📘 Data Science Course – College Program

Tuition Fee: $2000
Duration: 100 hours (intensive program)

✨ Introduction & History of Data Science (3 paragraphs)

Data Science is a rapidly growing discipline that combines computer science, mathematics, and statistics to analyze and interpret large volumes of data. Its origins can be traced back to the early 20th century when statisticians began using mathematical models to study social and natural phenomena. By the 1960s, with the growth of computing power, researchers started to speak of “data analysis” as a formal field.

The term “Data Science” itself became popular in the late 20th century, particularly during the rise of big data technologies in the 1990s and early 2000s. Institutions like Bell Labs, MIT, and Stanford laid much of the groundwork, combining applied statistics with computational techniques. With the emergence of machine learning and artificial intelligence, data science transformed into a core driver of scientific discovery and business innovation.

Today, Data Science stands at the center of the digital revolution. From healthcare and finance to entertainment and social media, it provides the foundation for decision-making and predictive modeling. Its development reflects a fusion of mathematics, programming, and domain expertise, making it one of the most in-demand skills in the modern world.

🌍 Role in Market & Society

Data Science is reshaping industries and society at large. In the job market, it is one of the most sought-after skills, with data scientists being ranked consistently among the top emerging roles globally. Companies rely on data science to optimize processes, forecast trends, personalize products, and reduce risks.

In society, data science plays a vital role in public health, education, climate change research, and policy-making. For example, governments use data-driven insights for traffic management, pandemic monitoring, and resource allocation. On a personal level, recommendation systems in Netflix, Amazon, and Spotify are powered by data science, influencing daily choices for millions.

In short, Data Science is not only a high-paying career path but also a transformative force that shapes how communities, businesses, and governments function in the 21st century.

📚 Curriculum (100 Hours)

1. Introduction to Data Science (5 hrs) – history, applications, tools.

2. Python for Data Science (15 hrs) – basics of Python, NumPy, Pandas.

3. Statistics & Probability (10 hrs) – descriptive stats, distributions, hypothesis testing.

4. Data Visualization (10 hrs) – Matplotlib, Seaborn, dashboards.

5. Databases & SQL (10 hrs) – relational databases, queries, integration.

6. Machine Learning Basics (20 hrs) – regression, classification, clustering.

7. Big Data Tools (10 hrs) – Hadoop, Spark, cloud-based analytics.

8. Applied Data Science Projects (15 hrs) – case studies from healthcare, finance, social media.

9. Capstone Project (5 hrs) – independent project to showcase learned skills.

📅 Program Details

• Course Length: 100 hours (10 weeks, 10 hours/week or intensive 5 weeks, 20 hours/week)

• Tuition: $2000

• Format: Online (live + recorded) & in-person workshops

• Start Date: October 1, 2025

• Institution: Kairos College (modeling curriculum after Harvard, MIT, and Stanford programs)

• Certification: Upon completion, participants receive a Professional Certificate in Data Science.