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Data & Artificial Intelligence Project-Based Curriculum

Data Science & Machine Learning

Turn raw data into insight and prediction — statistics, Python and machine learning for real business problems.

Duration
6 Months
Category
Data & Artificial Intelligence
Format
Project-Based
Outcome
Portfolio + Certificate
Course Overview

About This Course

This course builds the full data science workflow — from cleaning and exploring data to building, evaluating and tuning machine learning models — using Python and industry-standard libraries, finishing with a real capstone project.

Curriculum

What You'll Learn

Hands-on, project-based modules that build toward a portfolio piece by graduation.

01

Python for Data Science

02

Statistics & Probability Foundations

03

Data Cleaning & Wrangling (Pandas)

04

Data Visualization

05

Machine Learning Algorithms

06

Model Evaluation & Tuning

07

SQL for Data Analysis

08

Capstone Data Science Project

Tools & Technologies

What You'll Work With

Python Pandas scikit-learn SQL Jupyter
Career Pathways

Where This Course Can Take You

Junior Data Scientist
Data Analyst
Machine Learning Support Engineer
Business Intelligence Analyst
Admissions

Entry Requirements

  • Basic computer literacy; some comfort with numbers/statistics is helpful.
  • KCSE mean grade D or equivalent.
  • A personal laptop is recommended for practice.
  • Completed VITALINK admission form.

On admission, complete the enrollment process and follow the admissions team's guidance on payment arrangements. Contact admissions for the exact schedule.

Ready to Enroll?

Cohorts are forming now for Data Science & ML.

Apply Online Contact Admissions

Quick Facts

Category
Data & Artificial Intelligence
Duration
6 Months
Format
Project-Based
Campus
Rongai

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