8 WEEKS
VIRTUAL &
PHYSICAL
PROJECTS/
ASSIGNMENTS
CERTIFICATION
What You’ll Learn
By the end of this course, you will:
✅ Understand programming fundamentals and write basic code.
✅ Build responsive websites using HTML, CSS, and JavaScript.
✅ Learn JavaScript interactivity for dynamic web pages.
✅ Develop and present a capstone project showcasing your coding skills.
Why Enroll?
Software development powers the digital world, creating opportunities across industries. At Ibadan Digital Academy, our Software Development Pathfinder Training Program equips learners with the fundamentals of programming, web development, and problem-solving. Whether you’re a beginner or looking to sharpen your skills, this hands-on course covers HTML, CSS, JavaScript, and essential programming concepts, ensuring participants are ready to build real-world applications.
Practical Learning:
Hands-on coding exercises and real-world projects.
Career-Ready Skills:
Build a strong foundation in programming and web development.
Beginner-Friendly:
No prior experience required—ideal for anyone looking to enter tech.
Expert Guidance:
Learn from industry professionals with real-world experience.
Capstone Project:
Showcase your coding abilities with a final project.
Data Science Course Outline
Week 1: Introduction to Data Science and Programming
- Discover what data science is and its importance in decision-making.
- Learn Python basics, including variables, data types, and loops.
Week 2: Data Collection, Cleaning, and Exploration
- Handle missing data, clean datasets, and explore data types.
- Perform basic exploratory analysis to understand data distributions.
Week 3: Python for Data Science – Intermediate
- Utilize dictionaries, functions, and error handling in Python.
- Work with key libraries like Pandas and NumPy for data manipulation.
Week 4: Exploratory Data Analysis (EDA)
- Uncover patterns with summary statistics and visualizations.
- Create insightful plots using Matplotlib and Seaborn.
Week 5: Data Wrangling and Advanced Visualization
- Reshape and transform data using Python.
- Learn advanced visualization techniques to present complex insights effectively.
Week 6: Statistics for Data Science
- Explore probability theory, hypothesis testing, and correlation.
- Perform regression analysis to evaluate relationships in data.
Week 7: Introduction to Machine Learning
- Understand the differences between supervised and unsupervised learning.
- Train models using algorithms like linear regression and k-means clustering.
Week 8: Advanced Machine Learning Techniques
- Enhance models with feature engineering and optimization techniques.
- Explore neural networks for deeper learning.
Week 9: SQL for Data Science
- Write SQL queries, joins, and aggregations for data preparation.
- Combine SQL with Python for robust data analysis workflows.
Week 10: Business Intelligence Tools
- Use Excel and Power BI to analyze and visualize data.
- Create dashboards, pivot tables, and conditionally formatted reports.
Week 11: Ethical Data Science and Emerging Trends
- Understand data privacy laws like the Nigerian Cybercrimes Act.
- Analyze ethical dilemmas and case studies on data misuse.
Week 12: Capstone Project Presentation and Career Preparation
- Finalize and present a real-world data science project.
- Prepare for job applications with resume-building and interview coaching.
Tools Covered
