About this Course

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Intermediate Level
Approx. 35 hours to complete
English
Subtitles: English

What you will learn

  • ​Develop a project proposal and select your data

  • ​Perform descriptive statistics as part of your exploratory analysis

  • Develop metrics and perform advanced techniques in SQL

  • P​resent your findings and make recommendations

Skills you will gain

Presentation SkillsData AnalysisSQLcreating metricsExploratory Data Analysis
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Intermediate Level
Approx. 35 hours to complete
English
Subtitles: English

Offered by

University of California, Davis logo

University of California, Davis

Syllabus - What you will learn from this course

Week
1

Week 1

9 hours to complete

Getting Started and Milestone 1: Project Proposal and Data Selection/Preparation

9 hours to complete
12 videos (Total 48 min), 4 readings, 1 quiz
12 videos
Milestone 1 Introduction1m
The Proposal Process3m
Import of Elon Musk Data5m
Initial Feature Exploration / Hypotheses8m
Entity Relationship Diagram (ERD) for Analysis2m
Data Models, Part 1: Thinking About Your Data5m
Data Models, Part 2: The Evolution of Data Models3m
Data Models, Part 3: Relational vs. Transactional Models5m
SQL in Notebooks3m
Import Data2m
Introduction of Data of Unknown Quality1m
4 readings
A Note from UC Davis10m
Choose Your Client/Dataset30m
Connecting to Mode Analytics20m
Welcome to Peer Review Assignments!10m
Week
2

Week 2

8 hours to complete

Milestone 2: Descriptive Stats & Understanding Your Data

8 hours to complete
7 videos (Total 39 min), 1 reading, 1 quiz
7 videos
Importance of Understanding Your Data2m
Foundational Stats in SQL/Sheets9m
Pandas Teach on Stats5m
Visualization with raw graphics.io6m
Impact of Findings on Hypotheses5m
Statistics Refresher (Optional)8m
1 reading
Additional Resources20m
Week
3

Week 3

8 hours to complete

Milestone 3: Beyond Descriptive Stats (Dive Deeper/Go Broader)

8 hours to complete
5 videos (Total 28 min)
5 videos
TF-IDF for Word Frequency / Theme Analysis7m
Text Analysis of Elon Musk Tweets5m
Create a New Metric5m
Analyze Results7m
Week
4

Week 4

10 hours to complete

Milestone 4: Presenting Your Findings (Storytelling)

10 hours to complete
12 videos (Total 61 min), 7 readings, 1 quiz
12 videos
Sample Output / Presentation7m
Module Introduction1m
Working with Text Strings7m
Working with Date and Time Strings5m
Date and Time Strings Examples5m
Case Statements7m
Views6m
Data Governance and Profiling5m
Using SQL for Data Science, Part 15m
Using SQL for Data Science, Part 26m
Course Summary57s
7 readings
Resources on the Who, What, Why, and How20m
Resources on Audience30m
Dashboard and Storytelling with Data10m
Finding the Story10m
Prioritizing, Optimizing and Designing the Data Story10m
Tell the Story of Your Data10m
Additional SQL Resources to Explore15m

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About the Learn SQL Basics for Data Science Specialization

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

Frequently Asked Questions

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