Top 7 Data Analytics Courses in Cyprus With Placements

Data Analytics Courses in Cyprus have given a new pathway to understanding the culture of the globe the modern world and the technology of science. Data analytics is the science of analyzing raw data to make closure about information. Many of the procedures and mechanisms of data analytics are automated into mechanical processes and algorithms that work over raw data for human expenditure. It acts like a filter when it comes to acquiring meaningful discernments out of a huge data set. It helps keep human inaccuracy away from the research conclusion with the help of proper demographic treatment.

 

DATA ANALYTICS COURSES IN CYPRUS

Let us begin to explore the best data analytics courses in Cyprus in the article below.

Why Take Data Analytics Courses in Cyprus?

Data Analytics is the procedure of manipulating and understanding data to analyze and uncover acumen that can influence business decisions, With large and diverse data sources, including structured and unstructured data.

 

Benefits of Taking Data Analytics Courses in Cyprus:

➢    Data Analytics Skills Boost Your Problem-solving Skills

The core of analytics is all about using data to solve complex problems. Consistently working on solving problems helps you think more adversely, communicate better, work under pressure, and be a greater asset to any employer.

 ➢    Data Analytics Helps You Make Better Decisions

By learning how to utilize the power of the data that you cooperate with at work, rather than leading with just your gut feelings, you can have a big impact on your company’s business decisions and success. It helps reach your sales goals and better connect with your audience.

➢    Data Analytics Skills Are Pertinent to Everyday Life

Explaining intricate data to senior management can help fortify your communication strategies outside the office while understanding and learning how to codify data effectively could help you with subjective budgeting. It is very beneficial for life.

➢    Data Analytics Jobs Are in More Demand

In a variety of sectors with the tech industry growing to new heights, the ability to analyze data is necessary, and so is the necessity for data analysts. Hence opportunities are vastly provided through the organizations, and the salary you demand.

 

 

Top 7 Data Analytics Courses In Cyprus With Placements

 

1. IIM SKILLS

IIM SKILLS is one of the world’s skyrocketing learning technology companies. IIM SKILLS has its axis in 23 cities in Asia including Dubai, and Singapore offering a wide variety of courses with an easy-going curriculum in academic fields.

Their ties with Google, Times of India, Meta, and other ventures from India also boost job opportunities. IIM SKILLS has valid identification from delegated bodies and hence taking Data Analytics courses in Cyprus is helpful.

Course Details:

Name:  Data Analytics Course

Duration: 6 Months Of Training + 2 Months Internship (optional)

EMI: Interest Free

Certification: Yes

Fees- 552.48 Euros + Taxes


The Data Analytics Curriculum Offers:

  1. Basic and Advanced Excel
  • Introduction to Data Handling
  • Data Visualization
  • Data Manipulation
  • Data Analysis and Reporting
  • Overview of Dashboards
  1. Data Analytics using VBA
  • Introducing VBA
  • Programming constructs in VBA
  • Key components of programming language
  • How VBA works in Excel
  • Objects and memory in VBA
  • Functions and procedures in VBA Modularising your programs
  • Communicating with your users
  1. Data Analytics using SQL
  • Basics RDBMS concepts
  • Utilizing the Object Explorer
  • Data-based object creation (DDL commands)
  • Data Manipulation (DML commands)
  • SQL server reporting services
  • SQL server integration services
  1. Data Analytics using Python
  • Introduction to basic statistics
  • Introduction to Mathematical Foundations
  • Introduction to analytics and data science
  • Python Essentials (Core)
  • Operations with NumPy (Numerical Python)
  • Overview of Pandas
  • Cleansing data with Python
  • Data analysis using Python
  • Basic visualization tools
  • Visualising Geospatial Data
  • Data Visualization with Python
  • Advanced visualization tools
  • Statistical Methods and hypothesis testing
  1. Data Analytics using Power BI
  • Introducing Power BI
  • Data preparation and modeling
  • Data analysis expressions (DAX)
  • Reports development (Visuals in Power BI)
  1. Data Analytics using Tableau
  • Getting Started
  • Data handling and summary
  • Data handling and summary 2
  • Building advanced Reports/ Maps
  • Table calculations
  • Calculated field
  1. R for Data Science
  • Data importing/ exporting
  • Data manipulation
  • Data manipulation 2
  • Data analysis
  • Data visualization with R
  • Using R with database
  • Introduction to statistics
  • Linear regression: solving regression problems
  • Testing
  1. Data Analysis using Alteryx
  • General Overview of the course with fundamental concepts ● Using the select tool for renaming fields and changing the data type ● Understanding the user environment and Alteryx settings                             ● Remove the data set
  • Connect to the data source
  • Alteryx designer interface
  • Set data field types
  • User and workflow settings
  • Remove and Rename fields
  • Filtering data/ Data processing
  • S blending/ Join data from different sources
  • Filtering using String data
  • Finding customers with 10 or more transaction histories
  • Transpose, dynamic rename, and input data, and text to columns
  • Identify common data fields
  • See how all records fit the filter
  • Data cleansing
  • Input values
  • Random sample

Eligibility Criteria for Individuals such as:

⮚ Fresh Graduates

⮚ IT Professionals

⮚ Sales Professionals

⮚ Banking and Finance Professionals

⮚ UG/PG Students

⮚ Supply Chain Network Managers

⮚ Marketing Managers

Benefits and Highlights of Taking course at IIM SKILLS:

▪ Trained by Industry Experts

▪ Career Empowerment

▪ Internship Opportunities

▪ Certification of completion from IIM SKILLS

▪ Window for Placement

▪ 100+ Hours of practical assignment

▪ 160 hours of live teaching/ lectures

▪ 16 hands-on projects

List of other Professional Courses from IIM SKILLS

Contact Details:

Contact: +91 9580 740 740

Email: [email protected]

Website: www.iimskills.com

Explore more about the in-demand:

 

2. UpGrad

UpGrad is one of the top thriving online education platforms that offers various courses to individuals to reach their true potential in the professional world. Our principle is to guide working professionals or students and upskill their knowledge to engage new technologies in modern technologies.

Learning Data Analytics courses in Cyprus focus on delivering envisaged comprehension along with hands-on experience to ensure a successful boost for your career in the line of business, At upGrad we highlight grasping automation to modify the way education is distributed in the new modern age of technology and data analytics.

Tools Covered Are:

Tableau, TensorFlow, Spark, pandas, aws, NumPy, python, Keras, MySQL, MongoDB, Hadoop

Your guide to becoming a Data Science professional by taking Data Analytics courses in Cyprus is as follows:

  • Pre-Bootcamp

➔   110 Hours of Self-Learning Content

➔   10+ Modules to Strengthen Your Fundaments

  • Bootcamp

➔   20 Case Studies

➔   165+ Hours of Live Instructor-Led Sessions

➔   15 Hours of Mentorship

  • Capstone

➔   Industry-Led Master Class

➔   Industry-Led Feedback Sessions

➔   17 Industry Oriented Capstone Projects

  • Post-Bootcamp

➔   2 Mock Interviews

➔   Dedicated Placement support

➔   LinkedIn Profile Review

Course Curriculum are

❖    MS Excel

❖    Programming Basics

❖    SQL Basics

❖    Data Analytics Using SQL

❖    Python for Data Science: Data Structures Installation Building Blocks, and Strings

❖    Python for Data Science: Modules, Functions, Errors, Lambda functions, Files, and OOPs

❖    Probability and Statistics: Regressions, Hypothesis Testing and ANOVA

❖    Probability and Statistics: Probability Theory, Descriptive Statistics, and Distributions

❖    Data Preprocessing: Web Scraping and EDA

❖    Data Preprocessing: Numpy, RegEx, Pandas and Visualizations

❖    NoSQL

❖    Data Visualization with Tableau

❖    Machine Learning: Linear Regression

❖    Machine Learning: Math for Data Science

❖    KNN, Naive Bayes and SVM

❖    Regularization Techniques: LASSO and RIDGE

❖    Introduction to Classification and Logistic Regression

❖    Decision Tree, Random Forest and Boosting

❖    Big Data Processing with Hadoop

❖    Unsupervised Learning: Clustering and PCA

❖    Streaming Big Data with Spark: ETL, SparkSQL, Spark Runtime, and Stream Processing

❖    Streaming Big Data with Spark: Apache Kafka

❖    Machine Learning Model Development on Cloud

❖    Natural Language Processing: Sentiment Analysis and Chatbots

❖    Natural Language Processing: Spacy, Text Classification, Feature Extraction, and Textblob

❖    Data Structures and Algorithms

❖    Deep Learning with Keras and TensorFlow: Keras, TensorFlow, and CNN

❖    Deep Learning with Keras and TensorFlow: NLP, GANs, and Adv CNNs

Career Assistance:

  • Career Planning & Teaching

➔   Career Coaching

➔   Goal Setting

➔   Personalized Career Planning

  • Interview Preparation

➔   Hackathons and Mock Interviews

➔   DS, Algo, and System Design

➔   Interview Analysis and Feedback

  • Dedicated Placement Support:

➔   Resume, LinkedIn, and GitHub Reviews

➔   Target Software Developer Roles

➔   Comprehensive Placement

Contact:

+1800 210 2020

[email protected]

You may also be interested in:

 

3. My GreatLearning

Data Analytics courses in Cyprus at GreatLearning enable me to have a great career in the digital world. It is one of the most affluent online educational platforms which has set its footprint globally in 170+ countries, Established 10 years ago, it provides great learning to students and working professionals to grow efficiently.

The Data Analytics course here at My GreatLearning has delivered a commendable career boost to those curious about the tech field. Mentors here shape the students to learn profoundly and be future-ready. Career progression in leading companies like Adobe, Amazon, IBM, Deloitte, Microsoft, American Express, McKinley, Accenture and many more.

Course Overview:

  • Personalized Weekend Mentorship Sessions
  • 12 Months/ Online
  • World-renowned faculty and Seasoned Industry Experts
  • Hands-on Exposure to 10+ Languages and Tools (Tableau, Python SQL, etc)
  • Case Studies with Real-World Datasets:

➔   40+ case studies across different industry verticles

➔   11 hands-on projects and 1 capstone project

➔   40+ quizzes (25 graded) for reinforcement of conceptual and practical understanding

Career Opportunities Provided:

  • Data Scientist
  • Data Engineers
  • Database Administrator
  • Data Architect
  • Data and Analytics Manager
  • Business Analyst
  • Statistician
  • Data Analyst
  • Machine Learning Engineer

Curriculum Modules:

★    Data Science Foundations

➔   Module 1: Introduction To AI and Data Science (Self-Paced)

➔   Module 2: Business Finance (Self-Paced)

➔   Module 3: Marketing And CRM (Self-Paced)

➔   Module 4: Introduction To SQL (3 Quizzes-1 Project)

➔   Module 5: Python For Data Science (4 Quizzes-1 Project)

★    Data Science Techniques

➔   Module 1: Inferential Statistics (3 Quizzes-1 Project)

➔   Module 2: Predictive Modeling (2 Quizzes-1 Project)

➔   Module 3: Machine Learning-1 (3 Quizzes-1 Project)

➔   Module 4: Machine Learning-2 (3 Quizzes-1 Project)

➔   Module 5: Unsupervised learning (2 Quizzes-1 Project)

➔   Module 6: Time Series Forecasting (3 Quizzes-1 Project)

➔   Module 7: Optimization Techniques (Self-Paced) (2 Quizzes)

★    Domain Exposure

➔   Module 1: Demystifying ChatGPT, Overview & Applications of Generative AI (Self-Paced)

➔   Module 2: Marketing and Retail Analytics (1 Project)

➔   Module 3: Social Media and Web Analytics (Self-Paced)

➔   Module 4: Financial and Retail Analytics (1 Project)

➔   Module 5: Supply Chain & Logistics Analytics (Self-Paced) (2 Quizzes)

★    Visualization and Insights

➔   Module: Data Visualization using Tableau (2 Quizzes)

★    Capstone Project

Fee Structure & Contact:

2,95,000 INR+GST

+080 6947 4555

[email protected]

 

4. Indian Institute of Technology Delhi

The business world is booming and reaching great heights of technology, Data has become the key drive to modern powering everything from the perception of curious minds of working professionals to students, Data Analytics courses in Cyprus offered by online ed-tech Indian Institute of Technology Delhi shape students to achieve growth and experience in the digital world, through hands-on teaching and mentorship with real case studies provided by our faculty.

You will learn advanced techniques, and core statistical analysis in business analytics, which will build a great career and empower students to make efficient decision-making skills and take on complex challenges.

Tools provided are Spss, Python, JASP, SQL, Orange, KNIME, Excel, and more.

Course Overview:

  • Impactful weekly online live learning sessions led by IITD Faculty
  • Data Analytics for Business Applications certificate from CEP IIT Delhi
  • Hands-on experience, real-world data sets, industry-oriented insights
  • Essential business analytics tools like Knime, SPSS, Orange, Python, and SQL
  • Expanded professional network through peer-to-peer learning
  • Capstone project under the guidance of IITD Faculty

Data Analytics courses in Cyprus Program Curriculum include:

★    Pillar 1: Core Statistical Analysis

➔   Data Formats and Collection

➔   Secondary Data Analysis

➔   Approaching BA- Summarization, Exploring Difference, Casual Inferences

➔   Small Data- Descriptive Statistics: CrossTabulations, Chi-Square, Correlations

➔   Analysis of Variance- T-Test, ANOVA, MANOVA, ANCOVA, MANCOVA

    Pillar 2: Prescriptive Decision Science Systems

➔   Exploratory and Principal Component Analysis, Confirmatory Factor Analysis

➔   Logistic Regression

➔   Market Basket Analysis, Time Series Analysis, Cluster Analysis

➔   Regression- Linear Multivariate

➔   Qualitative Data Analysis- Content/ Text Analysis

➔   Nonparametric Analysis of Small Sample Data

★    Pillar 3: Prescriptive Decision Science Systems

➔   Data Visualization

➔   Data Analysis and Types

➔   Analytic Hierarchy Process

➔   Linear Programming and Mathematical Programming

★    Pillar 4: Artificial Intelligence and Machine Learning

➔   Unsupervised Machine Learning

➔   Artificial Neural Networks and Deep Learning

➔   Supervised Machine Learning

➔   Social Media Analytics Using Natural Language Processing

➔   Machine Learning Implementation using Orange/ Anaconda

➔   Hands-on Business Applications of Analytics in Marketing, Finance, HRM, Strategy, and Supply Chain

➔   Web Analytics and Google Analytics

Course Duration & Fees Structure:

7 Months Duration

98,000 INR+GST (EMI Option Available)

Contact:

+91 86570 38243

[email protected]

[email protected]

 

5. ExcelR

By taking Data Analytics courses in Cyprus, ExcelR is one of the fastest-growing educational organizations and has been honoured with many awards for the skills and training they offer young minds to make their career leave a mark in this global digital market. The mentors are committed to providing great learning skills and knowledge to students.

This 150+ hour Data Analyst training provides certification collaborated with IBM and the curriculum includes Excel (Basic and Advanced), Power BI, MySQL, Tableau, and many more. Data-driven businesses are more likely to flourish in the digital industry.

We have also collaborated with NASSCOM, and Future-Skills Prime to build a beneficial digital and technical ecosystem for students to learn great skills and are accredited with 2 certificates after the completion of the course.

Skills Covered Are:

Database Concepts, Data Analysis Concepts, Functions Charts & Slicers, Data Visualization

Tools Covered Are:

Excel (Basic & Advanced), Tableau, MySQL, Python Programming, PowerBI, R Programming Fundamentals, SAS (Self-Paced)

Course Structure:

  • 5+ Capstone Projects
  • 4 Skills and 8+ Tools Covered
  • Course Duration 150+ Hours / 6 Months
  • 80+ Assignments and Case Studies
  • 60+ Hours of Internship With AI / Variant
  • 5 Value Added Courses

➔   Business Statistics

➔   R Programming

➔   Python

➔   Introduction to SAS

➔   ChatGPT

Course Modules:

★    Excel

➔   Introduction

➔   Referencing, Named ranges, Uses, Arithmetic Functions

➔   Logical Functions

➔   Referring to data from different tables: Nested IF, Various types of Lookup

➔   Advanced functions

➔   Date and Text Functions

➔   Data Cleaning, Remove Duplicates, Data Handling, Data cleaning, Data type identification, Formatting and Filtering

➔   Data Visualization: Conditional Formatting, Charts

➔   Data Summarization: Pivot Report and Charts

➔   Data Summarization: Dashboard Creation, Tips and Tricks

➔   Connecting to Data: Pivot, Power Query, Power Pivot within Excel

➔   VBA and Macros

    MySQL

➔   Introduction of MySQL

➔   DQL & Operators

➔   SQL Commands and Data Types

➔   Case When Then and Handling NULL Values

➔   Group Operations & Aggregate Functions

➔   Constraints

➔   DDL

➔   Joins

➔   Indexes and Views

➔   DML & TCL Commands

➔   Exception Handling

➔   Stored Procedures

➔   Function, Constructs

➔   Union, Intersect, Sub-query

★    Tableau

➔   Basic Charts and Formatting

➔   Introduction to Tableau

➔   Filters

➔   Calculations

➔   Custom Charts

➔   Groups, Bins, Hierarchies, Parameters, Sets

➔   Data Combining Techniques

➔   Dashboard Actions & Tableau Public

➔   Analytics and Dashboard

★    Power BI

➔   Power BI Introduction and Installation

➔   Sample Dashboard with Animation Visual

➔   The Power BI user interface, including types of visualizations and data sources

➔   Power BI Artificial Intelligence Visual

➔   Power BI Visualization

➔   Power BI Service

★    R Programming

➔   Introduction to R, Data types in R, Installation of R Studio

➔   Decision-Making Statements, Loops, Functions

➔   Built-in Functions in R, Joins, and ggplot2

   Python Programming

➔   Anaconda Installation, Operators, Data Types, Introduction to Python

➔   Sets, Regular Expressions, Set Theory, Decision making Statements

➔   Loops, Functions, Lambda functions, Modules

➔   Data Types Contd, Inbuilt functions in Python, Slicing the data

➔   Pandas, NumPy, Matplotib, Seaborn

★    Business Statistics

➔   Probability and Normal Distribution

➔   Descriptive Statistics

➔   Data Cleaning and Insights

➔   Inferential Statistics

★    ChatGPT

➔   Introduction to ChatGPT & AI

➔   Types of AI and ChatGPT Architecture

➔   ChatGPT Prompt Engineering

➔   ChatGPT Functionalities and Applications

Fee Structure and Contact:

44,999 INR+ GST

+1800 212 2120

[email protected]

Recommend Read,

 

6. Intellipaat

Intellipaat is one of the leading and renowned online educational platforms that has made its mark in over 155 countries. Through learning Data Analytics courses in Cyprus from Intellipaat, students or working professionals receive great help to reach a good career mark in this digital world.

Our course collaborations with top universities and big MNCs like EICT IIT Guwahati, EICT IIT Roorkee, IIM Ranchi, IIT Jammu, LSBU, IITM Pravartak, University of Liverpool, University of Essex, Microsoft, IBM, etc.

Our faculty provides technical support and services to students to understand and apply the skills necessary. In the new age of technology growing globally, we enable a digital ecosystem to flourish.

Skills to Master:

SQL, Data Visualization, Data Analysis, Time Series, Machine Learning, PowerBI, Data Wrangling, Advanced Statistics, R Programming, Data Mining, and Prediction Algorithms.

Tools to Master:

KNIME, Excel, SQL, Presto, Python

Course Highlights:

❖    218 Hours of Self-Paced Learning

❖    24*7 Support

❖    50+ Live sessions across 7 months

❖    Learn from IIT Faculty & Industry Practitioners

❖    No Cost EMI Option

❖    Designed for Freshers & Working Professionals

❖    50+ Industry Projects & Case Studies

❖    Resume Preparation and LinkedIn Profile Review

❖    One-on-one with Industry Mentors

❖    400 Hours of Applied Learning

❖    1:1 Mock Interview

❖    3 Days of campus immersion at IIT Roorkee

❖    Placement Assistance

The Course Curriculum is as Follows:

★    Module 1: SQL

★    Module 2: Performance Metrics

★    Module 3: Data Modelling

★    Module 4: Time Series Forecasting

★    Module 5: Python

★    Module 6: Machine Learning

★    Module 7: Data Analytics Capstone Project

★    Module 8: Statistics And Probability

★    Module 9: Business Case Studies

★    Business Problem Solving, Insights and Storytelling

Elective

★    Module 11: Visualizations using PowerBI

★    Module 12: Microsoft Excel

➔   Job Readiness

Contact:

India

6th Floor, Arekere Gate Junction, Primeco Towers, Bannerghatta

Main Road, Bengaluru, Karnataka 560076

+91 7022 37 4614

USA

Intellipaat INC

300 Delaware Ave Ste 210-207

Wilmington, De 19801

 

7. CIIM Cyprus International Institute and Management

Data Analytics Courses in Cyprus offered by CIIM Cyprus International Institute and Management offer a diverse set of skills and knowledge for participants to learn Data Analytics in the digital eco-system. Our faculty offers great resources and help them to understand the insights of the course. In today’s modern-day world, Data Science is high in demand for tech-savvy corporate employees.

Data Analytics helps them make better decisions and work efficiently. We offer particular emphasis on participants learning practical skills for data analytics, real-life case studies and materials are given to get more practical experience. Career guidance and placement are offered with the course.

Program Structure

  • Data Mining, Decision Making and Visualization
  • Managing Big Data
  • Programming for Business Analytics
  • Database Management and Cloud Computing
  • Information Security Management for Business
  • Foundations of Business Information Technology

Fee Structure & Duration:

1 year course

8,500 EUR / 7,69,827 INR (Tuition Fees)

579.20 EUR / 52,167 INR (Living Costs)

Contact & Location:

21 Glafkou Kleride Avenue

2107 Aglandjia, Nicosia-Cyprus

+357 22462246

[email protected]

 

FAQs

Q) Are online Data Analytics courses in Cyprus worth it?

Yes, certain online data analytics courses are certified and offer great career exposure and you can learn in the comfort of your home and helpful for working professionals.

Q) How will the Data Analytics course benefit my career?

Data Analysts are in high demand with opportunities in fields such as technology, healthcare, finance, and marketing to enhance career growth.

Q) What tools will I learn to use?

Python, R Programming, Excel, Tableau, and other software tools are included.

Q) What Important topics will learn in Data Analytics courses in Cyprus?

Data Visualization, Statistical Analysis, SQL, Python, Excel, R Programming, Data Cleaning, and Data Collection.

 

Conclusion:

The main aim of learning data analytics courses in Cyprus is to not just rely on your gut feeling but also take statistical analysis and technologies for solving complex problems. In this fast-growing digital world, learning data analytics helps an organization build efficiency, and profit status, and make good strategic decisions.

Learning Data analytics helps reach a good career margin and you get a vast spread of opportunities offered by big companies, organizations, and businesses. Learning Data Analytics gives a systematic insight into evaluating data, competitive edge, and much more to learn.

Top 10 Data Analytics Courses In Sweden With Placements

Welcome to the gateway of data-driven excellence in Sweden! If you are looking to enhance your data analytical skills, Sweden offers a wide variety of top-notch courses tailored to meet your needs. We have curated the best list of the top 10 data analytics courses in Sweden, each of which is designed to give you the brilliant experience necessary to excel in this field. Join us as we embark into the details of the top 10 courses of data analytics in today’s rapidly growing and evolving digital world of this modern world.

 

DATA ANALYTICS COURSES IN SWEDEN

Before we begin with the best data analytics courses in Sweden, let us have a small briefing on big data and data analytics.

 

Why Take Big Data and Data Analytics?

Data is emerging as the world’s newest resource for competitive advantage among nations, organizations, and businesses. The concept of Big Data is quite an old thing. It dates back to 2000 When it was described in terms of its huge volume, the extremely high velocity with which it is created and the diversity of sources that create and share this data.

 

 

Students Learn Many Benefits:

  • Encourage Innovation and Decision-making

It eliminates guesswork and manual tasks. Be it choosing the right content, planning marketing campaigns, or developing new products. Organizations or companies can use the strategies acquired from data analytics to make good decisions. Thus, leading to better outcomes and satisfaction of the customer.

  • Increases the Efficiency

Data analysis can improve the effectiveness of simulations to know future risks and make better planning.

  • Effective Marketing

Data analytics gives you valuable solutions to how your campaigns are performing.

Explore more about the in-demand:

 

Top 10 Data Analytics Courses In Sweden With Placements

 

1. IIM SKILLS

IIM SKILLS is the world’s fastest-growing Ed-Tech company. It is one of the most renowned Ed-Tech offering courses in the online industry. With their headquarters located in New Delhi, India. IIM SKILLS has its hubs in 23 cities in Asia including Dubai, and Singapore offering various courses with an easy-going curriculum in educational fields. Their ties with Meta, Google, and other enterprises from India also boost job opportunities. IIM SKILLS has valid recognition from delegated bodies.

Course Details:

Name:  Data Analytics Course

Duration: 6 Months Of Training + 2 Months Internship (optional)

EMI: Interest Free

Certification: Yes

Fees- 6419.99 Swedish Krona + Taxes

The Data Analytics Curriculum Offers:

  1. Basic and Advanced Excel
  • Introduction to Data Handling
  • Data Visualization
  • Data Manipulation ● Data Analysis and Reporting ● Overview of Dashboards
  1. Data Analytics using VBA
  • Introducing VBA
  • Programming constructs in VBA
  • Key components of programming language
  • How VBA works in Excel
  • Objects and memory in VBA
  • Functions and procedures in VBA Modularising your programs ● Communicating with your users
  1. Data Analytics using SQL
  • Basics RDBMS concepts
  • Utilizing the Object Explorer
  • Data-based object creation (DDL commands)
  • Data Manipulation (DML commands)
  • SQL server reporting services
  • SQL server integration services
  1. Data Analytics Using Python
  • Introduction to basic statistics
  • Introduction to Mathematical Foundations
  • Introduction to analytics and data science
  • Python Essentials (Core)
  • Operations with NumPy (Numerical Python)
  • Overview of Pandas
  • Cleansing data with Python
  • Data analysis using Python
  • Basic visualization tools
  • Visualising Geospatial Data
  • Data Visualization with Python
  • Advanced visualization tools
  • Statistical Methods and hypothesis testing
  1. Data Analytics Using Power BI
  • Introducing Power BI
  • Data preparation and modeling
  • Data analysis expressions (DAX)
  • Reports development (Visuals in Power BI)
  1. Data Analytics Using Tableau
  • Getting Started
  • Data handling and summary
  • Data handling and summary 2
  • Building advanced Reports/ Maps
  • Table calculations
  • Calculated field
  1. R for Data Science
  • Data importing/ exporting
  • Data manipulation
  • Data manipulation 2
  • Data analysis
  • Data visualization with R
  • Using R with database
  • Introduction to statistics
  • Linear regression: solving regression problems
  • Testing
  1. Data Analysis using Alteryx
  • General Overview of the course with fundamental concepts
  • Using the select tool for renaming fields and changing the data type
  • Understanding the user environment and Alteryx settings
  • Remove the data set
  • Connect to the data source
  • Alteryx designer interface
  • Set data field types
  • User and workflow settings
  • Remove and Rename fields
  • Filtering data/ Data processing
  • S blending/ Join data from different sources
  • Filtering using String data
  • Finding customers with 10 or more than10 transaction histories
  • Transpose, dynamic rename, and input data, and text to columns ● Identify common data fields
  • See how all records fit the filter
  • Data cleansing
  • Input values
  • Random sample

Eligibility Criteria for Individuals Such as:

⮚ Fresh Graduates

⮚ IT Professionals

⮚ Sales Professionals

⮚ Banking and Finance Professionals

⮚ UG/PG Students

⮚ Supply Chain Network Managers

⮚ Marketing Managers

Benefits and Highlights of Taking course at IIM SKILLS:

▪ Trained by Industry Experts

▪ Career Empowerment

▪ Internship Opportunities

▪ Certification of completion from IIM SKILLS

▪ Window for Placement

▪ 100+ Hours of practical assignment

▪ 160 hours of live teaching/ lectures

▪ 16 hands-on projects

List of other Professional Courses from IIM SKILLS

 

Contact Details:

Contact: +91 9580 740 740

Email: [email protected]

Website: www.iimskills.com

Look no further to find the Advanced:

 

2. Lund University

Lund University’s Data Analytics and Business Intelligence course focuses on giving the best and most profound knowledge and skills to students needed to extract insights from data to drive business and decision-making. The course curriculum offers a variety of topics, including data analysis techniques, business intelligence tools, and analytics.

Students learn how to gain competitive knowledge to solve complicated business problems through lecturers, study material, and practical exercises. The Programme is multidisciplinary and is designed to solve business problems by integrating statistics, informatics, and law.

As a student, you will learn how to manage data, use statistical tools, write your computer code, and incorporate results obtained into strategic decision-making You will develop good communication and collaborative skills through good supervision.

The Curriculum of the Course

Semester One Includes:

  • Introduction to Programming
  • Legal Aspects of Data Analytics
  • Data Visualization
  • Machine Learning from a Regressive Perspective
  • Working with Databases
  • Advanced Machine Learning

Semester Two Includes:

  • Degree Project

Fee Structure:

135.000 SEK/ per year           10,50,684 INR/ per year

Location and Contact:

Tycho Brahe vag 1, 223 63 Lund

+46 46 222 00 00

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3. KTH Royal Institute of Technology

The machine learning and Data Analytics course at KTH Royal Institute of Technology offers students an exclusive one-year journey into the world of data analytics. The curriculum provides students with a solid increased efficiency and productivity, competitive edge, analysis of algorithms, and much more by studying cases and lectures offered by professionals in this institute, with given career opportunities.

The program provides hands-on rigorous training through seminars labs and self-studies. With the right guidance, a student here will excel in acquiring a deeper knowledge of data analytics.

Duration: 1 year (full-time)

Location and Contact:

Brinellvagen 8, 114 28

Stockholm University

+46 8 790 60 00

 

4. Uppsala University

Data Analysis at Uppsala University offers students an in-depth understanding of the statistical foundations of data analysis and learning methodologies applied to complex business objectives. Furthermore, they will gain skills to manage data analytics projects through effective communication management skills.

Suitable for recent graduates and for those looking to restart careers, Data analytics provides an ideal pathway for those aspiring to further their careers in data analytics. We welcome learners from any part of the world and all backgrounds, for those who are committed to learning.

This mindful skill set enables them to communicate effectively. We shape their way towards the landscape of the modern world.

Learning Outcomes:

During Data Analytics courses, students learn to identify and discuss ethical issues concerning data analytics. Through programming create new strategies for basic analysis and visualization of data.

The Career Opportunities One Can Avail by Taking Data Analytics Courses in Uppsala University Are:

  • Data Analyst
  • Data Engineer
  • Risk Analyst
  • Marketing Analyst Manager
  • Data Scientist
  • Quantitative Analyst
  • Business Analyst
  • Data Governance Analyst

Duration and Fee Structure:

1.5 years (full-time)

130.750 SEK/ year             10,72,795 INR/ year

Location and Contact:

753 10, Uppsala, Sweden

+46 18 471 0 00

[email protected]

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5. Linkoping University

The Big Data Analytics Course at Linkoping University offers a curriculum that includes Hadoop, Spark, and databases. The course is to provide students with deeper knowledge to understand better.

They will learn how to interpret data to identify patterns, using statistical tools, to provide insights that can be used to improve business processes and operate decision-making. The thought is to build diverse knowledge and experience factors in innovative thinking for the students.

In particular, organizations are searching for analytically talented individuals with statistical and programming skills. These Data Analytics courses in Sweden aim to meet this demand in the labour market.

Location and Contact:

SE-581 83 Linkoping

Sweden

+46 13 281000

[email protected]

 

6.  University of Gothenburg

Data Analytics courses in Sweden offered at the University of Gothenburg have become a hub for data analytics excellence. No prior experience is required, making this course accessible to aspiring analysts from various diverse backgrounds. Upon successful completion, you will receive a prestigious certification that validates your expertise, enhancing your employability in business sectors and beyond.

Through a combination of theoretical learning and practical knowledge skills, students will innovatively learn and thrive around the power to drive value in various sectors. Whether contributing to data-driven decision-making in corporate settings or understanding entrepreneur ventures, Gothenburg University is poised to make a significant impact on students.

Course Structure of the Program:

  • Applied Mathematical Thinking
  • Applied Machine learning
  • Introduction to Data Science and Data Analytics
  • Understanding of Python in Data Science and Data Analytics
  • Computational techniques for large volumes of data
  • Master’s thesis in Data Science and Data Analytics

Eligibility Criteria:

To pursue data analytics courses in Sweden, students with a Bachelor’s or master’s degree in fields such as Mathematics, Statistics, Economics, and Computer Science are eligible to apply for the master’s program in applied data science.

Duration: One Year (Full-time)

Location and Contact:

Universitetsplatsen 1, 405 30

Goteborg Sweden

+46 31 786 00 00

 

7. Karlstad University

At Karlstad University, the Data Analytics course offers students equipping students with essential skills and knowledge in the field of data analytics. Pursuing data analytics courses in Sweden, Students learn real-world case studies and examples are incorporated into the curriculum to provide how data analytics is applied in business aspects.

Personal guidance along with labs, seminars, and exercises conducted by the faculty members who are experts in this field will support students to learn thoroughly. The course at Karlstad University is designed in such a way to meet the demanding growth of data professionals in the tech world of this society. Our University provides students with career opportunities and can pursue roles such as data analyst, data researcher, etc.

Duration: One year (full-time)

Location and Contact:

Universitetsgatan 2, 651 88 Karlstad

+46 54-700 10 00

[email protected]

 

8. Stockholm University

Established in 1878, Stockholm University is one of the prestigious universities. The Data Analytics Program at Stockholm University offers a Data Analytics course to enhance students’ in-depth knowledge and understanding of information regarding businesses and organizing their operations as revenue margins and needs.

Students here benefit from interactions, technical proficiency, and practical experiences. Given the practical projects, industry insights, and skilled professional help provided by our lecturers, the students get a comprehensive education in data analytics. Students emerge as skilled data professionals ready to create value in diverse organizations and industries. Students will be gaining certificates and the university offers placement opportunities in corporate and business fields

It is a one-year master’s course divided into 4 semesters with a detailed program curriculum with the best statistics in Big Data and Data Analytics and is one of the best data analytics courses in Sweden.

Semester One:

  • Foundations of Data Science
  • Decision Analysis Part one
  • Statistics and Data Analysis for Computer and Systems Sciences

Semester Two:

  • Data Mining
  • Decision Analysis Part two
  • Statistical theory and modeling
  • Machine Learning

Semester Three:

  • Risk Analysis
  • Bayesian Learning
  • Reinforcement Learning
  • Business Analytics

Semester Four:

  • Master Thesis

Duration and Fee Structure:

1 year course

90.000- 140.000 SEK               7,01,165- 10,90,371 INR

Location and Contact:

Frescativagen, 114 19 Stockholm, Sweden

+46 8 16 20 00

[email protected]

 

9. Data Analytics Course at Orebro University

Our course here at Orebro University offers to make students explore the techniques of data characteristics and algorithms. Pursuing these data analytics courses in Sweden, makes the students frame their minds to dive deep into decoding any complex code with ease.

Opportunities for internships and placements to gain experience in data analytics roles. Multivariate technique analysis and a much wider range of learning are provided in this course. The curriculum of this course gives a broad spectrum into the world of business and data analysis.

Our course offers online recording of classes for the easy accessibility and comfort of the student. Through theoretical training, many career opportunities are provided. Hands-on teaching given by the mentors and supervisors shapes the learning of the students.

The program is focused on the analysis of data with a foundation in statistical theory and gives a student needed tools to find patterns in large and difficult data sets, or for more accurate statistical modelling to identify casual relationships.

As the only university in Sweden- and one of only two universities in the Nordic countries, for official statistics and big data analytics Orebro University has been awarded the European Master in Official Statistics (EMOS) label by Eurostat, Hence it is one of the best universities to pursue Data Analytics courses in Sweden

The course includes a 15-credit internship course at an agency in the data and statistics field. The internship and the important course work in the EMOS options provide students with the qualifications needed for a career in statistics data analytics courses in Sweden or internationally.

Duration and Course Curriculum:

To pursue these Data Analytics courses in Sweden, the program is for two years duration and leads to a master’s degree (2 years) but there is also an option to exit after one year with a master’s degree (1 year). The course is segregated into 4 semesters each of which consists of 30 ECTS credits on course.

Semester One:

  • Data Visualization
  • Programming in data languages such as R and Python
  • Database management
  • Courses in Mathematics
  • Probability Theory
  • Inference Theory

Semester Two:

  • Courses in econometrics
  • Computer- Intensive methods
  • First Thesis (15 ECTS credits)

Semester Three:

  • Machine learning
  • Bayesian statistics
  • Survey sampling theory
  • Additional optional courses (15 ECTS credits)

Semester Four:

  • Opportunity to do an internship
  • Second Thesis (15 ECTS credits)

Location and Contact:

Fakultetsgaten 1,

SE- 701 82, Orebro, Sweden

+46 19 30 30 00

[email protected]

 

10. Data Analytics Training at Jonkoping University

Taking up data analytics courses in Sweden, this program offers a flexible part-time format that allows students to balance their studies with their other commitments. Through a combination of online lectures, case studies, and projects, students gain knowledge to fulfil their roles in real life which will help boost their careers.

The students will learn step by step regarding business analytics, as the online course offers various post recordings of the lectures, If a class is missed can be accessed to understand the study materials. Students gain profound education and explore their curiosities over the course.

The program is offered in English and you study with people from different backgrounds and cultures from around the world, all with a common focus on a career in big data and data analytics. The teachers here have professional experience and a wide network of contacts, internationally within academics and with employers in Sweden.

The training emphasizes the ability to communicate and collaborate, so the students can identify the organization’s information needs and the prerequisites for the analytical survey or data analysis, to be able to communicate the selected approaches and results by choosing to study these data analytics courses in Sweden..

It is a Two-year Course With the Below Course Syllabus:

First-year Includes:

  • Advanced Mathematics for Economics
  • Advanced Microeconomics
  • Advanced Macroeconomics
  • Applied Econometrics
  • Applied Economics for decision-making

Second-year Includes:

  • Predictive Analysis with Machine Learning
  • Programming and Big Data Analytics
  • Internship in Economics- Master Level
  • Master Thesis in Economics

Eligibility Criteria:

To pursue these data analytics courses in Sweden, the applicant must hold a bachelor’s degree (that is equivalent to 180 ECTS credits at an accredited university). The learning students must have at least 60 credits in Economics.

Location and Contact:

SE-581 83 Linkoping, Sweden

+46 13 281000

[email protected]

 

FAQs:

Q)  Can these courses be taken online?

For working professionals or those who are unable to attend in-person classes some of these institutions offer online or hybrid options as per the flexibility.

Q)  How can I apply for these courses?

Individuals can visit the website of the institutions for specific applications or processes to enroll as it may differ with each institution.

Q) What career and job opportunities are available after completing these courses?

Roles as a data analyst, business analyst, scientist, and many more wide range of opportunities are provided.

Q) Eligibility to take a data analytics course?

It varies to different institutions. However, a background in mathematics and computer science may help.

 

Conclusion

With beautiful alps and landscapes, and the breathtaking ecosystem of Sweden, come embark on a journey to enhance your analytical skills and thrive in the field of Data Analytics. Get all the expertise required to learn and nourish in this modern world.

From basic concepts to advanced techniques, these programs will give you the height to reach success. Choose a program that aligns with your requirements for your journey towards new learning. Challenging your brain to think analytically and find solutions that are helpful in professional life.

The scope of our university is to provide necessary education on how to interpret complex problems and bring out solutions. With so many organizations looking to capitalize on data analysis to improve their processes, hence it’s a great source to start a career in this field. Students get an opportunity to leverage insight from data analytics.