Data Analytics Course Online — Advanced
Analyze data, build dashboards, and make data-driven decisions with Python, advanced SQL, and industry-standard tools.
Duration
12 weeks
Format
Online, live
Skill level
Advanced
Next cohort
January 16, 2027
Course fee
GHS 500
Overview
This course covers Python fundamentals with Jupyter Notebook, advanced SQL, and Python data analytics using Pandas, NumPy, Matplotlib, and Seaborn. It equips students to analyze, visualize, and interpret data for practical business decision-making.
What you will be able to do
- Write Python code for data analysis.
- Query databases using advanced SQL.
- Analyze data with Pandas and NumPy.
- Create charts and visualizations.
- Generate insights from real-world data.
Curriculum
Module 1. Python Fundamentals (with Jupyter Notebook)
3 WeeksLearn Python basics and use Jupyter Notebook to write, run, and explore code for data analysis.
Module 2. Advanced SQL
4 WeeksMaster advanced SQL techniques to query, analyze, and manage complex databases efficiently.
Module 3. Python for Data Analytics (with Pandas, NumPy, Matplotlib)
5 WeeksLearn Python for data analysis, calculations, and visualization using Pandas, NumPy, and Matplotlib.
Who it's for
Students & graduates, aspiring data analysts, IT & business professionals, researchers & freelancers, and beginners with basic Python knowledge.
Prerequisites
- •Basic Python knowledge.
- •Basic computer skills.
- •Basic data analysis knowledge.
Your instructor
Hephaestus Technologies Faculty
Data & Analytics Instructors
Our analytics track is led by practitioners who work with business intelligence and reporting every day.
Schedule
- Weekday sessions
- No weekday sessions
- Weekend sessions
- Saturdays, 12:00 PM – 2:00 PM GMT
- Course fee
- GHS 500