Academy · Data
Data science
Learn to collect, shape, store, manage and analyse data with Python, and help organisations make data-driven decisions.
3 months
₦120,000
Python · Machine learning
About the course
Turn data into decisions
This course introduces you to the basics and dynamics of data science. You will become a professional skilled in collecting, shaping, storing, managing and analysing data, an important resource that lets organisations make data-driven decisions.
Almost every interaction with technology produces data, so these skills open doors in almost every industry.
What you need
A computer, internet and a phone
Everything else, from Python to your first data projects, you learn in class.
Outcomes
What this course opens up for you
At the end of your class
You should be able to
Program in the Python programming language
Understand the basics of machine learning
Understand machine learning algorithms
Analyse data with confidence
Understand data analytics
Understand the mathematical concepts behind data science
Careers
Job opportunities in data science
Data analyst
Data scientist
Data engineer
Machine learning engineer
Quantitative analyst
Data warehouse architect
Business analyst
Business intelligence analyst
Marketing analyst
Systems analyst
Operations analyst
Statistician
Modules
6 modules, from your first line of Python to real data analysis
You build a solid Python foundation first, then use it to work with files and databases and to analyse data.
01 · Python foundations · 3 modules
Learn Python
Intro to Python
Python fundamentals
Functions in Python
02 · Building with Python · 2 modules
Write real programs
Object-oriented programming (OOP) in Python
Files, errors and databases
03 · Working with data · 1 module
Analyse data
Data analysis programming
Keep building
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Program microcontrollers and hardware with Python, C or C++.
Enrol →Start building
Ready to start your data science journey?
Fees are under review. Contact us for current pricing, or register now and we will confirm your fee and start date.