Austin Anosike

[Austin Anosike @ChimaobiDataExp]

Day 2 of Data Analytics

Ratios show proportion
Percentage change shows movement
Raw numbers can lie.

Alway normalize your data. Did the population change? which led to the change or the observable fact being stated.
Context reveals truth.

#DataAnalytics #BuildInPublic

[Austin Anosike @ChimaobiDataExp]

Restarted my journey today again
I learned about Symptoms and causes.
Symptoms are basically the observables from the data or issues been raised by the data.
Causes are the real information that drive the symptoms.
I understood percentage change clearly
Practised SELECT in SQL

[Austin Anosike @ChimaobiDataExp]

Here are a few techniques analysts use:
• Regression – finds relationships between variables
• Factor – identifies hidden patterns in data
• Cohort – studies groups with shared characteristics
• Cluster – groups similar data points
• Time Series – analyzes trends over time

[Austin Anosike @ChimaobiDataExp]

Day 1 & 2 of my Data Analytics Journey

I started learning data analytics and decided to build in public.

Here are some key things I learned so far 👇

#DataAnalytics #BuildInPublic

[Austin Anosike @ChimaobiDataExp]

The Data Analytics Process

A typical workflow looks like this:

Data Collection

Data Cleaning

Data Processing

Data Analysis

Data Visualization

Each step turns raw data into useful insights.