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How and where do I find clients?

08/02/2023 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS
There are many ways to find clients. First of all, you can search for clients in your network, e.g. among friends, relatives and acquaintances. Online platforms such as Upwork, Freelancer and Fiverr also offer a variety of clients. In addition, you can search for jobs on job boards or try to market your services directly to companies.
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Business Location Rostock - What Opportunities Does the Baltic Sea Region Offer?

06/23/2023 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS

Rostock has developed into an important business location in northern Germany in recent decades. The city is an important port for freight and passenger traffic on the Baltic Sea and a major location for the maritime industry. Shipyards, shipping companies and suppliers to the shipbuilding industry are located here.

Rostock is also an important hub in the logistics industry. The port has modern infrastructure and good transport links via road, rail and waterways. Goods from Scandinavia, Russia and other Baltic Sea states are transshipped here and transported onward.

Another important industry in Rostock is tourism. The city attracts many visitors every year who enjoy the historic old town, the beaches on the Baltic Sea and cultural events. There are numerous hotels, restaurants and recreational facilities that provide jobs.

The University of Rostock also contributes to the city's economic development. The university is one of the oldest in Germany and has a good reputation in research and teaching. Innovative ideas and technologies are developed here that drive the economy in the region.

Overall, Rostock as a business location offers a good infrastructure, a favorable location on the Baltic Sea and a wide range of industries and companies. The city is an important driver of economic development in Mecklenburg-Vorpommern and contributes to the creation of jobs and prosperity in the region.

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How do I get a volunteer position?

05/10/2023 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS

There are several ways to get a volunteer position in a newsroom. Here are some steps you can take:

Research: identify newsrooms you'd like to work for. Look at what media and publications they produce and what topics they cover.

Make contacts: look for contacts in the editorial offices where you would like to apply. Check out the newsroom's website to see who is in charge of human resources or editorial management and try to contact them. You could also try contacting editors or editorial staff via social media or LinkedIn.

Application: write a compelling application explaining why you want to volunteer in this newsroom, what experience and skills you bring to the table, and what you hope to gain from the experience. You should also include your portfolio or samples of your work to support your skills and experience.

Internships: Also consider doing internships in newsrooms in the meantime to gain experience and make contacts. Internships can often be a stepping stone to a volunteer position.

Network: Go to events and conferences hosted by journalists and editors to expand your network and make contacts. This is also a great way to hear about new opportunities.

It's important to be persistent and determined when pursuing a volunteer position in a newsroom. It can be a challenging and competitive industry, but showing passion and commitment will increase your chances of achieving your goal.

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How in demand are Data Scientists on the job market?

04/19/2023 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS

Data scientists are currently in high demand on the job market. According to various reports and forecasts, the demand for data science professionals will continue to rise in the coming years.

A study conducted by the job portal Indeed in 2021 found that Data Scientist are currently among the most in-demand jobs. Similar findings have been published in other studies and reports by McKinsey, LinkedIn and others.

The increasing demand for Data Scientists is due to the growing importance of data and data analytics in many industries and businesses. Companies need professionals who can analyze large amounts of data and derive insights from the data to make better decisions and optimize their business processes.

In particular, the demand for Data Scientists is high in industries such as finance, technology, healthcare, e-commerce, and research and development. In these industries, Data Scientists are used to analyze customer behavior, develop predictive models, optimize business processes, and identify patterns and trends.

Overall, it is certain that Data Scientists will continue to be in high demand in the future, as the importance of data and analysis will continue to increase in many industries and companies.

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Data Science Jobs - How and where to get started?

04/07/2023 | by Patrick Fischer, M.Sc., Founder & Data Scientist: FDS

Starting a career in Data Science can vary depending on your background and experience. Here are some ways to get started in the field:

Degree in a relevant field: A bachelor's or master's degree in computer science, statistics, mathematics, physics, or another related field can be a good starting point for a career in Data Science.

Data Analysis and Programming Skills: Experience in data analysis, programming, and working with statistical methods are essential for a career in Data Science. It is advisable to gain experience working with Python, R, SQL, and other relevant tools and technologies.

Internships and Volunteering: Internships and volunteering in Data Science projects or with companies can help gain practical experience and skills.

Online courses and certifications: Online courses and certifications in data science and related fields, such as data mining, machine learning, and artificial intelligence, can help gain knowledge and skills.

Networking: connecting with professionals and others in the industry can help identify potential job opportunities and gather information about the industry.

Some of the most common entry-level positions in data science include data analyst, data scientist, business analyst, and machine learning engineer. Most companies offering data science positions are looking for applicants with a combination of technical skills and an ability to interpret data and turn it into business results.

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