An AI taking the world by surprise would have sounded like a fantasy movie or at least something that won't happen anytime soon. But OpenAI -- an AI research laboratory, has turned the odds by creating ChatGPT -- a very powerful AI assistant. They are making some serious advancements in the field of images and language understanding, and it would be exciting to see what they will come up next in 2023! ChatGPT became an internet sensation within a few days of becoming public. In this blog, we will look at every important aspect you need to know about ChatGPT so that you can also leverage this amazing technology in your day-to-day work. Let's hear this directly from the AI: So, it's an AI assistant that provides information and answers questions to the best of its ability.

PYTHON data analysis using the Pandas library to manipulate datasets and automate tasks from Excel practical application. In this course, I will help you to simplify and automate your data analysis and data science tasks using the Python and the Pandas library. These lectures are the result of my personal crash course in Python programming learning experience. I have recently changed jobs and have had the opportunity to learn Python programming to analyse and manipulate data. I have compiled some essential techniques as well as tips to make sure you understand how Python object-oriented programming works.

Learn how to ingest data from 5 different data sources using python. These data sources are RDBMS database, CSV, Parquet, XML, and CSV.

Over a year ago, I started researching artificial intelligence (AI). As a marketer for a company with an advanced digital solution that uses AI-type technology, I thought it was important for me to know the competition and learn about solutions that could help me currently and in the future. Throughout my research, I found both pros and cons to AI, and it inspired me to write an article in which I argued the benefits of AI outweigh the risks. I came across that article while I was researching something else recently, and I thought it would be a good time to revisit it. A lot has transpired since I wrote the piece in February 2017, but my argument that tech adoption is slow and therefore it will be years before AI reaches its full potential is still valid. Even though we are seeing incremental progress in the role AI plays in our day-to-day lives, the change has been so gradual that, without a bit of research, it's hard to tell the difference between today and a year ago.