Introduction to Data Science and Databases
Setting the Foundation - Description: This day introduces the core concepts of data science and the role of databases. You'll learn what data science is, its applications, and why SQL is crucial. You'll also learn the basics of databases: what they are, different types (relational vs. NoSQL – briefly), and why relational databases (and SQL) are common. - Resources/Activities: - Expected Outcomes: Understand the fundamentals of Data Science and the role of databases. Be able to define "database" and "SQL" in simple terms.
Learning Objectives
- Understand the fundamentals
- Apply practical knowledge
- Complete hands-on exercises
SQL Fundamentals: SELECT and WHERE
- Description: This day dives into the basics of SQL. You'll learn about SQL syntax, the
SELECTstatement (how to retrieve data), and theWHEREclause (how to filter data). Focus on understanding table structures and identifying columns. - Resources/Activities: - Expected Outcomes: Be able to write basicSELECTqueries to retrieve data from a table and use theWHEREclause to filter the results. Understand table structure and identify data types.
Learning Objectives
- Understand the fundamentals
- Apply practical knowledge
- Complete hands-on exercises
SQL Fundamentals: Operators and Ordering
- Description: Building on Day 2, you'll learn about different SQL operators (
=,<>,>,<,>=,<=,AND,OR,NOT) for more complex filtering, and theORDER BYclause for sorting the results. - Resources/Activities: - Expected Outcomes: Be able to use various SQL operators for filtering, including logical operators. Be able to sort results usingORDER BY.
Learning Objectives
- Understand the fundamentals
- Apply practical knowledge
- Complete hands-on exercises
Data Management Basics: Data Types, and Normalization (Overview)
- Description: Introduce data types and how they are used for different kinds of data. Briefly introduce the concept of data normalization, emphasizing the importance of well-structured data. It is a very high level overview only. - Resources/Activities: - Expected Outcomes: Understand what data types are and the importance of choosing the correct ones. Have a high-level understanding of data normalization.
Learning Objectives
- Understand the fundamentals
- Apply practical knowledge
- Complete hands-on exercises
SQL: Aggregate Functions and Grouping
- Description: Learn about aggregate functions (e.g.,
COUNT,SUM,AVG,MIN,MAX) for summarizing data and theGROUP BYclause for grouping results. - Resources/Activities: - Expected Outcomes: Be able to use aggregate functions andGROUP BYto perform basic data analysis (e.g., calculating the average price, counting the number of items).
Learning Objectives
- Understand the fundamentals
- Apply practical knowledge
- Complete hands-on exercises
Joining Tables: `INNER JOIN`
- Description: Learn about joins, specifically the
INNER JOIN. Understand how to combine data from multiple tables based on a common column. This is fundamental for working with relational databases. - Resources/Activities: - Expected Outcomes: Understand how to useINNER JOINto combine data from different tables. Be able to write join queries.
Learning Objectives
- Understand the fundamentals
- Apply practical knowledge
- Complete hands-on exercises
SQL Practice and Review
- Description: This day is for consolidating your learning through practice and review. You will perform more complex queries using the skills learned throughout the week. - Resources/Activities: - Expected Outcomes: Solidify your understanding of SQL fundamentals, including SELECT, WHERE, operators, aggregate functions, and joins. Gain confidence in writing SQL queries. Identify areas for future learning.
Learning Objectives
- Understand the fundamentals
- Apply practical knowledge
- Complete hands-on exercises
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