In-depth guide for anyone interested in starting a career in data analytics. It covers essential skills, the best educational routes, gaining practical experience, and real-world application of data analytics skills. This guide aims to motivate, inform, and guide you on your journey to become a data analyst
If you have been using SQL and Pandas with Python for a while, you might want to leverage that knowledge by learning PySpark - You will enter to the Big Data domain after you read this post.
Managing a Team Know Yourself First Having self-awareness is key before trying to manage others. Before you attemp to manage others, learn to manage yourself. In this post I went through the required knowledge that will help you with self-awareness. These are skills that enable people to manage their thoughts, attitudes, and behaviors. As a result,- there is an increase of productivity, improve job performance, and attain professional goals more effectively. Make sure that you can focus and work one task at the time: Time is the most valuable resource - use it effectively and prevent irrelevant issues to interfere with your workflow Learn how to use a Kanban Board and its benefits to your workflow. Prioritizes tasks, Identifies more critical and less critical, adjusts priorities....
For a successful career in data analytics, you will need to gain self-awareness and learn about decision making process, habits building and biases. This is a guide will help you understand and apply it to work.
Been commited to dive into Data Analytics will require that you excel at Time Management techniques. In this post I cover some of the techniques to help you stay on top of your projects.