Qualification for the Job Role of a Data Analyst

Data Analyst – Focus Python

Course description

With the certified online course to become a Data Analyst with focus on Python, you will enter the world of data analytics. You will be able to independently clean, prepare and visualize data and make predictions relevant to your company. You will gain in-demand skills in the programming language Python and machine learning. Furthermore, you will finish the program with a final project, so that upon successful completion of the career path, you will be qualified for the job role of data analyst or another analytical role such as business intelligence analyst or financial analyst.

In this training you will learn

  • Discover and filter data sources
  • Combine and prepare data professionally
  • Perform advanced data analyses independently with
  • Write simple scripts in the Python programming language
  • Make simple predictions
  • Best practices for effective data visualization
  • Target group

    The beginner’s course is suitable for anyone who wants to learn Python as a programming language and to perform data analyses independently. You should have a basic motivation for data analytics and programming. This course is also suitable for career changers.

    Requirements for participation

  • Assessment
  • Basic knowledge of mathematics & statistics
  • Play Video
    Your Data Analyst course will help you to qualify for the job entry as a Data Analyst.
    • Type

      Online course

    • Duration

      3.5 months

    • Structure

      2 modules + 1 final project

    • Level

      Entry level

    • Languages

      German or English

    • Completion

      Certificate of completion

    • Price

      incl. VAT

    That awaits you

    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.


    Module 1: Beginner’s Guide to Python

    Introduction to programming with Python

    Participants familiarize themselves with the interactive
    learning environment – the StackFuel Data Lab – and the Python
    programming language.

    Chapter 1 – Python Basics:
    Participants navigate through the Data Lab for the first time
    and get to know the basics of programming. They learn to store
    numbers and text as variables in Python and to store these as
    groups in lists. To complete these basics, participants also learn
    how to read error messages correctly.

    Chapter 2 – Programming Basics:
    Participants continue to build their fundamental programming
    skills. This chapter focuses on applying functions and, as well as
    conditional flow controls.

    Chapter 3 – Loops and Functions:
    The last chapter of the basics module is dedicated to flow control
    using loops. Participants broaden their abilities by importing
    additional Python packages and gain insight into code versioning
    with Git. By the end of the chapter, participants know the most
    important programming concepts that are important working as
    a data analyst.

    Module 2: Data Analytics with Python

    Independent collection, analysis and visualization of data
    with Python

    Participants learn to access, filter, and merge new data sources.
    They practice making company data available in attractive
    visualizations tailored to the target audience, and independently
    carry out classic data processing (importing, filtering, cleaning,
    and visualizing data).

    Chapter 1 – Data Pipelines (Pandas):
    This chapter teaches the efficient use of Pandas – the standard
    data analysis tool in Python. Participants learn to use it to read,
    clean, and aggregate data in CSV files.

    Chapter 2 – Data Exploration (Matplotlib):
    Participants practice visualizing different types of data using
    marketing data. Numeric data is represented as histograms and
    scatter plots, while categorical data is represented as column
    and pie charts.

    Chapter 3 – Predictions (Statistics):
    Participants learn statistical concepts such as the median and
    quartiles using product ratings. They identify outliers and make
    simple predictions using linear and logistic regression.

    Chapter 4 – Internal Data (SQL):
    Participants learn to read databases using a human resources
    database as an example and formulate standard SQL queries.

    Chapter 5 – External Data (API):
    Participants use Python to access information such as web pages
    and APIs designed by StackFuel on the Internet.

    Chapter 6 – Advanced Jupyter:
    Participants learn Jupyter functionalities and solve advanced
    visualization problems such as live updates and interactivity in
    the context of a stock market scenario.

    Chapter 7 – Exercise Project:
    Participants analyze a New York taxi data set with over one million
    trips and use their Python skills as independently as possible to
    answer certain questions.

    Chapter 8 – Final Project:
    Participants analyze customer churn for a telecommunications
    company. They work through the entire data pipeline
    independently and answer typical questions. They then present
    their project in a 1-on-1 feedback session with the StackFuel
    mentor team

    Download the curriculum now.​

    Learning environment

    Train online in the browser in our interactive learning platform.

    StackFuel offers you an innovative learning environment with which you can develop your data skills in the most effective way – interactively and with real practical tasks. Learn to program in our data lab and develop algorithms and automations with real data sets from the industry. Convince yourself now and benefit from 80% practice in our training courses.
    Why StackFuel

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

    Whether you are an employee, unemployed or a manager – we will develop you into a data talent with our fundable further training and retraining courses that are suitable for every department and every career level. We ensure your learning success with our dedicated mentoring team and always stay on the ball with you. Our practical tasks and projects make you fit for dealing with the latest technologies and applications.
    100% FOR YOU

    Personalize your learning experience.

    Non-binding trial week
    With our non-binding trial week you get an insight into your desired training. Then you have the choice: either you decide on the training or you look for another one that suits you even better.
    Individual course modules
    With us you can put together the modules of your further training tailored to your needs. Whether business intelligence, data analytics, data science or programming: use your time optimally to build up expert knowledge and develop your skills individually.

    Here's what our graduates say.

    Payment options

    Find your suitable financing.

    With an education voucher, you can have your further education financed 100% by the job center or the employment agency if you are currently registered as unemployed or looking for a job.
    If you are employed, you can have your employer partially or fully finance your further training through the Qualification Opportunities Act – regardless of qualification, age and company size.
    If you are currently enrolled at a university or college in Germany, you can complete our courses at a 50% discount.
    Use our installment plan to spread the cost of your training over several months and maintain your financial flexibility.
    Pay safely and easily after your training by having us issue you an invoice.
    Our FAQ

    The most important questions at a glance.

    The need for data experts is high. Around 4 million data experts will be needed in Europe by 2025. And in 2021 alone, more than 80,000 positions for IT specialists were advertised in Germany. Above all, the demand for data and AI experts continues to increase enormously. But a decision for a data career is so much more than just a secure future decision! As a data expert, you deal with strong, socially relevant topics, and at the same time you are a tech professional and communicative and creative. The job is varied, can be combined with most other jobs and offers an attractive salary. And the most important thing: It can be learned with us without fail!
    Yes, after successfully completing the training, you will receive a certificate of completion from us that you can show when you apply. Data Analysts and Data Scientists are desperately needed in many economic sectors. Even without relevant professional experience, your chances of getting an entry-level job are good. In addition, there are analysts in almost every industry, they have different job titles, but the skills you need are the same as those of a data analyst or data scientist.
    No, the training is flexible in terms of time and designed to be part-time. You can pursue your profession without restrictions and can plan your learning times at the time that suits you best. If you suddenly have more time available, you are welcome to contact us by e-mail and we will activate the learning content for the part-time version in your account. In this variant, you can complete the training in just four weeks. If you notice that you need more time, you can still complete the content in the normal time.

    Yes, our online training courses should offer you the greatest possible flexibility. Basically, we recommend planning six to eight hours a week for studying. When you want to schedule this time is up to you and is not prescribed by us. In our career paths, the Data Analyst and Data Scientist course, we offer you live webinars where you can ask our mentors questions, but you don’t have to attend if it doesn’t fit into your schedule.

    (Participants in our funded training courses are an exception. They have to attend a fixed number of hours per week and are obliged to take part in the live webinars.)

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