#SQL Courses

[uniathena]

Best SQL Certification Course - UniAthena

Data doesn’t just tell a story, it shapes the future of all business actions, new products, and changes in the market. And, behind all this is SQL that is controlling the entire process.

If you want to get involved in data or improve your skills in backend development, UniAthena’s Best SQL Certification Course is an ideal starting point. The course is designed for beginners and provides you with knowledge of topics including databases, records, constraints, joins, views, and stored procedures.

In about a week or two, you’ll learn the main concepts and be able to work with functions and queries in real-life scenarios. Moreover, after completing the course, get certified with a Blockchain-verified certificate that proves your readiness to handle data-related tasks in the workplace.

Are you searching for a SQL Certification Course for Beginners that helps you learn? Start smart with this free Online Short Course with Certificates. Apply now.

[aevris]

No idea if this person follows me BUT while the industry standard for GIS software (ArcGIS pro) is incredibly expensive, there are open source alternatives like QGIS. A lot of governments and organizations also have open data portals that you can grab data from (shapefiles, CSVs, rasters, whatever).

I've kind of been taught ground-up in person so I don't have recommendations on video tutorials for teaching basic concepts sadly. Bolstadt GIS fundamentals is good and was dirt cheap by textbook standards though (was like $40 iirc).

"Learning GIS" I guess also depends on what you want to do with it? If you want to mess around with cartography and data visualization you could probably just give yourself some pet projects.

[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

[boyslit]

i wish i could turn my 26 year old self back around and march them right back to the university disability assistance office with those dx papers and be like. here. this is why i failed my shit. id like to try again with supports in place. and if you're going to refuse be prepared to put it in writing.

[education43]

What Are the Qualifications for a Data Scientist?

In today's data-driven world, the role of a data scientist has become one of the most coveted career paths. With businesses relying on data for decision-making, understanding customer behavior, and improving products, the demand for skilled professionals who can analyze, interpret, and extract value from data is at an all-time high. If you're wondering what qualifications are needed to become a successful data scientist, how DataCouncil can help you get there, and why a data science course in Pune is a great option, this blog has the answers.

The Key Qualifications for a Data Scientist

To succeed as a data scientist, a mix of technical skills, education, and hands-on experience is essential. Here are the core qualifications required:

1. Educational Background

A strong foundation in mathematics, statistics, or computer science is typically expected. Most data scientists hold at least a bachelor’s degree in one of these fields, with many pursuing higher education such as a master's or a Ph.D. A data science course in Pune with DataCouncil can bridge this gap, offering the academic and practical knowledge required for a strong start in the industry.

2. Proficiency in Programming Languages

Programming is at the heart of data science. You need to be comfortable with languages like Python, R, and SQL, which are widely used for data analysis, machine learning, and database management. A comprehensive data science course in Pune will teach these programming skills from scratch, ensuring you become proficient in coding for data science tasks.

3. Understanding of Machine Learning

Data scientists must have a solid grasp of machine learning techniques and algorithms such as regression, clustering, and decision trees. By enrolling in a DataCouncil course, you'll learn how to implement machine learning models to analyze data and make predictions, an essential qualification for landing a data science job.

4. Data Wrangling Skills

Raw data is often messy and unstructured, and a good data scientist needs to be adept at cleaning and processing data before it can be analyzed. DataCouncil's data science course in Pune includes practical training in tools like Pandas and Numpy for effective data wrangling, helping you develop a strong skill set in this critical area.

5. Statistical Knowledge

Statistical analysis forms the backbone of data science. Knowledge of probability, hypothesis testing, and statistical modeling allows data scientists to draw meaningful insights from data. A structured data science course in Pune offers the theoretical and practical aspects of statistics required to excel.

6. Communication and Data Visualization Skills

Being able to explain your findings in a clear and concise manner is crucial. Data scientists often need to communicate with non-technical stakeholders, making tools like Tableau, Power BI, and Matplotlib essential for creating insightful visualizations. DataCouncil’s data science course in Pune includes modules on data visualization, which can help you present data in a way that’s easy to understand.

7. Domain Knowledge

Apart from technical skills, understanding the industry you work in is a major asset. Whether it’s healthcare, finance, or e-commerce, knowing how data applies within your industry will set you apart from the competition. DataCouncil's data science course in Pune is designed to offer case studies from multiple industries, helping students gain domain-specific insights.

Why Choose DataCouncil for a Data Science Course in Pune?

If you're looking to build a successful career as a data scientist, enrolling in a data science course in Pune with DataCouncil can be your first step toward reaching your goals. Here’s why DataCouncil is the ideal choice:

Comprehensive Curriculum: The course covers everything from the basics of data science to advanced machine learning techniques.

Hands-On Projects: You'll work on real-world projects that mimic the challenges faced by data scientists in various industries.

Experienced Faculty: Learn from industry professionals who have years of experience in data science and analytics.

100% Placement Support: DataCouncil provides job assistance to help you land a data science job in Pune or anywhere else, making it a great investment in your future.

Flexible Learning Options: With both weekday and weekend batches, DataCouncil ensures that you can learn at your own pace without compromising your current commitments.

Conclusion

Becoming a data scientist requires a combination of technical expertise, analytical skills, and industry knowledge. By enrolling in a data science course in Pune with DataCouncil, you can gain all the qualifications you need to thrive in this exciting field. Whether you're a fresher looking to start your career or a professional wanting to upskill, this course will equip you with the knowledge, skills, and practical experience to succeed as a data scientist.

Explore DataCouncil’s offerings today and take the first step toward unlocking a rewarding career in data science! Looking for the best data science course in Pune? DataCouncil offers comprehensive data science classes in Pune, designed to equip you with the skills to excel in this booming field. Our data science course in Pune covers everything from data analysis to machine learning, with competitive data science course fees in Pune. We provide job-oriented programs, making us the best institute for data science in Pune with placement support. Explore online data science training in Pune and take your career to new heights!

[digitalmarketing6669]

Unlock SQL Mastery: The Ultimate T-SQL Guide for SQL Server Pros

[stardustedknuckles]

I HATE things that say "sign up for x per month (billed annually)." shut the fuck up. I might be able to pay what you're asking monthly but I damn sure can't drop hundreds of dollars right this second and I'm not GOING to on something I don't even know if I'll see through.

[hotchocolateandpillowforts]

I'm in my second week of my second course of the program I'm in to learn Data Analytics and this just popped up in my lesson:

[melonia-1995]

🚀 Ready to become a Data Science pro? Join our comprehensive Data Science Course and unlock the power of data! 📊💡

🔍 Learn: Excel PowerBi Python & R Machine Learning Data Visualization Real-world Projects

👨‍🏫 Taught by industry experts 💼 Career support & networking

[onlineitsolutions01]

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[onlineitsolutions12]

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[uniathena]

Best SQL Certification Course - UniAthena

If you've ever aspired to be fluent in the language of databases, you begin by learning SQL. And if you're looking for the Best SQL Certification Course, UniAthena has you covered with a certification course.

This SQL Certification Course for Beginners equips you with an overview of what you need to know about SQL, including records and relational databases, joins, views, constraints, and stored procedures.

With this Online Short Course with Certificates, you will not have to take weeks off to have it done. This short course will fit in your schedule with free to learn, self-paced content, and will be completed in as little as 1-2 weeks of learning.

And on top of it, you will earn a Blockchain-verified certificate to boost your professional profile. Take advantage of this opportunity to start smart. Enroll for UniAthena’s SQL Certification Course for Beginners and make your interest in data your career clarity.

[digitalcactusblog]

I am wildly unqualified to be in this work call

[codingquill]

SQL Fundamentals #2: SQL Data Manipulation

In our previous database exploration journey, SQL Fundamentals #1: SQL Data Definition, we set the stage by introducing the "books" table nestled within our bookstore database. Currently, our table is empty, Looking like :

books

| title | author | genre | publishedYear | price |

Data manipulation

Now, let's embark on database interaction—data manipulation. This is where the magic happens, where our "books" table comes to life, and we finish our mission of data storage.

Inserting Data

Our initial task revolves around adding a collection of books into our "books" table. we want to add the book "The Great Gatsby" to our collection, authored F. Scott Fitzgerald. Here's how we express this in SQL:

INSERT INTO books(title, author, genre, publishedYear, price) VALUES('The Great Gatsby', 'F. Scott Fitzgerald', 'Classic', 1925, 10.99);

Alternatively, you can use a shorter form for inserting values, but be cautious as it relies on the order of columns in your table:

INSERT INTO books VALUES('The Great Gatsby', 'F. Scott Fitzgerald', 'Classic', 1925, 10.99);

Updating data

As time goes on, you might find the need to modify existing data in our "books" table. To accomplish this, we use the UPDATE command.For example :

UPDATE books SET price = 12.99 WHERE title = 'The Great Gatsby';

This SQL statement will locate the row with the title "The Great Gatsby" and modify its price to $12.99.

We'll discuss the where clause in (SQL fundamentals #3)

Deleting data

Sometimes, data becomes obsolete or irrelevant, and it's essential to remove it from our table. The DELETE FROM command allows us to delete entire rows from our table.For example :

DELETE FROM books WHERE title = 'Moby-Dick';

This SQL statement will find the row with the title "Moby-Dick" and remove it entirely from your "books" table.

To maintain a reader-friendly and approachable tone, I'll save the discussion on the third part of SQL, which focuses on data querying, for the upcoming post. Stay tuned ...

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[gvtacademy]

Master the Future of Data: Enroll in the Best Data Analyst Course with AI in Noida!

In today’s data-driven world, businesses thrive on insights — not just numbers. That’s where YOU come in! 

At GVT Academy, we offer one of the Best Data Analyst courses with AI in Noida—carefully crafted to help learners build real-world skills and become confident data professionals. Whether you're a fresh graduate or a working professional, this course will equip you with cutting-edge skills in data analysis, visualization, and artificial intelligence — the tech duo that’s revolutionizing every industry.

Why Choose This Course?

Work with powerful tools like Excel, Python, Power BI, and SQL to build real-world skills

Dive deep into AI-driven data modeling and automation

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