60 Days Of Data Science

Current day: 7

Days missed: 3


  1. Understand Data Science Interviews
    • Interview process
    • Sample Questions
  2. Reviewing CSC343 - Part 1
    • Integrity Constraints
    • Keys (superkey, candidate, primary, foreign)
    • Entity Relationship (ER) Diagrams
  3. Reviewing CSC343 - Part 2
    • Data Definition Language (DDL)
    • Data Manipulation Language (DML)
  4. Reviewing CSC343 - Part 3
    • Aggregation
    • Joins
    • Triggers
  5. Reviewing conditional probability:
  6. Reviewing CSC343 - Part 4
    • Relational Algebra (RA)
    • Views and Indexes
  7. Reviewing Bayes Theorem

Goals:

  • 1 sql practice question a day

Topics I want to touch on:

  • Review CSC343
  • Brush up on SQL
  • Product-sense
  • Quantitative statistical/probability concepts review
    • Bayes Theorem
    • Confidence Interval
    • Hypothesis Testing
    • P-Value
    • Basic Distributions (i.e. Bernoulli, Binomial, Normal)
    • Naive Bayes
  • Review NN and ML
    • Redo/revive past projects
  • Data cleaning
  • Web scraping
  • Big data