Mastering SQL using Postgresql
- Description
- Curriculum
- FAQ
- Reviews
About Postgresql
Postgresql is one of the leading datatabase. It is an open source database and used for different types of applications.
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Web Applications
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Mobile Applications
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Data Logging Applications
Even though it is relational database and best suited for transactional systems (OLTP), it’s flavors such as Redshift are extensively used for Analytical or Decision Support Systems.
Course Details
This course is primarily designed to go through basic and advanced SQL using Postgres Database. You will be learning following aspects of SQL as well as Postgres Database.
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Setup Postgres Database using Docker
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Connect to Postgres using different interfaces such as psql, SQL Workbench, Jupyter with SQL magic etc.
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Understand utilities to load the data
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Performing CRUD or DML Operations
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Writing basic SQL Queries such as filtering, joins, aggregations, sorting etc
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Creating tables, constraints and indexes
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Different partitioning strategies while creating tables
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Using pre-defined functions provided by Postgresql
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Writing advanced SQL queries using analytic functions
Desired Audience
Here are the desired audience for this course.
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College students and entry level professionals to get hands on expertise with respect to SQL to be prepared for the interviews.
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Experienced application developers to understand key aspects of Databases to improve their productivity.
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Data Engineers and Data Warehouse Developers to understand the relevance of SQL and other key concepts.
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Testers to improve their query writing abilities to validate data in the tables as part of running their test cases.
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Business Analysts to write ad-hoc queries to understand data better or troubleshoot data quality issues.
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Any other hands on IT Professional who want to improve their query writing and tuning capabilities.
Developers from non CS or IT background at times struggle in writing queries and this course will provide required database skills to take their overall application development skills to next level.
Key Objectives
The course is designed for the professionals to achieve these key objectives related to databases using Postgresql.
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Ability to interpret data models.
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Using database IDEs to interact with databases.
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Data loading strategies to load data into database tables.
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Write basic as well as advanced SQL queries.
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Ability to create tables, partition tables, indexes etc.
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Understand and use constraints effectively based up on the requirements.
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Effective usage of functions provided by Postgresql.
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Ability to write queries using advanced features such as Analytic Functions
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Differences between RDBMS and Data Warehouse concepts by comparing Postgresql with Redshift.
“This course is primarily designed to gain key database skills for application developers, data engineers, testers, business analysts etc.”
Recommended Training Approach
Here are the details related to the training approach.
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It is self paced with reference material, code snippets and videos.
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One can use existing Postgres Database or setup their own environment using Docker (look at bonus material).
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All sections will be available from Day 1. However, we recommend to set a target between 1 to 2 sections per week.
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It is highly recommended to take care of the exercises at the end to ensure that you are able to meet all the key objectives for each module.
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Support will be provided using Udemy Platform. Just send us the question and our team will respond. Please do not send personal messages in Udemy.
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1Must Watch - IntroductionVideo lesson
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2For Udemy new comers - Interface to take the courseVideo lesson
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3For Udemy new comers - Navigating through the courseVideo lesson
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4Must Watch - Resources for the courseVideo lesson
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5Resources - PDFText lesson
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6Must Watch - How to get support for this course using Q&A?Video lesson
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7Connecting to DatabaseVideo lesson
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8Using psqlVideo lesson
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9Setup Postgres using DockerVideo lesson
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10Setup SQL WorkbenchVideo lesson
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11SQL Workbench and PostgresVideo lesson
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12SQL Workbench FeaturesVideo lesson
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13Data Loading UtilitiesVideo lesson
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14Loading Data - DockerVideo lesson
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15Exercise - Loading DataText lesson
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24Standard TransformationsVideo lesson
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25Overview of Data ModelVideo lesson
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26Define Problem Statement – Daily Product RevenueVideo lesson
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27Preparing TablesVideo lesson
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28Selecting or Projecting DataVideo lesson
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29Filtering DataVideo lesson
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30Joining Tables – InnerVideo lesson
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31Joining Tables – OuterVideo lesson
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32Performing AggregationsVideo lesson
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33Sorting DataVideo lesson
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34Solution – Daily Product RevenueVideo lesson
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35Exercises - Basic SQL QueriesVideo lesson
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36DDL - Data Definition LanguageVideo lesson
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37Overview of Data TypesVideo lesson
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38Adding or Modifying ColumnsVideo lesson
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39Different Types of ConstraintsVideo lesson
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40Managing ConstraintsVideo lesson
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41Indexes on TablesVideo lesson
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42Indexes for ConstraintsVideo lesson
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43Overview of SequencesVideo lesson
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44Truncating TablesVideo lesson
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45Dropping TablesVideo lesson
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46Exercises - Managing Database Objects - Pre-requisitesText lesson
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47Exercise 1 - Adding SequencesText lesson
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48Exercise 2 - Adding Foreign Keys to TablesText lesson
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49Overview of PartitioningVideo lesson
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50List PartitioningVideo lesson
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51Managing Partitions - ListVideo lesson
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52Manipulating DataVideo lesson
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53Range PartitioningVideo lesson
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54Managing Partitions - RangeVideo lesson
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55Repartitioning - RangeVideo lesson
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56Hash PartitioningVideo lesson
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57Managing Partitions - HashVideo lesson
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58Usage ScenariosVideo lesson
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59Sub PartitioningVideo lesson
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60Exercise - Partitioning TablesVideo lesson
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61Overview of Pre-Defined FunctionsVideo lesson
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62String Manipulation FunctionsVideo lesson
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63Date Manipulation FunctionsVideo lesson
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64Overview of Numeric FunctionsVideo lesson
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65Data Type ConversionVideo lesson
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66Handling Null ValuesVideo lesson
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67Using CASE and WHENVideo lesson
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68Exercises - Pre-Defined Functions - Pre-requisitesText lesson
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69Exercise 1 - Get number of users created per yearText lesson
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70Exercise 2 - Get the day nameText lesson
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71Exercise 3 - Get user details added in 2019Text lesson
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72Exercise 4 - Get user count by genderText lesson
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73Exercise 5 - Get last 4 digits of unique idsText lesson
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74Exercise 6 - Get user count by country codeText lesson
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75Overview of ViewsVideo lesson
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76Named Queries - Using WITH ClauseVideo lesson
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77Overview of Sub QueriesVideo lesson
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78CTAS - Create Table As SelectVideo lesson
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79Advanced DML OperationsVideo lesson
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80Merging or Upserting DataVideo lesson
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81Overview of Analytic FunctionsVideo lesson
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82Analytic Functions – AggregationsVideo lesson
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83Cumulative or Moving AggregationsVideo lesson
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84Analytic Functions – WindowingVideo lesson
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85Analytic Functions – RankingVideo lesson
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86Analytic Functions - FilteringVideo lesson
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87Ranking and Filtering - RecapVideo lesson
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88Exercises - Analytics Functions - PrerequisitesText lesson
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