17 Tags

#AI1 #Audio1 #BI2 #Business Analysis2 #Info1 #Life1 #Linux1 #Meetup6 #Nim1 #PowerBI5 #Python7 #R11 #Shiny1 #Spark1 #SQL2 #SSAS1 #SSIS1

#AI

Making a classification prediction with neural networks -

#Audio

Audio on Linux -

#BI

Business Analysis for BI -

Collecting Requirements for BI -

#Business Analysis

Business Analysis for BI -

Collecting Requirements for BI -

#Info

New blogging platform -

#Life

The 3 E's -

#Linux

Audio on Linux -

#Meetup

January meetup -

November meetup -

October meetup -

September meetup -

August meetup -

July meetup -

#Nim

The 3 E's -

#PowerBI

Allocating facts in a many to many model -

Python script to get data for Power BI -

Using an R Dataframe as a Power BI source -

Optimising Power BI Dashboards -

Consume R functions from Power BI -

#Python

The 3 E's -

Python Text Tips -

Handling deeply nested JSON with Python -

Scraping Open Table data with Selenium and Beautiful Soup -

Python script to get data for Power BI -

Getting started with Apache Spark -

Python Dashboard -

#R

Making a classification prediction with neural networks -

Using an R Dataframe as a Power BI source -

Cleaning Football Data with R Tidyverse -

SSIS Dependency Diagram with DiagrammeR and Sprockit -

Google Trends with R stats -

Installing R Stats on Linux -

Call SSAS OLAP cubes from R stats -

Consume R functions from Power BI -

Scraping data with R -

Why is R so useful -

Ultimate Tour -

#Shiny

Cleaning Football Data with R Tidyverse -

#Spark

Getting started with Apache Spark -

#SQL

Process Time Sheet Data -

Cleaning Data with SQL -

#SSAS

Call SSAS OLAP cubes from R stats -

#SSIS

SSIS Dependency Diagram with DiagrammeR and Sprockit -