Liechtenstein is located in the heart of Europe and is well known for its medieval castle. Liechtenstein is well-recognized for its technical and innovative approaches. It is famous for its industries and nature. The latest development in Liechtenstein includes one of the topmost programs in data science. This nation capitalises on the data age through data mining, which will help to make new opportunities and doors available and improve its position among countries and industries. Data science helps to build a good career and develop yourself in big companies and enterprises. You can refer to the top 10 data science courses in Liechtenstein as guidance to make a career in this domain.

 

DATA SCIENCE COURSES IN LIECHTENSTEIN

Let us begin to explore the top data science courses in Liechtenstein in the article below.

 

How Does Data Science Help You to Build a Career?

Data has spread like wildfire in the digital world. Data science helps you in various ways to learn about data and its applications.

By focusing on Data science practicals, training, and certifications, one can become a potential candidate in industries ranging from banking to IT. Certification in data science can boost a learner’s career prospectus, and individuals stay ahead in the latest career horizons.

Various institutes offer job assistance and help you find jobs that may be helpful for you through hiring partners. You will build a portfolio of capstone projects which is completed in such a course and used to communicate skills to employers.

Data science courses provide various opportunities through learning sessions, which help to motivate you as you learn. Through certifications, learners can get jobs in big industries and businesses.

Also Read,

 

Top 10 Data Science Courses In Liechtenstein With Placements

 

1. IIM SKILLS

This is one of the best data science institutes in Liechtenstein. It was established in 2015 and offers skill-based learning courses that help students and professionals across all stages of their careers.

Data science courses in Liechtenstein offered by IIM SKILLS are for anyone who is a data enthusiast, including learners without qualifications.

IIM SKILLS offers 11 months of MBA data science courses with instructor-led courses in Liechtenstein. This course provides internship and guaranteed interviews with 100% job assurance.

Students can learn tools of data science and build their skills through practical sessions. Analyse and get actionable insights from data and data models used for decision-making.

Data Science Course  Offered by IIM SKILLS:

Course Fees Duration
Data Science Master Courses 659.30 Swiss Franc + Taxes 11 Months + 2 Months Of Guaranteed Internship

Course Curriculum:

  1. Statistics using data science
  2. Data Science using Python
  3. Data Science using SQL
  4. Data Science using Tableau
  5. Data Science using R
  6. Data science using Artificial Intelligence(AI)
  7. Data Science using Alteryx
  8. Data science using Machine learning

List Of Other Popular Courses By IIM SKILLS:

Contact Information:

Phone: +91 9580740740

Website: iimskills.com

 

2. Universitat Liechtenstein

This institute adds the latest and forward-looking topics to its wide range of data science programs. Data science institutes in Liechtenstein offer Master of Science (MSc) in data science and information systems.

It has developed cooperation with regional industry. Some of the professors successfully conduct research, offer consulting in Big Data and extend their skills in data science.

Course Curriculum:

  1. Data visualisation and exploration
  2. Supervised learning techniques for regression (e.g. logistic regression)
  3. Supervised learning techniques for classification (e.g. classification trees)
  4. Unsupervised learning techniques (e.g. clustering, dimensionality reduction)
  5. Fundamentals of deep learning
  6. Text mining (e.g. topic modelling)
  7. Hands-on labs with Python

This institute offers a C19  course curriculum. Through this course, students can understand basic knowledge of data mining and the quality of statistical methods. Students can get accurate insights by using statistical methods.

Also Read,

 

3. Knowledge Academy

Students can learn data science with R in detail and understand statistical methods and data visualisation in data science with R from Knowledge Academy.

Students can gain experience with real data sets to enhance their skills. Knowledge Academy is one of the richest data science institutes in Liechtenstein. This institute provides a curriculum that is industry-based and helps to build a career.

Data Science with R Training Course Outline

Module 1: Introduction to R

  • What is R?
  • R Installation and Dashboard Review
  • Variables
  • Data Types
  • Operators
  • Conditional Statements
  • Looping Statements
  • Functions

Module 2: Data Structures in R

  • What are Data Structures?
  • Vectors
  • Lists
  • Matrix
  • Arrays
  • Dataframes

Module 3: Working with Data in R

  • Types of Files in R
  • Working with CSV
  • Working with Excel Files
  • Working with JSON Files
  • Working with XML Files

Module 4: Data Manipulation in R

  • What is Data Manipulation?
  • Installation of Dplyr Package
  • Data Manipulation Operations in R

Module 5: Data Visualisations in R

  • What is Data Visualisation?
  • Working with Graphs and Plots in R

Module 6: Statistics in R

  • Introduction to Statistics in R
  • Introduction to Descriptive Statistics
  • Distributions in R

Module 7: Machine Learning

  • Introduction to Machine Learning
  • Types of Machine Learning
  • Introduction to Supervised Learning
  •  Introduction to Unsupervised Learning
  •  Students can learn remotely through online instructor-led data science and R training. Classes can engage with experts and mirror classroom schedules for the learning journey. Students can enjoy virtual learning without compromising on the quality of interaction.

Read Now,

 

4. StudySail

StudySail is one of the leading data science courses in Liechtenstein. It helps learners to understand basic concepts of data cleaning, machine learning, and data analysis.

Easily familiar with data extraction tools such as AI. Gain programming skills such as Python, SQL, and R. Students can build data sets and predictions.

Data science is taught by highly experienced experts in the learning journey. Easily establish professional networks with peers and industry leaders.

This institute provides group assignments and practicals on a statistical basis and webinars on troubleshooting.

Training on applying the latest trends and patterns on big datasets. StudySail is one of the greatest data science institutes in Liechtenstein.

Course Curriculum:

Fundamentals of Data Science

  1. Introduction to Data Science
  2. How to collect, clean, and analyse data using various tools and techniques
  3. The fundamentals of machine learning algorithms
  4. Programming languages like Python
  5. How to extract valuable insights and patterns from large data sets using data mining techniques
  6. Challenges and opportunities presented by big data
  7. How to present data visually through charts, graphs, and interactive dashboards
  8. How to analyse and interpret human language using algorithms
  9. Ethical and legal considerations of working with data

Data Collection and Cleaning

  1. Data sources and identification
  2. Data collection methods such as manual, automated data collection, and sensor data acquisition
  3. Assessing the quality of data through validation and accuracy checks
  4. Data sampling and cleaning techniques
  5. Data processing and transformation from raw data to valuable information
  6. Data validation and documentation
  7. Integrating data from multiple sources and formats into unified data sets
  8. Compliance with data privacy regulations and ethical considerations

Exploratory Data Analysis

  1. Detailed data description
  2. Data visualisation
  3. Statistics to gain insight into datasets
  4. Data distribution Identifying and handling extreme values
  5. Transforming and creating new features to improve models
  6. Identifying patterns and trends within the data
  7. Feature engineering
  8. Hypothesis and testing of data
  9.  Plots

Statistics Fundamentals

  1. Data types and measurement scales
  2. Descriptive statistics and measures of central tendency such as mean, mode, and media
  3. Probability theory, principles, rules, distributions, and calculations
  4. Sampling methods
  5. Estimating population parameters with datasets
  6. Examining relationships between variables through regression
  7. Statistical tools such as R or Python
  8. Data interpretation and translation into actionable sights
  9. Data sets

Machine Learning

  1. Supervised learning, including principles and algorithms for training data models
  2. Unsupervised learning, such as data clustering
  3. Data regression analysis and techniques
  4. Classification of data into predefined categories
  5. Ensemble methods to improve model performance
  6. Fundamentals of neural networks, such as deep learning architecture
  7. Machine learning evaluation methods
  8. Feature engineering in-depth

Tools and Technologies

  1. How to manipulate data and clean data using libraries like Panda
  2. Delve deeper into data analysis libraries like NumPy for numerical computations
  3. Master Git, a control system for managing code effectively
  4. How to process big data using frameworks like Apache Hadoop
  5. Understand how to use different database technologies, including SQL and NoSQL
  6. Learn about cloud computing platforms like Google Cloud Platform and Amazon Web services
  7. Explore automated machine learning tools like AutoML and data analytical dashboards
  8. Learn about Integrated Development Environments specifically designed for data science exploration

Ethical and Privacy Considerations

  1. Explore anonymisation and de-identification techniques
  2. Understand the ethical considerations for bias and fairness in data algorithms.
  3. How to implement data security, including data encryption and secure storage
  4. Learn how to share data responsibly with third parties for data protection
  5. How to deal with conflicts of interest or potential harm in data frameworks
  6. Explore the implications of AI automation, job displacement, and societal impact
  7. Explore the future of data ethics and practices for responsible data in the future

AcademyTech

Unlock the immense potential of data science and Power BI in Liechtenstein with AcademyTech!! This institute provides the journey of data analytics and Power BI.

Tailored courses offer the expertise you need. Under the guidance of instructors, delve into projects and cutting-edge technologies and tools industry practices, ensuring well equipped to sharpen the power of data-driven insights and solutions.

Let’s join this course of master of data analysis and empower industries and businesses with decision-making in the dynamic landscape of Liechtenstein. This institute offers data science courses in Liechtenstein in various subjects.

Course Curriculum:

  1. Importing dataset
  2. Cleaning dataset
  3. Data frame formation
  4. Summarising data
  5. Building a data pipeline
  6. Statistical analysis
  7. SQL queries
  8. SQL table manipulation
  9. SQL transactions
  10. Data lifecycle

A Must Read,

 

5. UniChrone

Data science courses in Liechtenstein are highly recognised for certifications that demonstrate knowledge and skills of leading-edge methodologies, tools, and techniques needed to get insights from large datasets.

This institute offers a 4-day interactive online classroom and mentor guidance to learners. Provides training and study material to learners.

This institute in Liechtenstein supports learners to learn as per a convenient schedule, such as on weekdays or weekends. It involves highly qualified and experienced trainers to train students.

Course Curriculum:

1. Python for data analysis- Numpy

Topics

  • · Introduction to NumPy
  • · NumPy Arrays
  • · Aggregations
  • · Computation on Arrays: Broadcasting
  • · Comparison, Boolean Logic and Masks
  • · Fancy Indexing
  • · Sorting Arrays
  • · NumPy’s Structured Arrays

2. Python for data analysis- Panda

Topics

  • · Installing Pandas
  • · Pandas Objects
  • · Data Indexing and Selection
  • · Operating on Data in Pandas
  • · Handling Missing Data
  • · Hierarchical Indexing
  • ·Concat and Append
  • · Merge and Join
  • · Aggregations and Grouping
  • · Pivot Tables
  • · Vectorized String Operations
  • · Working with Time Series
  • · Eval() and Query()

Python for data analysis- Matplotlib

Topics

  • · Overview
  • · Object-Oriented Interface
  • · Two interfaces
  • · Simple Line Plots and Scatter Plots
  • · Visualizing Errors
  • · Contour Plots
  • · Histograms, Binnings, and Density
  • · Customizing Plot Legends
  • · Customizing Color Bars
  • · Multiple Subplots
  • · Text Annotation
  • · Three-Dimensional Plotting

4. Python for data analysis- Seaborn

Topics

  • · Installing Seaborn and Load Dataset
  • · Plot the Distribution
  • · Regression Analysis
  • · Basic Aesthetic Themes and Styles
  • · Scatter Plots
  •  . Hexbin Plots
  •  . KDE Plots
  • · Use Boxplots and Violin Plots

5. Python for Data Analysis- Machine learning

Topics

  • · Introduction
  • · Importance
  • · Types
  • · How does Machine Learning Work?
  • · Machine Learning Mathematics

6. Natural Language Processing

Topics

  • · Introduction to NLP
  • · NLP and Writing Systems
  • · Advantages
  • · NLP Applications

7. Deep Learning-

Topics

  • · Introduction
  • · Importance
  • · Working

8. Big Data-

Topics

  • · Big Data Analytics
  • · State of Practice in Analytics
  • · Main Roles for New Big Data Ecosystem
  • · Phases of Data Analytics Lifecycle

9. Working with Data in R-

Topics

 . Data Manipulation in R

  • · Data Clean Up
  • · Reading and Exporting Data
  • · Importing Data
  • · Charts and Graphs

 

6. UpGrad

It is one of the finest data science institutes in Liechtenstein. This institute offers various data science courses in Liechtenstein.

It equips the candidates with the knowledge and skills to be able to handle data workloads. Data science courses in Liechtenstein offer learning experience in data science degrees.

Top universities collaborated to build data science certification courses with industry-based curricula. This institute offers post-graduation courses in data science and AI.

Course Curriculum:

  1. Machine learning modules
  2. Data visualisation
  3. Data Analysis
  4. Big data
  5. Deep learning
  6. Python
  7. SQL
  8. AI modules

Students can learn data analysis and big data with Hadoop tools and machine learning algorithms through data science institutes in Liechtenstein. Students can gain certificates after completion of the course.

 

7. Datamites

Datamites is one of the data science institutes in Liechtenstein that covers machine learning, Python, R, statistics, and Tableau.

This course consists of 3-months, with weekdays and weekends in an online classroom with training and 4-month project mentoring.

Students can access the lab through a cloud-based online mode from this data science institute in Liechtenstein. The entire training offers live projects and case studies.

This course includes statistics, machine learning, programming, data skills, and business domains, covering all core parts of data science to help you achieve a great grip on it.

This institute offers three types of data science courses such as:

  1. Live Virtual- Rs. 70,623
  2. Blended learning-Rs.42,948
  3. Classroom-Rs. 80,873

Course Curriculum:

  1. Data Science Foundation
  2. Python Foundation
  3. Statistics
  4. Machine learning
  5. Advanced data science
  6. Database
  7. Big data foundation
  8. BI analyst

 

8. Masters Portal

Masters Portal provides a master of Science postgraduate degree. This is one of the top-reputed institutes for courses in data science in Liechtenstein.

Masters Portal offers various classes that are technically oriented and focus on developing problem-solving skills through research.

Masters Portal in Liechtenstein provides three master of science programs. Before enrolling in the course, learners must have a basic knowledge of English.

Course Curriculum:

  1. Big data analysis
  2. Working with data
  3. Statistical concepts
  4. Mathematics

Big data is used to organise data using various tools and technologies. By using various sources and techniques, organise data to achieve project goals.

Data science graduates and big data programs convert raw data into the right insights using models, methods, tools, and techniques. Data science graduates can easily find careers in business and industries as data analysts, data scientists, and engineering analysts.

 

9. Intellipaat

Begin new career opportunities by enrolling for a master’s in data science in Liechtenstein. Intellipaat is one of the Data science institutes in Liechtenstein that provides a curriculum which is designed by experts and helps to build data science projects.

This institute provides 232 hrs of led instructor training and mentor support during projects. This course supports certifications after course completion and 104 hrs of self-paced videos for studying purposes.

 Various Skills to Master:

  1. Data Science with R
  2. Data Science with Python
  3. Machine learning
  4. Artificial Intelligence
  5. Spark
  6. Power BI
  7. Data Blending
  8. Advanced Excel
  9. MongoDB
  10. SQL
  11. Database Objects
  12. MSSQL

Course Curriculum:

Module 01 – Data Science with Python

Module 02 – Python basic constructs

Module 03 – OOPs in Python (Self-paced)

Module 04 – NumPy for mathematical computing

Module 05 – Data manipulation

Module 06 – Data visualisation with Matplotlib

Module 07 – Machine Learning using Python

Module 08 – Supervised learning

Module 09 – Unsupervised Learning

Module 10 – Python integration with Spark (Self-paced)

Module 11 – Dimensionality Reduction (Self-paced)

Module 12 – Time Series Forecasting (Self-paced)

This curriculum helps learners to build their careers through this course. This course is one of the best data science institutes in Liechtenstein.

 

10. Crystal Ball

This institute provides MBA master’s degree courses to learners. This is one of the top data science training program in Liechtenstein.

Data science institutes in Liechtenstein provide training to candidates in building careers through big data.

World-leading universities have professional degree programs catering to the needs of data research and training.

Course Curriculum:

  1. AI Basics
  2. Power BI examples
  3. Machine learning
  4. Deep learning
  5. Training in Artificial intelligence
  6. Business Analytics
  7. Big Data

 

Frequently Asked Questions

1. Which tools are used for data science projects?

Tableau, Power BI, SQL, Excel, Python, Matplotlib, Seaborn, Jupyter, and Apache Spark. These tools are useful for developing data science projects and real-life case studies. These tools are easy from online mode with minimum storage and help to build reports and dashboards which is easily understood by users. Various tools can be learned through data science institutes in Liechtenstein.

2. What is the biggest challenge in data science?

These are the major challenges of data science:

  1. Data quality and availability
  2. Data integration
  3. Data scalability
  4. Data privacy and security
  5. Data interoperability
  6. Adapting advancements in technology
  7. Talent

3. Which problems can data science solve?

Data science can solve the biggest challenges in industries and businesses which face in keeping up with latest demands and get solutions catering to demands. Data science helps with prototyping and product improvement solutions. With these data science courses in Liechtenstein, students can easily handle problems of data and get insights.

4. Which are some good institutes in Liechtenstein which provide Data Science Courses?

There are many institutes in Liechtenstein which provide very good Data Science courses. These include IIM SKILLS ( recognised as the best one among all the institutes), Datamites, Crystal Ball, etc.

 

Conclusion

The top 10 data science institutes in Liechtenstein help you to find the right data science courses to build your career. After enrolling in a data science course, students can learn essential skills in statistics, mathematics, and programming basics.

You will learn tools used in data science, such as SQL, Power BI, and Tableau, which are currently used by data scientists in their jobs. Various data science courses introduce AI and Machine learning to get the latest updates in data science.

This course decides whether you want a great career in data science before you decide to pick up skills in various areas. Students can choose data science courses that include practical training, conceptual learning, placement guidance, insights from experts, and various features that help them to move forward in data science careers.

facebookShare on Facebook
TwitterTweet
FollowFollow us