DATA SCIENCE & ANALYTICS RESOURCES
Dive deeper into Data Science & Analytics using the resources on this page. These resources were curated based on my learning experience. To stay up to date with new resources and other useful information, subscribe to my mailing list.
Presentations
Speaking Events
On Feb 11, 2021. I gave this presentation on "Telling your Data Story" at my first speaking event hosted by AfroTechGirls x IHS Towers for International Day of Women and Girls in Science.
COURSES
Use the link below for access to the list of online courses. Take note of the following:
Udemy - For paid Udemy courses, it is better to buy courses when they are on sales.
Coursera / Udacity / edX - You can enrol and audit the courses on these platforms for free, however, if you need a certificate, you would have to pay them.
Disclaimer: I have no affiliation with any of the platforms or trainers on the list in the Google Sheets. I simply found them useful on my data journey.
BOOKS
Excel Data Analysis by Hector Guerrero (2018)
An introductory Excel-based resource covering data analysis, business modelling, and simulation.
Think Stats by Allen Downey (2014)
An introduction to practical tools of exploratory data analysis.
SQL Notes for Professionals
A compilation of Stack Overflow documentation on SQL by GoalKicker.com
Python for Data Analysis by Wes McKinney
Data Wrangling with Pandas, Numpy, and iPython
Data Visualization and Exploration with R by Eric Pimpler (2017)
A Practical guide to using R, RStudio, and Tidyverse for data visualization, exploration, and data science applications.
Access PDF files via PDF Drive Website
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