online
Intermediate

Data Science

Data science is the engine behind modern decision-making, powering everything from personalized recommendations and financial forecasting to healthcare predictions and business intelligence. As organizations across all industries embrace data-driven strategies, the demand for professionals who can analyze, interpret, and communicate insights has grown. Master key skills in data cleaning, exploratory data analysis, visualization, machine learning, and statistical reasoning,know how to present insights effectively and make data-driven recommendations.

Duration

8 Months

Modules

6

Rating

5.0 ⭐

Format

Online | Hybrid

Start Date

Apr 2026

Data Science

Course Price

KES 75,000

Prerequisites & Requirements

Here's what you should know before starting this course to get the most out of your learning experience.

✓
Programming Knowledge

Required

  • Basic Computer Skills
  • Good reading comprehension (English)
  • A University degree or Diploma
✓
Technical Background

Helpful (But Not Required)

  • Prior coding experience
  • Understanding maths and statistics
i
Equipment
  • A high-end laptop (a basic one works)
  • Good stable internet (even part-time)
  • Commit a few hours daily (classes & Practice)

Don’t Meet All Prerequisites?

We offer foundational modules and support resources to help you catch up. Contact our admissions team to discuss your background and learning goals.

Pricing & Payment Options

Self-Paced

KES 35,000

  • • Recorded lessons
  • • Projects
Most Popular
Mentored

KES 75,000

  • • Live sessions
  • • Mentorship
Premium

KES 115,000

  • • Career coaching
  • • Job placement support

Curriculum Overview

Key data science concepts,Python basics & scripts for data processing and automation.
Datasets importation & manipulation, Handling missing or inconsistent data, calculations and data transformations.
Charts, graphs, and dashboards with Matplotlib and Power BI, Data presentation skills.
Relational databases and structures, SQL queries, storing data in databases.
Descriptive statistics and probability fundamentals, hypothesis testing and inferential statistics, Data patterns, trends, and anomalies.
supervised and unsupervised learning models, predictive models using Scikit-learn,model performance with accuracy, confusion matrices.
Building a complete data project from data collection to analysis & presentation and prepare for developer roles.

What Our Students Say

“Before joining the Data Science program, I had zero experience with Python or analytics. The hands-on projects and clear explanations helped me build real skills fast. I can now analyze datasets confidently and present insights that actually make sense.”

Lucy W.

Lucy W.

Data Analyst

“This course completely changed how I look at data. From Excel and SQL to Python and machine learning basics, everything was taught in a practical way. The support from instructors made learning feel possible, even with a busy schedule.”

John M.

John M.

Data Science Graduate

“Before joining the Data Science program, I had zero experience with Python or analytics. The hands-on projects and clear explanations helped me build real skills fast. I can now analyze datasets confidently and present insights that actually make sense.”

Leilani

Leilani

Junior Data Analyst

Frequently Asked Questions

University Degree or diploma. The course is designed for proffesionals with some working experience and also basic understanding of math and statistics logic will be helpful.
You will gain hands-on experience with Python, SQL, Excel, data visualization tools like Tableau, and machine learning libraries such as scikit-learn and pandas.
The course runs for 8 months with flexible learning options including live sessions, recorded lessons, and hands-on projects.
Yes! Upon successful completion of all modules and projects, you'll receive a Somakodi Certificate of Completion that you can add to your resume and LinkedIn profile.
Yes. We provide CV reviews, interview preparation, career guidance and job placement support to help you transition into data roles.
With our self-paced option, there's no falling behind. If you're in the mentored program, our instructors will work with you to create a catch-up plan. We're committed to your success.