If you like numbers and organizing them, then this is the right program for you
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Full Program Outline:
  • DURATION: 12 weeks, 480h in total
  • FORMAT: online/remote
  • COURSE START: 25.04.2022
  • MENTORING: full time
  • PRICE:  € 8.400,00
Fast Track Program Outline:
  • DURATION: 4 weeks, 160h in total
  • FORMAT: online/remote
  • COURSE START: 04.07.2022
  • MENTORING: full time
  • PRICE:  € 2.800,00

DLC3-Data Engineer
(12 Weeks-Full Time, online/remote)

Do you love to work with data, no matter with the size? Then this program is the right one for you. As a data engineer, you can learn the necessary skills (e.g. ways, apps, how to improve the quality of the data for more intelligent solutions) easily and quickly and find a job in the market. Yes, there is still a big need for data engineers. The AI vendors understood that the best algorithm will not help if their big data is a mess

This program contains the most wanted skills which you will need  to become a Data Engineer


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If you are driven by social-justice, are curious, and have common sense, you are the right candidate.

All women, with or without technical background; who have an interest in stepping into the wonderful world of tech jobs. Learning to code is the first step to this world and with this course, you will have a powerful introduction to Python which is an easy and high demand coding language.


For Data Engineer Program ( 12 Weeks)
If you joined our DLC1- Prep for AI-Jobs and DLC2-Data Analyst programs, you are qualified to join this program
For Fast Track Data Engineer Program
(4 Weeks)
If want to jump in now and learn Data Engineering skills with us, you need to have skills in the following subjects to be qualified for DLC3-Data Engineer Program;
  • Python
  • Maths & Stats
  • Github
  • Cloud Computing
  • Big Data
    • Relational Database
    • SQL / NoSQL
    • Querying, jQuery, Matlab
    • MS Excel / Power BI
    • Tableau
    • Dashboarding
    • Data Visualisation
    • Data Warehousing


     The Data Engineer is usually an organizer. Main tasks are  to organise the collection, processing, and storing of data from different sources. To perform this tasks, data engineers need an in-depth knowledge of relational databases, SQL and other database solutions such as Cassandra and Bigtable.

    Domains? Due to the vast nature of the job Data Engineers can work in many industries, including business, finance, criminal justice, science, medicine, and government.

    Salary? Data Engineer has become one of the most high-in-demand jobs around the world which significantly leads to a higher salary compared to other software related professionals.

    The main objective of data science entails getting data for analysis to produce meaningful and useful insights. The results obtained can be further applied to provide value for machine learning, data stream analysis, business intelligence, or any other type of analytics.

    Data science and data scientists in particular are particularly concerned with exploring data, finding insights in it, and building machine learning algorithms but data engineers take pride in making these algorithms work on a production infrastructure and creating data pipelines. Basically, the role of data  engineer within a data science team or any data related project is to create and manage  technological infrastructure of a data platform.


    You have two learning paths:
    • Starting from stracht- joining in our DLC1- Prep for AI-Jobs and following with DLC2- Data Analyst
    • If you have the prerequisites you can start with Week5- Introduction to Data Analyst

    DLC1- Prep for AI-Jobs

  • Introduction to AI
  • Maths & Calculus
  • Statistics for Data Science

  • Week-2
  • Operating Systems
  • Big Data Management
  • Cloud Computing
  • Working with Github

  • Week-3
    • Python for Data Science
    • Python for Data Science

    DLC2- Data Analyst

  • Introduction to Data Analytics
  • Relational Database
  • SQL / NoSQL
  • Querying, jQuery,
  • Matlab

  • Week-6
  • MS Excel
  • Power BI
  • Tableau

  • Week-7
  • Dashboarding
  • Data Visualisation

  • Week-8
  • Data Warehousing
  • Project Reviews
  • Program Closure

  • DLC3- Data Engineer- Fast Track Program

  • Spark
  • Java
  • Hadoop
  • Hive
  • Scala

  • Week-10
    • DevOPS
  • Redshift
  • Azure
  • Apache

  • Week-12
  • Machine Learning
  • Project Reviews
  • Program Closure


    DLC3-Data Engineer


    Full Program: 25.04.2022
    Fast Track Program: 04.07.2022


    Full Program: 13.06.2022
    Fast Track Program: 22.08.2022


    Full Program: 01.08.2022
    Fast Track Program: 10.10.2022


    Full Program: 19.09.2022
    Fast Track Program: 28.11.2022
    We designed the learning programs so that you can learn skills needed for other data /ai-jobs based on the previous one.

    You can start your Data Science Program at the end of this program.

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    We do everything online/ remote. But with the quality of an onsite class, and even in a better way which combines the advantages of onsite and online learning.

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    We have many ways to make your learning journey an effective, efficient and joyful one:
    Daily Live Learning Sessions
    • We have daily instructor led sessions
    • It starts at 08:30 am and ends at 16:30 pm
    • You will have 4 hours knowledge acquisition  and 4 hours practice sessions
    • You will have 90 min block lessons and sufficient breaks
    • We will record and share the replays only in exceptional cases- e.g. if you are excused for the live session participation
    Ongoing mentoring support
    • We know that you might face some difficulties while learning AI-Skills. Therefore we designed the programs in a way that you can get mentoring support around the clock, from our teaching mentors and also from your peers.
    • You can get mentoring support in German or in English
    • You can post your question or concern on our online collaboration platform at any time of the day. You will get response within hours
    Projects to practice
    • Depending on your level of competence and other preferences we provide you projects where you can apply what you learn
    • At the end of the program, you will have at least 2 project works on your portfolio
    Quizzes and Assignments
    • The best way to test if we acquired sufficient knowledge is to have quizzes
    • To practice what we learned is the assignments
    AI-Jobs and Career Support
    • As we have access to many AI-employers who are in search of female talents, we do our best to provide you with those  the opportunities
    AI-Women Community
    • We know that women need help from each other. We network and cooperate with other organisations, communities around the world whom you can get access too


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