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1. You haven't targeted the right audience: If you don't reach the right people, your campaigns won't get the results you want. Therefore, make sure that you define your target audience correctly and adjust your ads so that they are tailored to them.
2. Your offer is not attractive enough: if your offer is not attractive enough, leads will not buy it. Make sure your offer appeals to your target audience and offers them real value.
3. You don't have a clear call-to-action: If you don't have a clear call-to-action in your ads, leads won't know what to do next. Therefore, make sure you have a clear call-to-action that tells readers what to do.
4. Your landing pages are not conversion friendly: If your landing pages are not conversion friendly, leads will leave the page without converting. Make sure your landing pages are clearly structured, easy to navigate, and engaging.
5. You don't test: if you don't test your ads regularly, you will never really know if they work or not. Therefore, test different elements of your ads regularly to find out which ones work best.
Many students and high school graduates ask themselves what, in view of the future, would be a good and thus above all sustainable career choice.
If there is a fundamental interest and talent in the topics of IT, software, programming and statistics and mathematics, a number of possible courses of study could be listed.
Whoever finds the profession of a programmer or data engineer too one-sided should look into the job description of a data scientist.
In contrast to pure programmers, the profession of a Data Scientist combines planning, programming and statistical analysis and can therefore definitely be considered more diversified.
Currently, Data Scientists are highly demanded professionals in the labor market. However, whether labor demand in Data Science will continue to exceed supply remains to be seen.
Because in addition to the traditional route of studying, e.g., computer science or business information systems or bachelor's and master's degree programs directly in the field of Data Science, there are an increasing number of fast-track courses and private training programs designed to impart the skills in demand on the market in a compact or condensed format.
The increasing number of available Data Scientists, the further globalization and flexibilization and the increasing acceptance regarding the possible elimination of the need for a degree, could lower the salary level again, seen in the long term. At the same time, simpler tasks in the day-to-day work of a Data Scientist will be able to be partially or completely taken over by algorithms due to automation and advances in the field of artificial intelligence / AI.
One of our recipes for success is the constant development of our knowledge and skills.
After taking a deep dive into the Symfony ecosystem over the last few months and after reviewing thousands of blog posts, pdf's and videos on the topic of symfony in all versions, we are happy to henceforth offer you even faster project implementation with the PHP framework Symfony 5 using tools we developed ourselves.
Are you looking for a capable & experienced team to migrate your project and take it to the next level, or would you like us to implement your own ideas in a timely manner?
We look forward to hearing from you at info@fischer-data-science.com or via our contact form.
Do you have questions/comments/suggestions? Please use our contact form
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