Data Analyst Course

Qualification for the job role of data analyst

Data Analyst Course

Course Description

Ongoing digitalization is leading to companies identifying data as a crucial factor in securing the future and being competitive. Demand for specialized employees who can effectively process and analyze data has been growing rapidly for several years. Data analysts play a central role in the digital transformation. They are the link between the specialist departments and executives in order to aggregate data and prepare recommendations for making data-driven decisions. The Data Analyst – Focus on Python course enables participants to independently clean, prepare and visualize data and to make company-relevant predictions. Participants also gain in-demand Python programming skills and statistics skills to qualify for the role of data analyst or other analytical roles upon successful completion of the course.

In this course you will learn:

How to implement complex data analyses in your domain of expertise

How to combine data sources (databases, APIs, web crawling)

How to understand the work steps within a complex analysis

Best practices for implementing data analytics

How to gain a competitive edge with data-driven decisions

Play Video

Target Audience

This course is suitable for anyone who wants to learn Python as a programming language and perform data analyses themselves. All you need is a general motivation to perform data analyses on your own and to learn the programming language Python in the shortest possible time.

Prerequisites for participation

No programming knowledge is required for the training. These skills are covered in the first module. However, your daily routine should involve using computers and common software applications.

Online course

72 hours

2 modules + 8 business cases + 1 final project

Advanced

German or English

Certificate of completion

€2,990.00 plus VAT

€3,558.10 incl. VAT

07.06.2021

Kursbeschreibung

In diesem Training lernst Du

How to implement complex data analyses in your domain of expertise

How to combine data sources (databases, APIs, web crawling)

How to understand the work steps within a complex analysis

Best practices for implementing data analytics

How to gain a competitive edge with data-driven decisions

Play Video

Zielgruppe

Voraussetzungen für die Teilnahme

No programming knowledge is required for the training. These skills are covered in the first module. However, your daily routine should involve using computers and common software applications.

What to Expect

Course Overview

Python Skills

Python is the #1 programming language for machine learning and data science and is relatively easy to learn, even for beginners.

Interactive tasks & final project

Apply what you have learned in interactive assignments and a final project where you perform an independent data analysis with an industry data set.

Job qualification

This course will qualify you directly for the job role of data analyst, as well as other analytical roles in BI, marketing or finance.

Modules

Modul 1: Python Basics

Learn Python basics in a data analysis context

Deepen programming knowledge in data-driven business scenarios

Develop programs to automate data analysis

Modul 2: Data Analytics with Python

Import and process data with the Python module Pandas

Incorporate external data sources into analyses

Apply basic statistics to company data

Data visualizations using Pandas, Matplotlib, and other Python modules

Implement a data pipeline for a variety of industry data

Write increasingly complex analysis code

Perform an independent data analysis with an industry data set

Start dates 

07.06.2021

Duration: 15 weeks

19.07.2021

Duration: 15 weeks

30.08.2021

Duration: 15 weeks

Download the curriculum now.

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. 

WHY STACKFUEL 

We are your strategic learning partner - including mentoring & support.   

Whether you are an employee, a manager, or looking for a job – we will help you become a data expert with our certified upskilling and reskilling courses, which are suitable for every specialist department and every career level. We’ll ensure you learn successfully with our dedicated mentoring team to keep an eye on your progress. Our practical tasks and projects will prepare you for dealing with the latest technologies and applications.  

LEARNING ENVIRONMENT

Train online in your browser in our interactive learning platform.   

Feedback

What our graduates say. 

Das Data Lab von StackFuel bietet für mich einen echten Mehrwert. Hier spürt man den Praxisbezug besonders gut. Die Aufgaben waren immer klar beschrieben und anschaulich dargestellt. So wusste ich immer, was ich machen muss. Das Training an sich war eine großartige Erfahrung!

Alexander GroßData Analyst bei AIC Portaltechnik

Den größten Mehrwert bietet für mich der Praxisbezug. Dank StackFuel kann ich das Erlernte schnell umsetzen und für mich adaptieren. Das ist der echte Lernerfolg hinter den Online-Trainings.

Lutz SchneiderStrategischer IT-Einkäufer bei Axel Springer SE

Die Inhalte des Online-Trainings von StackFuel waren sehr praxisorientiert. Es gab viele gute Beispiele und Projekte. Das fand ich sehr interessant und lehrreich. Seit dem Training hat sich mein Berufsalltag maßgeblich verändert: Ich bin jetzt Fachreferent für Datenanalysen in meiner Abteilung.

Jaroslaw Wojciech SulakFachreferent für Datenanalysen bei IAV GmbH

Die anwendungsfreundliche und flexible Weiterbildung Python-Programmierung hat meinen Blick auf komplexe Datenstrukturen komplett verändert. Dank des nachhaltigen und gut durchdachten Lernkonzepts sowie der nahtlosen Anwendung der Lerninhalte in der Entwicklungsumgebung kann ich das neu erlernte Wissen jetzt in meinem Joballtag vertieft in der Testautomation umsetzen und Daten seitdem leichter und effizienter verarbeiten.

Jenny LindenauFachliche Leitung Testmanagement bei Bank Deutsches Kraftfahrzeuggewerbe GmbH

Check out our other courses. 

Python Basics Course

Programming tools with Python

Type:

Online course

Duration:

32 hours

Data Awareness Course

Basics for data-driven thinking and working

Type:

Online course

Duration:

12 hours

Data Driven Management Course

A Toolkit for Managers

Type:

Online course

Duration:

6 hours

Check out our learning platform now!

Find out why more and more leading companies are using StackFuel to train their employees online. In our a call with us, you’ll learn how your company can build data skills and make your workforce transformation a smooth success.

proFit development program