This course allows you to apply the SQL skills taught in “SQL for Data Science” to four increasingly complex and authentic data science inquiry case studies. We'll learn how to convert timestamps of all types to common formats and perform date/time calculations. We'll select and perform the optimal JOIN for a data science inquiry and clean data within an analysis dataset by deduping, running quality checks, backfilling, and handling nulls. We'll learn how to segment and analyze data per segment using windowing functions and use case statements to execute conditional logic to address a data science inquiry. We'll also describe how to convert a query into a scheduled job and how to insert data into a date partition. Finally, given a predictive analysis need, we'll engineer a feature from raw data using the tools and skills we've built over the course. The real-world application of these skills will give you the framework for performing the analysis of an AB test.
Data Wrangling, Analysis and AB Testing with SQL
ofrecido por
Universidad de California, Davis
Acerca de este Curso
Qué aprenderás
Validate and clean a dataset
Assess and create datasets to answer your questions
Solve problems using SQL
Build a simple testing framework to touch on AB Testing
Habilidades que obtendrás
A/B TestingQuery StringData AnalysisPredictive AnalyticsSQL
Programa - Qué aprenderás en este curso
Semana
15 horas para completar
Data of Unknown Quality
In this module, you will be able to create trustworthy analysis from a new set of data. You will be able to coalesce some nulls and identify unreliable data and discover reasons why data might be missing. You will also be able to answer ambiguous questions by defining new metrics.
12 videos (Total 85 minutos), 3 readings, 2 quizzes
12 videos
Introduction of Data of Unknown Quality1m
Introduction to the Course Dataset10m
Error Codes (Solution)13m
Flexible Data Formats6m
Flexible Data Formats (Solution)5m
Identifying Unreliable Data + Nulls3m
Unreliable Data - Part 1 (Solution)4m
Unreliable Data -Part 2 (Solution)7m
Unreliable Data - Part 3 (Solution)8m
Answering Ambiguous Questions3m
Users Table (Solution)16m
3 lecturas
A Note From UC Davis10m
Connecting to Mode Analytics20m
Not Dumb Questions10m
2 ejercicios de práctica
Are You Connected to Mode Analytics?5m
Module 1 Quiz30m
Semana
22 horas para completar
Creating Clean Datasets
In this module, you will be able to name the main the categories of data types. You will be able to explain how the unfiltered data can be manipulated into a table where you can conduct data analysis. You will be able to discuss why a data warehouse is separate from a production database, and you will be able to use the tools you learned to create your own trustworthy tables.
10 videos (Total 53 minutos), 4 quizzes
10 videos
Tools of the Trade: Coding Guide with Sublime Text (Optional)3m
Data Types4m
What is a Dependency?5m
Create a View-Item Table2m
Turn a Clean Query Into a Table (Activity/Solution)9m
Hierarchy of Data2m
Create User Info Table3m
Create a User Snapshot Table (Activity/Solution)13m
Partitions in Hive (Optional)5m
4 ejercicios de práctica
Data Types (Quiz)10m
Dependencies (Quiz)8m
Turn a Clean Query Into a Table (Quiz)2m
Module 2 Quiz30m
Semana
33 horas para completar
SQL Problem Solving
In this module, you will be able to map out your joins and be able to highlight the level of detail needed for different kinds of questions. You will be able to practice answering data questions, which should help you feel ready to get asked a whole slough of questions, vague questions, ambiguous questions, or even poorly worded questions. Finally, you will develop a strategy for answering all those questions using data.
11 videos (Total 64 minutos), 2 quizzes
11 videos
Map Out Your Joins4m
Test Queries vs Final Queries3m
Example: Create an Aggregate Table with a Rolling Date Period2m
Rolling Orders (Solution)10m
Find Each User's Most Recently Viewed Page for an Email Campaign2m
Review Windowing Functions3m
Find the Difference Between Functions (Solution)11m
Product Analytics4m
Product Analytics (Solution)15m
Coding with Style2m
2 ejercicios de práctica
Reorder and Connect Tables10m
Module 3 Quiz30m
Semana
45 horas para completar
Case Study: AB Testing
In this module, you will be able to use your SQL skills to set up a basic AB testing system. You will be able to apply hypothesis testing to prove or disprove a hypothesis about how user behavior changed. You will be able to test and interpret the results using a metric or metrics that are tied directly to some business metrics. You will be able to test your SQL skills and give you the base experience you need to learn anything more complicated in terms of AB testing in the future.
10 videos (Total 72 minutos), 2 readings, 2 quizzes
10 videos
Statistics Refresher (Optional)8m
Test Assignments8m
Test Assignments (Solution)11m
Create a New Metric5m
Creating a New Metric (Solution)9m
Analyze Results7m
Analyzing Results (Solution)13m
Peer Review Overview3m
Course Summary1m
2 lecturas
Additional Thoughts for the Final Project5m
Additional Practice and Reading (Optional)10m
1 ejercicio de práctica
Prepared for the Final Project?10m
Instructor
Katrina Glaeser
Data Scientist at ScribdContinuing and Professional Education
Acerca de Universidad de California, Davis
UC Davis, one of the nation’s top-ranked research universities, is a global leader in agriculture, veterinary medicine, sustainability, environmental and biological sciences, and technology. With four colleges and six professional schools, UC Davis and its students and alumni are known for their academic excellence, meaningful public service and profound international impact.
Preguntas Frecuentes
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