Data Science & Analytics

Transform Raw Data into Strategic Business Insights

Master the complete data science pipeline from collection to deployment. Learn Python, machine learning, and advanced analytics to become a data-driven decision maker in Kenya's growing digital economy.

16-20
Weeks
95%
Job Placement
$1,500+
Avg. Salary
Enroll Now View Curriculum

Master Data Science Technologies

Learn the most powerful tools and technologies in data science and analytics

Python Programming

NumPy, Pandas, Scikit-learn

Statistical Analysis

Excel and Alteryx designer

Data Visualization

Matplotlib, Seaborn, Power BI

Machine Learning

Statistical methods using regression analysis

MySQL

Data Integration using ODBC-Connector

About This Program

Data Science is the interdisciplinary field that combines statistical analysis, machine learning, and domain expertise to extract meaningful insights from complex datasets. In today's data-driven world, organizations across Kenya and globally are seeking professionals who can turn raw data into strategic advantages.

This comprehensive program takes you from fundamental concepts to advanced machine learning techniques. You'll work with real-world datasets, learn industry-standard tools, and build a portfolio of projects that demonstrate your expertise to potential employers.

Our curriculum is designed in partnership with leading tech companies and covers everything from Python programming and statistical analysis to deep learning and big data processing. By the end of this program, you'll be equipped to tackle complex business problems using data-driven approaches.

Course Information

Duration 16-20 Weeks
Level Beginner to Advanced
Format Online
Prerequisites Basic Mathematics
Certificate Industry Recognized
Career Support Lifetime Access

Comprehensive Data Science Curriculum

A carefully structured learning path from fundamentals to advanced implementation

1

Foundation Phase

Weeks 1-3

Establish a strong foundation in statistical concepts and Excel-based data analysis skills, including advanced add-ins, essential for data science.

  • Excel Fundamentals and Data Science Introduction
  • Excel Automate Tab and Office Scripts
  • Statistical Concepts and Probability Theory
  • Excel Power Query for Data Transformation
  • Basic data handling in Excel
  • Excel Pivot Tables and Advanced Add-Ins
2

Alteryx Designer for Data Extraction, Transformation, and Loading

Weeks 4-6

Develop proficiency in Alteryx Designer, focusing on data extraction, transformation, and loading (ETL) processes, with an emphasis on data cleaning, machine learning, joining tables, and more.

  • Alteryx Designer Overview
  • Data Extraction
  • Data Cleaning Basics
  • Workflow Automation
  • Data Preparation for Machine Learning
  • Joining Tables
3

MySQL for Data Management

Weeks 7-9

Develop foundational skills in MySQL, focusing on database creation, querying, stored procedures, and data integration using ODBC connectors.

  • Introduction to MySQL
  • Creating Databases and Tables
  • Basic SQL Keywords
  • Data Import and Export
  • Stored Procedures
  • Data Integration with ODBC
4

Python for Data Science and Machine Learning

Weeks 10-12

Build a comprehensive foundation in Python programming for data science, focusing on data import, manipulation, visualization, and machine learning for predictive modeling.

  • Python Programming Basics
  • Setting Up Development Environment
  • Introduction to Scikit-Learn
  • Matplotlib Fundamentals
  • Introduction to Regression Analysis
  • Predictive Modeling Workflow
5

Power BI for Data Visualization and Analysis

Weeks 13-14

Develop proficiency in Power BI for data visualization, reporting, and basic data analysis, focusing on creating interactive dashboards and mastering simple data processing techniques.

  • Power BI Overview
  • Data Import in Power BI
  • Interactive Dashboards
  • Best Practices for Visualization
6

Capstone Project

Weeks 15-16

Apply foundational skills in a comprehensive machine learning capstone project, integrating tools like Python, SQL, Alteryx, and Power BI to solve a real-world problem through data preparation, modeling, evaluation, and presentation.

  • Data Gathering with Excel
  • Model Implementation
  • Power BI Visualization
  • Develop a comprehensive Power BI report combining model predictions, visualizations, and key insights

Career Opportunities

Graduates from our Data Science program are highly sought after across industries

Data Analyst

$500 - $1,500/month

Collect, process, and perform statistical analysis on data to help organizations understand trends and make informed decisions.

Data Scientist

$800 - $2,500/month

Analyze complex datasets to discover patterns, build predictive models, and drive business decisions using machine learning and statistical methods.

Machine Learning Engineer

$1,000 - $3,000/month

Design, develop, and deploy machine learning models and algorithms that automate tasks and make predictions from data.

Business Intelligence Analyst

$600 - $1,800/month

Transform data into actionable insights through reporting, visualization, and analysis to help organizations make informed decisions.

Product Data Analyst

$700 - $2,000/month

Analyze product usage data to help companies improve their products and customer experience based on user behavior.

Research Scientist

$900 - $2,800/month

Develop new algorithms and models in data science and machine learning, pushing the boundaries of what's possible.

Ready to Start Your Data Science Journey?

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