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Data Structures Tutorial | Codeskulls

Data structures and algorithms are the most important topic in computer science . this is used to store data efficiently and can be managed easily. Data structures have topics like Stacks, Queues, Linked lists, Trees and so many important concepts, these are explained with code snippets and video tutorials

Complete SQL Mastery

You'll get in-depth knowledge and skills that are built-up sequentially to make sure you don't have any gaps. It takes you from whatever level you're at to advanced skills, without delay - using real-life examples and applicable concepts to get you ready for any SQL job or project

The SQL Tutorial for Data Analysis

This tutorial is designed for people who want to answer questions with data. For many, SQL is the "meat and potatoes" of data analysis'it's used for accessing, cleaning, and analyzing data that's stored in databases. In particular, this tutorial is meant for aspiring analysts who have used Excel a little bit but have no coding experience.

CS109 Data Science

Learning from data in order to gain useful predictions and insights. This course introduces methods for five key facets of an investigation: data wrangling, cleaning, and sampling to get a suitable data set; data management to be able to access big data quickly and reliably; exploratory data analysis to generate hypotheses and intuition; prediction based on statistical methods such as regression and classification; and communication of results through visualization, stories, and interpretable summaries.

The R Manuals

The following manuals for R were created on Debian Linux and may differ from the manuals for Mac or Windows on platform-specific pages, but most parts will be identical for all platforms.

Getting Started with CSS Grid

This module provides a gentle beginning to your path towards CSS mastery with the basics of how it works, what the syntax looks like, and how you can start using it to add styling to HTML.

Learn Data Analytics in Bash

If you go through these 7 articles, you will learn how to do basic data cleaning, data formatting and analytics via the command line. On the top of that you will have your own data server to practice _ we will use that not only here, but in my future SQL and Python tutorials too.

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