Über diesen Kurs

114,657 kürzliche Aufrufe
Zertifikat zur Vorlage
Erhalten Sie nach Abschluss ein Zertifikat
100 % online
Beginnen Sie sofort und lernen Sie in Ihrem eigenen Tempo.
Flexible Fristen
Setzen Sie Fristen gemäß Ihrem Zeitplan zurück.
Stufe „Mittel“

Some statistics is recommended and at least 2-years business experience.

Ca. 15 Stunden zum Abschließen
Englisch
Untertitel: Englisch

Was Sie lernen werden

  • 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

Kompetenzen, die Sie erwerben

A/B TestingQuery StringData AnalysisPredictive AnalyticsSQL
Zertifikat zur Vorlage
Erhalten Sie nach Abschluss ein Zertifikat
100 % online
Beginnen Sie sofort und lernen Sie in Ihrem eigenen Tempo.
Flexible Fristen
Setzen Sie Fristen gemäß Ihrem Zeitplan zurück.
Stufe „Mittel“

Some statistics is recommended and at least 2-years business experience.

Ca. 15 Stunden zum Abschließen
Englisch
Untertitel: Englisch

von

University of California, Davis-Logo

University of California, Davis

Lehrplan - Was Sie in diesem Kurs lernen werden

Woche
1

Woche 1

5 Stunden zum Abschließen

Data of Unknown Quality

5 Stunden zum Abschließen
12 Videos (Gesamt 85 min), 3 Lektüren, 2 Quiz
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 Lektüren
A Note From UC Davis10m
Connecting to Mode Analytics20m
Not Dumb Questions10m
2 praktische Übungen
Are You Connected to Mode Analytics?5m
Module 1 Quiz30m
Woche
2

Woche 2

2 Stunden zum Abschließen

Creating Clean Datasets

2 Stunden zum Abschließen
10 Videos (Gesamt 53 min)
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 praktische Übungen
Data Types (Quiz)10m
Dependencies (Quiz)8m
Turn a Clean Query Into a Table (Quiz)2m
Module 2 Quiz30m
Woche
3

Woche 3

3 Stunden zum Abschließen

SQL Problem Solving

3 Stunden zum Abschließen
11 Videos (Gesamt 64 min)
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
Promo Email (Solution)11m
Product Analysis4m
Product Analysis (Solution)15m
Coding with Style2m
2 praktische Übungen
Reorder and Connect Tables10m
Module 3 Quiz30m
Woche
4

Woche 4

5 Stunden zum Abschließen

Case Study: AB Testing

5 Stunden zum Abschließen
10 Videos (Gesamt 72 min), 2 Lektüren, 2 Quiz
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 Lektüren
Additional Thoughts for the Final Project5m
Additional Practice and Reading (Optional)10m
1 praktische Übung
Prepared for the Final Project?10m

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Über den Spezialisierung Learn SQL Basics for Data Science

This Specialization is intended for a learner with no previous coding experience seeking to develop SQL query fluency. Through four progressively more difficult SQL projects with data science applications, you will cover topics such as SQL basics, data wrangling, SQL analysis, AB testing, distributed computing using Apache Spark, and more. These topics will prepare you to apply SQL creatively to analyze and explore data; demonstrate efficiency in writing queries; create data analysis datasets; conduct feature engineering, use SQL with other data analysis and machine learning toolsets; and use SQL with unstructured data sets....
Learn SQL Basics for Data Science

Häufig gestellte Fragen

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