Download and Learn Learn SQL Udacity Nanodegree Course 2023 for free with google drive download link.

Master SQL, the core language for Big Data analysis, and enable insight-driven decision-making and strategy for your business.

What You’ll Learn in Learn SQL Nanodegree

Learn SQL

2 months to complete

Perform analysis on data stored in relational and non-relational database systems to power strategic decision-making. Learn to determine, create, and execute SQL and NoSQL queries that manipulate and dissect large scale datasets. Begin by leveraging the power of SQL commands, functions, and data cleaning methodologies to join, aggregate, and clean tables, as well as complete performance tune analysis to provide strategic business recommendations. Finally, apply relational database management techniques to normalize data schemas in order to build the supporting data structures for a social news aggregator.

Learn SQL Nanodegree Intro Video:

Prerequisite knowledge

Basic understanding of data types (e.g., string, integer, etc.)

We strongly believe that anyone who has basic computer skills can understand and write SQL and NoSQL languages. Therefore, the prerequisites for this Nanodegree program are the following:

Basic computer skills

  • Familiarity with Operating systems (Windows and MacOS)
  • Familiarity and comfort using word processing programs (Microsoft Word, Google Docs, PDF)
  • Comfortable using presentation software (PowerPoint, Keynote, Google Slides)
  • Comfortable using Spreadsheet programs (Microsoft Excel, Google Spreadsheets)

Basic understanding of data types (e.g., string, integer)

  • Comfortable identifying the type of data held in a data table.

Introduction to SQL

Learn how to execute core SQL commands to define, select, manipulate, control access, aggregate and join data and data tables. Understand when and how to use subqueries, several window functions, as well as partitions to complete complex tasks. Clean data, optimize SQL queries, and write select advanced JOINs to enhance analysis performance. Explain which cases you would want to use particular SQL commands, and apply the results from queries to address business problems.

Project – Deforestation Exploration

SQL is most commonly used to manipulate and analyze data to inform decision making. In this project, you will

act as a data analyst for an organization on a mission to reduce deforestation around the world and to raise awareness about this important environmental topic. First, you’ll clean any erroneous values in a table, join that table to another lookup table to bring in a new categorical and quantitative variable, and return a new view of all categories greater than a reference value. Then, you will create and execute SQL queries to perform calculations using variables from those disparate data sets to answer questions for stakeholders. Your analysis will help you better understand which countries and regions around the world seem to have forests that have been shrinking in size, and also which countries and regions have the most significant forest area. Lastly, you will compile your answers and summarize your analysis into a report that can be shared with a leadership team.

Management of Relational & Non-Relational Databases

Databases need to be structured properly to enable efficient and effective querying and analysis of data. Build normalized, consistent, and performant relational data models. Use SQL Database Definition Language (DDL) to create the data schemas designed in Postgres and apply SQL Database Manipulation Language (DML) to migrate data from a denormalized schema to a normalized one. Understand the tradeoffs between relational databases and their non-relational counterparts, and justify which one is best for different scenarios. With a radical shift of paradigms, learn about MongoDB and Redis to get an understanding of the differences in behaviors and requirements for non-relational databases.

Project – Udiddit, A Social News Aggregator

Many of today’s most popular web applications have supporting database structures that allow them to customize and aggregate information within seconds. In this project, you will build the supporting data structures for Udiddit, a social media news aggregator site. First, you’ll investigate the provided data model for potential errors such as lack of normalization, consistency rules, and proper indexing. Then, you will create a new, normalized database using DDL based on the denormalized one that is provided. Lastly, you will write DML queries to migrate the data from the denormalized schema to their normalized schema.

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