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Python for Data Science, AI & Development

This course provided by IBM will not teach everything about Python, but it gives me the tools to work as a data scientist and enough knowledge to continue to expand Python learning. The following are the notes I took during this course. Since that I’ve learned Python for everybody on Coursera before, so this note will only contain the necessary outlines and newly learned content.

Data Visualization and Dashboards with Excel and Cognos

“A picture is worth 1,000 words”. This Course provided by IBM endows me with the ability to effectively create data visualizations, such as charts or graphs, with Excel and IBM Cognos Analytics, without having to write any code. It also elevates my confidence level in creating intermediate level data visualizations after numerous hands-on labs and the final project. The following are the notes I took during this course.

Excel Basics for Data Analysis

Excel is an essential tool for working with data - whether for business, marketing, data analytics, or research. Throughout this course provided by IBM, I’ve gained valuable experience in cleansing and wrangling data using functions and then analyze data using techniques like filtering, sorting and creating pivot tables. The following are the notes I took during this course.

Introduction to Data Analytics

The Introduction to Data Analytics course provided by IBM is the first in a series of courses designed to prepare me for a career as a junior data analyst. The course introduces me to the core concepts, processes, and tools I need to gain entry into data analytics. The following are the notes I took during this course.

Data Science Math Skills

Data Science Math Skills course provided by DUKE UNIVERSITY is designed to teach the vocabulary, notation, concepts, and algebra rules that all data scientists must know before moving on to more advanced material. The following are the notes I took during this course.




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