Course information

Python Data Science Course Outline

Module 1: Introduction of Python

  • What is Python?
  • What can be Done by Using Python Programming Language?
  • Why Python?

Module 2: Working with IPython

  • Launching IPython Shell and Jupyter Notebook
  • Keyboard Shortcuts in the IPython Shell
  • Special Commands of Python
    • Pasting Code Blocks: %paste and %cpaste
    • Running External Code: %run
    • Timing Code Execution: %timeit
    • %magic and %Ismagic
  • IPython’s In and Out Objects
  • IPython and Shell Commands
  • Errors and Debugging
  • Profiling and Timing Code

Module 3: Introduction to NumPy

  • Understand Data Types in Python
  • NumPy Arrays
  • Universal Functions
  • Aggregations: Min, Max and more
  • Computation on Arrays: Broadcasting
  • Comparison, Boolean Logic, and Masks
  • Fancy Indexing
  • Sorting Arrays
  • NumPy’s Structured Array

Module 4: Working with Pandas

  • Installing and Using Pandas
  • Pandas Objects
  • Data Indexing and Selection
  • Operating on Data in Pandas
  • Handling Missing Data
  • Hierarchical Indexing
  • Concat and Append
  • Merge and Join
  • Aggregations and Grouping
  • Pivot Tables
  • Vectorised String Operations
  • Working with Time Series
  • eval() and query()

Module 5: Visualisation with Matplotlib

  • Overview of Matplotlibs
  • Object Oriented Interface
  • Two Interfaces
  • Simple Line Plots and Scatter Plots
  • Visualising Errors
  • Density and Contour Plots
  • Histograms, Binnings, and Density
  • Customising Plot Legends
  • Customising Colorbars
  • Multiple Subplots
  • Text Annotation
  • Three-Dimensional Plotting in Matplotlib
  • Visualisation with Seaborn

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Who should attend this Python Data Science Course?

This Python Data Science Training Course is designed to instruct Software Developers and Data Scientists in the advanced principles of utilising Python for Data Science Applications. The following professionals can benefit from this course:

  • Software Developers
  • Data Analysts
  • Machine Learning Engineers
  • Product Managers
  • Business Analysts
  • Natural Language Processing Professionals
  • Data Scientists

Prerequisites of the Python Data Science Course

There are no formal prerequisites for attending this Python Data Science Training Course. However, a basic understanding of programming would be beneficial.

Python Data Science Course Overview

Python is an open-source programming language known for its premier status and robust capabilities. It is also renowned for its user-friendly nature and extensive libraries tailored for data manipulation and analysis. This versatile language accommodates multiple programming paradigms, including object-oriented, functional, and structured programming. 

The Python Data Science Training Course has been meticulously crafted to empower participants with the programming skills necessary for the field of Data Science. Throughout this Data Science Training, delegates will delve deeply into the realm of visualising three-dimensional functions, gaining proficiency in techniques such as histograms, binning, and density estimation.

In this 3-day Data Science Course offered by The Knowledge Academy, delegates will be immersed in a comprehensive learning experience. They will discover how to construct arrays from the ground up, working with both Python lists and custom arrays. Additionally, delegates will develop a profound understanding of data manipulation using the powerful panda’s library.

Course Objectives

  • To equip participants with proficiency in Python
  • To establish a solid foundation in data manipulation using Python at the advanced level
  • To cultivate expertise in data visualisation techniques, including the creation of line plots, scatter plots, and the visualisation of three-dimensional functions
  • To instruct participants in advanced data visualisation skills, such as crafting histograms, performing binning, estimating density, and customising plot legends and colourbars
  • To broaden programming versatility by imparting knowledge of multiple programming paradigms supported by Python

Upon completing this Python for Data Science Course, delegates will have the knowledge and skills required to personalise their Matplotlib visualisations as well.

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What’s included in this Python Data Science Course?

  • World-Class Training Sessions from Experienced Instructors 
  • Python Data Science Certificate 
  • Digital Delegate Pack

Why choose us

Our Munich venue

Includes..

Free Wi-Fi

To make sure you’re always connected we offer completely free and easy to access wi-fi.

Air conditioned

To keep you comfortable during your course we offer a fully air conditioned environment.

Full IT support

IT support is on hand to sort out any unforseen issues that may arise.

Video equipment

This location has full video conferencing equipment.

Munich is the largest and capital city of the German state Bavaria. It has an estimated population of about 1.5 million inhabitants; making Munich the third largest city in Germany, after Berlin and Hamburg. The educational system in Munich is also run by the German state and is compulsory for children to attend school up to the age of 18; and offers many public and private schools for children. The school system and is divided into four levels: Kindergarten Education is for children aged from three to 6, Elementary Education (Grundschule) is from Grade 1 to Grade 4, After Elementary School, children can go onto one of the three types of schools, Hauptschule, Realschule or Gymnasium, depending on their academic ability, academic achievement, self-confidence, the ability to work independently, and student’s family wishes; These Secondary education are form Grades 5 to 9 or 10 and is compulsory up to the age of 18, and Higher Education.

The city also offers scientific research institutions including The Max Planck Society which is an independent non-profit German research organisation. Munich has many universities including The Ludwig Maximilian University (LMU), also known as University of Munich, and The Technische Universität München (TUM); the University of Munich was established in 1472 making it the oldest university in the German state. The Ministries of Education and Research of the Federation and the German states (Länder) awarded these two of the first three German universities the title ‘Elite University’. The Ludwig Maximilian University (LMU) and the Technische Universität München (TUM) and the Technical University of Karlsruhe (Karlsruhe Institute of Technology) are considered Elite Universities thus have grater chances for research funds.

Munich is well known for the amount of Nobel Prize laureates starting with Nobel Prize laureates from 1901 including Wilhelm Conrad Röntgen to 2005 with Theodor Hänsch.

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Address

Novotel Hotel
Munich Airport
Nordallee 29
Munich
85356 DE

T: +49 8000101090

Ways to take this course

Experience live, interactive learning from home with The Knowledge Academy's Online Instructor-led Python Data Science Course in Munich. Engage directly with expert instructors, mirroring the classroom schedule for a comprehensive learning journey. Enjoy the convenience of virtual learning without compromising on the quality of interaction.

Unlock your potential with The Knowledge Academy's Python Data Science Course in Munich, accessible anytime, anywhere on any device. Enjoy 90 days of online course access, extendable upon request, and benefit from the support of our expert trainers. Elevate your skills at your own pace with our Online Self-paced sessions.

Experience the most sought-after learning style with The Knowledge Academy's Python Data Science Course in Munich. Available in 490+ locations across 190+ countries, our hand-picked Classroom venues offer an invaluable human touch. Immerse yourself in a comprehensive, interactive experience with our expert-led Python Data Science Course in Munich sessions.

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Highly experienced trainers

Boost your skills with our expert trainers, boasting 10+ years of real-world experience, ensuring an engaging and informative training experience

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State of the art training venues

We only use the highest standard of learning facilities to make sure your experience is as comfortable and distraction-free as possible

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Small class sizes

Our Classroom courses with limited class sizes foster discussions and provide a personalised, interactive learning environment

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Great value for money

Achieve certification without breaking the bank. Find a lower price elsewhere? We'll match it to guarantee you the best value

Streamline large-scale training requirements with The Knowledge Academy's In-house/Onsite at your business premises. Experience expert-led classroom learning from the comfort of your workplace and engage professional development.

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Tailored learning experience

Leverage benefits offered from a certification that fits your unique business or project needs

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Maximise your training budget

Cut unnecessary costs and focus your entire budget on what really matters, the training.

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Team building opportunity

Our offers a unique chance for your team to bond and engage in discussions, enriching the learning experience beyond traditional classroom settings

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Monitor employees progress

The course know-how will help you track and evaluate your employees' progression and performance with relative ease

What our customers are saying

Python Data Science Course in Munich FAQs

Python Data Science involves utilising the Python programming language and its libraries for tasks like data manipulation, visualisation, statistical analysis, predictive modelling and machine learning, enabling extraction of insights and making data-driven decisions across various domains.
There are no prerequisites for attending this Python for Data Science Course. However, a basic understanding of programming would be beneficial.
This Python for Data Science Training caters to aspiring Data Scientists, Data Analysts, Researchers, Business Analysts, Software Engineers, Statisticians, and anyone interested in leveraging Python for data analysis, modelling, and making data-driven decisions across various domains.
Yes. The Knowledge Academy offers 24/7 support for delegates before, during, and after this Python for Data Science Course.
This Python for Data Science Course comes with 3-day training sessions from experienced trainers, a digital delegate pack, and a certificate upon completion of the course.
The duration of this Data Science Python Training spans across 3 days.
Pursuing a career in Python for Data Science is highly rewarding, offering ample opportunities in various sectors, significant earning potential, and a strong demand for skilled professionals in the global job market.
This course offers comprehensive training in analytical techniques, boosts career prospects, enhances skill set for big data analysis, and provides hands-on project experience.
Upon completing this Python Data Science Course, delegates can pursue roles like Data Scientist, Data Analyst, Machine Learning Engineer, Business Analyst, Data Engineer, Research Scientist, AI Engineer, Quantitative Analyst, Financial Analyst, and Marketing Analyst across various industries.
In this Data Science with Python Training Course, you'll learn programming fundamentals, data manipulation with Pandas, data visualisation with Matplotlib, statistical analysis, machine learning with scikit-learn, and model evaluation.
Yes, one can become a Data Scientist with just Python, as it's a versatile language with libraries for data analysis, Machine Learning, and visualisation, making it sufficient for many data science tasks.
The training fees for Python Data Science Course certification in Munich starts from €3495
The Knowledge Academy is the Leading global training provider for Python Data Science Course.
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Many delivery methods

Flexible delivery methods are available depending on your learning style.

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High quality resources

Resources are included for a comprehensive learning experience.

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"Really good course and well organised. Trainer was great with a sense of humour - his experience allowed a free flowing course, structured to help you gain as much information & relevant experience whilst helping prepare you for the exam"

Joshua Davies, Thames Water

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