What do you do if you're considering a career change in Data Analytics?

1. Self-Assessment: Evaluate your skills and interests to find alignment with data analytics roles. 2. Research Roles: Explore different positions (e.g., data analyst, data scientist) to determine which suits you best. 3. Acquire Skills: Take courses in statistics, programming (Python or R), and tools (SQL, Tableau) to build your knowledge. 4. Build a Portfolio: Work on personal projects to demonstrate your analytical skills and insights from data. 5. Network: Connect with industry professionals on LinkedIn and attend events for valuable insights. 6. Seek Experience: Look for internships or entry-level roles to gain hands-on experience. 7. Tailor Your Resume: Highlight transferable skills and newly acquired data analytics competencies.

Before starting in data analytics, take a look at your current skills and compare them to what data analysts usually need. You should have a good understanding of statistics, know how to use analytical tools, and be able to make sense of complex data. Figuring out what you might be missing will help you focus on improving those areas, so you're ready for the job. This will help you succeed as you enter the field of data analytics.

I did this, learn basic of stats. Start applying it in daily life. Eg in your day job you would already be having enough amount of metrics and numbers. Create synthetic thought experiments where you are going to give strategic advice to your leadership and use the skills you learned from statistical course courses to act as a very smart Data analyst. What is this learning by doing that actually makes the difference without having to give up your current role responsibility and source of income #learningbydoing #cmu

First important thing is to accept and realise if you have a knack for data. It requires some amount of qualitative aptitude. Otherwise it becomes boring and sometimes overwhelming. I would suggest start with solving some quant questions and then read some great books like Signal and Noise to see if you enjoy them. Next step is to see how much of data related work is overlapping from your current role Then start with courses from YouTube or any other platform for advanced excel and SQL… Try solving problem

Networking is an important step when moving into a career in data analytics. Connecting with others in the field can open doors to job opportunities, provide valuable insights, and help you learn about industry trends. Attend meetups, join online forums, and engage with professionals on platforms like LinkedIn. Building these relationships can give you guidance, support, and even mentorship as you start your journey in data analytics.

Networking is a key step in pursuing a career in data analytics. Connecting with individuals in the sector can lead to job chances, important insights, and an understanding of industry trends. Attend meetups, participate in online forums, and connect with experts on platforms such as LinkedIn. Building these relationships can provide you with direction, support, and even mentorship as you begin your career in data analytics.

Engaging online can significantly benefit your career in several ways, opening up opportunities for networking, skill-building, and personal branding. It gives a chance to get in touch with likeminded people, meanwhile expand your industry knowledge and career prospects. Regularly posting relevant content, sharing insights, and participating in discussions online demonstrates your expertise and commitment to your field. This helps build your reputation and can attract recruiters or clients. Engaging online gives you access to a wealth of learning resources, including free courses, tutorials, webinars, and podcasts. By staying active online, you can quickly find new job opportunities and apply early.

Although the expression may seem overused, the value of personal and professional growth gained from contributing to a practical case is substantial. The discrepancy between theories and their application is best tested on a real-world problem. Furthermore, it enables you to alter your thought paradigm and access a space you might not have otherwise discovered.

The IT Industry is all about - Learn- Unlearn - Relearn There are many platforms available, to be in touch with new technologies through full fledged and different paced courses. There are platforms to try and make sample projects as well. I have personally made a lot of knowledge growth using learning platforms, and have made impact in projects worked upon.

Try to be aware of teh latest updates on the communities and the Workshops, to knwo about the futuristic aproaches the different companies are taking towards the technology evolution.