DATA ANALYTICS WITH SQL
Python Power-Up: Uncover Insights, Transform Data!
An immersive 10-day programme designed to provide a comprehensive introduction to data analytics using Python and essential tools.
This course covers fundamental topics from Python programming to advanced data visualisation, ensuring students gain practical skills to analyse and interpret complex data sets effectively.
Learning Objectives
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​Skills and Knowledge: Python programming, data manipulation, statistical analysis, data visualisation, machine learning, and business intelligence.
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Outcomes: Mastery of data analytics tools and techniques, enhanced ability to perform data-driven analysis, and effective communication of data insights through visualisation.
Curriculum & Schedule
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​​Curriculum:
Day 1: Python Fundamentals
Day 2: Advanced Python and NumPy
Day 3: Data Manipulation with Pandas
Day 4: Data Visualisation with Matplotlib and Seaborn
Day 5: Statistics for Data Analysis
Day 6: Introduction to Machine Learning
Day 7: Advanced Machine Learning
Day 8: Data Extraction and Management
Day 9: Business Intelligence Tools
Day 10: Final Projects and Presentation
Modes of Instruction:
Workshops, Lectures, Field Trips, Interactive Activities, Group Discussions, Project Work
Instructors
​​​​Our instructors are confirmed before each course. Our instructors are industry experts with extensive experience and deep knowledge in their respective fields. They bring practical insights and academic excellence to the programme, ensuring that students receive the highest quality education and mentorship. ​
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Accommodation and Meals:
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Safe and comfortable accommodation near the learning site.
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Meal plans with dietary accommodations are available.
Pre-Arrival Support:
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Assistance with organisational documentation and flight bookings.
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Detailed orientation materials and pre-departure briefing.
On-Site Support:
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Staff availability for assistance and emergency contacts.
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Cultural activities and opportunities for local student interaction.
Post-Departure Follow-Up:
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Certification of completion.
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Alumni network for continued engagement and learning.
Logistics & Support​​
Costs & Funding​​