2019 Jobs – 5 Jobs That Didn’t Exist 10 Years Ago

What did you want to be when you were a kid? Firefighter, movie star, princess, and teacher are all common choices when we’re children.

Little did we know that there were cool and interesting jobs that hadn’t even been invented for us to consider! As we progress in our society and technologically, we need to invent new jobs to handle all of that progress and follow the trends.

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The five jobs in this post either didn’t exist or barely existed in the ancient times of the early 2000s. Keep reading to learn more!

1. Food Truck Coordinator
Food truck catering and food trucks in general are not a brand new concept, but the explosion in popularity is. It’s estimated that from 2011 to 2017, the industry has grown almost 8 percent every single year leading us to 2019 where the food truck industry has an estimated total revenue of $1 billion.

Because of this huge increase in food trucks, the career of food truck coordinator has emerged. Similar to an event planner or scheduler, a food truck coordinator is often responsible for a number of tasks, including:

Booking food trucks for events
Scheduling food truck catering
Event planning for parties, festivals, gatherings, and more
Advertising/marketing their events
Organizing certifications, paperwork, and other legal food truck regulations
Ensuring payment for food truck operators
2. Social Media Manager
In 2009, Facebook was a mere 5 years old with about 150 million users, LinkedIn had 55 million users, Twitter was barely used, and Instagram, Snapchat, and Pinterest didn’t even exist yet! Compare that to monthly users now: Facebook has 2.37 billion, Instagram boasts 1 billion, and Twitter has 330 million.

In 2009, social media certainly existed, but it didn’t have the scale or impact it has now. As the years have gone on, businesses have started to understand the huge impact and opportunity that social media can have on revenue and traffic.

Thus, the professional social media manager was born.

Social media managers analyze and run business social media pages on any and all influential platforms. They have to craft interesting and engaging posts to gain a great brand reputation, drive traffic to other channels, and even influence sales all while staying up to date on the latest social media trends, memes, and news!

3. Professional YouTuber
What began as a small site for posting cat videos and people falling on skateboards has now become the second most popular social media platform with 1.9 billion monthly users that generates an estimated $16 billion per year.

Thanks to the huge audiences and companies begging for YouTube advertisements and influencer marketing campaigns, popular YouTube content creators can make a career of creating videos. For example, the popular vlogger (“video blogger”) Lilly Singh brought in an estimated $10.5 million in 2018 thanks to her huge audience of 13 million subscribers.

4. Drone Operator
As with social media and food trucks, drones aren’t a new invention. However, as technology has improved, more advanced drones are being used for a number of applications.

Think about this: in 2009, there were only 146 drone permits in the United States. Not many, if any, opportunities to make a career out of flying drones.

Now, think about the growth the industry has seen: in 2018, the drone market had an estimated value of $14.2 billion . By 2024, it’s estimated that that number will almost triple up to $43.1 billion.

All of this growth in the drone industry means there’s a huge demand for certified and professional drone operators. From filmmaking to military use to disaster relief to package delivery, there are all sorts of positions available for “drone operator” to be considered a real career.

5. Uber Driver
While it might not be as exciting as operating a drone, operating a vehicle can now pay the bills. Uber was founded in March of 2009, Uber is now worth $72 billion and employs over 3 million drivers.

7 ways to become best digital marketer

It is important to be on top of the game in this advance digital world. As there is lot of competition in this industry, so to be in it, you have to showcase your best digital marketing skills whether you are just starting your career or looking to improve your skillset.

Here are so 7 tips that will help you be a better digital marketer.

Take best digital marketing course – when you join a best digital marketing course, you can learn several modules, learn new skills, discover advanced techniques and tools. Not only this course and certification help add achievements in your resume, but they will also help you better accomplish task in your daily work or your digital marketing projects. The course will help you know everything about google, analytics, advertisement, design and digital sales. So, learning
Digital Marketing Courses in Pune you can easily learn skills of digital Marketing.
Consume several digital marketing resources – No doubt there are several benefits when you complete a course, but there are micro learning opportunities that you should embrace as well. There are several resources available on internet like there are several publications and journals of industry expert which has to be followed to become best digital marketer. Also you should always be updated with the big players’ blog who keep posting on several online sites which definitely help. you also should take part in online conversations and concept and build these ideas in your work life.
Speak or participate at events and conferences – speaking in event or adding your word in a conference is one of the best way to gain confidence and you can show your skills and experience in an interactive way. Attending conference will provide you the biggest opportunity to know what others are doing and it will add value to your career. It will help you to learn from your mistakes and also you will have a greater exposure in the field of digital marketing.
Be a content creator – The best way to improve your digital marketing skills is to create it. Researching, writing and talking about digital marketing will refine your own concepts and values and also you will get the better experience and exposure to new ideas. To be the best digital marketer, you should start your own blog, host a digital marketing podcast, be always active and interactive on several social media platforms, collaborate with other influencers.
Experiment – Experimenting lot of things is one of the best way to expand your skills. But this is much easier to do in your early days like when you have just started with your career. Start working on your own projects, handle several case studies or public journals. Join several international digital communities which will help give you a better exposure.
Get experience – To get the best experience is when you challenge yourself to learn something new every day. Get internship in digital marketing company, work on several live projects and that will help you gain experience in a meaningful way.
Stay up to date with digital marketing news – Every day you will find new update in digital world. There are lot of people and companies who come up with several strategies to be on that top list of market and if you want to be with them or compete them it is important to know all old and latest tricks, and updates of digital marketing.
To conclude is, nobody enters the workforce as an expert in digital marketing, and you should learn, works daily to be a best digital marketer.

Takeaway: — TIP-Training Institute Pune is one of the Leading Brand for Digital Marketing Courses in Pune by industry Experts. We are available with 50 modules of Digital Marketing Training. TIP – Nurtured around 7500+ Careers | 79+ Corporate Training Workshops and 170+ College Workshops…We are Top Digital Marketing Training and Courses provider in Pune. We provide both Online and Classroom Training for all courses. We are also deliver other Training Program also, like SEO Training, Angularjs, Data Science, Salesforce, Blockchain, Hadoop, Python, Oracle fusion Financials, MVC, Informatica.

AI vs Data Science: Choosing the Best Career Path

Artificial Intelligence (AI) and Data Science are two of the hottest fields in the tech industry. With the rapid advancements in technology, the demand for professionals in these domains has skyrocketed. But what exactly are AI and Data Science, and which career path should you choose? In this article, we will delve into the intricacies of AI and Data Science, explore their roles and responsibilities, and ultimately help you make an informed decision about your career.

AI vs Data Science: What Are They?Artificial Intelligence (AI)

Artificial Intelligence refers to the development of machines and software that can imitate human intelligence and perform tasks without human intervention. It encompasses various technologies and techniques that enable machines to perceive, reason, learn, and make decisions. AI can be categorized into narrow AI, which is designed for specific tasks, and general AI, which aims to replicate human-level intelligence across a wide range of tasks.

Data Science
Data Science, on the other hand, revolves around extracting insights and knowledge from vast amounts of structured and unstructured data. It involves a combination of statistical analysis, machine learning, and data visualization techniques to uncover patterns, trends, and correlations in data. Data Scientists utilize their analytical skills to transform raw data into actionable insights that drive business decisions and strategy.

While AI focuses on creating intelligent machines, Data Science is primarily concerned with analyzing and interpreting data to derive meaningful insights.

AI vs Data Science: Roles and ResponsibilitiesAI Engineer
AI Engineers are responsible for designing, developing, and deploying AI-based models and systems. They work on training machines to perform specific tasks and develop algorithms that enable machines to learn from data and make intelligent decisions. AI Engineers collaborate with domain experts to understand business requirements and develop AI solutions that address specific problems. They work with various tools and technologies, such as machine learning frameworks, neural networks, and computer vision, to build intelligent systems.

Data Scientist
Data Scientists, on the other hand, are experts in analyzing and interpreting complex data sets to extract valuable insights. They employ statistical techniques, machine learning algorithms, and data visualization tools to identify patterns, trends, and relationships in data. Data Scientists work closely with stakeholders to understand business objectives and develop analytical models that provide actionable insights. They have a strong understanding of programming languages like Python and R, as well as data manipulation and data management techniques.

While both AI Engineers and Data Scientists utilize machine learning techniques, AI Engineers focus more on the development and deployment of AI models, while Data Scientists specialize in analyzing and interpreting data to drive decision-making.

AI vs Data Science: Which Is the Better Career Option?
Choosing between AI and Data Science depends on your interests, career goals, and skill set. Here are a few factors to consider:

Interest in Research and Analysis
If you are passionate about research and enjoy diving deep into data to uncover insights, Data Science might be the right path for you. Data Scientists play a crucial role in identifying trends, patterns, and correlations in data, and use their findings to drive business strategy. They have a strong foundation in statistics, mathematics, and analytical thinking.

Focus on Engineering and Development
On the other hand, if you are more inclined towards building intelligent systems and developing AI models, AI Engineering might be the better fit. AI Engineers work on designing and implementing algorithms, training models, and deploying AI solutions. They have a solid understanding of programming languages, machine learning frameworks, and software engineering principles.

Combination of Skills
It’s important to note that both AI and Data Science require a combination of technical skills. Proficiency in programming languages like Python, knowledge of machine learning algorithms, and familiarity with data manipulation and visualization techniques are essential for both fields. It’s advisable to start with a strong foundation in data science, as data is the backbone of AI and machine learning.

Conclusion
In conclusion, AI and Data Science are two distinct but interconnected fields. While AI focuses on developing intelligent systems, Data Science revolves around analyzing and interpreting data to derive insights.

Choosing the best career path depends on your interests, skills, and goals. Whether you decide to pursue a career in AI or Data Science, both fields offer exciting opportunities with high earning potential.

If you’re looking to upskill in AI or Data Science, Tutort Academy offers comprehensive courses in both domains. With hands-on projects and expert guidance, you’ll gain the practical knowledge needed to excel in these high-demand fields.