#learn SQL

[tpointtech1]

The Complete SQL Tutorial for Beginners: Learn from the Ground Up

Start your data journey with The Complete SQL Tutorial for Beginners. Learn SQL from the ground up with easy-to-follow lessons and real-world examples!

[joneswebgoods]

Learn SQL Easy

If you're interested in learning SQL (Structured Query Language), the standard database access language, try learning from a place called SQL Easy. They provide a great self-learning environment where you can learn this language or troubleshoot how to code something.

I'm still learning SQL, even after using it for a few years. I came here looking for a code to pull records within a 7-day span and used this page here: https://www.sql-easy.com/learn/how-to-get-last-7-days-record-in-postgresql/

[sizzlingcreatorcycle]

Learn SQL Easily with Takeoff Upskill and Build Your Data Skills

SQL (Structured Query Language) is one of the most important skills for anyone working with data. At Takeoff Upskill, we offer a comprehensive SQL course that makes learning this valuable skill easy and accessible. Whether you are a beginner or someone looking to enhance your database knowledge, this course is designed to meet your needs.

Our SQL course starts with the basics, such as understanding databases, tables, and data types. You will learn how to create, read, update, and delete data using SQL commands. The course also covers advanced topics like joining multiple tables, writing complex queries, and optimizing database performance. These skills are essential for roles like data analyst, software developer, and database administrator.

The training at Takeoff Upskill is practical and hands-on. We provide real-world examples and exercises that help you understand how SQL is used in businesses. By the end of the course, you will be confident in writing queries, managing data, and solving database challenges. Our experienced trainers guide you every step of the way, ensuring you gain a strong foundation.

[scholarnest]

SQL Course Training: Advancing Your Database Skills

In the realm of data analysis and management, SQL (Structured Query Language) stands as a foundational skill indispensable for professionals seeking to navigate and manipulate databases effectively. As the demand for data-driven insights continues to soar, honing your SQL proficiency through targeted training can significantly enhance your capabilities in data analysis and open doors to diverse career opportunities. Let's explore the significance of SQL course training and how it can advance your database skills.

Understanding the Importance of SQL in Data Analysis:

SQL serves as the universal language for communicating with relational databases, enabling users to retrieve, manipulate, and manage data efficiently. Whether you're a data analyst, data scientist, or database administrator, mastering SQL empowers you to extract valuable insights, perform complex queries, and optimize database performance. With its widespread adoption across industries, SQL proficiency has become a prerequisite for roles involving data analysis and database management.

Key Components of SQL Course Training:

SQL course training encompasses a range of topics tailored to equip learners with comprehensive database management skills. From basic SQL syntax to advanced query optimization techniques, these courses cover essential concepts and best practices for leveraging SQL effectively. Key components of SQL course training include:

- SQL Fundamentals: Understanding basic SQL commands, data types, and database objects.

- Querying Databases: Crafting SELECT statements to retrieve data from tables and apply filtering, sorting, and aggregation.

- Data Manipulation: Performing INSERT, UPDATE, DELETE operations to modify data within tables.

- Database Design: Understanding principles of database normalization, table relationships, and entity-relationship modeling.

- Advanced SQL Topics: Exploring advanced SQL features such as joins, subqueries, stored procedures, and triggers.

- Optimization and Performance Tuning: Techniques for optimizing SQL queries, indexing strategies, and enhancing database performance.

Choosing the Best SQL Course:

When selecting a SQL course online, it's essential to consider factors such as:

- Curriculum: Ensure the course covers a comprehensive range of SQL topics, from fundamentals to advanced concepts.

- Hands-On Practice: Look for courses that offer hands-on exercises and projects to reinforce learning and practical application.

- Instructor Expertise: Choose courses led by experienced SQL professionals with a track record of delivering high-quality instruction.

- Student Reviews: Assess feedback from past learners to gauge the course's effectiveness and relevance to your learning goals.

- Certification: Some SQL courses offer certification upon completion, which can validate your skills and enhance your credentials in the job market.

Integrating SQL with Data Analysis:

SQL proficiency synergizes seamlessly with data analysis tasks, enabling analysts to extract, transform, and analyze data stored in relational databases. Whether you're performing ad-hoc analysis, generating reports, or building data pipelines, SQL serves as a powerful tool for accessing and manipulating data effectively. By mastering SQL alongside data analysis skills and tools such as Python and Apache Spark, you can enhance your capabilities as a data professional and tackle complex analytical challenges with confidence.

Conclusion:

Investing in SQL course training is a strategic step towards mastering database management skills and advancing your career in data analysis. Whether you're a novice seeking to build a solid foundation in SQL or an experienced professional aiming to sharpen your expertise, there are ample opportunities to enhance your database skills through online SQL courses. By selecting the best SQL course that aligns with your learning objectives and investing time and effort into mastering SQL concepts, you can unlock new possibilities in data analysis and become a proficient database practitioner poised for success in today's data-driven world.

[courseswebs]

Learn SQL

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

[matzdeveloper]

Learn SQL

What is SQL ?

SQL stands for Structured Query Language. It is used to manipulate and execute queries on databases which has tables, views, triggers, procedures, functions and many more. SQL Commands

SQL Commands are divided into four subgroups

1.) DDL - Data Definition Language

it deals with Database Scheme and description and how to data should reside in the database.

Example are

Create Table, Alter Table, Drop Table, Truncate Table

2.) DML - Data Manipulation Language

It deals with Data Manipulation used to store, modify , retrieve, delete and update data in the database.

Examples are

Select , Insert, Update, Delete

3.)DCL - Data Control Language

It deals with rights, permissions and other control of the database system.

Examples are

Grant , Revoke

4.) TCL - Transaction Control Language

It deals with transaction within the database.

Examples are

Commit, Rollback, SavePoint,Begin Transaction.

In the next blog we will learn about more SQL Topics.

Keep Learning!!!

Keep Enjoying!!!

[sectoralchromatics]

me because i'm unemployed and crazy: “here's a worksheet where you can see what the rally people do before they started their career fulltime !”

only get my hands on info of like 50 people and also the numbers are heavily skewed towards finns and frenchies. because .. duhh

charts breakdown part ! (this is just a part where i yap)

unsurprisingly many drivers had a career right in motorsports or some motorsports-related jobs like mechanics/engineers (started driving at a very young age, too). but also there's quite a portion of them studied law or practiced law previous to making a career out of racing. maybe driving 125km/h is the perfect way of destressing after memorising 300 lines of civil law 🙏

now about co-drivers. most of them studied engineering or even had really successful corporate jobs. like jonne halttunen is literally a ceo and he prolly has enough money to provide for kalle for the rest of his life lol. besides that we have the sportsplayers who switched over after some injury (enni included) or the military people - tina thörner was one of the first women to make it into the swedish air force and guy frequelin was a tank driving instructor ! so basically co-drivers be having the craziest sidejobs ever…

now since i have the most data for finland and france: voilà! comparison chart ! (co-drivers included)

apparently finns (and drivers in nordic countries) can have a professional rallying career at a very early age - usually they do this with external funding or working as a developer/driving instructor for car manufacturers. meanwhile most frenchies dabbled in a lot of jobs or struggled financially before they can have a full-time seat.

[crackaddict55]

🤩Are you a CS Student !?!???? 🥳🤩😎CHECK OUT THESE-

No. No I’m not. I study at home.

[raptorstudiesstuff]

Life update -

Hi, sorry for being MIA for a while and I'll try to update here more frequently. Here's a general update of what I've been up to.

Changed my Tumblr name from studywithmeblr to raptorstudiesstuff. Changed my blog name as well. I don't feel comfortable putting my real name on my social media platforms so I'm going by 'Raptor' now.

💻 Finished the Machine Learning-2 and Unsupervised Learning module along with projects. Got a pretty good grade in both of them and my overall grade went up a bit.

📝 Started applying for data science internships and jobs but got rejected from most of the companies I applied to... 😬

I'll start applying again in a week or two with a new resume. Let me know any tips I can use to not get rejected. 😅

💻 Started SQL last week and really enjoying it. I did get a bad grade on an assignment though. Hope I can make up for it in the final quiz. 🤞

🏥 Work has been alright. We're a little less staffed than usual this week but I'm trying not to stress too much about it.

📖 Currently reading Discworld #1 - The Color of Magic. More than halfway through.

📺 Re-watched the Lord of The Rings movies and now I'm compelled to read the books or rewatch the Hobbit movies.

"There's good in this world, Mr Frodo, and it's worth fighting for." This scene had me in tears and I really needed to hear that..

📺 Watched the first 4 episodes of First Kill on Netflix and I don't know what I was doing to myself. The writing and dialogue is so cheesy and terrible. The acting is okay-ish. It's so bad that it turned out to be quite hilarious. Laughed the whole time.

🎧 Discovered a new (for me) song that I'm obsessed with right now - Mirrors by Justin Timberlake.

📷 Took some really cool pics on my camera..

Might start the 100 days productivity challenge soon as that is the only way I find myself to be consistent.

Peace ✌️

Raptor

PS. Please don't repost any of my pictures without permission.

[codingquill]

SQL Fundamentals #1: SQL Data Definition

Last year in college , I had the opportunity to dive deep into SQL. The course was made even more exciting by an amazing instructor . Fast forward to today, and I regularly use SQL in my backend development work with PHP. Today, I felt the need to refresh my SQL knowledge a bit, and that's why I've put together three posts aimed at helping beginners grasp the fundamentals of SQL.

Understanding Relational Databases

Let's Begin with the Basics: What Is a Database?

Simply put, a database is like a digital warehouse where you store large amounts of data. When you work on projects that involve data, you need a place to keep that data organized and accessible, and that's where databases come into play.

Exploring Different Types of Databases

When it comes to databases, there are two primary types to consider: relational and non-relational.

Relational Databases: Structured Like Tables

Think of a relational database as a collection of neatly organized tables, somewhat like rows and columns in an Excel spreadsheet. Each table represents a specific type of information, and these tables are interconnected through shared attributes. It's similar to a well-organized library catalog where you can find books by author, title, or genre.

Key Points:

Tables with rows and columns.

Data is neatly structured, much like a library catalog.

You use a structured query language (SQL) to interact with it.

Ideal for handling structured data with complex relationships.

Non-Relational Databases: Flexibility in Containers

Now, imagine a non-relational database as a collection of flexible containers, more like bins or boxes. Each container holds data, but they don't have to adhere to a fixed format. It's like managing a diverse collection of items in various boxes without strict rules. This flexibility is incredibly useful when dealing with unstructured or rapidly changing data, like social media posts or sensor readings.

Key Points:

Data can be stored in diverse formats.

There's no rigid structure; adaptability is the name of the game.

Non-relational databases (often called NoSQL databases) are commonly used.

Ideal for handling unstructured or dynamic data.

Now, Let's Dive into SQL:

SQL is a :

Data Definition language ( what todays post is all about )

Data Manipulation language

Data Query language

Task: Building and Interacting with a Bookstore Database

Setting Up the Database

Our first step in creating a bookstore database is to establish it. You can achieve this with a straightforward SQL command:

CREATE DATABASE bookstoreDB;

SQL Data Definition

As the name suggests, this step is all about defining your tables. By the end of this phase, your database and the tables within it are created and ready for action.

1 - Introducing the 'Books' Table

A bookstore is all about its collection of books, so our 'bookstoreDB' needs a place to store them. We'll call this place the 'books' table. Here's how you create it:

CREATE TABLE books ( -- Don't worry, we'll fill this in soon! );

Now, each book has its own set of unique details, including titles, authors, genres, publication years, and prices. These details will become the columns in our 'books' table, ensuring that every book can be fully described.

Now that we have the plan, let's create our 'books' table with all these attributes:

CREATE TABLE books ( title VARCHAR(40), author VARCHAR(40), genre VARCHAR(40), publishedYear DATE, price INT(10) );

With this structure in place, our bookstore database is ready to house a world of books.

2 - Making Changes to the Table

Sometimes, you might need to modify a table you've created in your database. Whether it's correcting an error during table creation, renaming the table, or adding/removing columns, these changes are made using the 'ALTER TABLE' command.

For instance, if you want to rename your 'books' table:

ALTER TABLE books RENAME TO books_table;

If you want to add a new column:

ALTER TABLE books ADD COLUMN description VARCHAR(100);

Or, if you need to delete a column:

ALTER TABLE books DROP COLUMN title;

3 - Dropping the Table

Finally, if you ever want to remove a table you've created in your database, you can do so using the 'DROP TABLE' command:

DROP TABLE books;

To keep this post concise, our next post will delve into the second step, which involves data manipulation. Once our bookstore database is up and running with its tables, we'll explore how to modify and enrich it with new information and data. Stay tuned ...

Part2

[karthika-perumal]

Coursera - Data Analysis and Interpretation Specialization

I have chosen Mars Craters for my research dataset! Research question: How Do Crater Size and Depth Influence Ejecta Morphology in Mars Crater Data?

Topic 2: How Do Crater Size and Depth Influence Ejecta Morphology and the Number of Ejecta Layers in Martian Impact Craters?

Abstract of the study:

Ejecta morphology offers a window into the impact processes and surface properties of planetary bodies. This study leverages a high-resolution Mars crater dataset comprising over 44,000 entries among 380k entries with classified ejecta morphologies, focusing on how crater diameter and depth influence ejecta type. Crater size and rim-to-floor depth are examined whether they serve as reliable predictors of ejecta morphology complexity. Using statistical methods, we assess the relationship between crater dimensions and the occurrence of specific ejecta morphologies and number of layers.

Research Papers Referred:

Nadine G. Barlow., "Martian impact crater ejecta morphologies as indicators of the distribution of subsurface volatiles"

R. H. Hoover1 , S. J. Robbins , N. E. Putzig, J. D. Riggs, and B. M. Hynek. "Insight Into Formation Processes of Layered Ejecta Craters onMars From Thermophysical Observations"

[catboytitty]

i open r studio and get an absolute rush of joy so much i have to close it again cuz i cant figure out wtf i was going to do anymore

[dkettchen]

I'm applying to coding bootcamps (in my retraining efforts toward a stable career to fall back on whenever media industry is being an ass (aka their default state)) and this one is making me learn javascript as part of the application process, and I'm like just let me use my snake_case, you monsters ToT

[big-tiddy-goth-ghoulfriend]

I just want a job where I work from home, do some boring repetitive data entry spreadsheet analysis etc. task, and never have to talk to anyone on the phone that doesn't work at my company. Is that so much to ask.

[courseswebs]

Learn SQL

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