Calyx Analytics

Python is one of the most popular programming languages in the world today. It has vast applications in mobile application development, gaming, web development, data analytics and so on. In this article, I am going to introduce you to the steps you need to take to become a Python data analyst.  The first thing you need to do is to learn the language. Python Programming is a full blown Object Oriented Programming (OOP) language. It's one of the easiest programming languages to learn. It has a very clean syntax. In fact, it is a blessing for beginners to start with this language. You can start your Python Journey on W3Schools (link to a Python class below)  Python Tutorial (w3schools.com) PS: watch out for some Python and Python libraries tutorial on this blog.  After your Python training, which ought not to take you more than 3 months, you can then proceed to learn Python libraries that are germane to data analytics. I will suggest you start with Pandas. Pandas is a 2D dat...

 Hello everyone, I will like to welcome you to this introductory article.  Data and data related disciplines are the future of this planet. Data will drive the remaining part of the 21st century and subsequent centuries. I am almost certain that you are having interest in this field. Hence the reason you found yourself on this page.  Data analysis is the process of providing solution(s) to a problem through data. In order to be a successful data analyst, you must have 'analytical mindset'. You must learn to ask the right questions and seeks the right answers to your questions. This for me, is the most import step towards being a great data analyst.  In addition, you must be willing and open to knowledge. Data analytics is a dynamic field. What you knew last 6 months could be obsolete by tomorrow. You must have knack for trending technologies. I always advice newbies to start with their data analysis journey with Microsoft Excel. You will find useful resources on YouT...