Data Analytics
The Data Analytics course introduces you to the essential skills for making sense of data and turning it into actionable insights. You’ll learn how to gather and prepare data, analyze patterns, and communicate findings through clear visualizations and reports. By the end of the program, you’ll be equipped to apply data-driven thinking to real-world challenges and contribute to smarter decision-making in any organization.
Beginner level
Recommended experience
6 Weeks
Duration
Check back when application is opened
Modules
This section outlines the learning modules of the Data Analytics Program. Each module is designed to take you step by step through the fundamentals of working with data, from data collection and cleaning to analysis, visualization, and interpretation. You'll gain hands-on experience with the tools and techniques used by data professionals, helping you build confidence in uncovering insights, solving real-world problems, and making informed, data-driven decisions.
Introduction to Data Analytics
Week 1
Module 1
Data Gathering
Week 2
Module 2
Specialization
Core Data Analytics
Geo Spatial Data Analytics
Introduction to Data Processing (Handling & Wrangling)
Week 3
Module 3
Introduction to Spatial Processing (Handling & Analytics)
Week 3
Module 3
Introduction to Data Management tool(SQL)
Week 4
Module 4
Spatial Databases and Geo-spatial Data Management (PostGIS/QGIS)
Week 4
Module 4
Visualization/Web Mapping
Week 5
Module 5
Introduction to Data Visualization
Week 5
Module 5
Capstone project (Core Data Analytics)
Week 6
Capstone project (Geo Spatial Data Analytics)
Week 6
Eligibility & Prerequisites
Basic computer literacy: You should have a foundational understanding of how to use a computer.
Device & Internet Access: You'll need access to a laptop and a reliable internet connection to participate in classes and activities.
Educational Background: No formal educational certificate is required to apply. This program is open to everyone interested in learning.
Working Experience & Certifications: Prior work experience or certifications are not necessary. However, a good grasp of mathematics is important to succeed in this program.
Language Proficiency: Since the course is delivered in English, applicants should have a basic understanding of the English language to follow lessons, participate in discussions, and complete assignments.
Assessment: All applicants will be required to take an online assessment. Those who meet the required minimum score will have their applications reviewed by the admissions committee.