Data
Data Science & Analytics
Turn raw data into decisions people actually act on.
Data Science — Advance
Python analytics, inferential statistics, forecasting and dashboards.
58 study hours
410 pages
10 modules
PDF ebook
What is inside
01
pandas and NumPy in depth
02
Exploratory data analysis workflow
03
Probability and inferential statistics
04
Hypothesis testing and confidence intervals
05
A/B testing design and analysis
06
Time series analysis and forecasting
07
Predictive modelling for business outcomes
08
Advanced SQL: windows, CTEs, optimisation
09
Dashboards with Power BI and Tableau
10
Communicating results to non-technical stakeholders
By the end you can
- Run a statistically valid A/B test
- Build a forecasting model for demand or revenue
- Deliver a dashboard a business team will use daily