The Right Path To A Career In Data Science and Data Analysis.

Welcome to Notitia.site!

One of the challenges you would experience as an aspiring data scientists is not knowing what to learn next to advance your career.

First, there are so many topics that you need to master. Many companies simply see you as “data magicians.” Here’s a bunch a data, now can you make us a lot more money?

Second, because this is a relatively new field, so many hidden gem resources are scattered across the web, waiting to be found.

Therefore, the onus is on us as aspiring data professionals to keep our skills sharp and continue to round out our skill-set, and we hope to help you on that quest.

Data science is a rich and diverse field that’s growing rapidly, and we’re learning alongside everyone else. If you’ve come across a great resource that’s not on here, we’d love for you to share it with us!

Some topics on here have entire sub-industries devoted to them. Let this be a curated sampling across a variety of topics and a quick start reference guide for you as you“choose your own adventure.”

Part one contains STATISTICS & PROBABILITY, PROGRAMMING.


Part two contains LINEAR ALGEBRA, MULTIVARIABLE CALCULUS.

Part three contains DATA COLLECTION, SQL, DATA VISUALIZATION, GENERAL MACHINE LEARNING,

Part Four Contains COMMUNICATION, BUSINESS PERSPECTIVE,
CREATIVITY & INNOVATION, BUSINESS ANALYTICS.

Finally Part Five Contains TEXT ANALYSIS (NLP), RECOMMENDATION SYSTEMS, TIME SERIES ANALYSIS, DEEP LEARNING, ANOMALY DETECTION



TABLE OF CONTENTS

  1. Statistics & Probability
  2. Programming
  3. Linear Algebra
  4. Multivariable Calculus
  5. Data Collection
  6. SQL
  7. Data Visualization
  8. General Machine Learning
  9. Communication
  10. Business perspective
  11. Creativity & Innovation
  12. Business Analytics
  13. Text Analysis (NLP)
  14. Recommendation Systems
  15. Time Series Analysis
  16. Deep Learning
  17. Anomaly Detection

Continue to part one

Leave a Reply

Your email address will not be published. Required fields are marked *