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Introduction to BI and Data Analytics

Further training for lateral entry into the job as a business intelligence analyst or data analyst

Certificate of completion
(Cross) boarding
part time
German, English
Free of charge with education voucher
Course description

The goal of the introductory course is to provide you with essential prior knowledge and skills that you need for a BI Analyst or Data Analyst advanced training. You will learn to describe the fields of business intelligence and data analytics and to create simple scripts in the Python programming language.

In this training you will learn
Introduction to Data Analytics
Data Analytics Tools
Introduction to Python
  • Introduction to data analysis
    • From collecting the data to visualizing the analysis results
    • Areas of activity Business Intelligence and Data Analytics
  • Basics of the Python programming language
    •  Standard data types
    • Variables
    • Error messages
    • If-Then Branches

Target audience

The advanced training is suitable for you and your career aspirations if you have a degree, ideally in the fields of mathematics, computer science, natural sciences, technology, business administration, (business) information technology or have a comparable qualification or previous experience.

Requirements for participation

Basic knowledge of mathematics & statistics

Modules

1
Day 1: Introduction to the learning environment
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Objective: Describing tasks and differences in the fields of business intelligence and data analytics

Content:

  • Welcome session
  • Course schedule and look at building blocks
  • Introduction to the learning environment
  • Defining the terms “data analytics” and “business intelligence”
  • The work of a BI Analyst
  • Data analytics case study:
    • Asking questions about the data
    • Data gathering
    • Structuring the data
    • Data analysis
    • Visualizing the result

2
Day 2: Activities of a Data Analyst, Introduction to Python Part 1
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The Work of a Data Analyst, Introduction to Python Part 1

Objectives: Using standard data types in the Python programming language and their native methods in the correct situations; Using flow control concepts

Content:

  • Defining the term “Big Data”
  • The work of a Data Analyst
  • Overview and differences between business intelligence and data analytics tools:
    • SQL, Power BI, Tableau, Qlik, Python, R and more
  • Introduction to Python part 1:
    • Numbers and calculations in Python
    • Variables
    • Reading and understanding error messages
    • Text in Python

3
Day 3: Introduction to Python Part 2
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Introduction to Python Part 2

Objectives: Using standard data types in the Python programming language and their native methods in the correct situations; Using flow control concepts

Content:

  • Using functions in Python
  • The Boolean data type
  • If-then conditions

4
Day 4: Introduction to Python Part 2
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Introduction to Python Part 2

Objectives: Using standard data types in the Python programming language and their native methods in the correct situations; Using flow control concepts

Content:

  • Using functions in Python
  • The Boolean data type
  • If-then conditions

5
Day 5: Introduction to Python Part 2
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Goals:

  • Use of flow control concepts

Contents:

  • The for loop
  • The range function
  • Combining loops and conditions
FAQ

The demand for data experts is high. Around 4 million data experts will be needed in Europe by 2025. In Germany alone, 149,000 IT jobs are currently vacant. The demand for data and AI experts in particular continues to grow enormously.

But a decision for a data career is so much more than just a safe decision for the future! As a data expert, you deal with powerful, socially relevant topics, are a tech professional, and are communicative and creative at the same time. The profession is varied, can be combined with most other professions and offers an attractive salary. And most importantly, with us it can be learned unerringly!

Yes, after successful completion of the training, you will receive a certificate of completion from us that you can show in your job applications. Data Analysts and Data Scientists are desperately sought after in many business sectors. Even without relevant work experience, your chances of finding an entry-level job are good. In addition, there are analysts in almost every industry who have different job titles, but the skills you need are the same as those of a data analyst or data scientist.
Yes, our online training courses are designed to offer you the greatest possible flexibility. In general, we recommend that you plan six to eight hours per week for learning. 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 live webinars where you can ask our mentors questions, but you don't have to attend if it doesn't fit into your schedule.
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The StackFuel Data Lab offers me real added value. Here you can feel the practical relevance particularly well. The tasks were always clearly described and presented. So I always knew what I had to do. The course itself was a great experience!
Alexander Gross
Data Analyst at AIC Portaltechnik
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The greatest added value for me is the practical relevance. Thanks to StackFuel, I can quickly implement what I've learned and adapt it for myself. That is the real learning success behind the online courses.
Lutz Schneider
Strategic IT Buyer at Axel Springer SE
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The content of StackFuel's online course was very practical. There were plenty of good examples and projects. I found that very interesting and educational. Since the course, my day-to-day professional life has changed significantly: I am now a data analytics specialist in my department.
Jaroslaw Wojciech Sulak
Specialist for data analysis at IAV GmbH
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The user-friendly and flexible Python programming course has 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 learning content in the development environment, I can now implement the new things I've learned in my day-to-day work in test automation in more detail and process data more easily and efficiently than before.
Jenny Lindenau
Technical Manager Test Management at Bank Deutsches Kraftfahrzeuggewerbe GmbH
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Our consultants will be happy to help you and answer all your questions. Free of charge and without obligation. We look forward to meeting you.
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