Practical Big Data Analysis Training in Germany

  • Learn via: Classroom / Virtual Classroom / Online
  • Duration: 5 Days
  • Level: Intermediate
  • Price: From €6,935+VAT
We can host this training at your preferred location. Contact us!

An introduction to Python, Data Science and Big Data, plus a deep introduction to the major Big Data technologies for the practitioners working with them.

This 5-day course is ideal for people who are currently working as software engineers with data, or in business intelligence, looking for a level-up to the next stage of large data analysis skills and contemporary patterns of Data Science.

You will learn how to work and model large sets of data and understand the statistical mathematical models behind it. You'll also work with SQL and NoSQL trends and understand how to create an effective hypothesis-approach way of working with data and discerning really measurable statistical outcomes.

Target Audience

Practitioners of data analysis and fledging data scientists who wish to leverage Big Data technologies such as NoSQL databases, Hadoop and Spark.

  • Basic knowledge of data base architecture and SQL
  • Basic knowledge in programming: variables, flow and scope and functions
  • Prior experience of working with data
  • Experience with Python or other scripting languages such as Perl will be an advantage

At the end of this course attendees will know:

  • Fundamentals of Data Science
  • Fundamentals of Machine Learning
  • Fundamentals of Python programming
  • Python's data and numerical packages
  • How to visualise data using Python
  • Different data models
  • What is a NoSQL database, how is it different from a (traditional) Relational Database
  • What is Hadoop
  • What is Spark

At the end of this course attendees will be able to:

  • Write Python programs to manipulate data
  • Use Python to visualise data
  • Query graph databases Neo4j
  • Query column store database Cassandra
  • Query document based database MongoDB
  • Use Hadoop and Spark
  • Use Python Machine Learning libraries to perform predictive analysis

  • Introduction to Data Science
  • Data Mining and Machine Learning
  • Data Models
  • NoSQL
  • Introduction to Python
  • Python and Data
  • Python Databases and SQL
  • Data Science and Numerical Python
  • MongoDB
  • Neo4j and Graph Analytics
  • Functional Programming
  • Hadoop and Ecosystem
  • Spark MapReduce
  • Spark SQL
  • Python Machine Learning


Contact us for more detail about our trainings and for all other enquiries!

Upcoming Trainings

Join our public courses in our Germany facilities. Private class trainings will be organized at the location of your preference, according to your schedule.

Classroom / Virtual Classroom
07 Juli 2024
Berlin, Hamburg, Münih
5 Days
Classroom / Virtual Classroom
08 Juli 2024
Berlin, Hamburg, Münih
€6,935 +VAT Book Now
Classroom / Virtual Classroom
12 Juli 2024
Berlin, Hamburg, Münih
5 Days
Classroom / Virtual Classroom
15 Juli 2024
Berlin, Hamburg, Münih
5 Days
Classroom / Virtual Classroom
15 Juli 2024
Berlin, Hamburg, Münih
5 Days
Classroom / Virtual Classroom
01 August 2024
Berlin, Hamburg, Münih
5 Days
Classroom / Virtual Classroom
09 August 2024
Berlin, Hamburg, Münih
5 Days
Classroom / Virtual Classroom
21 August 2024
Berlin, Hamburg, Münih
5 Days

Related Trainings

Practical Big Data Analysis Training Course in Germany

The Federal Republic of Germany is the second most populous country in Europe and is located in Central Europe. The official language of the country is German. Germany is one of the richest countries in the world. The main exports of the country include motor vehicles and iron and steel products.

Here are some fun facts about Germany:
The fairy tale writer, the Brothers Grimm, came from Germany and wrote many famous stories such as Cinderella, Snow White, and Sleeping Beauty.
Germany is home to the largest theme park in Europe, the Europa-Park.
The famous composer Ludwig van Beethoven was born in Germany.
The Autobahn, the German highway system, is known for having no general speed limit.


Berlin was divided by the Berlin Wall from 1961 to 1989. Known for its street art, Berlin has many colorful murals and graffiti throughout the city. Also, Berlin is home to many famous museums, such as the Pergamon Museum and the Museum Island. Many clubs and bars stay open until the early hours of the morning in this big city.

Another popular city is Munich, which is famous for its Oktoberfest beer festival that attracts millions of visitors every year. Munich is also home to many historic buildings, including Nymphenburg Palace and the Marienplatz town square.

The country's capital and largest city is Berlin, however Frankfurt is considered to be the business and financial center of Germany. It is home to the Frankfurt Stock Exchange, the European Central Bank, and many other financial institutions. Because of its central location within Europe and its status as a major financial hub, Frankfurt is often referred to as the "Mainhattan," a play on the city's name and its association with the Manhattan financial district in New York City.

Frankfurt is also a major transportation hub, with the largest airport in Germany and one of the largest in Europe, Frankfurt Airport. Additionally, it is a popular destination for tourists, with its historic city center, beautiful parks, and vibrant cultural scene.

Some of the top German technology companies like Siemens AG, Bosch, SAP SE, Deutsche Telekom, Daimler AG and Volkswagen has business centers in Frankfurt. The country has a strong tradition of engineering and innovation, and is home to many other world-class technology companies and research institutions.

Tailored to meet the specific needs of Germany, Bilginç IT Academy combines cutting-edge training methodologies with our comprehensive range of Certification Exam preparation courses and accredited corporate training programs. Experience a transformative approach to IT training that will redefine your expectations.
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