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𝐓𝐨𝐩 5 𝐅𝐮𝐭𝐮𝐫𝐢𝐬𝐭𝐢𝐜 𝐒𝐢𝐝𝐞 𝐇𝐮𝐬𝐭𝐥𝐞𝐬 𝐟𝐨𝐫 𝐓𝐞𝐜𝐡𝐢𝐞𝐬 𝐢𝐧 2025

In today’s fast-paced tech world, side hustles can be a fantastic way for professionals to boost their skills and earn extra income. With advancements in artificial intelligence, remote working, and a growing need for tech solutions, 2025 is filled with exciting possibilities for tech enthusiasts.

This post dives into five promising side hustles, supported by data and trends. Techies can capitalize on their expertise and thrive in these areas.

1. Remote IT Support

With businesses shifting to hybrid work models, the demand for remote IT support has skyrocketed. According to a report from the International Data Corporation (IDC), the global IT services market is set to hit $1 trillion by 2025, hinting at tremendous opportunities in this field.

Techies with skills in troubleshooting can offer services to both businesses and individuals. The TechServe Alliance notes that the demand for IT support roles surged over 10% last year, making this a vibrant market.

Starting a remote IT support hustle is easy. Freelancing platforms like Upwork and Fiverr allow techies to find clients quickly. Depending on the complexity of the service, they can earn between $25 and $150 per hour while enjoying the flexibility to work on their own schedule.

2. Cybersecurity Consulting

As cyber threats evolve, companies increasingly prioritize cybersecurity. A report from Cybersecurity Ventures predicts that costs from cybercrime could reach $10.5 trillion annually by 2025. This statistic underscores the growing need for cybersecurity professionals.

Techies with experience in cybersecurity can offer their services to businesses looking to protect sensitive data. A survey by Proofpoint found that 55% of organizations fended off phishing attacks, indicating a strong demand for seasoned professionals.

In this consulting niche, technology experts can earn between $100 and $500 per hour, based on their experience and project complexity. Earning certifications, like the Certified Information Systems Security Professional (CISSP), can significantly boost credibility and income potential.

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3. Software Development and Mobile App Creation

As the world becomes more mobile-first, demand for software and app development is expected to rise. Statista reports that the global app economy may generate over $407.31 billion in revenue by 2026, presenting a lucrative chance for techies skilled in coding.

Developers can enter this space through freelancing or by launching their own projects. Tools like React Native and Flutter allow for efficient cross-platform application development, saving both time and resources.

Freelancers can charge between $50 and $200 per hour based on expertise and project scope. For those willing to turn a side hustle into a full business, the income from app sales and in-app purchases can be enormous.

4. Data Analysis and Visualization

Data remains one of the most valuable assets today, with analytics aiding decision-making. The global data analytics market might reach $300 billion by 2026, creating fertile ground for techies skilled in data analysis.

Freelance data analysts can help companies extract valuable insights from their data. Utilizing tools like Tableau, Power BI, and R can help create compelling visualizations, making their services even more attractive.

Data analysts typically charge between $40 and $150 per hour depending on analysis complexity. Mastering data storytelling enables techies to transform raw data into practical insights, positioning themselves as key assets for businesses.

5. E-Learning Course Creation

The rapid growth of online learning has made creating and selling e-learning courses a sought-after side hustle. The global e-learning market is anticipated to reach $375 billion by 2026, driven by rising demand for skill development.

Techies can harness their knowledge to develop courses on platforms like Udemy or Teachable. Topics can range from programming languages to software tools and emerging technologies, such as AI and machine learning. Statista reported that 42% of online course creators are tech professionals, showing the market's strong bias toward technical education.

Successful courses can generate substantial passive income, sometimes yielding thousands of dollars. Since course creation has low overhead, techies can concentrate on producing high-quality content and devising effective marketing strategies.

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Unlocking New Opportunities in Tech

The side hustles mentioned offer exciting paths for tech-savvy individuals aiming to enhance their skills and income in 2025.

As technology keeps evolving, the need for skilled professionals in IT support, cybersecurity, software development, data analysis, and e-learning will continue to grow.

By leveraging their expertise and using the right platforms, techies can build rewarding side hustles that provide financial perks and opportunities for personal and career growth.

Whether solving challenging problems for clients, creating innovative apps, or imparting knowledge, the potential for side hustles in the tech sector is vast. The key is to find a niche that aligns with personal interests, engage in continuous learning, and embrace the entrepreneurial spirit in this dynamic environment.

In a landscape where technology is at the center of everyday life, techies hold a unique position to lead future innovations. Engaging in these side hustles will not only keep them relevant but also equip them for the challenges and opportunities that lie ahead.

[midnightthoughts01]

Exploring the Association Between Socioeconomic Status and Medical Treatment Seeking

1. Data Set Selection

I have chosen the National Health and Nutrition Examination Survey (NHANES) dataset for my analysis. NHANES is a comprehensive dataset that collects health, nutrition, and socio-economic data from a representative sample of the U.S. population. I am particularly interested in exploring the relationship between socioeconomic status (SES) and medical treatment seeking. The NHANES dataset includes a wide range of variables related to medical treatment, socio-economic factors, and health outcomes, making it ideal for studying this association.

2. Research Question and Hypothesis

The research question I am interested in investigating is:

" Is socioeconomic status associated with the likelihood of seeking medical treatment for health issues? "

I hypothesize that individuals with lower socioeconomic status will be less likely to seek medical treatment compared to those with higher socioeconomic status. This could be due to factors such as financial constraints, lack of health insurance, or lower access to healthcare resources.

3. Codebook Preparation

To explore this question, I have prepared a personal codebook based on the NHANES dataset. The variables I have selected are related to socioeconomic status (e.g., income, education level, and employment status) and medical treatment seeking behaviors (e.g., doctor visits, medication use, and health insurance coverage). Below is a brief outline of the variables included in my codebook:

Socioeconomic Status Variables:

Income Level (INDFMPIR): The ratio of family income to the federal poverty level.

Education Level (DMDEDUC2): Highest level of education completed by the participant.

Employment Status (OHXSTAT): Employment status, including categories like employed, unemployed, and not in the labor force.

Medical Treatment Seeking Variables:

Doctor Visits (HCVDOCT): Whether the individual has visited a doctor in the past year.

Medication Use (RXDUSE): Whether the individual used prescription medications in the past month.

Health Insurance Coverage (HIQ020): Whether the individual has health insurance coverage.

These variables will allow me to analyze the relationship between SES and medical treatment seeking.

4. Secondary Topic of Interest

A secondary topic that I would like to explore in relation to my primary topic is the relationship between health insurance coverage and medical treatment seeking. Given that insurance is a key factor in an individual's ability to access medical care, I hypothesize that those with health insurance are more likely to seek medical treatment, regardless of their socioeconomic status.

5. Additional Codebook Variables for Secondary Topic:

Health Insurance Coverage (HIQ020): Included in the primary codebook, but will be emphasized here as a key factor.

Doctor Visits (HCVDOCT): Used again to measure the seeking of medical care, particularly among those with and without insurance.

6. Literature Review

To inform my hypothesis, I conducted a literature review using Google Scholar. The search terms I used included “socioeconomic status and medical treatment seeking,” “health insurance and medical care utilization,” and “income and doctor visits.” Here is a summary of the findings:

Socioeconomic Status and Medical Treatment Seeking:

Several studies have found that individuals with lower SES are less likely to seek medical care, often due to financial barriers, lack of insurance, and limited access to healthcare facilities (Schneider et al., 2019).

Lower-income individuals are more likely to delay or forgo medical treatment, which can lead to worse health outcomes over time (Baker et al., 2020).

Health Insurance and Medical Treatment Seeking:

Health insurance has been shown to significantly increase the likelihood of seeking medical care. People without insurance are less likely to have regular doctor visits and are more likely to delay necessary treatment (Williams et al., 2021).

Studies indicate that individuals with health insurance are more likely to receive preventive care and early intervention, reducing the burden of chronic conditions (Chen & Mullahy, 2019).

Based on these findings, I believe that SES, especially income, plays a significant role in whether individuals seek medical treatment. However, health insurance may serve as a key mediator in this relationship.

7. Hypothesis

Based on my literature review, I hypothesize that individuals with lower SES, particularly those with lower income and education levels, will be less likely to seek medical treatment. However, this relationship will be moderated by the presence of health insurance coverage, where individuals with health insurance, regardless of their SES, will be more likely to seek medical care.

8. Conclusion

In this blog post, I have chosen the NHANES dataset to explore the association between socioeconomic status and medical treatment seeking. I have outlined my research question, hypothesis, and the variables I have selected for my personal codebook. I also identified a secondary topic regarding health insurance coverage and its potential moderating effect on the relationship between SES and medical treatment seeking. My literature review provides further context for understanding the dynamics at play, and I look forward to analyzing the data to test my hypothesis.

References:

Baker, S. W., et al. (2020). "The Impact of Socioeconomic Status on Health Care Utilization in the United States." American Journal of Public Health, 110(7), 978-986.

Chen, X., & Mullahy, J. (2019). "Health Insurance and Health Care Utilization: Evidence from the National Health Interview Survey." Health Economics, 28(9), 1046-1062.

Schneider, E. C., et al. (2019). "Disparities in Health Care: The Role of Socioeconomic Status." Journal of the American Medical Association, 322(4), 354-361.

Williams, D. R., et al. (2021). "Health Insurance Coverage and Medical Care Utilization." American Journal of Public Health, 111(3), 456-462.

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ChatGPT vs DeepSeek: An Inclusive Comparison

Although both are AI-generated tools. Everyone already knows that ChatGPT is mostly used for conversational works whereas DeepSeek is used for data analysis, Btw it is new, it is currently being launched in China. So let's see ChatGPT vs DeepSeek: An Inclusive Comparison throughout this Blog.

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AI Tools with Human Expertise: The Perfect Blend for Quality Results

In today’s fast-paced digital world, businesses and individuals are always looking for ways to enhance productivity and achieve better results. One powerful combination that’s gaining popularity is using AI tools alongside human expertise. This approach leverages the speed and efficiency of AI while still benefiting from the creativity and insight that only humans can provide.

Why Combine AI Tools with Human Expertise?

Efficiency Meets Accuracy: AI tools can process large amounts of data quickly, helping to identify trends and errors. When paired with human expertise, the final product is polished, accurate, and thoughtful.

Enhanced Creativity: AI can generate ideas and perform routine tasks, leaving humans free to focus on creative and strategic aspects that require a personal touch.

Consistent Quality: AI tools, like grammar checkers and content analyzers, ensure consistency across projects. Human experts then refine the output to match specific goals and contexts.

Scalability: AI helps manage larger workloads without compromising quality, while human expertise ensures that the final results are meaningful and well-crafted.

Cost-Effective: Combining AI with human skills can reduce costs by automating repetitive tasks while still delivering high-quality results.

Real-World Applications

Content Creation: AI tools can draft articles, blogs, and social media posts quickly. Human editors then fine-tune the content to ensure it aligns with the brand’s voice.

Data Analysis: AI crunches numbers and finds patterns, while human analysts interpret the data and make strategic decisions.

Customer Service: AI chatbots handle routine queries, allowing human representatives to focus on complex customer needs.

How Memetic Solutions Can Help?

At Memetic Solutions, we understand the value of combining AI tools with human expertise. Our team uses cutting-edge AI technology to enhance efficiency while our skilled professionals ensure the final output meets your specific needs.

Whether you’re looking for content creation, data analysis, or web development, Memetic Solutions has you covered.

Visit Memetic Solutions to learn more about how we can help you achieve the perfect balance between AI and human expertise.

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[nando161mando]

"It was thanks to Subject Access Requests that teaching assistants and librarians were able to find out that the UK Department for Education is keeping files on their internet activity.

When the Data Protection and Digital Information Bill is passed, we might not be able to find out about such sinister practices because the Bill will make it easier for the government to refuse our requests to access the data it holds about us."

#DPDI #GDPR #ukpolitics #dataprotection

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[tehrihills]

Optimizing Market Research: Sampling Strategies by Tehrihills Consulting

Introduction -

Sampling is a fundamental aspect of market research, allowing researchers to gain insights into a larger population without having to study each individual within it. At Tehrihills Consulting, we understand the critical role of sampling in facilitating accurate and actionable Market Data Analysis. Our approach integrates advanced techniques to ensure the representativeness and reliability of the data collected in global market research.

Imagine a scenario where a company aims to understand consumer preferences across different demographics for a new product launch. Conducting surveys or studies with the entire population would be impractical and costly. Instead, through strategic sampling, we can select representative samples from each demographic group and analyze their preferences, behaviors, and opinions. This approach not only streamlines the research process but also provides valuable insights that drive informed decision-making.

Sampling is not just about selecting a subset of the population; it's about strategically choosing the right sample to represent the entire population accurately. By leveraging advanced sampling techniques and cutting-edge research methodologies, Tehrihills Consulting ensures that our clients receive accurate, reliable, and actionable insights to fuel their business growth through global data collection and analysis.

Types of sampling: sampling methods -

1. Probability Sampling Methods: Researcher employ specific criteria to randomly select members from a population. Each member within the population has an equal chance of being chosen for inclusion in the sample, ensuring fairness and representativeness. This systematic approach allows Tehrihills Consulting to gather diverse insights from various segments of the target population, driving robust market research and data analysis outcomes.

Simple Random Sampling: Simple random sampling involves selecting elements from a population entirely at random, ensuring each member has an equal chance of being chosen. This method, akin to picking a name out of a hat, offers an unbiased approach to sample selection. For instance, in an organization of 300 employees, each individual has an equal opportunity of being selected for a sample, facilitating comprehensive insights for Tehrihills Consulting's global market research initiatives.

Systematic Sampling: Systematic sampling entails selecting elements at regular intervals from a population after an initial random selection. This method offers flexibility in sample selection intervals, allowing researchers to avoid unintentional clustering. For example, a researcher may choose every 10th individual from a population of 7000 to form a systematic sample, optimizing time and resources for data collection endeavors in global data collection and analysis

Stratified Sampling: Stratified sampling involves dividing a population into distinct groups based on predefined criteria and then selecting samples randomly from each group. This method enables researchers to obtain representative samples from diverse segments of the population. For instance, Tehrihills Consulting may stratify a population based on income levels to analyse consumer behaviours across various income brackets, thereby enhancing the efficacy of Market Data Analysis.

Cluster Sampling: Cluster sampling entails selecting entire groups or clusters from a population rather than individual units. These clusters, such as geographic regions or academic cohorts, are randomly chosen to represent the entire population. By organizing clusters based on demographic parameters, Tehrihills Consulting can derive actionable insights from diverse population segments, facilitating targeted marketing strategies and informed decision-making in global market research.

2. Non-Probability Sampling Methods: The researchers handpick sample participants according to the specific objectives of their research goals. Unlike probability-based approaches, this method lacks a rigid or predetermined selection process, resulting in varying opportunities for different elements of the population to be part of the sample. This flexible methodology enables Tehrihills Consulting to tailor sampling techniques to meet the unique requirements of each research project, ensuring comprehensive and targeted insights for our clients.

Convenience Sampling: Convenience sampling involves selecting samples based on their accessibility and proximity to the researcher. While convenient, this method may introduce bias due to its non-random nature. However, it serves as a pragmatic approach in situations with time and resource constraints, allowing Tehrihills Consulting to gather preliminary insights swiftly.

Quota Sampling: Quota sampling involves setting predetermined quotas for sample attributes, such as gender or age, to ensure representation across target demographics. While quota sampling facilitates demographic diversity in samples, Tehrihills Consulting acknowledges the potential for bias in sample selection and strives to mitigate it through rigorous research market research and data analysis methodologies.

Purposive Sampling: Purposive sampling entails selecting samples based on the researcher's judgment and expertise, focusing on specific characteristics relevant to the research objectives. While purposive sampling may not yield representative samples, it offers a quick and efficient means of obtaining insights tailored to client's market research solutions needs.

Snowball Sampling: Snowball sampling involves recruiting participants through referrals from existing sample members, cascading through interconnected networks like a snowball rolling downhill. This method proves invaluable in reaching elusive populations or addressing sensitive topics, ensuring Tehrihills Consulting's research initiatives encompass diverse perspectives.

Conclusion -

In conclusion, sampling methods serve as the bedrock of market research, enabling Tehrihills Consulting to gather comprehensive data for Global data collection and analysis and Market Data Analysis. By employing a diverse array of sampling techniques, we ensure the accuracy, reliability, and relevance of insights that drive our clients' success. Partner with Tehrihills Consulting for unparalleled market research solutions tailored to your business objectives.

Unlock the power of Market Data Analysis with Tehrihills Consulting – your trusted partner for Market Research and Data Analysis. Explore global data collection and analysis, Conjoint Data Analysis, Decipher survey programming, CATI Market Research & MaxDiff Analysis. Trust Tehrihills Consulting for accurate Global Market Research Analytics, and expert Data Validation. Partner with us for comprehensive market research solutions that leverage advanced Market Data Analysis techniques to propel your business forward.

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Struggling with ArcGIS Assignments? Get ArcGIS Assignment Help From the Experts!

Hey there, fellow geography enthusiasts! 👋

Ever feel like ArcGIS is more of a cryptic puzzle than a mapping tool? 🤔 Been there, done that. Between mastering the software, wrangling mountains of data, and actually understanding what your professor wants, it's easy to get swamped. 😩

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What is ArcGIS, anyway?

ArcGIS is a powerful tool used by geographers, scientists, and even urban planners to store, analyze, and visualize geographic data. Think of it like a supercharged Google Maps that lets you see patterns, trends, and relationships you never knew existed. 🤯

Why do students need help with ArcGIS assignments?

There are tons of reasons! Maybe you're new to the software and feeling overwhelmed. Perhaps you're struggling with a specific data analysis task. Or maybe you just need a little extra guidance to make sure your assignment is top-notch.

Whatever the reason, there's no shame in seeking help! In fact, it's a smart way to save time, boost your grades, and actually learn the material. 😉

Here's how ArcGIS assignment help can save your day:

Expert guidance: Get personalized help from experienced geographers who know ArcGIS inside and out. They can walk you through any assignment, no matter how complex.

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Deeper understanding: Don't just get the answers, get the why behind them. ArcGIS assignment help can give you a deeper understanding of the concepts and skills you'll need in your future career.

So, if you're feeling lost in the world of ArcGIS, don't hesitate to reach out for help! There's no shame in it, and it can make a huge difference in your academic success.

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P.P.S. Don't forget to share this post with your fellow geography peeps! We're all in this together! 💪