With the Advanced Diploma in Python Programming and Applied Data Analytics, participants will learn more than just skillsets but develop a keen eye for problem analysis through the lens of data analytics.
DurationData is the new gold in the digital era, where companies are now learning how its power can change internal processes and unveil much more than trends or patterns. Get equipped with the right language in Data and discover better solutions to real-world problems.
With the Advanced Diploma in Python Programming and Applied Data Analytics, participants will learn more than just skillsets but develop a keen eye for problem analysis through the lens of data analytics.
Advanced Diploma in Python Programming and Applied Data Analytics offers students the opportunity to advance their careers and highly sought after skills for the new digital economy.
Students will learn how to use the right software and techniques to read visual and statistical data and present it in a way that solves real-world problems. The course emphasises collaboration, experiential learning and team building to solve data-driven challenges.
Learning Objectives:
Fundamental concepts in programming
Use of functions and data structures in Python
Object-oriented programming paradigm
Basic data wrangling in Python
Applied data analysis using Python
Build a strong analytical mindset along with the technical skills to uncover, analyse and evaluate patterns from data
Get an introduction to large scale data analysis with Cloud Computing by harnessing the power of virtual machines deployed on the Amazon Web Services cloud
Complete a practical capstone project to add to their portfolio to showcase their Python and Data Analysis competencies
Topics/Structure
Part 1: Professional Certificate in Python Programming
Basics of Python Programming
Data Structures in Python
Advanced Functions and Data Structures
Object-Oriented Programming
Basic Data Wrangling in Python
Capstone Project in Data Analytics
Part 2: Advanced Certificate in Applied Data Analytics
Applying Data Analytics to Sales and Marketing through Linear Models
Avoiding Pitfalls in Business Analysis through Model Specification
Business Intelligence with Web Scraping and Text Mining
Storytelling with Advanced Data Visualisations
Understanding Big Data with Cloud Computing
Executing Projects in Applied Data Analytics
Who should attend:
Aspiring data science professionals seeking to apply Python to real-world data problems e.g. business intelligence analysts, data engineers
Anyone with an interest in learning about the fundamentals of data science programming and applying advanced data analysis techniques
Professionals looking for a deeper understanding and hands-on experience with professional educators who are also industry experts
Managers looking to explore predictive modelling
Established in 2017, SMU Academy is the professional training arm of the Singapore Management University (SMU) and aims to grow the University’s impact, broaden its reach, and cultivate positive change through innovative continuing education offerings.
The Academy aspires to always be at the forefront of building capabilities and continuing professional development for an effective, innovative and responsive workforce in this ever-changing economy.
In partnership with the Government, leading businesses and the wider community, SMU Academy offers a comprehensive array of cutting-edge interdisciplinary programmes to support Singapore’s lifelong learning imperative, help organisations meet their reskilling goals, and equip individuals with the skills and competencies to develop a competitive advantage.
With over 800 quality programmes to choose from, our participants are empowered to thrive in the future of work through a practice-oriented, experiential, and interactive approach that integrates academic depth, real-world business cases and interdisciplinary learning.
Our Vision
To be Singapore's dominant provider of continuing education, and the premier provider in the region
Our Mission
To equip and empower Singapore's workforce with the competencies and career resilience required for this era of disruption
Our Values
Integrity, Accountability, Respect, Teamwork, Courage, Authenticity, Excellence
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