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Practical Data Analysis with SQL

Gain insights into advanced SQL data analysis techniques. Explore producing descriptive statistics, handling missing data, and analyzing time series. Discover aggregating results and preparing data for analysis.

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Overview

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SQL databases have been around since the 1970s. Some of the smartest people in the world worked on making it easy to slice, dice, fetch and manipulate data quickly and efficiently. SQL databases have come such a long way that many developers and data scientists have lost track of what they can do with plain SQL. In this course, you will learn advanced concepts and techniques for analyzing data using SQL. You will obtain hands-on experience in producing descriptive statistics, breaking a large query into multiple steps and samples, and cleaning and preparing data for analysis. You will learn how to produce aggregate results and subtotals, analyze a time series using cumulative and window frames, how to handle and fill missing data, and how to produce buckets and histograms. After completing this course, you will be able to gain actionable insight from your data using nothing but SQL!

SQL databases have been around since the 1970s. Some of the smartest people in the world worked on making it easy to slice, dice...Show More

WHAT YOU'LL LEARN

Familiarity with advanced concepts and techniques for analyzing data using SQL

The ability to generate random data for training and benchmarking

Familiarity with datasets through descriptive statistics and histograms

Working knowledge of binning techniques and time series analysis

The ability to produce cumulative aggregation, subtotals, cubes, pivot tables, and data summaries for analysis

The ability to clean and prepare data with interpolation and linear regression

Familiarity with advanced concepts and techniques for analyzing data using SQL

TAKEAWAY SKILLS

SQL

Aggregation

Data Science

Data Cleaning

Database

Content

30 Lessons6 Quizzes

Introduction

1 Lessons

Get familiar with SQL's history, standards, and basics for effective data analysis.

Introduction

Basic SQL for Data Analysis

8 Lessons

Get started with basic SQL query structure, data generation, and creating CTEs for analysis.

Anatomy of an SQL query

Common Table Expressions

Generating Data

Exercise: Generate a Date Dimension

Random Data

Sampling

Example: Train/Test Split with SQL

Quiz: Basic SQL for Data Analysis

Descriptive Statistics

3 Lessons

Examine descriptive statistics using SQL for numerical and categorical series analysis.

Describing a Series

Describing a Categorical Series

Quiz: Descriptive Statistics

Grouping and Subtotals

4 Lessons

Apply your skills to aggregate, analyze, and generate detailed subtotals using SQL techniques.

Grouping

Conditional Aggregates

Subtotals

Quiz: Grouping and Subtotals

Running and Cumulative Aggregation

5 Lessons

Dig deeper into running and cumulative aggregation techniques using SQL window functions.

Aggregate Expressions

Window Frames

Next and Previous Rows

Ranking

Quiz: Running and Cumulative Aggregation

Interpolation

4 Lessons

Focus on handling missing values, filling techniques, and linear interpolation for data accuracy.

Comparing Missing Values

Back Filling and Forward Filling

Linear Interpolation

Quiz: Interpolation

Binning

4 Lessons

Approach data binning, including equal-height and equal-width techniques, for effective categorization.

Conclusion

1 Lessons

Sharpen your skills in using SQL for comprehensive data analysis and real-world challenges.

Conclusion

Certificate of Completion

Showcase your accomplishment by sharing your certificate of completion.

Course Author:

Haki Benita

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