#self pace course

[mostly-natm]

Lore in Those Shirts… >>>

[lvcae]

kinda ironic how my "mental health first aid training" course is a 5 hour video conference with no breaks allowed, forced camera on, with only one time slot available lol

[runawaycarouselhorse]

There was a primary healthcare center I only worked at for a few days and then, they didn't want me anymore, because I didn't get along with the other staff members. One woman was OBSESSED with my weight, tried to force me to march around outside on concrete, refused to learn about my health conditions or knee injury, was absolutely convinced I was overweight due to my eating habits, was baffled by why my parents didn't force me to get married young like she was, tried to force button my labcoat until she realized the last two buttons would not close at the time... a male coworker brought lunch that'd make me sick (too greasy) and gave me two sandwiches, like one wouldn't be enough?! What do they think I am?!

I'd never eat two shawarma sandwiches, even those big ones they serve cut in half, I always ate only half and reheated the rest another day, and I usually wouldn't eat them for dinner when the parents bought them because they'd give me reflux. Another doctor thought I was wrong about my diagnosis when I was in horrible pain from the reflux and the cramps... it was just. A nightmare.

I actually went back through my me, dical file to find the diagnoses so he can know that no, I'm not wrong, yes, my suffering is caused by GERD and a sliding hiatal hernia...

So, naturally, I guess they got mad when I requested that no one except patients come see me in the clinic, staff members can only come in if they want to discuss work.

I came to work another day and the doctor in charge was shocked I came in place of some other doctor (who HATES clinic duty and just. Closed the door when she was there, so patients didn't even realize she was in???), so, he realized she was trying to shirk work and lied, as if our hospital and this clinic had no connection, she tried to claim the main hospital needed her for something not knowing her employer and the the head doctor in the PHC kept in contact. He sent me home, told me to ask my employer to be sure before attending in someone else's stead, said I shouldn't be working post-call (what a nostalgic word! I haven't heard it in years... I'm made to work the day after I'm on-call, in this hospital...) and told me not to come again.

I'm glad to see I'm not alone in this "oh, you're making the work environment unfriendly by not wanting to engage in chitchat with the other coworkers."

They're bullies and presumptious and rude. I don't want to talk to them! They're projecting all their stupid issues on me and nitpicking everything from the colour of my headscarf to my weight to how they imagine I eat or move. I exercise regularly, more than most of these women, I just have always had weight fluctuations and I have a hormonal issue that makes it worse because I have PCOS. I'm also mixed, I am never going to be flat all the way up and down like most Saudis!!! The North African genes gave us curves and we're naturally on the heavier side. Even my literal bone mass is greater than most women. Sorry?

[youploger]

Discover a Wealth of Educational Videos and E-Books – Accelerate Your Learning Journey!

Unlock the power of knowledge with our vast collection of educational videos and e-books.

What You’ll Find:

Comprehensive Learning Materials: From step-by-step video tutorials to in-depth e-books, explore a wide range of subjects, including business, technology, personal development, arts, and more. Expert-Led Instruction: Gain insights from industry professionals and subject-matter experts who provide clear, practical lessons. Flexible Learning: Study at your own pace with downloadable e-books and videos that fit into your schedule, accessible anytime and anywhere.

[realitybitesyouknowit]

Chapters: 31/31 Fandom: Harry Potter - J. K. Rowling Rating: Mature Warnings: Major Character Death, Rape/Non-Con Relationships: Theodore Nott/Harry Potter, Harry Potter/Severus Snape, Draco Malfoy & Theodore Nott & Harry Potter & Blaise Zabini, Harry Potter & Blaise Zabini, Draco Malfoy & Harry Potter Characters: Harry Potter, Severus Snape, Theodore Nott, Blaise Zabini, Draco Malfoy, Regulus Black, Sirius Black, Gregory Goyle, Vincent Crabbe, Lucius Malfoy, Narcissa Black Malfoy, Tom Riddle | Voldemort Additional Tags: Good Slytherins, Good Severus Snape, Slytherin Harry Potter, Meddling Albus Dumbledore, Touch-Starved Harry Potter, Soul Bond, Platonic Relationships, Heartbreak, Past Abuse, Angst, Self-Harm, Found Family Series: Part 1 of A Trolley Wheel Summary:

The Butterfly Effect: The idea that the altering of even the smallest most minuscule seemly inconsequential events can alter the entire outcome of not only one but all.

If that wobbly wheel had held for a few more seconds Harry wouldn’t have heard, “everywhere else is full” come from a dark skinned boy with violet eyes and a flirty smile but instead a pale freckled boy with dirt across his nose. He wouldn’t have spilt sweets with a quiet girl with soft brown hair and a nervous shake to her voice, but with a boy and his rat.

That one faulty wheel altered Harry’s life and the wizarding world as a whole in an unrecognizable way.

[skruffie]

man, I think I might end up being a for real optician

[crescentmp3]

hi! hi hello

[aslteachingresources]

Learn Sign Language / ASL Online Courses / Learn ASL at Home

[sonippep-hohu]

every time I see Piepoe, I drop to my knees and start sobbing /positive

[simplyarty1]

Signature Course. Introduction to Shadow Work & Personal Growth.

Pathways to Wholeness. A step-by-step Guide. Everything you need to know and all the tools you need to start and sustain your overall wellness transformation.

Pathways to Wholeness. A step-by-step Guide. Everything you need to know and all the tools you need to start and sustain your overall wellness transformation. Signature Initiative Course 8-12 weeks (Self-paced). Online modules, live group sessions, personal coaching, and art therapy workshops. Introduction to Shadow Work and Personal Transformation Foundations of…

[melissabtinker]

The online driving course in Texas offers a seamless way to meet driving education requirements. With engaging material accessible anytime, this program helps students gain confidence behind the wheel while adapting to busy schedules. Learn More: https://www.easydriversed.com/

[groovykingcat]

Big Data, Big Opportunities: A Beginner's Guide

Big Data is a current trend and the number of specialists in the field of Big Data is growing rapidly. If you are a beginner looking to enter the world of Big Data, you've come to the right place! This Beginner’s Guide will help you understand the basics of Big Data, Data Science, Data Analysis, and Data Engineering, and highlight the skills you need to build a career in this field. 

What is Big Data? 

Big Data refers to the massive volumes of structured and unstructured data that are too complex for traditional processing software. These Big Data concepts form the foundation for data professionals to extract valuable insights. 

While the term might sound intimidating, think of Big Data as just a collection of data that's too large to be processed by conventional databases. Imagine the millions of transactions happening on Amazon or the vast amounts of data produced by a single flight from an airline. These are examples of Big Data in action. Learning the fundamentals will help you understand the potential of this massive resource 

Why Big Data Matters 

Big Data enables companies to uncover trends, improve decision-making, and gain a competitive edge. This demand has created a wealth of opportunities in Data Science careers, Data Analysis, and Data Engineering. 

Key Big Data Concepts 

Some key Big Data concepts include: 

Volume, Velocity, and Variety: Large volume of data, generated rapidly in various formats. 

Structured vs. Unstructured Data: Organized data in databases versus raw, unstructured data. 

Tools like Hadoop and Spark are crucial in handling Big Data efficiently. 

Data Engineering: The Backbone of Big Data 

Data Engineering is the infrastructure behind Big Data. Data Engineering basics involve creating pipelines and processing systems to store and manage massive datasets. Learning these fundamentals is critical for those aspiring to Data Engineering jobs. 

Big Data Applications Across Industries 

Big Data applications span across industries, from healthcare and finance to marketing and manufacturing. In healthcare, Big Data is used for predictive analytics and improving patient care. In finance, it helps detect fraud, optimize investment strategies, and manage risks. Marketing teams use Big Data to understand customer preferences, personalize experiences, and create targeted campaigns. The possibilities are endless, making Big Data one of the most exciting fields to be a part of today. 

As a beginner, you might wonder how Big Data fits into everyday life. Think of online streaming services like Netflix, which recommend shows based on your previous viewing patterns, or retailers who send personalized offers based on your shopping habits. These are just a couple of ways Big Data is being applied in the real world. 

Building a Career in Big Data 

The demand for Big Data professionals is on the rise, and there are a variety of career paths you can choose from: 

Data Science Career: As a Data Scientist, you'll focus on predictive modeling, machine learning, and advanced analytics. This career often involves a strong background in mathematics, statistics, and coding. 

Data Analysis Jobs: As a Data Analyst, you’ll extract meaningful insights from data to support business decisions. This role emphasizes skills in statistics, communication, and data visualization. 

Data Engineering Jobs: As a Data Engineer, you’ll build the infrastructure that supports data processing and analysis, working closely with Data Scientists and Analysts to ensure that data is clean and ready for use. 

Whether you're interested in Data Science, Data Analysis, or Data Engineering, now is the perfect time to jumpstart your career. Each role has its own unique challenges and rewards, so finding the right fit will depend on your strengths and interests. 

Career Opportunities in Big Data and Their Salaries 

As the importance of Big Data continues to grow, so does the demand for professionals skilled in handling large data sets. Let’s check the different career paths in Big Data, their responsibilities, and average salaries: 

Data Scientist 

Role: Data Scientists develop models and algorithms to extract insights from large data sets. They work on predictive analytics, machine learning, and statistical modeling. 

Average Salary: $120,000 to $150,000 per year in the U.S. 

Skills Needed: Strong background in math, statistics, programming (Python, R), and machine learning. 

Data Analyst 

Role: Data Analysts interpret data to provide actionable insights for decision-making. They focus on generating reports, dashboards, and business insights. 

Average Salary: $60,000 to $90,000 per year in the U.S. 

Skills Needed: Proficiency in SQL, Excel, Python, data visualization tools like Tableau or Power BI, and statistical analysis. 

Data Engineer 

Role: Data Engineers build and maintain the architecture (databases, pipelines, etc.) necessary for data collection, storage, and analysis. 

Average Salary: $100,000 to $140,000 per year in the U.S. 

Skills Needed: Knowledge of cloud platforms (AWS, Google Cloud), database management, ETL tools, and programming languages like Python, Scala, or Java. 

Big Data Architect 

Role: Big Data Architects design the infrastructure that supports Big Data solutions, ensuring scalability and performance. 

Average Salary: $140,000 to $180,000 per year in the U.S. 

Skills Needed: Expertise in cloud computing, distributed systems, database architecture, and technologies like Hadoop, Spark, and Kafka. 

Machine Learning Engineer 

Role: Machine Learning Engineers create algorithms that allow systems to automatically improve from experience, which is key in processing and analyzing large data sets. 

Average Salary: $110,000 to $160,000 per year in the U.S. 

Skills Needed: Proficiency in machine learning libraries (TensorFlow, PyTorch), programming (Python, R), and experience with large datasets. 

Learn Big Data with Guruface 

Guruface, an online learning platform, offers different Big Data courses. Whether you’re looking for an Introduction to Big Data, a Data Science tutorial, or Data Engineering basics, Guruface provides beginner-friendly resources to guide your learning. Their courses are ideal for those looking to learn Big Data concepts and practical applications in Data Science, Data Analysis, and Data Engineering. 

Conclusion 

With data being the driving force in today’s society, understanding the Big Data concepts, tools as well as applications, is a key step towards an exciting Big Data Career. Platforms like Guruface provide the ideal starting point for beginners interested in Big Data, Data Science, Data Analysis, or Data Engineering. Start your journey today and explore the vast potential of Big Data.

[insightfultrends]

Is the "Risk Management Course" Worth the Investment? A Real-World Review

Is the “Risk Management Course” Worth the Investment? A Real-World Review 🧐 In today’s unpredictable world, “risk management” isn’t just a buzzword – it’s a crucial skill for anyone in business, project management, finance, or even just navigating everyday life! So, when I came across the “Risk Management Course” (let’s just call it “RMC” for short), I was intrigued. Could this online course…

[that-dreaded-wolf]

.x

[blumoonfiction-blog]

Project Literacy: Empowering Adults with Essential Reading Skills

The Literacy Project: Enhancing Adult Literacy through Education The Literacy Project is a free and accessible program focused on providing adults with the tools and support needed to improve their literacy skills. It offers various learning resources to help individuals develop reading, writing, and comprehension skills necessary for personal and professional growth. Recommended Reading and…