1. Programming Basics and Data Setup (Week 1)
- •Python fundamentals for data work
- •R basics for analysis tasks
- •Anaconda setup and Jupyter Notebook workflow
- •Using notebooks to run and organize practice code
6840+ Job Posting Available
-Recruiters prefer to hire Inventateq Students - Join Inventateq NowPlacements in Data Science: 1,342
Data Science Training in Berlin with Certification
Join Inventateq's data science course in Berlin and learn the practical workflow behind Python, R, SQL, Pandas, NumPy, Scikit-learn, TensorFlow, Keras, PyTorch, Tableau, Power BI, Git, Docker, and cloud tools used in real projects. You will build job-ready analytics and machine learning skills through classroom or live online training.
4.7/5 from 1,432 reviews
Learn data science in Berlin with Python, R, SQL, and hands-on notebook practice.
Work with Pandas, NumPy, Scikit-learn, TensorFlow, Keras, and PyTorch.
Practice reporting and dashboards with Tableau, Power BI, and Excel.
Get project-based training with assignments, certification, and resume preparation.
Prepare for roles like Data Analyst, Data Scientist, and Machine Learning Engineer.
Job Interview
Guarantee Program
14,200+ (Placed)
Freshers to IT
7,100+ (Placed)
Non-IT to Tech
5,800+ (Placed)
Career Gap Fillers
6,400+ (Placed)
Upskilling Success
24,999₹
In 90 Days + Placement
Course Fee:₹24,999
Duration:60 Days
Mode:Classroom & Online
Free Session
1 Hour Training Session
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Placement Record
How We Have Placed 10,000+ Students ?
5 LPA
Sukumar Roy
5 LPA • Data Scientist
8 LPA
Jagjith Rathode
8 LPA • Machine Learning Engineer
4 LPA
Lipika Shah
4 LPA • AI Engineer
4 LPA
Kutumb Sharma
4 LPA • Associate Product Manager
5.55 LPA
Sima
5.55 LPA • Data Scientist
7.5 LPA
Jyoti
7.5 LPA • Data Engineer
8 LPA
Aqib
8 LPA • Data Engineer
10 LPA
Muskan
10 LPA • Machine Learning Engineer
5.7 LPA
Aliya
5.7 LPA • ML Engineer
7 LPA
Sai Krishna
7 LPA • MLOps Engineer
7 LPA
Rafiya
7 LPA • Data Scientist
Placement Assistance for Data Science Professionals in Berlin
Learning data science is only one part of the job search. Inventateq helps you turn classroom skills into interview-ready experience with support on resumes, projects, and role-specific preparation for Berlin's data and analytics market.
Our Signature Career Support:
- Resume preparation aligned to Data Analyst, Data Scientist, and BI roles.
- Project discussion support so you can explain Python, SQL, and dashboard work clearly.
- Mock interview practice for analytics, machine learning, and reporting questions.
- Guidance on portfolio presentation using notebooks, dashboards, and GitHub.
- Placement support and follow-up for job applications and interview readiness.
Data Science Salary Insights in Berlin
Berlin hires for analytics, business intelligence, machine learning, and data engineering across IT, product, consulting, finance, and operations teams. Salaries move up steadily as you move from reporting work to model building, deployment, and team leadership.
Data Science Average Salary by Experience
Data Science Salary Insights in Berlin
Berlin hires for analytics, business intelligence, machine learning, and data engineering across IT, product, consulting, finance, and operations teams. Salaries move up steadily as you move from reporting work to model building, deployment, and team leadership.
Data Science Average Salary by Experience
Why Students Choose Our Data Science Course in Berlin?
4.7/5 Google Rating | 1,432+ Verified Reviews
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Success Result: Our students are competing at global levels. Watch their placement journey here.
Bigdata Hadoop Placement Success Stories
Data Engineering @ Accenture - 12 LPA
Student Honest Reviews for Tally Course
Junior Accountant @ Fortis - 8 LPA
What Students Say About Our SQL Course
SQL Developer @ Wipro - 10 LPA
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Salesforce Administrator @ Deloitte - 15 LPA
How Our RPA Course Helped Students Build Their Careers
RPA Developer @ IBM - 20 LPA
Learning to Getting Hired – Tableau Student Reviews
Tableau Developer @ Genpact - 20 LPA
Real Student Reviews for HR Course
Talent Acquisition Executive @ Tech Mahindra - 12 LPA
Authentic Student Experiences on our Anjular Js Course
Angular Developer @ Capgemini - 15 LPA
Honest Student Reviews for Data Science Course
Data Analyst @ Amazon - 25 LPA
What Students Say About the Java Course
Java Developer @ Oracle - 25 LPA
Student Video Review for CATIA Course
CATIA Design Engineer @ TATA Motors - 20 LPA
Authentic Student Reviews for AWS Course
AWS Solutions Architect @ Accenture - 25 LPA
Honest Opinions from Python Course Students
Python Developer @ Mphasis - 15 LPA
Real Student Reviews for Software Testing
QA Engineer @ HCLTech - 15 LPA
Devops Course Reviews & Placement Experiences
Cloud DevOps Engineer @ LTIMindtree - 18 LPA
Digital Marketing Course Success Stories | Student Reviews
Digital Marketer @ Google - 20 LPA
Inventateq Classroom Tour
BTM Layout @ Inventateq - -
Students Who Took the First Step
Genuine Reviews @ Inventateq - 25 LPA - 50LPA
Bigdata Hadoop Placement Success Stories
Data Engineering @ Accenture - 12 LPA
Student Honest Reviews for Tally Course
Junior Accountant @ Fortis - 8 LPA
What Students Say About Our SQL Course
SQL Developer @ Wipro - 10 LPA
Genuine Student Feedback on Our SalesForce Course
Salesforce Administrator @ Deloitte - 15 LPA
How Our RPA Course Helped Students Build Their Careers
RPA Developer @ IBM - 20 LPA
Learning to Getting Hired – Tableau Student Reviews
Tableau Developer @ Genpact - 20 LPA
Real Student Reviews for HR Course
Talent Acquisition Executive @ Tech Mahindra - 12 LPA
Authentic Student Experiences on our Anjular Js Course
Angular Developer @ Capgemini - 15 LPA
Honest Student Reviews for Data Science Course
Data Analyst @ Amazon - 25 LPA
What Students Say About the Java Course
Java Developer @ Oracle - 25 LPA
Student Video Review for CATIA Course
CATIA Design Engineer @ TATA Motors - 20 LPA
Authentic Student Reviews for AWS Course
AWS Solutions Architect @ Accenture - 25 LPA
Honest Opinions from Python Course Students
Python Developer @ Mphasis - 15 LPA
Real Student Reviews for Software Testing
QA Engineer @ HCLTech - 15 LPA
Devops Course Reviews & Placement Experiences
Cloud DevOps Engineer @ LTIMindtree - 18 LPA
Digital Marketing Course Success Stories | Student Reviews
Digital Marketer @ Google - 20 LPA
Inventateq Classroom Tour
BTM Layout @ Inventateq - -
Students Who Took the First Step
Genuine Reviews @ Inventateq - 25 LPA - 50LPA
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About Inventateq Data Science Training Institute in Berlin
Inventateq teaches data science in a practical sequence: Python, R, SQL, data handling, machine learning, deep learning, visualization, and deployment-focused workflow. The training is built around real tools and clear practice, so learners understand how to move from raw data to analysis, models, dashboards, and project presentation.
We stand apart through our commitment to:
- Learn Python, SQL, Pandas, NumPy, and notebook-based data work step by step.
- Practice machine learning with Scikit-learn, TensorFlow, Keras, and PyTorch.
- Build dashboards and reporting skills with Tableau, Power BI, and Excel.
- Get mentor support while working through assignments, projects, and interview prep.
- Choose classroom batches or live online sessions that fit your schedule.
Live Online
Remote Learning
AI Online Live Classes
Live online data science training from Berlin follows the same practical format with real-time mentor interaction. You can attend from home, ask questions during class, and complete assignments and projects without losing the pace of the program.
Live interactive classes with practical coding demonstrations
Recorded sessions available for revision and practice
Weekly assignments with mentor feedback and guidance
Real projects covering Generative AI, LLMs, and Agentic AI
Online career guidance and interview preparation support
Data Science Training Program
Fresh graduates
Good for students who want a practical start in analytics, reporting, and machine learning.
Working professionals
Useful for IT, support, operations, and finance professionals shifting into data roles.
Non-technical learners
Suitable if you are comfortable learning step by step from Python and SQL basics.
Analytics aspirants
Best for learners aiming at Data Analyst, BI, or Junior Data Scientist roles.
Career changers in Berlin
Helps candidates in Berlin build job-ready skills for local data teams.
Quick Highlights of Inventateq Data Science Course in Berlin
Course Duration
Mode: Classroom training and live online training are both available.
Learning style: Theory, practicals, assignments, and certification are part of the process.
Batch options: Weekday batches and weekend batches are available.
Support level: Mentor guidance continues through projects and interview preparation.
No prior job experience is needed to start this data science course in Berlin.
Data Science Curriculum
W1
2. Data Handling and Core Libraries (Week 2)
- •Working with Pandas for data frames
- •Using NumPy for numeric operations
- •Loading, cleaning, and preparing datasets
- •Handling common data manipulation tasks
3. SQL and Database Access (Week 3)
- •SQL query writing for analysis
- •MySQL and PostgreSQL usage
- •Working with MongoDB concepts
- •Pulling data from structured sources
4. Statistics and Data Analysis (Week 4)
- •Understanding data patterns and summaries
- •Applying basic statistical thinking
- •Comparing datasets for insights
- •Preparing data for modeling
5. Machine Learning Foundations (Week 5)
- •Scikit-learn model building
- •Classification and regression practice
- •Feature understanding and model evaluation
- •Working through supervised learning basics
6. Advanced Machine Learning and Deep Learning (Week 6)
- •Using TensorFlow for model training
- •Building networks with Keras
- •Deep learning workflows with PyTorch
- •Understanding when to use each framework
7. Data Visualization and Reporting (Week 7)
- •Building charts and dashboards in Tableau
- •Using Power BI for business reporting
- •Working with Excel for quick analysis
- •Presenting insights in a simple business format
8. Big Data Tools and Workflow (Week 8)
- •Introduction to Apache Spark
- •Introduction to Apache Hadoop
- •Understanding large-scale data processing
- •Where big data tools fit in data projects
9. Version Control and Collaboration (Week 9)
- •Using Git for version tracking
- •Using GitHub for project sharing
- •Managing code changes in a team workflow
- •Keeping project files organized
10. Deployment and Cloud Exposure (Week 10)
- •Docker basics for packaging work
- •AWS SageMaker overview
- •Google Cloud Vertex AI overview
- •Understanding model and workflow deployment
Rated 4.9/5
Why Inventateq for Data Science Training in Berlin?
Inventateq keeps the training focused on what you need to do in a real data role: clean data, analyze it, build models, and present results. The course stays practical from the first Python exercise to the final project review, with mentor help throughout.
Why Students Trust Inventateq Berlin
- Trainers explain data science concepts in a practical, easy-to-follow way.
- The curriculum covers the tools used in real analytics and ML work.
- Students get help with assignments, project tasks, and interview preparation.
- The learning environment is structured for doubt clearing and steady progress.
- The course is built to support both beginners and career switchers.
Build Practical Data Science Skills for Real Careers
By the end of the course, learners can work with data, build models, and explain results with confidence. The training emphasizes practice, so you leave with useful project experience and tool familiarity.
Work with Real Data Tools
You learn Python, R, SQL, Pandas, NumPy, and notebook-based workflows that are used in day-to-day data tasks.
Build Machine Learning Projects
You practice model building with Scikit-learn and get exposure to TensorFlow, Keras, and PyTorch for deeper learning tasks.
Create Clear Business Reports
You use Tableau, Power BI, and Excel to turn raw data into simple dashboards and reports.
Understand Data Pipelines
You get an overview of Spark, Hadoop, and database usage so you can see how larger data systems work.
Show Recruiters Your Work
Assignments and projects are organized so you can discuss your skills in interviews and portfolio reviews.
Prepare for Multiple Roles
The course supports paths into data analysis, BI, machine learning, and data science roles in Berlin.
Certification for Data Science Training
The certification validates that you have completed practical training in data science tools, analysis methods, machine learning, and reporting. It helps show employers that you have trained on industry-used software and can discuss project work clearly.
Python, R, SQL, and Jupyter Notebook
Earn this certificate upon successful completion of our training program.
Pandas, NumPy, and Scikit-learn
Validate your skills with recognized industry credentials.
Tableau, Power BI, and Excel
Earn this certificate upon successful completion of our training program.
Git, GitHub, Docker, and cloud workflow basics
Validate your skills with recognized industry credentials.
Detailed Insights: Data Science Training in Berlin
Students Frequently Asked Questions
Is this data science course in Berlin beginner-friendly?
Yes. The training starts with programming and data basics before moving into machine learning and visualization. That makes it suitable for learners who are new to the field but willing to practice regularly.
Will I get hands-on project practice?
Yes. The course includes practical work with Python, SQL, Pandas, Scikit-learn, Tableau, Power BI, and cloud exposure. You will work through assignments and project-style exercises, not just theory.
Does Inventateq provide placement assistance for data science roles?
Yes. Placement support includes resume preparation, interview practice, and guidance on presenting projects. The support is aligned to roles like Data Analyst, BI Analyst, and Data Scientist.
Can non-technical students join this program?
Yes, if you are ready to learn step by step and practice regularly. The course is designed to build from fundamentals into applied data science. Mentors help you connect the tools and concepts in a practical way.
Is live online training available from Berlin?
Yes. You can attend live online classes from Berlin and still get real-time mentor interaction. The online format follows the same practical curriculum as the classroom batch.
How long does the course take and what is the training mode?
The page supports classroom training, live online training, and corporate training formats. Batch options include weekday and weekend schedules, so learners can choose a pace that fits their routine.
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