DATA ANALYTICS
Course Overview
The Data Analytics Program at the WITU Digital Jobs Center is an intensive course designed to provide participants with a robust foundation in data analytics. Through a blend of theoretical knowledge and practical application, the program prepares individuals to pursue diverse careers in the data-driven landscape of today’s industries.
Course Overview
1. Standard Duration: 12 Weeks
a. Sessions: 2 sessions per week
b. Session Length: 3 hours per session
2. Accelerated Duration: 8 Weeks
a. Sessions: 3 sessions per week
b. Session Length: 3 hours per session
Program Eligibility
A good working laptop (8 GB RAM or above, 500GB HDD or 256 SSD)
A stable internet connection
A serene environment for virtual sessions
Ability to pursue the program on a full-time basis
Prior expression of leadership potential
Participants who complete multiple programs (e.g. Data Analytics or Digital Marketing) can qualify for more advanced roles
Our Admission Process
Step 1 - Apply
Submit your application. Share a bit about yourself and what’s driving you to start a career in data science.
Step 2 - Admission Assessment
Highlight both hard skills (e.g., software proficiency) and soft skills (e.g., communication) that are relevant to the job you’re applying for.
Step 3 - Admissions Interview
Speak with an Admissions representative in a non-technical interview. This is an opportunity for us to get to know each other a little better. Nothing technical – just a friendly conversation.
Step 4 - Admissions Decision
Receive your acceptance decision from Admissions. This usually happens within 3 business days.
Step 5 -Pre-work
If accepted, you’ll begin course pre-work to prepare for the first day of class. Our courses pre-work consists of 20-40 hours of lessons.
Our Three Pillars
Blended Peer Learning
You will be placed in small groups to work together as a team and complete academic goals in real-time virtual classrooms and during in-person sessions; which has goals at the individual and group level.
Mentor-Based Learning
A mentor will be available at all times during office hours to provide help and evaluate your work. We offer you a supportive and engaging work environment, where you can feel free to make mistakes and learn.
Projects-Based Learning
Our learning methodology focuses 100% on the needs of today’s market. You will work on real-world projects similar to those you’ll find on the job and complete them using the same tools used by professionals.
Job Opportunities
Job opportunities you can apply for at the end of the training includes:
Data Analyst
Business Analyst
Financial Analyst
Market Research Analyst
Database Administrator (DBA)
Data Engineer
Data Visualization Specialist
Health Data Analyst
Sales Analyst
Operations Analyst
Digital Marketing Analyst
Supply Chain Analyst
HR Analyst
Product Analyst
Data Consultant
Fraud Analyst
Risk Analyst
Customer Insights Analyst
Customer Insights Analyst
Data Quality Analyst
Reporting Analyst
Pricing Analyst
Research Analyst