#Data Analytics Introduction

[strategiadvizo]

Elevating Employability: Short-Term Course Suggestions for College Students

Empower your future with our latest blog on short-term courses for college students! 🚀 Enhance your employability and unlock new opportunities. Dive in to discover courses that fit your passion and career goals. #EmpowermentThroughEducation #SkillUp

“विद्या ददाति विनयं, विनयाद् याति पात्रताम्।” “Education bestows humility, humility leads to worthiness.” In a world that’s constantly evolving, the importance of education—especially for students from lesser-known colleges in India—cannot be overstated. Education not only paves the way for personal growth but also significantly boosts employability in today’s competitive job market. Here are…

[phasesandplaylists]

Hello whomever might read this,

I've been wanting to post on here for a while. With 2025 around the corner, I decided to use Tumblr to track my goals and document my progress. Hopefully, I'll figure out how to relate that with Twitter(X) and whatever platform helps one land a job these days.

Basic info:

I'm a writer.

My name's Chisom and I'm 25 years (26 next year). I'm Nigerian and a University graduate with a BSc in Computer Science/Statistics. I live in Nigeria.

Other tidbits:

I listen to basically any type of music, but Pop is my main genre.

Fandoms I belong to: Directioner, Nctzen, Potterhead, etc.

I'm currently studying Data Analysis with every intention to land a job in the field next year. Most of my posts will be in regards to studying.

Languages spoken: English, Hausa, Igbo, Spanish (intermediate)

Currently studying: Korean, Swahili, Chinese. Korean takes priority currently.

Song I currently have on repeat:

Nice to meet you���️

[blessedmediaa]

Certified Digital Marketers in the UK

Top 5 Certified Digital Marketers in the UK

Introduction

Certified Digital Marketers in the UK, staying ahead of the competition requires expertise, innovation, and a deep understanding of the latest trends. Businesses across the UK are increasingly turning to certified digital marketing professionals to achieve online success.

But with so many professionals offering digital marketing services, how do you identify the best? In this blog, we introduce the top 5 certified digital marketers in the UK, each known for their exceptional skills and proven track record. Whether you’re a startup, an established brand, or an entrepreneur, working with the right expert can be a game-changer for your business.

Why Work with a Certified Digital Marketer in the UK?

Digital marketing is more than just running ads or posting content on social media. It involves strategic planning, data analysis, and the ability to adapt to ever-changing algorithms. Here’s why hiring a certified digital marketer in the UK is crucial:

Expertise in SEO & PPC – Improve rankings and get more traffic.

Content & Social Media Mastery – Engage and grow your audience.

Data-Driven Decision Making – Maximize ROI with analytics.

Updated Knowledge – Stay ahead with the latest digital trends.

Now, let’s explore the top digital marketing experts in the UK who can help take your business to the next level.

Top 5 Certified Digital Marketers in the UK

1. Neil Patel – The Global SEO Authority Certified Digital Marketers in the UK

Expertise: SEO, Content Marketing, Growth Hacking Neil Patel is a globally recognized digital marketing expert with deep expertise in SEO and content marketing. His strategies have helped businesses across the UK and beyond achieve remarkable online success.

Why Choose Neil Patel?

Proven strategies for SEO growth and traffic increase.

Offers free tools for SEO and marketing analysis.

Works with leading brands worldwide.

If you’re looking for top-rated digital marketers in the UK specializing in organic growth, Neil Patel is a name you can trust.

2. Andrew Davis – The Content Marketing Specialist Certified Digital Marketers in the UK

Expertise: Storytelling, Branding, Digital Strategy Andrew Davis is a well-known figure in the digital marketing space, focusing on content marketing and brand storytelling. He has worked with businesses across the UK to enhance their online engagement and brand authority.

Why Choose Andrew Davis?

Helps businesses craft powerful brand stories.

Expert in video content marketing.

One of the leading digital marketing experts in the UK.

If content is the backbone of your digital strategy, Andrew Davis can help you create compelling narratives that connect with your audience.

3. Marie Page – The Social Media Growth Expert

Expertise: Social Media Marketing, Facebook Ads, Engagement Strategies Marie Page is a certified digital marketing professional in the UK specializing in social media growth and paid advertising. She has helped countless brands scale their online presence through strategic campaigns.

Why Choose Marie Page?

Expertise in Facebook and Instagram Ads.

Helps businesses build strong online communities.

Recognized as one of the best online marketers in the UK.

If you’re looking to grow your brand’s social media presence, Marie Page’s strategies are highly effective.

4. Luke Brynley-Jones – The Paid Advertising & Strategy Expert

Expertise: PPC, LinkedIn Marketing, Lead Generation Luke Brynley-Jones is a top digital marketing specialist in the UK with expertise in paid advertising and lead generation. He has helped businesses increase their ROI through data-driven ad strategies.

Why Choose Luke Brynley-Jones?

Specializes in LinkedIn marketing & lead generation.

Helps businesses optimize ad spend for maximum ROI.

Known as a certified marketing professional in the UK.

For businesses focused on B2B marketing and paid ad strategies, Luke Brynley-Jones is a top choice.

5. Gavin Bell – The Facebook Advertising Guru

Expertise: Facebook Ads, Sales Funnels, Conversion Optimization Gavin Bell is widely regarded as one of the best digital marketers in the UK, particularly in the field of Facebook advertising. He has helped businesses improve their ad performance and maximize conversions.

Why Choose Gavin Bell?

Expert in high-converting Facebook ad campaigns.

Helps brands reduce ad costs while increasing leads.

Recognized as one of the top-rated digital marketers in the UK.

If paid social media advertising is your priority, Gavin Bell’s expertise can help you achieve the best results.

How to Choose the Right Digital Marketer for Your Business

Finding the right certified digital marketer in the UK depends on your business goals. Here’s how to choose the best one for you:

1. Identify Your Goals

Do you need help with SEO, social media marketing, or paid advertising? Define your objectives before selecting a marketer.

2. Check Certifications & Experience

A certified digital marketing professional in the UK should have credentials from recognized institutions like Google, HubSpot, or Facebook.

3. Review Case Studies & Testimonials

Look at their past work and success stories. This helps you understand their expertise and effectiveness.

4. Evaluate Their Strategy & Approach

Each marketer has a unique method. Ensure their approach aligns with your brand’s vision and budget.

5. Compare Pricing & ROI

While hiring an expert is an investment, consider the return on investment (ROI) they can deliver.

Final Thoughts

The digital marketing industry in the UK is thriving, and having the right expert by your side can elevate your brand’s success. Whether you need an SEO specialist, social media marketer, or advertising strategist, these top 5 certified digital marketers in the UK are among the best in the industry.

At BlessedMediaa, we understand the importance of expert-driven marketing solutions. If you’re looking for a trusted digital marketing agency in the UK, we’re here to help.

🚀 Want to grow your business online? Contact BlessedMediaa today for customized digital marketing strategies!

Key Takeaways

✅ Working with a certified digital marketer in the UK ensures expertise in SEO, PPC, content marketing, and social media. ✅ Neil Patel, Andrew Davis, Marie Page, Luke Brynley-Jones, and Gavin Bell are among the top digital marketing specialists in the UK. ✅ Choose a marketer based on your business goals, experience, and ROI potential. ✅ Digital marketing success depends on expert-driven strategies and continuous optimization.

🔹 Need expert digital marketing services? Contact BlessedMediaa today!

If you found this article informative, be sure to share your thoughts or questions in the comments section below. Stay tuned for more insights on groundbreaking technologies, and don’t forget to subscribe for the latest updates.

Thank you for reading!

[onedatasoftwaresolutions]

How Data Analytics Enhances IoT Development for Smarter Business Solutions

[vuelitics1]

Unlock the power of Business Intelligence (BI) and elevate your business to new heights! In this video, we break down the fundamentals of BI, showing you how data-driven decisions can transform your company. Learn about the core components of BI, including Data Collection, Integration, Analysis, and Visualization, and discover why BI is essential for making informed decisions. Key Takeaways: Understand the basics of Business Intelligence Learn the key steps involved in BI Discover the benefits of BI for your business See real-world examples of BI in action Whether you're new to BI or looking to deepen your understanding, this video is for you. Don't forget to like, comment, and subscribe for more insights on how to leverage BI for your business growth! Helpful Resources: Explore our blog for more in-depth articles: https://vuelitics.com/blog

Connect With Us:

Facebook: https://www.facebook.com/profile.php?id=61560856345182&sk=about_details Instagram:https://www.instagram.com/vuelitics_velan/ Twitter:https://x.com/vuelitics Linkedin: https://www.linkedin.com/company/vuelitics/ Youtube: https://www.youtube.com/@Vuelitics Website: https://vuelitics.com/

[pythonjobsupport]

Introduction to dbt (data build tool) from Fishtown Analytics

In this introduction to dbt tutorial, you’ll to learn about the core concepts of dbt and how it’s used. You probably know that data is a … source

[juliebowie]

Introduction to Big Data: Understanding the Fundamentals

In an era dominated by digital transformation, the term “Big Data” has become ubiquitous, symbolizing a seismic shift in how organizations collect, process, and utilize vast amounts of information. From enhancing business strategies to driving innovation across various sectors, Big Data has proven to be a cornerstone of the modern technological landscape.

This blog delves into the essence of Big Data, exploring its fundamentals, characteristics, sources, technologies, and applications, and concludes with an invitation to elevate your Data Science skills through Pickl.AI’s Data Science course.

Introduction

Big Data represents a paradigm shift in the way data is harnessed and leveraged for insights. Traditional data management techniques fall short in handling the volume, velocity, and variety of data generated in today’s interconnected world. Understanding Big Data is crucial for anyone aiming to thrive in a data-driven environment.

Definition of Big Data

Big Data refers to the massive, complex datasets that are beyond the capabilities of traditional data processing tools to manage and analyze. It encompasses data that is not only large in size but also varied in type and generated at an unprecedented speed. The defining characteristics of Big Data, often referred to as the three Vs — Volume, Velocity, and Variety — help in understanding its scope and challenges.

Volume: Refers to the enormous amount of data generated every second. Examples include data from social media platforms, sensors, transactions, and more.

Velocity: Describes the speed at which data is generated and processed. Real-time data processing is a key aspect of Big Data.

Variety: Encompasses the different types of data, including structured, semi-structured, and unstructured data such as text, images, video, and more.

Importance of Big Data in Today’s Digital Landscape

The significance of Big Data lies in its potential to unlock valuable insights and drive decision-making processes across various domains. Here’s why Big Data is vital in today’s digital landscape:

Enhanced Decision Making: By analyzing vast amounts of data, organizations can make more informed and accurate decisions.

Improved Customer Experience: Big Data allows businesses to understand customer behavior and preferences, leading to personalized services and improved satisfaction.

Operational Efficiency: Data-driven insights help in optimizing operations, reducing costs, and improving efficiency.

Innovation and Development: Big Data fuels innovation by providing the necessary insights for developing new products and services.

Competitive Advantage: Companies leveraging Big Data can gain a significant edge over competitors by quickly adapting to market trends and customer needs.

Characteristics of Big Data

Big Data is characterized by the following attributes, often expanded from the initial three Vs to include more dimensions:

Volume: Refers to the vast quantities of data generated from various sources.

Velocity: The speed at which data is generated, collected, and analyzed.

Variety: The diverse types of data, including structured, semi-structured, and unstructured formats.

Veracity: The quality and accuracy of data, addressing issues such as data inconsistency and uncertainty.

Value: The potential of Big Data to generate actionable insights and business value.

These characteristics highlight the challenges and opportunities associated with managing and analyzing Big Data.

Sources of Big Data

Big Data is generated from multiple sources, each contributing to the vast pool of information. Key sources include:

Social Media: Platforms like Facebook, Twitter, and Instagram generate vast amounts of user data through posts, comments, and interactions.

Sensors and IoT Devices: Devices connected to the Internet of Things (IoT) generate continuous streams of data from various applications, including smart homes, industrial equipment, and wearable technology.

Transactional Data: E-commerce sites, banking, and other financial services generate massive datasets from transactions and customer interactions.

Web and Log Data: Data generated from web traffic, server logs, and online interactions provide insights into user behavior and system performance.

Multimedia Data: Images, videos, audio files, and other multimedia content contribute significantly to Big Data, particularly with the rise of platforms like YouTube and Instagram.

Public Data: Government databases, research publications, and open data initiatives provide valuable datasets for analysis and innovation.

Big Data Technologies

Handling Big Data requires specialized technologies and tools designed to manage, process, and analyze large and complex datasets efficiently. Key Big Data technologies include:

Hadoop Ecosystem

Hadoop is an open-source framework that allows for the distributed processing of large datasets across clusters of computers using simple programming models. Key components include:

Hadoop Distributed File System (HDFS): A scalable and fault-tolerant file system designed to store large datasets.

MapReduce: A programming model for processing and generating large datasets with a parallel, distributed algorithm.

YARN: A resource management layer for scheduling and handling resource requests from applications.

Hive: A data warehousing solution that provides SQL-like querying capabilities.

Apache Spark

Apache Spark is an open-source, distributed computing system known for its speed and ease of use in processing large datasets. It provides an in-memory computing framework, making it much faster than Hadoop’s MapReduce.

NoSQL Databases

NoSQL databases are designed to handle unstructured and semi-structured data, providing flexibility and scalability. Examples include:

MongoDB: A document-oriented NoSQL database.

Cassandra: A highly scalable, distributed NoSQL database designed for handling large amounts of data across many commodity servers.

HBase: A scalable, distributed database that supports structured data storage for large tables.

Data Processing and ETL Tools

Tools for extracting, transforming, and loading (ETL) data are crucial for preparing Big Data for analysis. Examples include:

Apache NiFi: An integrated data logistics platform for automating the movement of data between systems.

Talend: A platform that provides tools for data integration, data management, and data quality.

Data Analysis and Visualization Tools

Analyzing and visualizing Big Data requires specialized tools to uncover insights and present them effectively. Key tools include:

Apache Spark MLlib: A machine learning library for Apache Spark, providing algorithms for classification, regression, clustering, and more.

Tableau: A data visualization tool that allows for the creation of interactive and shareable dashboards.

Power BI: A business analytics service by Microsoft, providing interactive visualizations and business intelligence capabilities.

Applications of Big Data

Big Data has transformative potential across various sectors, driving innovation and improving efficiency. Explore how Big Data transforms industries through applications in healthcare, finance, retail, transportation, energy, and entertainment.

Learn how predictive analytics, personalized recommendations, route optimization, and smart grids enhance efficiency, improve customer experiences, and drive innovation across various sectors, making data-driven decisions a cornerstone of modern business strategies.

Healthcare

Big Data is revolutionizing healthcare by enabling personalized medicine, improving patient outcomes, and enhancing operational efficiency. With its features, Big Data can transform the healthcare industry. The following list shows the same:

Predictive Analytics: Identifying patterns and predicting patient outcomes, enabling proactive care and early intervention.

Genomic Research: Analyzing large-scale genomic data to understand genetic disorders and develop targeted therapies.

Operational Efficiency: Optimizing hospital operations, reducing wait times, and improving resource allocation.

Finance

The financial industry leverages Big Data to enhance decision-making, manage risks, and improve customer experiences. These include the following:

Fraud Detection: Using advanced analytics to identify and prevent fraudulent activities in real-time.

Risk Management: Analyzing market trends and customer data to assess and mitigate financial risks.

Customer Insights: Understanding customer behavior and preferences to offer personalized financial products and services.

Retail

In retail, Big Data helps businesses understand customer preferences, optimize supply chains, and enhance marketing strategies. Some of the key applications of Big Data in retail industry are highlighted below:

Customer Analytics: Analyzing purchasing patterns to offer personalized recommendations and improve customer loyalty.

Inventory Management: Optimizing stock levels and reducing waste by predicting demand and managing supply chains efficiently.

Marketing Optimization: Tailoring marketing campaigns to target specific customer segments and maximize ROI.

Transportation and Logistics

Big Data is transforming transportation and logistics by improving operational efficiency, reducing costs, and enhancing customer experiences. The following list showcases how Big Data is used in the transportation and logistics industry:

Route Optimization: Analyzing traffic patterns and delivery routes to optimize transportation and reduce fuel consumption.

Predictive Maintenance: Using sensor data to predict and prevent equipment failures, reducing downtime and maintenance costs.

Supply Chain Visibility: Providing real-time insights into supply chain operations, improving transparency and efficiency.

Energy

The energy sector leverages Big Data to optimize production, manage consumption, and improve sustainability. Some of its key applications are listed below:

Smart Grids: Analyzing data from smart meters and sensors to optimize energy distribution and reduce outages.

Predictive Maintenance: Monitoring equipment and infrastructure to predict and prevent failures, improving reliability.

Energy Consumption: Analyzing consumption patterns to promote energy efficiency and reduce waste.

Entertainment

In the entertainment industry, Big Data is used to understand audience preferences, optimize content delivery, and enhance user experiences. Here are some of the key applications of Big Data that are transforming the entertainment industry.

Content Recommendation: Using data analytics to recommend personalized content to users on streaming platforms.

Audience Analytics: Understanding viewer behavior and preferences to inform content creation and marketing strategies.

Revenue Optimization: Analyzing data from ticket sales, merchandise, and advertising to maximize revenue streams.

Conclusion

The advent of Big Data has fundamentally transformed the way organizations operate, providing unprecedented opportunities for innovation, efficiency, and growth. From healthcare to finance, retail to energy, Big Data is driving advancements and enabling data-driven decision-making across various sectors.

Understanding the fundamentals and applications of Big Data is essential for anyone looking to thrive in today’s digital landscape.

To harness the full potential of Big Data, a strong foundation in Data Science is crucial. If you’re ready to embark on a journey to become a proficient data scientist, consider enrolling in Pickl.AI’s Data Science course. This comprehensive program offers hands-on training and expert guidance to equip you with the skills needed to excel in the field of Data Science.

Start your journey with Pickl.AI and transform your career with the best Data Science program available. Join now and unlock the power of Big Data to drive your success.

[l-1-z-a]

📺💰💹 The Sims 2 major in Economics is crazy! 💵

Hi simmers! What exactly does the Economics major in The Sims 2 University say about Sim society? In this video, I take a closer look at the course names and skill requirements linked to the major—and uncover the hidden jokes and real-world references Maxis tucked into it. If you love deep dives into classic Sims content, this one’s for you!

Detailed Analysis of the "Economics" Major in The Sims 2 University

In this video, the author named Reese presents an in-depth analysis of the "Economics" major in The Sims 2 University. The author explores the course titles for each year of study, their connection to real-world economic concepts, and hidden jokes that the Maxis developers included in the game. The required skills for successfully completing the major and their symbolic significance in the context of real economic education are also discussed.

Introduction to the "Economics" Major

The video’s author begins with a general description of economics in The Sims 2 University, defining it as the study of goods and services. According to the author, economics in the game is presented as a challenging but potentially lucrative profession, where talented economists can become successful businesspeople if they learn to navigate the markets. This mirrors the real-world perception of economics as a complex but financially rewarding field that requires deep knowledge and analytical skills.

In the game, the "Economics" major prepares Sims for work at Landgraab Enterprises (a parody of the Landgraab family, known in The Sims series as a symbol of wealth and corporate power). Through the course titles, the developers convey a particular, often satirical, view of the economic system and the corporate world.

Analysis of First and Second Year Courses

First Year Courses

In the first semester, freshmen take a course titled "Why money does grow on some trees" This is a play on the expression "money doesn’t grow on trees," emphasizing that wealth is limited and must be earned. The author points out the irony of the title, as in The Sims 2, money trees can indeed be grown by spending aspiration points.

On a deeper level, this course may reference economic inequality and the unfair distribution of wealth in society. The title might also allude to economic concepts such as investments and compound interest, where money "grows" through smart financial decisions, or to corruption and loopholes that allow some people to become rich with little visible effort.

In the second semester, students take the course "Work is for Losers: A counterfeiting workshop" This is a humorous and exaggerated interpretation of economic principles, likely referencing illegal money-making schemes and critiquing traditional work. The author links the title to the money printer that Sims can obtain through aspiration rewards, presenting a clear alternative to regular employment.

Second Year Courses

In the first semester of the second year, students study "Economic Forecasting: Guessing never hurt anybody" The title alludes to the unpredictability and uncertainty of economic forecasts. Although economic forecasting involves using data, models, and trends to predict future conditions, even with complex tools, forecasts are often highly inaccurate, making the joke that guesses are as valid as actual analysis.

In the second semester, the course is called "Laissez-Faire and other lazy policies" This is a play on words, mocking the economic philosophy of laissez-faire by associating it with laziness. The term "laissez-faire" comes from French and means "let do" or "don’t interfere," referring to a policy where the government minimizes its involvement in markets, allowing business to operate with little regulation. The joke lies in the idea that non-intervention could be considered "lazy governance."

Third and Fourth Year Courses

Third Year Courses

In the first semester of the third year, students take "Econometrics: Graphs a'plenty" The title refers to econometrics’ heavy reliance on graphs, statistics, and data analysis. Econometrics applies mathematics, statistics, and economic theory to analyze economic data, often involving the creation of numerous charts and diagrams to visualize trends and relationships.

The phrase "graphs are plenty" implies that students studying econometrics are literally buried in graphs, creating an information overload—something that could be very realistic for actual economics courses. This is a satirical take on the field, as econometrics is often seen as a complex and highly technical subject, with the course title reducing it to simply producing many graphs.

In the second semester of the third year, the course is titled "Converting video game money into real simoleans" This humorous reference points to virtual economies, digital currencies, and the monetization of in-game assets in the real world. Simoleons are the in-game currency in The Sims, and the phrase might be a meta-joke about how players cannot cash out their Sims' wealth in real life.

Fourth Year Courses

In the first semester of the fourth year, students take "Exploiting the environment for fun and profit" This is a satirical reference to how industries exploit natural resources for economic gain, often with little regard for environmental consequences. Many industries, such as oil, timber, or mining, extract natural resources for profit, often causing deforestation, pollution, or habitat destruction.

The course title mocks the historical economic focus on profit at the expense of sustainability, highlighting how businesses maximize short-term gain while ignoring long-term ecological consequences. The author notes that this is an issue we are more aware of now, but one that still requires significant work.

In the second semester, the final year course is titled "Senior Project Internship: Coffeemaking at Landgraab Enterprises" This title mocks unpaid internships, corporate hierarchies, and the reality of entry-level jobs in business and economics. Many college or university students studying business and economics eagerly pursue corporate internships, only to find themselves performing menial tasks rather than engaging in real economic work.

Analysis of Required Skills for the "Economics" Major

The video’s author also analyzes the skills needed to successfully complete the "Economics" major in The Sims 2 University. To obtain this degree, Sims require 4 mechanical points, 5 charisma points, 4 logic points, and 4 creativity points. Each of these skills carries symbolic significance, reflecting real-world requirements for economists and businesspeople.

Mechanical Skills

The need for mechanical skills refers to the idea that economies, businesses, and financial systems are often compared to machines that must be understood, maintained, and fixed. This could be a nod to the fact that real economic models and theories sometimes require technical, almost engineering-like thinking to understand concepts such as supply chains, market mechanisms, and financial systems.

Charisma Skills

The need for charisma likely refers to how persuasion, negotiation, and leadership play crucial roles in business and economic success. In the real world, economists, business leaders, and financial professionals often need strong communication skills to convince investors, negotiate deals, sell ideas, or influence policy.

Whether someone is a CEO presenting the company’s vision, a stockbroker convincing clients, or an entrepreneur networking to grow their business, charisma is a valuable asset in the world of economics. It may also be a playful reference to the fact that economic success isn’t always about the numbers—sometimes it’s about who you know and how well you can seize opportunities.

Logic Skills

The logic skill refers to the fact that economics heavily relies on data analysis, problem-solving, and critical thinking. In the real world, economic professionals use logical reasoning to interpret market trends, create financial forecasts, and develop strategies for businesses and governments. Economic models, statistical analysis, and financial planning all require structured thinking and rational decision-making to understand how resources are allocated and how markets function.

Creativity Skills

Finally, the need for creativity reflects the importance of innovation, problem-solving, and out-of-the-box thinking in economics and business. Although economics is often seen as a field driven by numbers, success in areas like marketing, entrepreneurship, and economic strategy requires creative approaches. Businesses need inventive advertising campaigns, unique product ideas, and fresh solutions to economic problems.

Creativity is also crucial in economic theory and policy, where economists must devise new ways to address financial crises, market disruptions, and global trade issues. Overall, this is a nod to the fact that some of the most successful people in business—entrepreneurs, inventors, and CEOs—are not just logical thinkers but also visionaries who bring new ideas to life.

Conclusion

Reese's video offers a deep analysis of how the "Economics" major in The Sims 2 University reflects and satirically comments on real-world economic concepts, business practices, and social issues. Through course titles and skill requirements, the game’s developers, Maxis, convey multi-layered jokes and critiques about capitalism, corporate culture, environmental sustainability, and the nature of economic education.

This gaming interpretation of economics shows how even in entertainment content, deeper social commentary can be embedded. The Sims 2 University uses humor and exaggeration to encourage players to reflect on the real economic structures they live within, offering both a critical view of the capitalist system and an acknowledgment of the complexity and breadth of economic science.

Such analysis demonstrates that video games not only serve as entertainment but can also function as a means of social commentary, reflecting and critiquing aspects of the real world through the lens of game mechanics and narrative elements.

[river-taxbird]

The Four Horsemen of the Digital Apocalypse

Blockchain. Artificial Intelligence. Internet of Things. Big Data.

Do these terms sound familiar? You have probably been hearing some or all of them non stop for years. "They are the future. You don't want to be left behind, do you?"

While these topics, particularly crypto and AI, have been the subject of tech hype bubbles and inescapable on social media, there is actually something deeper and weirder going on if you scratch below the surface.

I am getting ready to apply for my PhD in financial technology, and in the academic business studies literature (Which is barely a science, but sometimes in academia you need to wade into the trash can.) any discussion of digital transformation or the process by which companies adopt IT seem to have a very specific idea about the future of technology, and it's always the same list, that list being, blockchain, AI, IoT, and Big Data. Sometimes the list changes with additions and substitutions, like the metaverse, advanced robotics, or gene editing, but there is this pervasive idea that the future of technology is fixed, and the list includes tech that goes from questionable to outright fraudulent, so where is this pervasive idea in the academic literature that has been bleeding into the wider culture coming from? What the hell is going on?

The answer is, it all comes from one guy. That guy is Klaus Schwab, the head of the World Economic Forum. Now there are a lot of conspiracies about the WEF and I don't really care about them, but the basic facts are it is a think tank that lobbies for sustainable capitalist agendas, and they famously hold a meeting every year where billionaires get together and talk about how bad they feel that they are destroying the planet and promise to do better. I am not here to pass judgement on the WEF. I don't buy into any of the conspiracies, there are plenty of real reasons to criticize them, and I am not going into that.

Basically, Schwab wrote a book titled the Fourth Industrial Revolution. In his model, the first three so-called industrial revolutions are:

1. The industrial revolution we all know about. Factories and mass production basically didn't exist before this. Using steam and water power allowed the transition from hand production to mass production, and accelerated the shift towards capitalism.

2. Electrification, allowing for light and machines for more efficient production lines. Phones for instant long distance communication. It allowed for much faster transfer of information and speed of production in factories.

3. Computing. The Space Age. Computing was introduced for industrial applications in the 50s, meaning previously problems that needed a specific machine engineered to solve them could now be solved in software by writing code, and certain problems would have been too big to solve without computing. Legend has it, Turing convinced the UK government to fund the building of the first computer by promising it could run chemical simulations to improve plastic production. Later, the introduction of home computing and the internet drastically affecting people's lives and their ability to access information.

That's fine, I will give him that. To me, they all represent changes in the means of production and the flow of information, but the Fourth Industrial revolution, Schwab argues, is how the technology of the 21st century is going to revolutionize business and capitalism, the way the first three did before. The technology in question being AI, Blockchain, IoT, and Big Data analytics. Buzzword, Buzzword, Buzzword.

The kicker though? Schwab based the Fourth Industrial revolution on a series of meetings he had, and did not construct it with any academic rigor or evidence. The meetings were with "numerous conversations I have had with business, government and civil society leaders, as well as technology pioneers and young people." (P.10 of the book) Despite apparently having two phds so presumably being capable of research, it seems like he just had a bunch of meetings where the techbros of the mid 2010s fed him a bunch of buzzwords, and got overly excited and wrote a book about it. And now, a generation of academics and researchers have uncritically taken that book as read, filled the business studies academic literature with the idea that these technologies are inevitably the future, and now that is permeating into the wider business ecosystem.

There are plenty of criticisms out there about the fourth industrial revolution as an idea, but I will just give the simplest one that I thought immediately as soon as I heard about the idea. How are any of the technologies listed in the fourth industrial revolution categorically different from computing? Are they actually changing the means of production and flow of information to a comparable degree to the previous revolutions, to such an extent as to be considered a new revolution entirely? The previous so called industrial revolutions were all huge paradigm shifts, and I do not see how a few new weird, questionable, and unreliable applications of computing count as a new paradigm shift.

What benefits will these new technologies actually bring? Who will they benefit? Do the researchers know? Does Schwab know? Does anyone know? I certainly don't, and despite reading a bunch of papers that are treating it as the inevitable future, I have not seen them offering any explanation.

There are plenty of other criticisms, and I found a nice summary from ICT Works here, it is a revolutionary view of history, an elite view of history, is based in great man theory, and most importantly, the fourth industrial revolution is a self fulfilling prophecy. One rich asshole wrote a book about some tech he got excited about, and now a generation are trying to build the world around it. The future is not fixed, we do not need to accept these technologies, and I have to believe a better technological world is possible instead of this capitalist infinite growth tech economy as big tech reckons with its midlife crisis, and how to make the internet sustainable as Apple, Google, Microsoft, Amazon, and Facebook, the most monopolistic and despotic tech companies in the world, are running out of new innovations and new markets to monopolize. The reason the big five are jumping on the fourth industrial revolution buzzwords as hard as they are is because they have run out of real, tangible innovations, and therefore run out of potential to grow.

[digitalmarketer-amal]

Amal p k Your Gateway to Top Freelance Digital Marketing Services in Kerala

Introduction In today’s digital-first world, having a strong online presence is no longer optional—it’s essential. For businesses in Kerala looking to thrive in the competitive digital landscape, Best freelance digital marketer in kerala | calicut | kochi stands out as a trusted partner. Specializing in freelance digital marketing and SEO services, Best freelance digital marketer in kerala | calicut | kochi is helping businesses unlock their full potential online. In this blog, we’ll dive into what makes Best freelance digital marketer in kerala | calicut | kochi the go-to choice for businesses seeking the best freelance digital marketer in Kerala.

Why Choose Best freelance digital marketer in kerala | calicut | kochi?

Expertise in Freelance Digital Marketing Best freelance digital marketer in kerala | calicut | kochi is home to some of the top digital marketers in Kerala, offering a wide range of services, including SEO, social media marketing, content marketing, and more. Their team of skilled freelancers ensures that your business gets the attention it deserves.

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[copperbadge]

I am so close to being done with Royals/Ramblers I can taste it, and it's one of those frustrating situations where the last remaining work to be done is just annoying. I have to write one damn scene, which of course is the most emotionally fraught and difficult one, and then pick from the *counts on fingers* three separate versions of the epilogue I wrote, none of which are very satisfying. I'll probably slam them all together and then sort it out somehow.

And then I definitely have to give the whole thing one more pass before I think about posting, because it's going to clock in at right around 150K words, and I already have notes on continuity issues that need fixing.

Anyway, please enjoy this scene, in which I realized at the same time Gregory and Eddie did what a great joke their names make. (Some brief context -- Joan uses she/her but doesn't like the word "princess", so she chose the gender neutral Princeps as her title.)

Friday evening, when Gregory came on the air for the address, Eddie was sitting next to him, and Joan was leaning on Eddie's shoulder. Her excitement was almost a visible thing; she'd been fussed over that afternoon, Gregory helping her pick out clothing followed by Jerry doing her makeup for camera and Eddie doing a slightly less clumsy job of braiding her hair than she generally did. 

"Good evening, Fons-Askaz, Askazer-Shivadlakia, our neighbors, and our viewers abroad," Gregory said. Behind the camera, Jerry mouthed the words along with him absently. "I'm pleased to greet you all this Friday evening and I hope you're well. I find myself, for the second time in a year, setting aside the usual issues of the day and questions from citizens to talk to you about family...."

His idea had been to talk about Joan's history just a little, then introduce her as the newest Royal, their daughter the Princeps. He could use that as a platform to present to the country his new funding package for adoptive families, meant to encourage adoption and support children coming out of the foster system. Each half of that would hopefully make the other half seem less random.

It went pretty smoothly; Eddie chimed in at all the right moments, and Joan got to say a few words of introduction at the end. After he signed off, he gave her a hug and a forehead-kiss and told her she'd done a great job. 

And then Noah, standing with Monday and Jerry behind the camera in the little studio, said, "Well, you crashed the internet again."

Gregory sighed. "Can't blame Eddie this time, can we?" 

"It was only the tourism website, and it wasn't on purpose," Eddie said. 

"He was always breaking my stuff when we were kids," Monday said.

"Nope, this one's all Joan," Noah replied. "As soon as you introduced her as your daughter, traffic started spiking -- palace website, tourism website, and every royals' Photogram."

"Katie in Communications says told you so," Jerry said, already on the phone with her.

"Joan's Photogram is down, looks like bandwidth-suck. And there goes mine, and yours," Noah said, nodding at Gregory. "There's two hashtags trending, PrincessJoan and PrincepsJoan." 

"Let me call my guy at Photogram," Eddie said, taking his phone out. 

"You have a guy just like, at Photogram?" Monday asked.

"Yeah, he handles my requests, I send him sausages," Eddie answered. 

"How is it you simultaneously live in the 22nd century and the 14th?" Monday asked. 

"Have him kill the Princess hashtag," Noah suggested.

"It's fine," Joan said. "They can use it for now, it'll keep things, um." She narrowed her eyes, searching for the word. "Segmented. Spread out the discussion a little."

"Someone's been reading my data analytics memos," Gregory said. 

"You leave 'em out," she pointed out. 

"Good news is people seem excited," Noah continued. "The hashtag's glitching, it's moving so fast, but overall pretty positive," he added.

"Well, we knew this would be intense," Gregory said. Joan, studying her own phone, squeaked. "Joan?" 

"Mas Corbin tagged me," she said, with possibly the most excitement they'd seen from her, at least since her first trip in the Jaguar. 

"The footballer?" Gregory asked, confused.

"Who?" Noah and Eddie chorused. 

"He's a Shivadh footballer, I think he's playing in Ireland right now," Gregory said, and his voice took on a slight edge as he considered some of the reasons a football player might mention his daughter. "What did he say?" 

"Dedicating my next game to my new Princeps JoanMac, long may she reign," Joan read, and Gregory relaxed. "Congrats to Gin&Tonic, she's cute as a button. Mas Corbin thinks I'm cute!"

"Gin and Tonic?" Gregory asked, and then said, "Gregory and Theophile," right as Eddie and Monday both began to laugh. "How did neither of us think of that before?"

"You get used to it," Noah said to Joan. "All kinds of famous people are going to have opinions on you."

"What do I do?!"

"Gram him back," Noah said. "Comment and say thanks and that you're a fan and you'll be watching the game."

"I'm gonna have to do a video with some gin and tonic recipes," Eddie said, as Noah and Joan debated the best wording for her response. Gregory leaned back in his chair, exhaling, and let the chaos happen around him for a minute. 

[m2iconsulting]

Impact Assessment in Microfinance: Driving Sustainable Growth

Introduction

Microfinance plays a pivotal role in empowering low-income individuals and small businesses by providing them with access to financial services. However, to ensure that microfinance initiatives are truly effective, it is crucial to conduct thorough impact assessments. At M2i Consulting, we specialize in evaluating the effectiveness of microfinance programs and their contribution to sustainable development. This blog explores the importance, methods, and outcomes of impact assessment in microfinance.

Why Impact Assessment Matters

Impact assessment in microfinance helps stakeholders understand whether financial inclusion efforts are achieving their intended goals. It provides insights into:

The socio-economic upliftment of borrowers

The effectiveness of credit accessibility

The sustainability of microfinance institutions (MFIs)

The improvement in income generation and livelihood

By systematically measuring these aspects, MFIs can refine their strategies, enhance their services, and ensure long-term benefits for borrowers.

Key Methods of Impact Assessment

M2i Consulting employs various methodologies to conduct impact assessments, ensuring comprehensive and reliable results. Some of the most widely used approaches include:

Baseline and Endline Surveys

These surveys track changes in income, savings, and business growth before and after availing microfinance services.

Randomized Control Trials (RCTs)

RCTs compare groups that have received microfinance interventions with those that have not, ensuring an unbiased assessment of impact.

Qualitative Research Methods

Focus group discussions and in-depth interviews help gauge borrowers' perspectives and experiences.

Social Performance Metrics

These indicators measure financial literacy, women empowerment, and social mobility resulting from microfinance initiatives.

Outcomes of Effective Impact Assessment

When microfinance institutions implement robust impact assessment practices, they can achieve:

Enhanced Decision-Making: Data-driven insights help optimize loan structures and financial products.

Increased Transparency: Stakeholders, including investors and regulators, gain confidence in the institution’s operations.

Greater Financial Inclusion: Identifying gaps and addressing them leads to more inclusive financial services.

Improved Borrower Success Rates: Borrowers benefit from better-tailored financial solutions, leading to improved repayment rates and financial stability.

M2i Consulting: Your Partner in Microfinance Impact Assessment

At M2i Consulting, we leverage data analytics, field research, and industry expertise to conduct impactful microfinance assessments. Our mission is to ensure that microfinance interventions create lasting positive changes in the lives of the underserved.

By implementing structured impact assessments, microfinance institutions can drive sustainable growth and empower communities effectively. Contact M2i Consulting today to learn how our tailored assessment solutions can elevate your microfinance initiatives.

Conclusion

Impact assessment is a crucial element in the microfinance sector, ensuring that financial services truly benefit those in need. Through systematic evaluation methods, institutions can refine their approaches and maximize positive social and economic impacts. M2i Consulting remains committed to providing industry-leading impact assessment services to drive meaningful change in the microfinance landscape.

[formulaphoe]

a deep dive into endurance racing

wec for beginners

image source: british gq

the fia world endurance championship (wec) is a racing discipline where speed meets strategy, and drivers push their limits for hours on end. if you're new to this exhilarating world, or if you've been following it from a distance, we're going to explore everything you need to know about this thrilling motorsport.

what is wec?

image source: dailysportscar

the wec, established in 2012, is an international series of endurance races organised by the fédération internationale de l'automobile (fia). it brings together the best manufacturers and drivers from around the globe, testing not just their speed, but also their ability to endure the grueling demands of long-distance racing. each race can last anywhere from six to 24 hours, with teams often swapping drivers and strategising pit stops to keep their cars in peak condition.

key features

endurance racing format: unlike traditional races that might only last a couple of hours, wec events are marathons. the races include the iconic 24 hours of le mans, a test of stamina, skill, and strategy, held annually since 1923. other races in the championship include six-hour events at various tracks around the world.

diverse categories: the wec features several classes of cars, including le mans prototype (lmp) and grand touring (gt) categories. each class has its own unique set of regulations and performance characteristics, making for an exciting mix on the track

global reach: the championship hosts races in various countries, providing fans with a chance to experience a multitude of different tracks and cultures. from the rolling hills of spa-francorchamps in belgium to the iconic circuit de la sarthe in france, each location brings its own challenges and charm.

evolution of wec

image source: wec-magazin

the history of the wec is a fascinating one. it replaced the previous intercontinental le mans cup and aimed to revitalize interest in endurance racing. the early years saw fierce competition, particularly in the lmp1 class, which featured powerful hybrid prototypes from manufacturers like audi, porsche, and toyota. these teams showcased cutting-edge technology, blending performance with environmental considerations.

as the years progressed, regulations changed, leading to the introduction of the le mans daytona h (lmdh) class, which aims to bring more manufacturers into the fold. this class allows for greater technical freedom while ensuring that costs remain manageable, making it more accessible for teams looking to compete at the highest level.

iconic races and legendary teams

image source: autosport

one of the standout features of wec is its iconic races. the 24 hours of le mans is undoubtedly the crown jewel, drawing massive crowds and significant media attention. winning at le mans is considered one of the highest honours in motorsport, and teams prepare for it all year round.

aside from le mans, other races like the 6 hours of silverstone and the 6 hours of fuji have become staples in the endurance racing calendar. legendary teams such as audi, porsche, and toyota have built a rich legacy in these events, each with their own stories of triumph and heartache.

the role of technology

image source: pit lane

technology plats a massive role in wec racing. cars are equipped with hybrid powertrains, advanced aerodynamics, and sophisticated data analytics. this focus on innovation not only pushes the boundaries of performance on the track, but also helps manufacturers develop technologies that can be applied to road cars too. the crossover between motorsport and everyday vehicles is a hallmark of wec's philosophy, blending sustainability with speed.

sustainability and the future

as we move towards a more environmentally-conscious future, the wec has made significant strides in promoting sustainability. with the introduction of hybrid technology and plans for fully electric racing, the championship is at the forefront of a green revolution in motorsport. this focus on eco-friendliness doesn't sacrifice the excitement and competitiveness that fans crave; instead, it enhances the sport's relevance in a changing world.

how to get involved

image source: racer

whether you're a die-hard motorsport enthusiast or a casual fan, getting involved in the wec can be incredibly rewarding. attending a race is an experience like no other. the atmosphere is electric, and the camaraderie among fans is palpable. for those who prefer to enjoy the action from home, wec races are broadcast worldwide, often featuring comprehensive coverage that highlights not just the racing, but also the stories behind the teams and drivers that make up the sport.

sources

"fia world endurance championship." fia wec, www.fiawec.com/en/

"fia world endurance championship." wikipedia, 9 aug. 2024, en.wikipedia.org/wiki/FIA_World_Endurance_Championship

"wec beginner's guide: about the fia wec." wec-magazin, www.wec-magazin.com/features/about-the-fia-wec/

"fia world endurance championship." federation internationale de l'automobile, www.fia.com/events/world-endurance-championship/season-2023/fia-world-endurance-championship

"the world of wec: a beginner's guide to endurance racing." circuit of the americas, 1 sept. 2023, www.circuitoftheamericas.com/blog/2023/9/1/the-world-of-wec-a-beginners-guide-to-endurance-racing/

"history of the wec." wec-magazin, www.wec-magazin.com/features/history-of-the-wec/

if any errors or typos are noticed, PLS PLS point them out via comment, ask, or dm. if there is a specific topic you would like me to cover, send in an ask and i'll look into it!

[vague-humanoid]

I first heard about ghost artists in the summer of 2017. At the time, I was new to the music-streaming beat. I had been researching the influence of major labels on Spotify playlists since the previous year, and my first report had just been published. Within a few days, the owner of an independent record label in New York dropped me a line to let me know about a mysterious phenomenon that was “in the air” and of growing concern to those in the indie music scene: Spotify, the rumor had it, was filling its most popular playlists with stock music attributed to pseudonymous musicians—variously called ghost or fake artists—presumably in an effort to reduce its royalty payouts. Some even speculated that Spotify might be making the tracks itself. At a time when playlists created by the company were becoming crucial sources of revenue for independent artists and labels, this was a troubling allegation.

At first, it sounded to me like a conspiracy theory. Surely, I thought, these artists were just DIY hustlers trying to game the system. But the tips kept coming. Over the next few months, I received more notes from readers, musicians, and label owners about the so-called fake-artist issue than about anything else. One digital strategist at an independent record label worried that the problem could soon grow more insidious. “So far it’s happening within a genre that mostly affects artists at labels like the one I work for, or Kranky, or Constellation,” the strategist said, referring to two long-running indie labels.* “But I doubt that it’ll be unique to our corner of the music world for long.”

By July, the story had burst into public view, after a Vulture article resurfaced a year-old item from the trade press claiming that Spotify was filling some of its popular and relaxing mood playlists—such as those for “jazz,” “chill,” and “peaceful piano” music—with cheap fake-artist offerings created by the company. A Spotify spokesperson, in turn, told the music press that these reports were “categorically untrue, full stop”: the company was not creating its own fake-artist tracks. But while Spotify may not have created them, it stopped short of denying that it had added them to its playlists. The spokesperson’s rebuttal only stoked the interest of the media, and by the end of the summer, articles on the matter appeared from NPR and the Guardian, among other outlets. Journalists scrutinized the music of some of the artists they suspected to be fake and speculated about how they had become so popular on Spotify. Before the year was out, the music writer David Turner had used analytics data to illustrate how Spotify’s “Ambient Chill” playlist had largely been wiped of well-known artists like Brian Eno, Bibio, and Jon Hopkins, whose music was replaced by tracks from Epidemic Sound, a Swedish company that offers a subscription-based library of production music—the kind of stock material often used in the background of advertisements, TV programs, and assorted video content.

For years, I referred to the names that would pop up on these playlists simply as “mystery viral artists.” Such artists often had millions of streams on Spotify and pride of place on the company’s own mood-themed playlists, which were compiled by a team of in-house curators. And they often had Spotify’s verified-artist badge. But they were clearly fake. Their “labels” were frequently listed as stock-music companies like Epidemic, and their profiles included generic, possibly AI-generated imagery, often with no artist biographies or links to websites. Google searches came up empty.

In the years following that initial salvo of negative press, other controversies served as useful distractions for Spotify: the company’s 2019 move into podcasting and eventual $250 million deal with Joe Rogan, for example, and its 2020 introduction of Discovery Mode, a program through which musicians or labels accept a lower royalty rate in exchange for algorithmic promotion. The fake-artist saga faded into the background, another of Spotify’s unresolved scandals as the company increasingly came under fire and musicians grew more emboldened to speak out against it with each passing year.

Then, in 2022, an investigation by the Swedish daily Dagens Nyheter revived the allegations. By comparing streaming data against documents retrieved from the Swedish copyright collection society STIM, the newspaper revealed that around twenty songwriters were behind the work of more than five hundred “artists,” and that thousands of their tracks were on Spotify and had been streamed millions of times.

[pythonjobsupport]

Data Analytics For Beginners | Introduction To Data Analytics | Data Analytics Using R | Simplilearn

Post Graduate Program In Data Analytics: … source

[ghnosis]

48/115 interviews coded!

I realized I never explained what coding means! dry academic stuff under the cut:

per Kathy Charmaz, "coding means categorizing segments of data with a short name that simultaneously summarizes and accounts for each piece of data. your codes show how you select, separate, and sort data to begin an analytic accounting of them." so what I do is I take the transcript of the interview and I read it line by line, and then I create some short little codes to help me describe what is going on in the data. this is called initial coding.

in practice, it looks like this:

I'm doing this by hand in Excel bc the software I *should* be using (NVivo) costs $475/year LMFAOOO

some of these codes, like TikTok or Year Zero or genderqueer, are used so I can quickly give statistics. this is how I know most of my interviewees are nonbinary/genderqueer/genderfluid/etc.

codes also show me emerging trends in data. for example, a lot of you used the word "flamboyant" or "theatrical" when I asked you if Ghost felt queer to you. a looooot of you talked about religious trauma, which I hadn't expected!

codes also help me understand you better, and explain you to academics. some codes are called in vivo codes (that's where NVivo gets its name), which are codes for things like your own personal definitions of things (like 'edgy' or 'queer' or 'goofy'), ghoul or Papa nicknames (insider knowledge/shorthands), or words like "shipping" that come from wider fandom.

once I get through the first round of coding, I'll take a break from the data for a while and go back to literature. this will be focused - some of you are linking the figure of Satan with queerness, for example, so I'll find some literary analysis that does the same thing (Per Faxneld's 2011 text Satanic Feminism is invaluable for this). I'll also be reading more about methodology, to make sure that I'm not just operating on hunches and cherry-picking data. I've been doing a lot of reading on feminist standpoint theory and queer theory as its own methodology, for example.

my plan, and we'll see how this pans out, is to write my methodology chapter and my literature review/introduction chapter after my first pass of coding, then go back to the data/transcripts with fresh eyes for coding round 2. this gets called "focused coding" sometimes. they follow trends I found in the data. again per Charmaz, "Focused coding checks your preconceptions about the topic." coding round 2 is when I'll probably bite the bullet and get NVivo, because I'll need software that lets me look across data better than Excel does. but! focused coding will be a problem for another day, lol.