SQL-for-Data-Analytics
Perform fast and efficient data analysis with the power of SQL (by TrainingByPackt)
DataScience-Scripts
A compilation of theoretical concepts, some code and information that could be useful in the future. (by jlob97)
SQL-for-Data-Analytics | DataScience-Scripts | |
---|---|---|
1 | 1 | |
252 | 2 | |
0.0% | - | |
0.0 | 6.6 | |
about 1 year ago | 8 months ago | |
Jupyter Notebook | Jupyter Notebook | |
MIT License | - |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
SQL-for-Data-Analytics
Posts with mentions or reviews of SQL-for-Data-Analytics.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Resources for D205 before it changes to Performance Assessment
WGU Library: use it to read SQL for Data Analytics. You're better off skimming the book since the lessons on uCertify just copy the book (but missing some parts). Clone the repo and do all the activities.
DataScience-Scripts
Posts with mentions or reviews of DataScience-Scripts.
We have used some of these posts to build our list of alternatives
and similar projects.
What are some alternatives?
When comparing SQL-for-Data-Analytics and DataScience-Scripts you can also consider the following projects:
NBA-attendance-prediction - Attendance prediction tool for NBA games using machine learning. Full pipeline implemented in Python from data ingestion to prediction. Attained mean absolute error of around 800 people (about 5% capacity) on test set.
data-analytics-project-template - A python project starter template for data-analytics and data-science.