Python for Data Science
Data Science with Python is the most important tool to solve complex problems using data.
Contents & Schedule
Inhalte & Ablauf
Contenido y procedimiento
01. Einleitung:
01. Introduction:
01. Introducción:
As part of the introduction, you'll get an introduction to the basics of Data Science with Python, a brief derivation, and learn how you can use Data Science & Python in a professional context.
02. Theoretische Grundlagen:
02. Fundamentos teóricos:
02. Theoretical foundations:
Afterwards, the theoretical basics of Data Science with Python will be covered. Here you will get to know the most important program libraries for statistics in Python (Scipy, NumPy, Statistics, Pandas, ...).
03. Praktische Anwendung:
03. Practical application:
03. Aplicación práctica:
This part of the webinar is about the practical application of Data Science with Python in a professional context. The following contents will be covered here:
- Calculate mean value ratios (modal value, median, arithmetic mean)
- Calculate dispersion ratios (range, linear dispersion, variance, standard deviation, coefficient of variation)
- Identify outliers using outlier detection methods
- Calculate and graphically visualize positional distribution of data (histogram/boxplot)
- Calculate correlations statistically
- Calculate correlations between numerical variables
04. Q&A + Möglichkeit zur Zertifizierung:
04. Q&A & Ausleitung:
04. Sesión de Q&A y Salida:
04. Q&A + Posibilidad de certificación:
04. Q&A Session and ending:
04. Possibility of certification + Q&A:
At the end of the webinar, you will have the opportunity to discuss all your questions with the coach in a live interactive format and get direct answers. Our clear goal is that you take away no unanswered questions from the webinar and a good understanding of the basics of Data Science with Python and the implementation in a professional context.
After this webinar you have the option to get your knowledge certified.
Description:
Bist du ein/e Student*in oder Young Professional, der/die in den Arbeitsmarkt einsteigt? Willst du deine Fähigkeiten in Data Science verbessern? Dann solltest du unser kostenloses Webinar über Data Science mit Python nicht verpassen. Hier erfährst du von einem Experten die neuesten Data Science Trends und Techniken und wie du sie mit Python anwenden kannst. In diesem Webinar erhältst du das Wissen und die Fähigkeiten, die du brauchst, um dich auf dem umkämpften Arbeitsmarkt zu behaupten. Warte nicht - melde dich jetzt für unser kostenloses Webinar über Data Science mit Python an!
Why you should learn data science with Python?
Data Science is an increasingly important and valuable skill for students and young professionals entering the job market. It's the ability to work with data to gain insights and make predictions, and it's becoming increasingly important in many industries. With Data Science, you can make data-driven decisions, identify opportunities, and develop solutions that will help you stand out from the competition. As you learn Data Science, you'll also better understand how technology works and how to use it to your advantage. Ultimately, mastering Data Science will give you the skills to succeed in a data-driven world.
What can you earn with this skill?
The average income for entry-level Data Science professionals and freelancers varies widely depending on experience, location, and industry.According to PayScale, the average salary for Data Scientists in the U.S. is $95,000.Freelancers can receive an average hourly rate of between $50 and $100 or more, depending on the scope of the project and the freelancer's experience.As the demand for Data Science continues to grow, opportunities for well-paying jobs and freelance work will also increase.
Why this skill will become increasingly important in the future?
Data Science is becoming increasingly important for young professionals and students to succeed in the future. As the world moves more and more towards technologically advanced industries, Data Science will become an essential part of success. Data Science allows you to draw insights and make predictions from large amounts of data, which will become increasingly important in the future job market. It will also help you better understand how technology works and how you can use it to your advantage. Learning Data Science now will give you an edge in the competitive job market of the future.
Who is the webinar for?
- Students, entrepreneurs*, self-employed, freelancers, agency owners, managers* & students*.
- This webinar is for anyone who works with Python
- This webinar is suitable for anyone interested in a simple, professional and interesting introduction to the topic of Descriptive Statistics with Python
- This webinar is suitable for anyone looking to pursue a career in the data science environment
What are the technical requirements?
- Python installed with development environment, Anaconda Jupyter notebooks since data science libraries should already be installed
- Basic mathematical understanding
- A stable internet connection
- An internet enabled device (we recommend a computer, laptop or tablet)
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