A Collection of Courses

If you are just getting into coding or want to brush up your skills, here is a collection of courses I have put together for various audiences. If you enjoy the content, please drop me a line and let me know.

Courses

Code Cryptography & Ciphers in Python

In this 6 module course, we will explore some basic programming concepts in Python to build ciphers, encode and decode secret messages, and learn about how cryptography works!

Courses Taught

  • ANA1001 Programming for Analytics - Python - Principles of programming and application design, fundamental programming tools, data types, arrays, control structures and fundamental algorithms, solve simple problems using code, breaking larger problems down into a series of smaller problems. Functions, classes and data visualizations.
  • EXL1002 Advanced Excel (Dashboards)- create meaningful spreadsheets to analyze, manage and communicate data in Excel and PowerBI
  • MKT1005 Marketing and Social Media Analytics - In this course, students will examine the key tools and methodologies used to examine customer engagement and new market opportunities critically and strategically using APIs, scraping, and various other technologies
  • ANA1000 Foundations of Business Analytics - data analytics and its role in strategic decision-making processes. Data science and key tools used in analytics for the collection, storage, management, and communication of data to various stakeholders
  • ISP3026 - In this course, students will familiarize themselves with the use of spreadsheets in the business world
  • ANA1003 Data Collection and Ethics - Collect data for analysis, ethical challenges in data collection and best practices for responsible data use
  • BTA1016 Connected Data - In this course, students will explore the world of connected data using Application Programming Interfaces (API), JSON (JavaScript Object Notation), REST Service Endpoints, and other connected technologies using Python Programming. Students will learn how to collect, clean, and access financial, open, and proprietary data sources using application programming interfaces. Students will explore data extraction, string matching, data analysis, sentiment analysis, interoperability, web crawlers, and other data manipulation methods and connect data between various resources using a variety of technologies.
  • ANA1011 and ANA1010 - Analytics Capstone and Placement