Master Data-Driven Decision Making with Business Analytics in 12 Weeks!
Gain job-ready analytics skills with live mentorship and real-world projects designed to fast-track your career in Nigeria’s booming business landscape.
Course Overview
Business Analytics is key to unlocking smarter business decisions. In this 12-week course, you’ll learn to analyze, interpret, and visualize data using Python, Excel, and advanced analytics tools. Whether you’re looking to pivot careers or grow in your current role, this course is designed to help you stand out in a data-driven world. You’ll master skills like regression analysis, predictive modeling, and business forecasting, all taught through live, interactive sessions with experienced mentors.
Why Choose This Course?
- Live, interactive classes: Participate in real-time, 100% live sessions with instructors—no pre-recorded videos—ensuring personalized, hands-on learning.
- Hands-on projects & portfolio building: Build real-world projects that showcase your skills and enhance your professional portfolio.
- Real-World Case Studies: Apply analytics techniques in industries like finance, healthcare, and more.
- Certificate of Completion: Earn a globally recognized certificate that showcases your job-ready credentials.
- Lifetime Access: Revisit course materials anytime, anywhere, at your own pace.
- Career support & mentorship: Get expert guidance and personalized mentorship to help you navigate your career path.
- Flexible Payment Options: Pay upfront or split into two installments, with 10% off for upfront payment.
What You Will Learn
- Master Business Analytics Fundamentals: Grasp key concepts and data-driven decision-making methods.
- Python for Data Analysis: Develop proficiency in Python using libraries like Pandas and NumPy.
- Statistical Decision Making: Learn inferential statistics to derive actionable business insights.
- Power BI for Visualization: Create compelling data visualizations to support business outcomes.
- Predictive Modeling & Econometrics: Master regression and forecasting for business predictions.
- Customer Segmentation: Analyze customer behavior and market segments.
- Real-World Applications: Practice with real business datasets and scenarios.
- Career-Ready Skills: Equip yourself for in-demand roles in business analytics.
Curriculum Overview
Discover how businesses leverage data for success.
Develop proficiency in Python using libraries like Pandas and NumPy.
Learn inferential statistics to derive actionable business insights.
Create compelling data visualizations to support business outcomes.
Master regression and forecasting for business predictions.
Analyze customer behavior and market segments.
Practice with real business datasets and scenarios.
Equip yourself for in-demand roles in business analytics.
Graduates will be ready for roles like:
- Business Analyst
- Data Analyst
- Operations Analyst
- Financial Analyst
Where is the Skill in Demand?
Globally: Tech giants, startups, and every industry in between are seeking machine learning talent.
Nigeria: From fintech to healthcare to agriculture, Nigerian companies are embracing AI to solve local challenges and drive innovation
Tuition Fee
Tuition Fee= ₦121,000
Our Flexible Payment Plan. No hidden cost.
Duration
3 Months
FAQs
What prior experience do I need to enroll in this course?
No prior experience in AI or machine learning is needed. Basic knowledge of Python programming is recommended, but we provide foundational support to help you succeed.
Are the classes live or pre-recorded?
All classes are 100% live and interactive with mentors. No pre-recorded videos, ensuring real-time engagement.
What kind of projects will I work on?
You’ll work on real-world projects in fields like finance, healthcare, and e-commerce to build your portfolio.
How does the payment plan work?
We offer two payment options: upfront or in 2 installments. Pay upfront and get 10% off the course fee.
What career support will I receive?
You’ll receive personalized career mentorship, resume reviews, and guidance on building a strong portfolio to stand out in the job market.
What is the course duration?
12 weeks of intensive learning.
What are the tools needed?
A computer with Python installed; setup guidance will be provided.