Excel Alternative: What to Learn as a Data Analyst by Usman Malik 16 May 2019 Excel spreadsheets are quickly becoming obsolete thanks to the emergence of the latest data analytics tools and languages such as Python, Java, R, and Microsoft HDInsight. However, a large number of companies still use digital spreadsheets, creating a lot of problems for modern business data analysts. Analyzing data through excel is a poor choice because of reasons like errors in data validation, a poor shared workbook feature, no multi-user editing, inaccurate data, and safety concerns, making it necessary for you to switch to better and advanced alternatives. Read more 12 Python Tips and Tricks That Every Data Scientist Should Know by Kateryna Koidan 21 Mar 2019 You already have some foundational knowledge of Python for data science. But do you write your code efficiently? Check out these tips and tricks to supercharge your Python skills. How to Write Efficient Python Code In this article, we'll take a look at some tricks that will help you write fast and efficient Python code. I'll start with how to optimize code that involves the pandas library. If you want to refresh your knowledge of pandas, check out our Introduction to Python for Data Science course. Read more New Course Launch: Intro to Python for Data Science (no IT background required) by LearnPython.com Team 7 Aug 2018 Over the past three months, we've been working on something completely new. Please welcome our new course on Python data analysis! We got many emails from users like you with good feedback on Vertabelo Academy's Introduction to R course. So first, I want to start off with a big thank you—reading your wonderful comments was like a burst of energy! We're always looking to improve our offerings, and we greatly value your input. Read more Agile Data Science: Improving Your Workflow with Scrum by Anuj Kumar Verma 11 May 2018 Within organizations, Scrum promotes efficient time and process management along with better team building and leadership. In order to implement Scrum, you'll need to follow a few simple rules. Introducing Scrum Today, we have the power to collect precise data both quickly and in vast quantities. In fact, 90% of the data available today was collected in the last two years alone. The rise of big data has greatly increased demand for data scientists, but the profession is one where few candidates possess the right skills. Read more