1. Programming Foundations and Python Basics (Week 1)
- •Introduction to Python for data science
- •Working in Jupyter Notebook and Anaconda
- •Core programming flow for analysis tasks
- •Getting started with data handling in a notebook environment
6840+ Job Posting Available
-Recruiters prefer to hire Inventateq Students - Join Inventateq NowPlacements in Data Science: 1,342
Data Science Certification Course in Stuttgart
Join Inventateq’s data science training in Stuttgart and learn to work with Python, R, SQL, Jupyter Notebook, Pandas, NumPy, Scikit-learn, TensorFlow, Keras, PyTorch, Tableau, Power BI, Apache Spark, Hadoop, Git, Docker, AWS SageMaker, Google Cloud Vertex AI, and Snowflake. You will build a practical data science foundation from analysis to machine learning, with a certification path that matches the tools used in the course.
4.7/5 from 1,432 reviews
Learn Python, R, SQL, and Jupyter Notebook from the first class
Work with Pandas, NumPy, Scikit-learn, TensorFlow, Keras, and PyTorch
Practice data visualization in Tableau, Power BI, and Excel
Cover big data and cloud tools like Spark, Hadoop, Docker, AWS SageMaker, and Vertex AI
Get certification support, resume preparation, and interview guidance
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
Get Job with our Guaranteed Placement Support Program
WhatsApp Us!
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 Stuttgart
Learning data science is only useful when you can convert it into interview-ready skills. Inventateq focuses on job roles that match the course content, so students can move toward data analyst, data scientist, BI, and machine learning roles with clear preparation.
Our Signature Career Support:
- Resume preparation for data science, analytics, and BI roles
- Mock interviews based on Python, SQL, ML, and visualization tools
- Portfolio and project presentation support for real interview discussions
- Career guidance for roles like Junior Data Analyst, Data Scientist, and BI Developer
- Placement support oriented toward entry-level and experienced candidates in Stuttgart
Data Science Salary Insights in Stuttgart
Stuttgart has demand for data science skills across analytics, manufacturing, engineering, finance, and technology-driven business teams. Pay grows with hands-on experience in Python, SQL, machine learning, dashboards, and cloud-based data tools.
Data Science Average Salary by Experience
Data Science Salary Insights in Stuttgart
Stuttgart has demand for data science skills across analytics, manufacturing, engineering, finance, and technology-driven business teams. Pay grows with hands-on experience in Python, SQL, machine learning, dashboards, and cloud-based data tools.
Data Science Average Salary by Experience
Why Students Choose Our Data Science Course in Stuttgart?
4.7/5 Google Rating | 1,432+ Verified Reviews
4.7 / 5
By Google Reviews
Jd
4.7 / 5
By Justdial
S
4.7 / 5
By Sulekha Courses
4.7 / 5
By Course Suggest
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
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
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
0.0
GOOGLE RATING
0k+
REVIEWS
4.7/5 · 1,432+ Verified Reviews
About Inventateq Data Science Training Institute in Stuttgart
Inventateq teaches data science in a practical sequence: Python, R, SQL, data handling, machine learning, visualization, and deployment-oriented tools. The course is built around hands-on work with the same libraries and platforms used in real data science roles, so students understand both the concepts and the workflow.
We stand apart through our commitment to:
- Learn to clean, analyze, and model data with Python, Pandas, NumPy, and SQL
- Build machine learning workflows with Scikit-learn, TensorFlow, Keras, and PyTorch
- Create dashboards and reports using Tableau, Power BI, and Excel
- Get mentor guidance through assignments, projects, and interview preparation
- Choose weekday, weekend, classroom, or online training based on your schedule
Live Online
Remote Learning
AI Online Live Classes
Live online data science training from Stuttgart follows the same practical structure as the classroom batch. You join trainer-led sessions, complete hands-on assignments, and can attend from home while still getting doubt-clearing support.
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 entry into analytics, BI, or data science roles.
Working professionals
Useful for professionals who want to move into Python, SQL, reporting, or machine learning work.
Non-programmers with interest in data
Suitable for learners who can start from basics and build up to real tools step by step.
Engineering and commerce students
Fits learners from technical and non-technical backgrounds who want job-oriented skills.
Career switchers
Helps people who want a structured path into data analyst and data scientist roles.
Quick Highlights of Inventateq Data Science Course
Course Duration
Mode: Classroom and live online training available
Batch options: Weekday and weekend batches
Learning style: Trainer-led practical sessions with assignments
Support: Doubt clearing and guided project work
No prior job experience is needed to start. You can join from a beginner level and build up step by step.
Data Science Certification Course Curriculum in Stuttgart
W1
2. Data Analysis with Pandas and NumPy (Week 2)
- •Using Pandas for tabular data work
- •Using NumPy for numeric operations
- •Cleaning and preparing datasets
- •Performing basic analysis on structured data
3. SQL and Database Querying (Week 3)
- •Writing SQL queries for data extraction
- •Working with MySQL and PostgreSQL
- •Using SQL to filter, join, and summarize data
- •Understanding how databases support analytics work
4. Data Visualization and Reporting (Week 4)
- •Building charts and reports in Tableau
- •Creating dashboards in Power BI
- •Using Excel for analysis and presentation
- •Turning data findings into readable business output
5. Statistics and Analytical Thinking (Week 5)
- •Understanding statistical ideas used in data science
- •Interpreting data patterns and variations
- •Applying analysis before model building
- •Using structured thinking to frame business questions
6. Machine Learning with Scikit-learn (Week 6)
- •Introduction to machine learning workflows
- •Training models with Scikit-learn
- •Working through supervised learning concepts
- •Evaluating model performance for practical use
7. Deep Learning with TensorFlow and Keras (Week 7)
- •Neural network basics for modern modeling
- •Building models with TensorFlow
- •Using Keras for simpler deep learning workflows
- •Understanding how deep learning fits into data science
8. Advanced Modeling with PyTorch (Week 8)
- •Working with PyTorch for model development
- •Comparing deep learning approaches
- •Practicing training and evaluation steps
- •Understanding when different frameworks are used
9. Big Data Tools and Processing (Week 9)
- •Introduction to Apache Spark
- •Overview of Hadoop in large-scale data processing
- •Understanding how big data tools support analytics
- •Working with larger datasets at a higher level
10. Version Control and Collaboration (Week 10)
- •Using Git for version control
- •Using GitHub for project tracking and sharing
- •Managing code changes in a team workflow
- •Preparing work in a format employers can review
11. Cloud and Deployment Readiness (Week 11)
- •Introduction to AWS SageMaker
- •Introduction to Google Cloud Vertex AI
- •Understanding cloud-based model workflows
- •Getting a deployment-oriented view of data science
12. Capstone Project and Interview Preparation (Week 12)
- •Bringing the learned tools together in a project
- •Practicing full workflow execution from data to outcome
- •Preparing for certification and interview discussion
- •Reviewing the tools and skills used across the course
Rated 4.9/5
Why Inventateq for Data Science Training in Stuttgart?
Inventateq keeps the training practical, job-focused, and structured around the tools that matter in data science. Students learn by doing, with guided practice in Python, SQL, machine learning, visualization, big data tools, and cloud workflows.
Why Students Trust Inventateq Stuttgart
- Trainers explain concepts clearly and keep the sessions practical
- The syllabus follows a logical path from basics to advanced tools
- Students get a supportive environment for questions and revision
- Projects and assignments are used to build confidence step by step
- Placement guidance is built into the training process, not treated as an extra
Build Practical Data Science Skills for Real Career Moves
By the end of the course, learners have worked with the tools, methods, and workflows used in entry-level and mid-level data science jobs. The focus is on practical application, not just theory.
Work with Real Data Tools
You will learn Python, R, SQL, Pandas, NumPy, and the main notebook-based workflow used in data science work.
Build ML and Deep Learning Projects
You will practice model building with Scikit-learn, TensorFlow, Keras, and PyTorch across guided assignments.
Create Business Dashboards
You will use Tableau, Power BI, and Excel to present data in a way that business teams can use.
Understand Big Data Workflows
You will get an introduction to Spark and Hadoop so you can understand how larger datasets are handled.
Prepare for Job Discussions
You will learn how to explain your projects, tools, and outcomes in interview conversations.
Move Toward Certification and Placement
The course is designed to support certification readiness, resume preparation, and next-step career applications.
Certification for Data Science Training
This certification shows that you have completed practical training in the main data science tools and workflows covered in the course. It helps employers see that you have hands-on exposure to analytics, machine learning, visualization, and deployment-aware tools.
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.
TensorFlow, Keras, and PyTorch
Earn this certificate upon successful completion of our training program.
Tableau, Power BI, and Excel
Validate your skills with recognized industry credentials.
Detailed Insights: Data Science Training in Stuttgart
Students Frequently Asked Questions
Is this data science course in Stuttgart suitable for beginners?
Yes, it is suitable for beginners who want a structured start in data science. The course begins with Python, SQL, and data analysis basics before moving to machine learning and visualization tools. You do not need prior job experience to join.
Will I work on hands-on projects during the training?
Yes, the course is practical and assignment-driven. You will work with notebooks, data preparation tasks, machine learning exercises, dashboards, and a capstone-style project. The idea is to help you explain your work clearly in interviews.
Does Inventateq provide placement assistance after the course?
Yes, placement support is included as part of the training path. It covers resume preparation, mock interviews, project presentation guidance, and role-focused career support. The goal is to help you move toward data analyst, BI, and data scientist roles.
Can non-technical students join this data science training in Stuttgart?
Yes, non-technical learners can join if they are ready to learn step by step. The course builds from the basics and explains core tools in a practical way. With regular practice and mentor support, many learners from different backgrounds can progress well.
Is online training available for students in Stuttgart?
Yes, live online training is available for learners in Stuttgart. The online format follows the same practical syllabus and includes trainer-led sessions, assignments, and doubt clearing. It is a good option if you want flexibility without losing structure.
How long does the data science course take?
The course length depends on the batch format and learning pace, but the curriculum is designed in a step-by-step sequence. You move from core tools to machine learning, big data exposure, and project work in a logical order. Batch options are available in weekday and weekend formats.
Explore more
Other Training Locations
Browse the same course in nearby cities and training hubs.
Data science training courses sydneyData science training courses torontoData science training courses berlinData science training courses frankfurtData science certification courses munichData science training course ahmedabadBest Data Science Course in Bangalore with PlacementBest Data Science Course in BTM Layout with PlacementIndia's Best Data Science Training with PlacementBest Data Science Course in Marathahalli with PlacementIndia's Best Data Science Training with PlacementData science training courses bhubaneswarData science training courses chennaiData science training courses delhiData science training courses gurgaonNo.1 Data Science Training Institute in HyderabadData science certification training jaipurData science training courses kochiData science training course kolkataData science training courses mumbaiData science training courses noidaData science training courses puneData science certification courses in suratData science training institutes vijayawada amaravatiData science certification courses singaporeData science certification training abu dhabiData science training courses dubaiData science certification training courses londonData science training courses los angelesData science training courses san franciscoData science certification courses san joseData science certification courses santa claraData science certification courses floridaData science training courses chicagoData science training courses new yorkData science training courses texasData science training courses irvingData science training courses virginiaData science training courses ashburn
Join Inventateq Career Guidance Program.
Launch your fastest career with Inventateq! Our program equips you with in-demand skills to unlock insights from big data and land your dream job. Join us and become a career hero!