences, or simply reading articles and blogs on the subject. For instance, if you're interested in predictive analytics, consider taking a course to learn about machine learning algorithms.

Quando você já atua na área financeira de alguma forma e deseja melhorar suas habilidades analíticas, é estratégico participar de cursos de análise financeira e estatística, pratique resolvendo problemas complexos, aprenda a usar ferramentas de análise como Excel, Python, R e softwares de BI. Buscar leituras sobre análise financeira e encontre um mentor na área. Lembrando que, o aprimoramento é um processo contínuo que requer prática e paciência.

Remember that analytical skills aren't just about crunching numbers – they also involve critical thinking, problem-solving, and communication. Practice these skills alongside your technical skills to become a well-rounded analyst. Additionally, don't underestimate the power of networking – connecting with other professionals in the field can open up new opportunities for learning and collaboration.