# Jupyter Notebook via Docker on Raspberry Pi (Python, Raspberry Pi)

With my Data Analytics learnings continuing at a fair pace I need to be able to turn data into something nice (e.g., plot it onto charts). I could use Power BI or R , but as regular readers may know my preference for most tasks is Python. Python offers several libraries that are great for … Continue reading Jupyter Notebook via Docker on Raspberry Pi (Python, Raspberry Pi)

# Statistics: Descriptive vs Inferential, Population vs Sample (Notes)

Continuing on with my Data Analytics learnings, with a jump into Descriptive Statistics vs Inferential Statistics and an attempt to clear up Population vs Sample from my last blog post. Descriptive Statistics Descriptive statistics takes a sample, e.g. a group and records data about that sample. The data is then presented in summary statistics and … Continue reading Statistics: Descriptive vs Inferential, Population vs Sample (Notes)

# Data Variability: Standard Deviation and Variance (Notes)

When discussing data variability (i.e. how much the values vary) there are two methods that can help. These are Sample Standard Deviation and Sample Variance. Other Terms That Are Needed Measures of Centre The middle or centre of the data. Measures of Spread How diverse from the Measure of Centre data is, or how concentrated … Continue reading Data Variability: Standard Deviation and Variance (Notes)

# SQL vs NoSQL (Notes)

A quick overview of the differences between SQL and NoSQL. SQL Structured Query Language (SQL) is used for relational databases, which are table based. For example, an column in table A (e.g. User_ID) may have a relation with a column in table B (e.g. Order_Ref) and table B may have a relation to a column … Continue reading SQL vs NoSQL (Notes)

# Data, Data Lakes and Data Warehouses (Notes)

Continuing on from my post looking at Data Architecture / Data Modelling, I am now going to look at data, data lakes and data warehouses by turning my notes into this blog post. Data Data can include emails, phone calls, financial transactions, sensor readings, metrics, logs, pretty much everything. When referring to corporate data, it … Continue reading Data, Data Lakes and Data Warehouses (Notes)

# Data Architecture, Data Modelling and Data Processing (Notes)

Data Architecture (DA) Most organisations / companies have enterprise architecture which describes how a computer network (with storage, servers, switches, routers etc.) is laid out. Data architecture is very similar in that it shows the models, rules, standards, and policies that are used in the collection, storage, and use of data in an organisation / … Continue reading Data Architecture, Data Modelling and Data Processing (Notes)