Data Science in the Modern World

Data Science in the Modern World is a 32-hour online course that introduces learners to the foundational tools, techniques, and concepts used in data analysis today. Designed for students with little to no prior experience, this course guides learners through the full data lifecycle—from raw data preprocessing to advanced data visualization and presentation. Students will gain hands-on experience using Microsoft Excel, SQL, and Python to transform data into meaningful insights, culminating in a capstone project that showcases their skills in a real-world context.

Foundations of Data Analytics and Excel Mastery

This introduces learners to the essential building blocks of data analytics. Students begin by learning how to clean and organize raw data—preparing it for meaningful analysis. Microsoft Excel, one of the most widely used tools in the industry, is introduced as the primary platform for exploring data. Learners develop a strong grasp of formulas, functions, and advanced features like pivot tables and conditional formatting to perform analysis and create clear, insightful visualizations.

Visual Communication and Data Storytelling

Turning numbers into narratives is a vital skill in data science. In this section, learners explore the principles of effective data visualization and visual encoding. They learn how to turn datasets into charts, graphs, and dashboards that communicate key insights clearly and concisely. Emphasis is placed on the importance of audience awareness and storytelling—helping students understand how to present their findings in impactful, accessible ways.

Data Querying and Programming for Deeper Insight

To unlock more advanced data capabilities, students are introduced to two essential industry tools: SQL and Python. SQL gives learners the ability to store, query, and manage structured data, while Python offers a more flexible and powerful platform for in-depth data analysis and automation. With hands-on practice, students gain confidence in writing basic SQL queries and Python scripts, rounding out their toolkit for tackling real-world data problems.

Career Opportunities

Data Entry Specialist:

Role - input, verify, organize data into databases/excel sheet.

Requirements:

Two- or four-year degree, or equivalent experience
Knowledge of word processing tools and spreadsheets ( MS Office Word, Excel, Adobe PDF)
Typing skills

Average Salary - 47,000php (via Glassdoor)

Data Coordinator:

Role - manage and maintain database.

Requirements:

Bachelor's/College Degree
Excellent in MS and other business tools, SQL

Average Salary - 60,000php (via Glassdoor)

Database Administrator Assistant:

Role - manage and maintain database.

Requirements:

Bachelor's degree in Computer Science or related field
Knowledgeable in SQL/Oracle Databases/MongoDB
Experience in databases and/or spreadsheets.
Preferably with technical experience in handling databases

Average Salary - 77,500php (via Glassdoor)

Data Quality Analyst:

Role - ensure accuracy, consistency, and completeness in databases and data management systems

Requirements:

Bachelor's/College Degree
Knowledgeable in MS Office apps (a lot use Excel), SQL
Has Research skills

Average Salary - 74,000php (via Glassdoor)

Applicant Requirements

- Graduate of any IT-related field.

- No failing marks in their major subjects

- Knowledgeable in at least one programming language.

- Resume/CV required. TOR optional

Page updated

Report abuse