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From Python Basics to Data Science Mastery.

Python for Data Science Bootcamp

1200,-€ (excl. VAT)

Cost

4 Days

Duration

Participants will acquire the skills to write Python programs, manipulate and analyze data, create compelling data visualizations, and understand the basics of statistical analysis and machine learning. By the end of the Bootcamp, participants will be well-prepared to advance to more complex topics in machine learning.

Learning Objectives

No prior knowledge of programming or data science is required. Familiarity with basic mathematical concepts is beneficial.

Prerequisites

This Bootcamp is designed for anyone interested in harnessing the power of Python for data analysis and visualization. It's ideal for aspiring data scientists, analysts, or anyone curious about entering the field of data science and machine learning. Whether you're starting from scratch or looking to solidify your Python foundations before moving on to more advanced topics, this course is for you.

Who Should Attend

Join our Python for Data Science Bootcamp to become skilled in using Python for insightful data analysis. This course covers everything from basic Python programming to introductory machine learning. Learn to write programs, manage data, create visual charts, and understand statistics used in machine learning. Through practical projects using actual datasets, you'll get valuable hands-on experience. This course is designed to make complex concepts easy to grasp and apply.

Course Description

Python Fundamentals:

  • Basic Python syntax, variables, data types

  • Lists, indexing, slicing, functions, and methods

  • Introduction to object-oriented programming


Structuring Programs:

  • Conditional statements and control flow tools

  • If/Else Statements, Boolean Operations

  • Loops, dictionaries, and package management


Arrays & Dataframes:

  • Importing and cleaning data with NumPy and Pandas

  • Working with Pandas dataframes

  • Data wrangling and descriptive statistics


Analyzing & Visualizing Data:

  • Data analysis with Pandas, NumPy, and Matplotlib

  • Filtering, grouping, pivoting data for insights

  • Creating visualizations like bar charts and histograms

Course Outline

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Karl-Gruneklee Strasse 22,

37077, Gottingen

Germany

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