Qualification for the job role of data scientist

Data Scientist Course

Course Description

Data Science is a professional field with incredible potential that will continue to grow significantly in the coming years. The demand for qualified data scientists is very high, as there is a serious shortage of skilled workers in this area. Because of this, the data scientist job role is considered one of the most desirable and in-demand careers across various industries. In the age of digitalization, data science skills are as unique as they are sought-after: expertise in data analysis, programming skills in Python, and using machine learning and deep learning. Our Data Scientist – Focus on Python course enables participants to generate, verify and interpret predictive models from data in order to communicate the model results efficiently. Skill development in machine learning qualifies participants for the role of data scientist or other analytical roles upon successful completion of the course.

In this  course you will learn:  

  • Facilitate data-based (automated) decision making
  • Implement relevant data science projects using knowledge from your own subject domain
  • Make data-based business predictions
  • Apply performance metrics and supervised and unsupervised learning models with sklearn
  • Use data storytelling principles
  • Best practices of informative design of visualizations with bokeh algorithms of supervised and unsupervised learning such as decision trees and random forests
  • Play Video

    Target Audience

    This course is suitable for anyone who wants to analyze data and use it to make predictions as a basis for data-driven decisions. In addition, you should have an interest in machine learning.

    Prerequisites for participation 

    A good knowledge of Python and common modules (Pandas, Matplotlib) is required for the Data Scientist course.
    Online course
    108 hours
    3 modules + 8 business cases + 1 final project
    Expert
    German or English
    Certificate of completion
    €3,990.00 plus VAT
    €4,748.10 incl. VAT
    08.11.2021

    Kursbeschreibung

    Data Science is a professional field with incredible potential that will continue to grow significantly in the coming years. The demand for qualified data scientists is very high, as there is a serious shortage of skilled workers in this area. Because of this, the data scientist job role is considered one of the most desirable and in-demand careers across various industries. In the age of digitalization, data science skills are as unique as they are sought-after: expertise in data analysis, programming skills in Python, and using machine learning and deep learning. Our Data Scientist – Focus on Python course enables participants to generate, verify and interpret predictive models from data in order to communicate the model results efficiently. Skill development in machine learning qualifies participants for the role of data scientist or other analytical roles upon successful completion of the course.

    In diesem Training lernst Du

  • Facilitate data-based (automated) decision making
  • Implement relevant data science projects using knowledge from your own subject domain
  • Make data-based business predictions
  • Apply performance metrics and supervised and unsupervised learning models with sklearn
  • Use data storytelling principles
  • Best practices of informative design of visualizations with bokeh algorithms of supervised and unsupervised learning such as decision trees and random forests
  • Play Video

    Zielgruppe

    This course is suitable for anyone who wants to analyze data and use it to make predictions as a basis for data-driven decisions. In addition, you should have an interest in machine learning.

    Voraussetzungen für die Teilnahme

    A good knowledge of Python and common modules (Pandas, Matplotlib) is required for the Data Scientist course.
    What to Expect

    Course Overview

    Python Skills

    Python is the number one programming language for machine learning and data science and is relatively easy to learn - even for beginners.

    Interactive tasks & final project

    Apply your knowledge in interactive practical assignments and a final project in which you implement your own data science project with real data sets.

    Job qualification

    This course will qualify you directly for role of data scientist as well as other analytical roles in data teams.

    Modules

    •Use supervised and unsupervised learning models with sklearn
    •Build data pipelines and analyze performance metrics to optimize models
    •Use supervised learning algorithms such as decision trees and random forests and support vector machines in depth
    •Insights into deep learning and applying artificial neural networks with Keras
    •Apply Natural Language Processing (NLP) principles to analyze text data
    •Learn model agnostic methods to interpret models
    •Get to know big data methods with PySpark
    •Implement independent data science projects with real data sets

    Start Dates

    08.11.2021

    Duration: 18 Weeks

    20.12.2021

    Duration: 18 Weeks

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    Duration: 18 Weeks

    Download the curriculum now.

    Curriculum_DS
    LEARNING ENVIRONMENT

    Train online in your browser in our interactive learning platform.   

    StackFuel provides an innovative learning environment to develop your data skills in the most effective way – interactively and with real-world exercises. Learn to code in our Data Lab and develop algorithms and automate things with real industry datasets. Learn more now and benefit from 80% practical content in our courses. 
    LEARNING ENVIRONMENT

    Train online in your browser in our interactive learning platform.   

    StackFuel provides an innovative learning environment to develop your data skills in the most effective way – interactively and with real-world exercises. Learn to code in our Data Lab and develop algorithms and automate things with real industry datasets. Learn more now and benefit from 80% practical content in our courses. 
    Feedback
    What our graduates say. 

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