Data science is a dynamic and growing career field that demands knowledge and skills-based in SQL to be successful. This course is designed to provide you with a solid foundation in applying SQL skills to analyze data and solve real business problems.
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Spécialisation Learn SQL Basics for Data ScienceUniversité de Californie à DavisÀ propos de ce cours
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Certificat partageable
Obtenez un Certificat lorsque vous terminez
100 % en ligne
Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Cours 4 sur 4 dans le
Dates limites flexibles
Réinitialisez les dates limites selon votre disponibilité.
Niveau intermédiaire
Approx. 35 heures pour terminer
Anglais
Sous-titres : Anglais
Ce que vous allez apprendre
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
Present your findings and make recommendations
Compétences que vous acquerrez
Presentation SkillsData AnalysisSQLcreating metricsExploratory Data Analysis
Certificat partageable
Obtenez un Certificat lorsque vous terminez
100 % en ligne
Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Cours 4 sur 4 dans le
Dates limites flexibles
Réinitialisez les dates limites selon votre disponibilité.
Niveau intermédiaire
Approx. 35 heures pour terminer
Anglais
Sous-titres : Anglais
Offert par
Université de Californie à 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.
Programme du cours : ce que vous apprendrez dans ce cours
9 heures pour terminer
Getting Started and Milestone 1: Project Proposal and Data Selection/Preparation
In this first milestone, you will select your client and import your dataset. You will begin to explore your data to understand it and make assumptions about your data. You will draft a project proposal to act as a guide as you explore your data and prove or disprove your hypotheses.
9 heures pour terminer
12 vidéos (Total 48 min), 4 lectures, 1 quiz
12 vidéos
Milestone 1 Introduction1 min
The Proposal Process3 min
Import of Elon Musk Data5 min
Initial Feature Exploration / Hypotheses8 min
Entity Relationship Diagram (ERD) for Analysis2 min
Data Models, Part 1: Thinking About Your Data5 min
Data Models, Part 2: The Evolution of Data Models3 min
Data Models, Part 3: Relational vs. Transactional Models5 min
SQL in Notebooks3 min
Import Data2 min
Introduction of Data of Unknown Quality1 min
4 lectures
A Note from UC Davis10 min
Choose Your Client/Dataset30 min
Connecting to Mode Analytics20 min
Welcome to Peer Review Assignments!10 min
8 heures pour terminer
Milestone 2: Descriptive Stats & Understanding Your Data
In this milestone, you will start to execute your project proposal. You will start looking at your data and perform initial statistic models to explore your data and determine what you have available to you.
8 heures pour terminer
7 vidéos (Total 39 min), 1 lecture, 1 quiz
7 vidéos
Importance of Understanding Your Data2 min
Foundational Stats in SQL/Sheets9 min
Pandas Teach on Stats5 min
Visualization with raw graphics.io6 min
Impact of Findings on Hypotheses5 min
Statistics Refresher (Optional)8 min
1 lecture
Additional Resources20 min
8 heures pour terminer
Milestone 3: Beyond Descriptive Stats (Dive Deeper/Go Broader)
In this milestone, you will go beyond the descriptive statistics you completed in the last milestone. This milestone is really about diving deeper to analyze your data, beyond descriptive stats. Maybe you need to analyze qualitative data or textual data to get a full picture.
8 heures pour terminer
5 vidéos (Total 28 min)
5 vidéos
TF-IDF for Word Frequency / Theme Analysis7 min
Text Analysis of Elon Musk Tweets5 min
Create a New Metric5 min
Analyze Results7 min
10 heures pour terminer
Milestone 4: Presenting Your Findings (Storytelling)
In this milestone, you will present your findings. You will identify your audience and create a presentation tailored to them. You will be able to tell the story of analyses and make recommendations.
10 heures pour terminer
12 vidéos (Total 61 min), 7 lectures, 1 quiz
12 vidéos
Sample Output / Presentation7 min
Module Introduction1 min
Working with Text Strings7 min
Working with Date and Time Strings5 min
Date and Time Strings Examples5 min
Case Statements7 min
Views6 min
Data Governance and Profiling5 min
Using SQL for Data Science, Part 15 min
Using SQL for Data Science, Part 26 min
Course Summary57s
7 lectures
Resources on the Who, What, Why, and How20 min
Resources on Audience30 min
Dashboard and Storytelling with Data10 min
Finding the Story10 min
Prioritizing, Optimizing and Designing the Data Story10 min
Tell the Story of Your Data10 min
Additional SQL Resources to Explore15 min
À propos du Spécialisation 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.
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