Latest Articles
9 Reasons Why Data Science Projects Fail
So you’re curious about the reasons why data science projects fail. In this article, I’ll explain 9 reasons why data science fail. According to VentureBeat, fewer than 15% of Data Science projects actually make it into production. And the number of projects that...
Udacity Intro to Machine Learning with PyTorch Nanodegree Review
So you’re considering Udacity’s Intro to Machine Learning with PyTorch Nanodegree? I went through and finished this program in 2019, and in this video, I’m going to provide my Udacity Nanodegree review..coming up. First, I’m going to describe the courses and projects...
Udacity Data Science Nanodegree Review
So you’re considering the Udacity Data Science Nanodegree? I finished this program in 2019, and in this video, I’ll provide my Udacity Data Science Nanodegree review. First, I’ll describe the courses and projects in the Udacity Data Science Nanodegree. Next, I’ll talk...
How to Connect Python to SQL Server
In this article, we’re going to explore how to connect a dataset from a Python script to a SQL Server database. Then, I’ll explain how to export a dataset from Python to SQL Server. After that, I’ll explain how to use Python to query data from the newly created table...
How to Create Columns in Python with Functions
If you’re in a field related to analytics or data science, you’re always going to be in situations where you need to create new columns in your data so that you can have a greater understanding of it. And most likely, using a software like Excel is way too...
How to Pass the PMP Exam: 7 Tips
The Project Management Professional (PMP) certification is the most important industry-recognized certification for project managers. In this article, I’ll provide seven tips to pass the PMP exam. In 2017, I obtained “above target” scores in four out of the five...
Other Resources
This page contains a list of courses about Data Science, Business Analytics, Data Analytics, Product Management, Data Engineering, Machine Learning, Cloud Computing, Natural Language Processing, SQL Language, Python Language, R Language, and Data Architecture.
This glossary contains concepts related to Analytics, Statistics, and Operations Research. There are over 350 definitions to choose from on this page.
