I have a controversial point of view with this respect! Not all BAs need to have data analytics skills. Those who need such skills are BAs who are directly working in data analytics initiatives with data analysis teams. Data analytics is considered a specialization for BAs and is not a core generic required skill.

To stay ahead in business analysis, continuously improve your data analytics skills by: Upskilling Regularly: Take online courses or certifications in tools like Excel, Power BI, Tableau, or Python. Staying Updated: Follow industry trends, blogs, and forums to learn new techniques and practices. Practical Application: Work on real-life projects or case studies to enhance hands-on experience. Networking: Engage with professional communities to share knowledge and gain insights. Feedback and Learning: Regularly review your work, seek feedback, and refine your techniques.

Ongoing Learning: Regularly participate in workshops, webinars, and courses to stay updated on new tools and techniques. Hands-on Practice: Work with real datasets and solve practical problems to enhance both theoretical and practical understanding. Join Communities: Engage with industry professionals through forums and social media to exchange insights and best practices. Seek Feedback: Collaborate with mentors or peers to get constructive feedback and refine your approach.

Understand the difference between correlation vs causation. Often, it can be easy to mix these relationships up, especially when the problem is more technical. I have found it helpful to sit down and draw the relationships. Sometimes, problems we think are much more complex are more straightforward, and vice versa. Staying curious and questioning our assumptions can go a long way in improving our analysis.

To continuously improve my data analytics skills are:- 1. Ongoing Learning:I regularly take online courses and earn certifications in tools like SQL, Tableau, and Power BI and etc. 2. Hands-on Practice: I continuously work on real-world data projects to apply new skills, test different tools, and enhance my technical proficiency. 3. Collaboration:I actively collaborate with data science teams to learn advanced methods and bridge the gap between business needs and technical execution. 4. Data Visualization & Storytelling:I refine my ability to present data through clear, impactful visuals, and focus on communicating insights. 5. Networking & Community Engagement:Attending industry webinars, forums, and reading up on the latest publications.

A única forma de você melhorar sua analise é analisando, muita gente acha que analisa dados e quando você entrega a ela uma situação ela não consegue sair do lugar sem a ajuda de uma IA por exemplo, eu não acho que seja irrelevante o uso da IA ou de qualquer outro recurso, mas você deve entender o resultado que a IA vai trazer e estar pronto para fazer analise de cenários, quer melhorar? Pratique!

I continuously improve my data analytics skills by following a structured formula: Learn + Apply + Reflect + Evolve (LARE). Learn: I regularly update myself by exploring new tools, techniques, and trends through online courses, webinars, and industry publications. Apply: I apply learned concepts to real-world projects, ensuring I stay hands-on with tools like Python, SQL, or Tableau. Reflect: I analyze the outcomes of my analyses, identifying gaps and areas for enhancement. Evolve: I use feedback and results to evolve my approach, refining processes to optimize insights. By iterating through this formula, I ensure consistent growth in my analytical abilities and stay ahead in business analysis.

To stay ahead in business analysis, continuously improve you data analytics skills by: # Attending webinars and conferences # Participating in online forums and discussions # Reading industry blogs and books # Taking online courses and certifications (e.g. Coursera, edX) # Practicing with real-world datasets and case studies # Staying updated with new tools and technologies (e.g. Tableau, Power BI)

I keep my data analytics skills sharp by taking online courses and joining workshops to learn new tools. I also read blogs and follow experts to stay updated on the latest trends. Working on real projects helps me apply what I’ve learned, and I enjoy experimenting with different datasets. Connecting with other analysts to share tips and ideas is really helpful too. Staying curious and always looking to learn keeps me ahead in business analysis.