Infopreneur

infopreneur, internet, information, product, laptop, entrepreneur,

What’s up ? This is THE stephane ANDRE !!! I watched an Olivier Roland’s video and I learned some good stuff.

I discovered what it was an infopreneur by reading Tim Ferriss‘s book « 4-Hour Workweek ». It was a book that was recommended in a personal development’s blog and this book has completely changed my way of seeing a « job ». This is definitely a point of view that we don’t learn at school, even at business school.

The profession of infopreneur is a very interesting profession and evolves all the time because of new technologies. In fact, if you don’t know, an infopreneur is a person who earns money on internet with information products. These information products aren’t news but they’re information to help people achieve a goal on a specific area.

What is special about this job is that we enable people to be more effective in things that are important to them and the result is that they’re happier.

Workplace

One of the advantage of this job is geographical freedom. The company is based on internet, which means that you only need a computer and an internet connection to work. There is no obligation to go to a workplace, you can work every day in a different place or in a different country as long as you have access to an internet connection. There are more and more jobs that allow you to have this freedom like programmer, virtual assistant, bookkeeper, data entry, copy writing, translator, travel agent, transcriber, etc.

It’s a profitable business because selling information on internet makes it easier to reach a large number of people with little money.

Distribution

internet company

Imagine how it was to sell a book before the invention of printing. Even if you had written the best book in the world, it was hard to live on it. Imagine, so that 2000 people can read your book, you needed 2000 handwritten copies of your book. Copying books was not a really cool job, so you can imagine how complicated it was. If you offer me a job that consists of copying 2000 books of 300 pages, I’ll answer you : « No, thanks !!! ».

With the invention of printing, authors started earning more mony because more people could read their books and that to increase later with the invention of copyrights.

With digital books (ebooks), it’s possible to sell 100 or 1 000 000 books without the huge costs of printing, distribution, storage and return management. There are still costs but they’re very low for the servers and the support (for example a client didn’t receive the email to download the ebook).

With internet, it give you the opportunity to manage the distribution of your information products yourself. Before internet, you had to have an appointment with a manager of a radio, television to reach as many people as possible. If this manager liked your work, you could have ads on radio, television but if this manager didn’t like your work, no ads.

Many talented people couldn’ have a great exposure to make known their talent because of these « Gatekeepers ». Internet allows you to no longer need to these gatekeepers to reach a large number of people.

If you want to know more, I advise you to read this article that I wrote. Click here .

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-Steph

P.S. If you’re in Miami and you like Caribbean food, go to my cousin’s bistro to eat Haitian food, click here.

Data Science Domains

matrix

I have just enrolled in a Data Science course on Udemy and I learned good stuff.

In Science, there are several domains. In Data Science, it’s the same.

data science domain

Data Science is composed of 3 fields : computer science, math and statistics and domain knowledge. But for some years, this changed a bit. Data Scientists need to have other skills than programming and statistics.

Look at this new diagram :

data science domain

Let’s look at these skills in detail.

Statistics

Data is the basis of the Data Scientists so they must be able to filter the data to have relevant data that will provide them with insights. This allow Data Scientist to build models to classify the population and make reliable forecasts of future events.

Visualization

Do you know the computers langage ? Do you know bytecode like « 00100010100101010110 » ? No and it’s the same for me. It’s for this reason that Data Scientists must have the ability to see through the data and especially show them to others. This is why visualization is an important skill to show the data.

Data Mining

This is the part of the work where the Data Scientist has to make the detective like Sherlock Holmes. It’s in this phase that we must look in the data for insights and abnormalities.

Database and Data process

It’s simple, the Data Scientist cleans the data, stores and processes the data in the database.

Pattern recognition, Machine learning et Neurocomputing

These 3 disciplines help explain to computers how to learn do to a specific task on its own. There are not things I’ll learn but these are interesting disciplines for some business problems.

In our world where competition is increasingly aggressive, technical skills are no longer enough. Here are other skills that Data Scientist need to have.

Communication

communication

Data Scientists need to interact with people everyday. They have to do that because the insights are not just in the data. There are insights that we can only find by talking to people. That’s why it’s important to not afraid to talk to people to ask them questions on a daily basis.

Presentation

This is another type of communication . In this case the Data Scientist doesn’t try to extract information but to explain what he/she found to the people. This is a very important skill because the Data Scientist is the intermediary between insights and people. It’s a bit the data translator, it’s simply explain the content of data.

Domain knowledge

Data Science can be used in any industry. One day you can do research to find fraudulent transactions and another day you can build a compensation model for employees of a medical establishment.

That is why, in what industry you work, you must do research and know quickly the necessary part of the industry. The rest will come naturally. Quickly learn the basics of the industry where you work.

Practice in real situations

Proverb : « It’s by forging that one you become a blacksmith » says everything. This concept is extremely applicable in Data Science.

Programmation

The 2nd basic domain of Data Scientists. The better you talk to your computer and the more efficient you are, the more successful you will be. If you don’t know how to program, learn this from today. Programming has to become a hobby, something you like to do.

Creativity

This is what make the difference between Data Scientist and Data Analysts. To become an excellent Data Scientist, you need to work your creativity. Be curious and you will find insights that nobody would never have found.

Now you know the skills needed to become an excellent Data Scientist. As you see I have a lot to do.

Share this article if you think it can help someone you know. Thank you.

-Steph