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

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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

13.12.2021

WHAT TO EXPECT 

Course overview  

Data Literacy

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

Experteninterviews

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

engagiertes Mentoring

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 

13.12.2021

Duration: 15 Weeks

17.01.2022

Duration: 15 Weeks

14.02.2022

Duration: 15 Weeks

Dauer: 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.  

Feedback

What our graduates say. 

The Data Lab really offers added value, you notice instantly how the practical exercises are relevant to your work. The tasks were always clearly described and presented. So I always knew what to do. The course itself was a great experience!

Alexander GroßData Analyst at AIC Portaltechnik

The greatest added value for me is the content’s practical relevance. Thanks to StackFuel, I can quickly implement what I've learned and adapt it for my situation. That's the real learning success behind the online courses.

Lutz SchneiderStrategic IT Buyer at Axel Springer SE

The online StackFuel course content was very hands on. There were a great deal of good examples and projects. I found it very interesting and instructive. My professional life has changed significantly since the course - I am now a data analysis specialist in my department.

Jaroslaw Wojciech SulakSpecialist for data analysis at IAV GmbH

The flexible and user-friendly course completely changed my view of complex data structures. Thanks to the sustainable and well thought-out learning concept, as well as the seamless application of the course content in the coding environment, I can now put the skills I learned into practice in my day-to-day work in test automation and process data more easily and efficiently.

Jenny LindenauTechnical Manager Test Management at Bank Deutsches Kraftfahrzeuggewerbe GmbH

Check out our other courses. 

Python Basics Course

Programming tools with Python

Type:

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Duration:

32 hours

Data Awareness Course

Basics for data-driven thinking and working

Type:

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Duration:

12 hours

Data Driven Management Course

A Toolkit for Managers

Type:

Online course

Duration:

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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.