Data Analytics is trending as a global phenomenon in the technological revolution bringing about unprecedented intervention and innovation assisting vast sectors and industries to deal with large volumes of data sets and their systematic collection, derivation, and transformation to contribute to solving complex sets of structural problems and devising compact decision-making maintaining data accuracy in the process. It is the assistance of data analytics and its tools and techniques that has led to a massive innovational and transformational shift in how data is being monitored, processed, and utilized to mitigate various global challenges, how such data is working in the digital domain bringing forth a whole new research methodology and giving actionable information based on which industries and organizations are enhancing their core operations and helping them prepare better to face market competition. Hence, the data analytics courses in Switzerland have come up with data science and big data analytics study programs to educate professionals on data analysis.
In this article, we will have a detailed overview of the data analytics courses in Switzerland, their program structure, their core modules, the fee structure, and job prospects.
Data Analytics and Its Various Tools
Data Analytics, as the name goes, delves into the entire analysis and processing of large volumes of data which lies in abundance and is freely available to all sectors and organizations working in this era of data-driven structures.
Getting access to such a large volume of data brings out challenges and responsibilities of the organizations to accurately process them to make necessary impact and policy changes to cater to market competition.
It is the entire process of collecting, combining, and examining large datasets, to be able to find out the patterns and trends in data behavior for future prediction and developing efficient data models to cater to business intelligence. Data Analytics involves the working of some of the core data analytical tools like:
- PYTHON: Python is one of the most significant data analytical tools. It is a high-level, object-oriented programming language used in web development, software applications, and Machine Learning supporting other functional programming and metaprogramming and uses dynamic typing and reference counting mechanism and no-syntax feature.
- R PROGRAMMING: R is a programming language in R software which is open-sourced software used in data visualization techniques and statistical analysis. It consists of large extension packages, and codes and consists of R packages of data and documentation.
- TABLEAU: Tableau is data visualization software that mainly focuses on business intelligence. It allows anyone to explore and examine data in the form of infographics like charts, graphs, and dashboards. It allows data blending and joining, clustering in its easy-to-use interface. It works on regression analytics techniques.
- MICROSOFT POWER BI: Microsoft Power BI is a part of the Microsoft Power platform incorporating a set of software services, and connectors working on data visualization and transforming raw data into interactive form and is a powerful BI tool to share data insights and models.
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Below is the List of the Top 10 Data Analytics Courses in Switzerland
1. IIM SKILLS :
IIM Skills is a leading online educational platform with premier learning modules and trusted certification courses gaining high prominence in the industry. It incorporates a comprehensive curriculum to impart knowledge on the fundamentals of data analytics led by top expert faculty and has tie-ups with the majority of brands making it one of the best data analytics courses in Switzerland.

It is a 6-month duration course of 180 hours of learning sessions in weekend batches flexible for working professionals along with a 2-month internship program with companies like TCS, PWC, Accenture, etc.
IIM Skills provides specialized master certification in Data Analytics which is recognized by 500+ hiring companies serving as a great opportunity for professionals and students to pursue careers in data analysis and data science. The course includes practical experience in data analytical tools like:

- IT professionals
- Banking and Financial services and industry
- Undergraduate/ Post graduates
- Marketing Managers
The Data Analytics Course Includes:
Module Name | Important Topic |
Module 1: Basic and Advance Excel
| Introduction to Data Handling |
Data Manipulation Using Functions | |
Data Analysis and Reporting | |
Data Visualization in Excel | |
Overview of Dashboards | |
Module 2: Visual Basic Application
| Introducing VBA |
How VBA Works with Excel | |
Key Components of Programming Language | |
Programming Constructs in VBA | |
Functions & Procedures in VBA | |
Objects & Memory Management in VBA | |
Error Handling | |
Controlling Accessibility of Your Code | |
Communicating with Your Users | |
Module 3: SQL
| Basics RDBMS Concepts |
Utilizing the Object Explorer | |
Data Based Objects Creation (DDL Commands) | |
Data Manipulation (DML Commands) | |
Accessing Data from Multiple Tables Using SELECT | |
Optimizing Your Work | |
Module 3.1: SQL Server Reporting Services
| Basics of SSRS |
Creating Parameters | |
Understanding Visualization | |
Creating Visualization Using SSRS | |
Module 3.2: SQL Server Integration Services
| Understanding Basics of SSIS |
Understanding Packages | |
Creating Packages to Integrate | |
Creating Project Using SSIS | |
Module 4: Power BI
| Introduction |
Data Preparation and Modeling | |
Data Analysis Expressions (DAX) | |
Reports Development (Visuals in Power BI) | |
Module 5: Data Analytics Using Python
| Introduction to Basic Statistics |
Introduction to Mathematical Foundations | |
Introduction to Analytics & Data Science | |
Python Essentials (Core) | |
Operations with NumPy (Numerical Python) | |
Overview of Pandas | |
Cleansing Data with Python | |
Data Analysis Using Python | |
Data Visualization with Python | |
Statistical Methods & Hypothesis Testing | |
Module 6: Tableau
| Getting Started |
Data Handling & Summaries | |
Reports Development (Visuals in Tableau) | |
Module 7: R For Data Science
| Data Importing/Exporting |
Data Manipulation | |
Data Analysis | |
Using R with Databases | |
Data Visualization with R | |
Introduction to Statistics | |
Linear Regression: Solving Regression Problems | |
Module 8: Alteryx
| Overview of the Alteryx Course and Fundamental Concepts |
Using the Select Tool to Rename Fields, Change the Data Type | |
Understanding the User Environment and Alteryx Settings | |
Filtering Data/Data Processing | |
Blending/Joining Data from Different Sources | |
Data Cleansing | |
Impute Values | |
Random Sample |
Batch details: Every weekend – 10 am to 1 pm
Course Fee: 545.12 Swiss Franc + GST
Contact info: 91-9580740740

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2. SWISS BUSINESS AND MANAGEMENT SCHOOL SSBM :
Swiss School of Business and Management is a top global school of studies located in Geneva, Switzerland providing world-class learning and professional certification courses on various specializations of business and management.
It is offering a certified data and business analytics professional course providing a master class on various tools and techniques of data analysis, and interpretation of data in decision-making and focuses on key concepts of data visualization, and data aggregation through Power BI, Python, SQL learning, Azure Machine Learning, etc and is therefore one of the best data analytics course in Switzerland.
It is a self-paced 5-7 weeks duration program conducted online along with a capstone project giving a practical demonstration of the concepts taught and a diploma certificate awarded by SSBM Geneva. The course entails the following module outline:
- Introduction to Data Analytics and Data Science
- About Data Structure
- Data Visualization techniques
- Data processing with Power BI
- Power BI
- Databases and SQL learning
- Python and Data Analytics
- Capstone Project: Machine Learning, SQL, Python, Excel etc.

3. ROBERT KENNEDY COLLEGE :
Robert Kennedy College is a renowned private educational college in Zurich, Switzerland offering flexible learning courses through online e-learning technology having exclusive partnerships with top universities like the University of Salford championing international level learning curriculum with students from over 130 different countries making it one of the best data analytics institutes in Switzerland.
It offers a master’s in science course in Data Analytics aiming at industry-relevant theoretical study on data analysis, research, and case studies enhancing one’s understanding of big data and its fundamentals.
The masters’ course is of 12 months to 5 years duration based on preferred time duration and flexible learning schedule where one needs to complete six courses with a final year dissertation with a total of 180 credit points making it one of the best data analytics courses in Switzerland.
The program includes :
- STAGE 1 – COMPULSORY
- Information Management
- Digital Marketing
- Advanced Databases
- Data Analytics
- Artificial Intelligence
ELECTIVE
- Corporate strategy and competitiveness
- Internet of Things
- STAGE 2 – DISSERTATION WORK
Students achieving 180 credit points get the award of M.Sc in Data Analytics.
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4. UNIVERSITY OF BASEL :
The University of Basel is a top-ranked public research university in Basel, Switzerland hosting a range of learning faculties in humanities, social sciences, business, and economics. Founded in 1460, it is the oldest university in Switzerland and is a leading higher educational institute garnering well-respected rankings in global indexes.
It offers a specialized master’s program in data science with a theoretical understanding of the management of large data sets and bridging the interface of mathematics and statistics in solving data analytical models with a modern curriculum having Machine Learning techniques, mathematical operations, and a master thesis making it one of the best data analytics courses in Switzerland.
The course has a total of 120 ECTS credit points divided into 4 semesters with English as the language of instruction. The program entails the following syllabus:
- Mathematical Foundations
- Machine learning and techniques
- Systems Foundation
- Electives in Data Science
- Preparation of the master’s thesis
- Master’s thesis
Eligibility criteria: Candidates holding a bachelor’s degree from a recognized university with mathematics and computer science as their electives or core are eligible to apply.

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5. UNIVERSITY OF ZURICH :
Established in 1833, the University of Zurich is a leading public research institution and is the largest university in Switzerland offering a wide range of study modules on varied faculties of learning in Economic Sciences, Law, Mathematics, and Natural Science.
It offers a master’s degree in Informatics with a data science major imparting a basic understanding of analysis and data processing, recognizing specific data patterns, developing correlations, and drawing inferential formats of data structures.
The course is aligned with industry requirements in the service sector and is one of the best data analytics courses in Switzerland. The course has data science as a major with 90 ECTS credit points and a minor program with 30 ECTS credit points provided by the faculty of business, Economics, and Informatics.
The program is based on the knowledge one gained during the bachelor’s program at the faculty of business, economics, and Informatics with particular emphasis on the programming language Python. The various career paths one can avail :
- Data Scientist
- Data Engineer
- Data Analyst
- Financial Analyst
- Marketing Specialist Analyst
6. ETH ZURICH :
ETH Zurich or the Swiss Federal Institute of Technology is a reputed and leading public research university located in Zurich, Switzerland imparting quality education in domains of science, technology, mathematics, and engineering.
Founded in 1854, it ranks amongst the 20 best universities in the world and is one of the best data analytics institutes in Switzerland offering a specialized master’s program in data science in collaboration with the Department of Mathematics Information Technology and Engineering with a detailed, research-based curriculum of learning the fundamentals of data science, how massive data are being acquired, segregated and managed along with the knowledge of mathematical algorithms in data analysis.
The course is of 2 years duration with instruction medium in English providing core knowledge of handling complex data structures with tools and concepts derived from statistics and information theory hence it is one of the sought-after data analytics courses in Switzerland. The core modules include:
- Advanced Machine learning techniques
- Advanced Algorithms
- Probability and Artificial Intelligence
- Mathematics of Data Science
- Mathematics of Information Technology
- Computational statistics
- Big data
- Data Management Systems
- Optimization for Data Science
- Algorithmic Foundations of Data Science

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7. ZHAW :
Zhaw University of Applied Sciences is a top-rated public university located in Winterthur Switzerland providing a bachelor’s and master’s program in several subjects of learning ranging from life sciences, facility management, applied psychology, engineering, management, and law and is one of the best data analytics institutes in Switzerland.
It offers a detailed professional certificate course on data analysis fundamentals incorporating knowledge of machine learning techniques, deep learning, and neural networks in data analysis and develops quality models on such concepts through linear regression and advanced deep learning techniques.
It is one of the best data analytics courses in Switzerland focusing on creating data visualization, reflecting on the characteristics of machine learning datasets, advanced comprehension of data acquisition, and Python, NumPy, and Pandas. The course has both theoretical exercises and practical projects and includes the following modules:
- Python and Jupyter Notebook
- Introduction to NumPy and Pandas
- Data Exploration
- Data Cleansing
- Data Transformation for Machine Learning
- Working with Databases
- Visualization with Matplotlib and Seaborn
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8. UNIVERSITY OF FRIBOURG :
The University of Fribourg is a renowned public university and the only bilingual university offering courses in both French and German with top international accreditation to its credit. Established in 1889, it has academic degree courses on multiple streams from humanities, Science, Economics, and Social science to information technology with popular courses in data analytics making it one of the best data analytics institutes in Switzerland.
It provides a master’s program in Data Analytics and Economics highlighting the importance of data analysis in regulating future markets and organizations, combining economics on how to manage big data, work with Artificial Intelligence tools, and basics of R programming and Python making it one of the best data analytics course in Switzerland.
The course is 3 to 4 semesters of a total of 63 ECTS credit points divided into mandatory modules and elective modules as such:
- MANDATORY MODULES :
- MODULE 1: Data Analytics
- MODULE 2: Economics of markets and organizations
- ELECTIVE MODULE: Specialization
Eligibility criteria: Bachelor’s degree in any one of the subjects like Mathematics or Microeconomics or Statistics or Business Informatics/ Management or Economics or Information Systems.

9. SIMPLILEARN :
Simplilearn is another popular online learning platform and education medium offering certificate courses with the best faculties and top company tie-ups hence its data analytics courses rank amongst the top data analytics courses in Switzerland providing an in-depth understanding of data analysis, data extraction, and examination for experienced professionals as well as providing an optimal understanding of operational technicalities of data science.
The boot camp module has 7 core parts :
- COURSE 1: Programming Essentials
- COURSE 2: SQL learning
- COURSE 3: Python and its Role in Data Science sponsored by IBM
- COURSE 4: Data science application and Python
- COURSE 5: Machine Learning
- COURSE 6: Tableau Training
- COURSE 7: Data Scientist Capstone
The course is in collaboration with IBM giving practical experience with various analytical tools covering Python, Hadoop, Tableau, etc with AI tools handy for online interaction sessions. It has global faculty and industry-led expert trainers giving lectures and online seminars on various aspects of data analytics, data transformation, and its application in scientific research. There is a master certification provided with approved accreditation.
10. DATAMITES :
Datamites Global Training Institute is another big name in online institutes ranking top in imparting quality data science and analytics knowledge to professionals and entry-level candidates globally and ranked amongst the top 5 global data science institutes by IABAC.
It is offering a certified data analytics course rated as one of the top data analytics courses in Switzerland. It is a 4 monthly program with 3 phases and 20 hours of lecture sessions a week along with 10 capstone project assignments and the opportunity to work on 1 client/live project. It also offers internships with data AI tools and data science techniques.
The 3 phases of the course include:
Phase 1 ( 2 weeks ): Study on Pre-course module
Phase 2 ( 2 months): Live training
Phase 3 ( 2 months): Internship and projects
The program includes the following core modules:
Data Analysis Foundation :
- Introduction to Data Analysis
- Time series and trend analysis
- Ranking analysis
- Variance and frequency
Data Science Foundation:
- Data Science essentials
- Data Engineering
- Visualization with python
- Statistics
- Machine Learning Introduction
Data Analysis Associate:
- Pareto Analysis
- Break Even Analysis
- Comparison and Correlation Analysis
- Data Analysis business reporting
Advanced-Data Analytics:
- Optimization models
- Predictive Analysis with regression
- Decision modeling

- Business Intelligence Introduction to the concept
- Business Intelligence with Tableau
- Tableau: The basic knowledge in data analytics
- Tableau: Business Insights
- Dashboard, stories, and pages
- Business intelligence with Power BI
The course has partnerships with reputed brands like KANTAR, IQUIA, Genpact, Capgemini, Cognizant, Symphony AI, L & T Infotech, HCL, etc providing platforms for job opportunities through practical projects.
FAQs:
1. What is the basic purpose of Data Analytics?
Ans: The basic purpose of data analytics is the harnessing of large data structures, and processing them into usable form to help businesses cater to better organizational decision-making and upscale their market performance.
2. Does having a background in Mathematics or Statistics mandatory for studying data analytics?
Ans: Yes, a candidate with a background in mathematics or Statistics is required to enroll in data analytics courses as they demand computational skills.
3. What are the skills required to become a data engineer?
Ans: A data engineer must have highly technical skills in handling and monitoring databases, the ability to work efficiently with servers and applications, and must have core knowledge in software engineering.
4. What are the job opportunities one can avail of after pursuing data analytics courses in Switzerland?
Ans: The job opportunities after studying courses from the data analytics institutes in Switzerland include that of a business analyst, marketing specialist analyst, data scientist, data engineer, etc.
Conclusion:
Thus, data analysis is helping unlock the true potential of technological and digital businesses by continuously monitoring and exploring data sets to develop customer-friendly data models enhancing better outcomes in strategy-making, and increasing the system efficiency. Data analytical courses therefore are the best platforms to equip IT professionals to hone their skills to face such market challenges and hence the data analytical courses in Switzerland offer diversified opportunities to get acquainted with data structures and forge a career path in the domain.