Across most of the world right now many people are losing access to their usual means of making income. The Coronavirus pandemic has led to the closing of vast swathes of industry meaning that many business owners are unable to trade and employees are being laid off or furloughed in large numbers.
In the UK, where I am based, a recent Office for National Statistics (ONS) survey of 6,171 businesses reported that 24% had temporarily closed and 93% had lower than expected turnover. In the US, 3.2 million people filed for unemployment insurance in the last week alone, bringing the total unemployment claims since the beginning of the pandemic to a whopping 33 million.
In the US, 3.2 million people filed for unemployment insurance in the last week alone
As a data scientist, I have personally been affected by this crisis having temporarily lost my current 9–5 role. I have found myself in a period of vast personal economic uncertainty, in a world where fewer companies are hiring, and many businesses are facing collapse.
I have found myself in a period of vast personal economic uncertainty, in a world where fewer companies are hiring, and many businesses are facing collapse
Over the last few weeks, I have been looking at ways to independently use my skills to create an additional income source that may, at least partially, provide some financial security for the future.
In the following article, I am going to share three key areas I have found to use my data skills online to create an additional income.
The added benefit of earning income in this way right now is that you can choose your hours to work around other commitments. This is especially helpful if, like me, you are also a parent whose children are currently unable to attend their school or another childcare setting.
If you have been working in the field of data then you have valuable skills and knowledge that others can learn from. There are many online platforms which allow anyone with the appropriate skills and experience to create and market online courses and earn an income.
Datacamp has a network of 270 instructors which you can apply to join. They state that they currently have an audience of over 5.9 million data scientists, and course instructors can earn royalties through their revenue sharing platform. The current FAQ’s on the website state that average monthly earnings for instructors are in the region of $1,000-$2,000.
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Now in digital marketing, the skill of understanding and analyzing data is very valuable. For example, you can correctly analyze data for search engine optimization and keywords, and understand the conference level. This will be very useful in various areas, such as affiliate marketing or just freelancing. For example, in this source, you can understand how these skills will help you earn money by promoting your blog
If you accumulate data on which you base your decision-making as an organization, you should probably think about your data architecture and possible best practices.
If you accumulate data on which you base your decision-making as an organization, you most probably need to think about your data architecture and consider possible best practices. Gaining a competitive edge, remaining customer-centric to the greatest extent possible, and streamlining processes to get on-the-button outcomes can all be traced back to an organization’s capacity to build a future-ready data architecture.
In what follows, we offer a short overview of the overarching capabilities of data architecture. These include user-centricity, elasticity, robustness, and the capacity to ensure the seamless flow of data at all times. Added to these are automation enablement, plus security and data governance considerations. These points from our checklist for what we perceive to be an anticipatory analytics ecosystem.
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Essential information regarding how do dating apps make money and how does tinder make money. Moreover, we present unique ways to make money through dating apps.
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The opportunities big data offers also come with very real challenges that many organizations are facing today. Often, it’s finding the most cost-effective, scalable way to store and process boundless volumes of data in multiple formats that come from a growing number of sources. Then organizations need the analytical capabilities and flexibility to turn this data into insights that can meet their specific business objectives.
This Refcard dives into how a data lake helps tackle these challenges at both ends — from its enhanced architecture that’s designed for efficient data ingestion, storage, and management to its advanced analytics functionality and performance flexibility. You’ll also explore key benefits and common use cases.
As technology continues to evolve with new data sources, such as IoT sensors and social media churning out large volumes of data, there has never been a better time to discuss the possibilities and challenges of managing such data for varying analytical insights. In this Refcard, we dig deep into how data lakes solve the problem of storing and processing enormous amounts of data. While doing so, we also explore the benefits of data lakes, their use cases, and how they differ from data warehouses (DWHs).
This is a preview of the Getting Started With Data Lakes Refcard. To read the entire Refcard, please download the PDF from the link above.
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The impulse to cut project costs is often strong, especially in the final delivery phase of data integration and data migration projects. At this late phase of the project, a common mistake is to delegate testing responsibilities to resources with limited business and data testing skills.
Data integrations are at the core of data warehousing, data migration, data synchronization, and data consolidation projects.
In the past, most data integration projects involved data stored in databases. Today, it’s essential for organizations to also integrate their database or structured data with data from documents, e-mails, log files, websites, social media, audio, and video files.
Using data warehousing as an example, Figure 1 illustrates the primary checkpoints (testing points) in an end-to-end data quality testing process. Shown are points at which data (as it’s extracted, transformed, aggregated, consolidated, etc.) should be verified – that is, extracting source data, transforming source data for loads into target databases, aggregating data for loads into data marts, and more.
Only after data owners and all other stakeholders confirm that data integration was successful can the whole process be considered complete and ready for production.
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In this video, I’m going over 6 top profitable ways on how to make money online, from home! These ideas are perfect for new entrepreneurs, and require only a laptop and little to no money to start
If you want to earn money either as a side hustle or as a full time job, these lucrative ideas will definitely inspire you. I’ve been doing side hustles all my life, with many of them being online based. Especially with the pandemic, I think it’s super important to create a side hustle that you can do from home. These are high paying ideas that really have no cap to the amount of money you can make. And they’re not just your everyday ideas that everyone is throwing around - I guarantee some of these will spark your interest.
Here is what I will be going over in this video:
Freelancing - I will give you guys some creative gigs that you can go after. These are high paying, and honestly you can turn any of them into a full business if you want.
Targeted blog that is optimized for affiliates - blogging isn’t dead at all, and you can still make a 6 figure income if you create a high traffic blog that takes advantage of affiliate marketing
Selling PDF guides or notes - a little bit less conventional, but I’ll show you why digital products are so amazing, and how you can scale this idea into a 6 figure revenue.
Creating a website from scratch to sell a product - I’ll show you how I built my merch store using Wix, and why having a website like this is so important for your success.
Podcast - this seems like a tough one that is not monetizable, but in reality podcasts can make huge revenues if done right.
Social media manager or influencer manager - I’ll talk about why there is such a big untapped market for this and how you can take your love of social media and turn it into a lasting career.
📺 The video in this post was made by Charlie Chang
The origin of the article: https://www.youtube.com/watch?v=c_hV_D9PrEU
🔺 DISCLAIMER: The article is for information sharing. The content of this video is solely the opinions of the speaker who is not a licensed financial advisor or registered investment advisor. Not investment advice or legal advice.
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