DATA ANALYST CERTIFICATION AUTHORITIES

COURSE FEATURES

DATA ANALYST LEAD MENTORS

DATA ANALYST COURSE FEE IN ZAGREB, CROATIA

Live Virtual

Instructor Led Live Online

KN 11,090
KN 6,292

  • IABAC® Certification
  • 6-Month | 200+ Learning Hours
  • 20 HOURS LEARNING A WEEK
  • 10 Capstone & 1 Client Project
  • 365 Days Flexi Pass + Cloud Lab
  • Internship + Job Assistance

Blended Learning

Self Learning + Live Mentoring

KN 5,550
KN 3,607

  • Self Learning + Live Mentoring
  • IABAC® Certification
  • 1 Year Access To Elearning
  • 10 Capstone & 1 Client Project
  • Job Assistance
  • 24*7 Learner assistance and support

Corporate Training

Customize Your Training


  • Instructor-Led & Self-Paced training
  • Customized Learning Options
  • Industry Expert Trainers
  • Case Study Approach
  • Enterprise Grade Learning
  • 24*7 Cloud Lab

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UPCOMING DATA ANALYST ONLINE CLASSES IN ZAGREB

BEST DATA ANALYTICS CERTIFICATIONS

The entire training includes real-world projects and highly valuable case studies.

IABAC® certification provides global recognition of the relevant skills, thereby opening opportunities across the world.

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WHY DATAMITES INSTITUTE FOR DATA ANALYST COURSE

Why DataMites Infographic

SYLLABUS OF DATA ANALYST COURSE IN ZAGREB

MODULE 1: DATA ANALYSIS FOUNDATION

• Data Analysis Introduction
• Data Preparation for Analysis
• Common Data Problems
• Various Tools for Data Analysis
• Evolution of Analytics domain

MODULE 2: CLASSIFICATION OF ANALYTICS

• Four types of the Analytics
• Descriptive Analytics
• Diagnostics Analytics
• Predictive Analytics
• Prescriptive Analytics
• Human Input in Various type of Analytics

MODULE 3: CRIP-DM Model

• Introduction to CRIP-DM Model
• Business Understanding
• Data Understanding
• Data Preparation
Modeling, Evaluation, Deploying,Monitoring

MODULE 4: UNIVARIATE DATA ANALYSIS

• Summary statistics -Determines the value’s center and spread.
• Measure of Central Tendencies: Mean, Median and Mode
• Measures of Variability: Range, Interquartile range, Variance and Standard Deviation
• Frequency table -This shows how frequently various values occur.
• Charts -A visual representation of the distribution of values.

MODULE 5: DATA ANALYSIS WITH VISUAL CHARTS

• Line Chart
• Column/Bar Chart
• Waterfall Chart
• Tree Map Chart
• Box Plot

MODULE 6: BI-VARIATE DATA ANALYSIS

• Scatter Plots
• Regression Analysis
• Correlation Coefficients

MODULE 1: PYTHON BASICS

• Introduction of python
• Installation of Python and IDE
• Python Variables
• Python basic data types
• Number & Booleans, strings
• Arithmetic Operators
• Comparison Operators
• Assignment Operators

MODULE 2: PYTHON CONTROL STATEMENTS

• IF Conditional statement
• IF-ELSE
• NESTED IF
• Python Loops basics
• WHILE Statement
• FOR statements
• BREAK and CONTINUE statements

MODULE 3: PYTHON DATA STRUCTURES

• Basic data structure in python
• Basics of List
• List: Object, methods
• Tuple: Object, methods
• Sets: Object, methods
• Dictionary: Object, methods

MODULE 4: PYTHON FUNCTIONS

• Functions basics
• Function Parameter passing
• Lambda functions
• Map, reduce, filter functions

MODULE 1 : OVERVIEW OF STATISTICS 

  • Introduction to Statistics
  • Descriptive And Inferential Statistics
  • Basic Terms Of Statistics
  • Types Of Data

MODULE 2 : HARNESSING DATA 

  • Random Sampling
  • Sampling With Replacement And Without Replacement
  • Cochran's Minimum Sample Size
  • Types of Sampling
  • Simple Random Sampling
  • Stratified Random Sampling
  • Cluster Random Sampling
  • Systematic Random Sampling
  • Multi stage Sampling
  • Sampling Error
  • Methods Of Collecting Data

MODULE 3 : EXPLORATORY DATA ANALYSIS 

  • Exploratory Data Analysis Introduction
  • Measures Of Central Tendencies: Mean, Median And Mode
  • Measures Of Central Tendencies: Range, Variance And Standard Deviation
  • Data Distribution Plot: Histogram
  • Normal Distribution & Properties
  • Z Value / Standard Value
  • Empherical Rule  and Outliers
  • Central Limit Theorem
  • Normality Testing
  • Skewness & Kurtosis
  • Measures Of Distance: Euclidean, Manhattan And MinkowskiDistance
  • Covariance & Correlation

MODULE 4 : HYPOTHESIS TESTING 

  • Hypothesis Testing Introduction
  • P- Value, Critical Region
  • Types of Hypothesis Testing
  • Hypothesis Testing Errors : Type I And Type Ii
  • Two Sample Independent T-test
  • Two Sample Relation T-test
  • One Way Anova Test
  • Application of Hypothesis testing

MODULE 1: COMPARISION AND CORRELATION ANALYSIS

• Data comparison Introduction,
• Performing Comparison Analysis on Data
• Concept of Correlation
• Calculating Correlation with Excel
• Comparison vs Correlation
• Hands-on case study : Comparison Analysis
• Hands-on case study Correlation Analysis

MODULE 2: VARIANCE AND FREQUENCY ANALYSIS

• Variance Analysis Introduction
• Data Preparation for Variance Analysis
• Performing Variance and Frequency Analysis
• Business use cases for Variance Analysis
• Business use cases for Frequency Analysis

MODULE 3: RANKING ANALYSIS

• Introduction to Ranking Analysis
• Data Preparation for Ranking Analysis
• Performing Ranking Analysis with Excel
• Insights for Ranking Analysis
• Hands-on Case Study: Ranking Analysis

MODULE 4: BREAK EVEN ANALYSIS

• Concept of Breakeven Analysis
• Make or Buy Decision with Break Even
• Preparing Data for Breakeven Analysis
• Hands-on Case Study: Manufacturing

MODULE 5: PARETO (80/20 RULE) ANALSYSIS

• Pareto rule Introduction
• Preparation Data for Pareto Analysis,
• Performing Pareto Analysis on Data
• Insights on Optimizing Operations with Pareto Analysis
• Hands-on case study: Pareto Analysis

MODULE 6: Time Series and Trend Analysis

• Introduction to Time Series Data
• Preparing data for Time Series Analysis
• Types of Trends
• Trend Analysis of the Data with Excel
• Insights from Trend Analysis

MODULE 7: DATA ANALYSIS BUSINESS REPORTING

• Management Information System Introduction
• Various Data Reporting formats
• Creating Data Analysis reports as per the requirements

MODULE 1: DATA ANALYTICS FOUNDATION

• Business Analytics Overview
• Application of Business Analytics
• Benefits of Business Analytics
• Challenges
• Data Sources
• Data Reliability and Validity

MODULE 2: OPTIMIZATION MODELS

• Predictive Analytics with Low Uncertainty;Case Study
• Mathematical Modeling and Decision Modeling
• Product Pricing with Prescriptive Modeling
• Assignment 1 : KERC Inc, Optimum Manufacturing Quantity

MODULE 3: PREDICTIVE ANALYTICS WITH REGRESSION

• Mathematics behind Linear Regression
• Case Study : Sales Promotion Decision with Regression Analysis
• Hands on Regression Modeling in Excel

MODULE 4: DECISION MODELING

• Predictive Analytics with High Uncertainty
• Case Study-Monte Carlo Simulation
• Comparing Decisions in Uncertain Settings
• Trees for Decision Modeling
• Case Study : Supplier Decision Modeling - Kickathlon Sports Retailer

MODULE 1: MACHINE LEARNING INTRODUCTION

• What Is ML? ML Vs AI
• ML Workflow, Popular ML Algorithms
• Clustering, Classification And Regression
• Supervised Vs Unsupervised

MODULE 2: ML ALGO: LINEAR REGRESSSION

• Introduction to Linear Regression
• How it works: Regression and Best Fit Line
• Hands-on Linear Regression with ML Tool

MODULE 3: ML ALGO: LOGISTIC REGRESSION

• Introduction to Logistic Regression;
• Classification & Sigmoid Curve
• Hands-on Logistics Regression with ML Tool

MODULE 4: ML ALGO: KNN

• Introduction to KNN; Nearest Neighbor
• Regression with KNN
• Hands-on: KNN with ML Tool

MODULE 5: ML ALGO: K MEANS CLUSTERING

• Understanding Clustering (Unsupervised)
• Introduction to KMeans and How it works
• Hands-on: K Means Clustering

MODULE 6: ML ALGO: DECISION TREE

• Decision Tree and How it works
• Hands-on: Decision Tree with ML Tool

MODULE 7: ML ALGO: SUPPORT VECTOR MACHINE (SVM)

• Introduction to SVM
• How It Works: SVM Concept, Kernel Trick
• Hands-on: SVM with ML Tool

MODULE 8: ARTIFICIAL NEURAL NETWORK (ANN)

• Introduction to ANN, How It Works
• Back propagation, Gradient Descent
• Hands-on: ANN with ML Tool

MODULE 1: DATABASE INTRODUCTION

• DATABASE Overview
• Key concepts of database management
• CRUD Operations
• Relational Database Management System
• RDBMS vs No-SQL (Document DB)

MODULE 2: SQL BASICS

• Introduction to Databases
• Introduction to SQL
• SQL Commands
• MY SQL workbench installation

MODULE 3: DATA TYPES AND CONSTRAINTS

• Numeric, Character, date time data type
• Primary key, Foreign key, Not null
• Unique, Check, default, Auto increment

MODULE 4: DATABASES AND TABLES (MySQL)

• Create database
• Delete database
• Show and use databases
• Create table, Rename table
• Delete table, Delete table records
• Create new table from existing data types
• Insert into, Update records
• Alter table

MODULE 5: SQL JOINS

• Inner join, Outer Join
• Left join, Right Join
• Self Join, Cross join
• Windows Functions: Over, Partition, Rank

MODULE 6: SQL COMMANDS AND CLAUSES

• Select, Select distinct
• Aliases, Where clause
• Relational operators, Logical
• Between, Order by, In
• Like, Limit, null/not null, group by
• Having, Sub queries

MODULE 7: DOCUMENT DB/NO-SQL DB

• Introduction of Document DB
• Document DB vs SQL DB
• Popular Document DBs
• MongoDB basics
• Data format and Key methods
• MongoDB data management

MODULE 1: BIG DATA INTRODUCTION

• Big Data Overview
• Five Vs of Big Data
• What is Big Data and Hadoop
• Introduction to Hadoop
• Components of Hadoop Ecosystem
• Big Data Analytics Introduction

MODULE 2: HDFS AND MAP REDUCE

• HDFS – Big Data Storage
• Distributed Processing with Map Reduce
• Mapping and reducing stages concepts
• Key Terms: Output Format, Partitioners, Combiners, Shuffle, and Sort

MODULE 3: PYSPARK FOUNDATION

• PySpark Introduction
• Spark Configuration
• Resilient distributed datasets (RDD)
• Working with RDDs in PySpark
• Aggregating Data with Pair RDDs

MODULE 4: SPARK SQL and HADOOP HIVE

• Introducing Spark SQL
• Spark SQL vs Hadoop Hive

MODULE 1: TABLEAU FUNDAMENTALS

• Introduction to Business Intelligence & Introduction to Tableau
• Interface Tour, Data visualization: Pie chart, Column chart, Bar chart.
• Bar chart, Tree Map, Line Chart
• Area chart, Combination Charts, Map
• Dashboards creation, Quick Filters
• Create Table Calculations
• Create Calculated Fields
• Create Custom Hierarchies

MODULE 2: POWER-BI BASICS

• Power BI Introduction
• Basics Visualizations
• Dashboard Creation
• Basic Data Cleaning
• Basic DAX FUNCTION

MODULE 3: DATA TRANSFORMATION TECHNIQUES

• Exploring Query Editor
• Data Cleansing and Manipulation:
• Creating Our Initial Project File
• Connecting to Our Data Source
• Editing Rows
• Changing Data Types
• Replacing Values

MODULE 4: CONNECTING TO VARIOUS DATA SOURCES

• Connecting to a CSV File
• Connecting to a Webpage
• Extracting Characters
• Splitting and Merging Columns
• Creating Conditional Columns
• Creating Columns from Examples
• Create Data Model

OFFERED DATA ANALYST COURSES IN ZAGREB

DATA ANALYST COURSE REVIEWS

ABOUT DATA ANALYST TRAINING IN ZAGREB

Data Analyst Course in Zagreb provides essential skills for interpreting and analyzing data. Elevate your professional prospects by mastering data-driven decision-making in this dynamic field. The global data analytics market was valued at $30 billion in 2022, and it is projected to surpass around $393.35 billion by 2032, indicating a potential compound annual growth rate of approximately 29.4% from 2023 to 2032, as per a report from Precedence Research.

The data analytics sector in Zagreb is experiencing substantial growth in line with global trends. The surge in digitization and rising demand for data-driven insights in diverse sectors highlight the imperative for adept professionals capable of maximizing the potential of data.

DataMites, a globally renowned institution, introduces an extensive 6-month Certified Data Analyst Course in Zagreb. This comprehensive 200-hour program covers essential topics such as No-code, MySQL, Power BI, Excel, and Tableau, providing a deeply engaging learning experience. Accredited by IABAC, the institute guarantees an internationally recognized certification upon successful completion, drawing on its decade-long expertise in educating over 50,000+ learners worldwide.

Offering online data analyst training in Zagreb, DataMites provides vital insights into the field. The curriculum, supported by internship opportunities and hands-on projects, significantly contributes to the overall career development of students.

At DataMites, our certified data analyst training in Zagreb unfolds through three distinct phases, ensuring a thorough and well-rounded learning experience.

Phase 1: Preparatory Self-Study

Before commencing the structured training, participants kickstart their educational journey with preparatory self-study. This initial phase grants access to high-quality videos, employing a user-friendly learning approach to establish a robust foundation for subsequent modules.

Phase 2: 3-Month Live Training

In this intensive three-month phase, participants immerse themselves in live training sessions, dedicating 20 hours per week. The program encompasses a comprehensive syllabus, incorporating hands-on projects facilitated by expert trainers and mentors.

Phase 3: 3-Month Project Mentoring and Internship Opportunities

The concluding phase prioritizes practical application. Over three months, participants actively engaged in project mentoring, participating in 10 capstone projects. This stage integrates real-time data analyst internship opportunities in Zagreb, culminating in the successful completion of a client/live project. Participants receive IABAC and Internship Certifications upon completing this phase.

DataMites takes pride in presenting its certified data analyst course in Zagreb, delivering an all-encompassing learning experience enriched with distinctive features.

Guided by Ashok Veda and a Team of Experts:

Under the guidance of Ashok Veda, the Founder & CEO of Rubixe™, a seasoned professional with over 19 years in Data Analytics, DataMites ensures an exceptional educational experience. Ashok Veda's leadership integrates the latest insights from Data Analytics and AI, providing students with invaluable knowledge.

Key Course Features - Mastery in Data Analytics:

Embark on a six-month learning journey with our no-code program (optional Python), dedicating 20 hours weekly for over 200 learning hours. Attain global recognition with the esteemed IABAC® Certification, validating your proficiency in data analytics.

Flexible Learning - Tailored to Your Schedule:

Personalize your learning experience with our flexible online data analytics courses in Zagreb and self-study options. This flexibility empowers you to balance professional commitments while excelling in data analytics.

Practical Experience - Projects and Internships:

Apply your skills to real-world scenarios through 10 capstone projects and a live client project. Our structured data analyst courses with internships in Zagreb provide valuable industry experience, enhancing your practical expertise in data analytics.

Career Support and Networking:

Beyond education, DataMites offers comprehensive job assistance, personalized resume crafting, data analytics interview preparation, and continuous updates on job opportunities. Connect with a network of industry professionals through our job references, positioning you for success in your Data Analytics Career.

Exclusive Learning Community at DataMites:

Become part of our vibrant and exclusive learning community. Engage with peers, share insights, and collaborate in an environment fostering continuous learning and growth.

Affordable Pricing and Scholarships:

Access quality education with our affordable pricing structure for Data Analytics Course Fees in Zagreb, ranging from HRK 2,961 to HRK 9,107. Explore scholarship opportunities to support your educational journey and join DataMites for a future enriched with data analytics expertise.

Zagreb, the capital of Croatia, captivates with its charming blend of historic architecture and vibrant street life. Its economy thrives on a diverse mix of industries, including tourism, technology, and trade, contributing to the city's dynamic and resilient economic landscape.

The scope for data analytics in Zagreb is burgeoning as businesses recognize its pivotal role in making informed decisions. With a growing demand for skilled professionals, the city offers promising opportunities for those pursuing a career in the field of data analytics. Moreover, the salary of a data analyst in Zagreb is 23,000 per month according to a Glassdoor report.

Embark on a transformative educational journey with DataMites Institute's accredited data analyst course in Zagreb. Our meticulously designed programs provide essential skills for success in the dynamic field of data analytics. Enroll at DataMites today to become a valuable contributor to the evolving landscape of data analytics, offering diverse courses in Artificial Intelligence, Tableau, Python, MlOps, Machine Learning, Data Science, Deep Learning, and Data Mining for a comprehensive skill development experience.

ABOUT DATAMITES DATA ANALYST COURSE IN ZAGREB

Data analytics involves the meticulous examination and interpretation of data to uncover valuable insights, facilitating well-informed decision-making processes.

In their capacity, data analysts are tasked with interpreting data, crafting reports, and effectively communicating findings to support organizations in making data-driven decisions.

Critical skills for a data analytics career encompass proficiency in statistical analysis, programming languages like Python or R, data visualization, and adeptness in database management.

Data analysts are engaged in collecting, processing, and analyzing data, ultimately generating comprehensive reports that provide actionable insights to guide strategic business decision-making.

Data analytics opens doors to a variety of career opportunities across industries such as finance, healthcare, marketing, and technology.

Key job positions in data analytics include roles such as Data Analyst, Business Analyst, Data Scientist, and Machine Learning Engineer.

The future of data analysis is expected to involve increased automation, integration of AI technologies, and a growing demand for skilled professionals to navigate evolving data landscapes.

While requirements may vary, a common minimum qualification for a data analytics course is the attainment of a bachelor's degree in a relevant field.

Essential tools for learning data analytics encompass Excel, SQL, programming languages like Python/R, and visualization tools such as Tableau.

Embarking on a data analytics course can be both challenging and fulfilling, demanding analytical thinking and a commitment to continuous learning.

Data science encompasses a broader skill set, including machine learning and programming, whereas data analytics is specifically focused on interpreting and analyzing data for business insights.

According to data from Glassdoor, data analysts in Zagreb earn an average annual salary of HRK 38,169.

Emerging trends in data analytics in Zagreb include the increasing adoption of AI, advanced analytics, and a heightened emphasis on data privacy and security.

Present trends in the Zagreb data analytics job market involve a growing demand for professionals skilled in machine learning, data visualization, and big data technologies.

Certainly, coding is often integral to data analytics, especially in languages like Python or R. Proficiency in coding enhances efficiency in tasks such as data cleaning, manipulation, and analysis.

The COVID-19 pandemic has accelerated digital transformation, leading to an increased reliance on data analytics for decision-making and crisis management in Zagreb.

In Zagreb's healthcare sector, data analytics plays a crucial role in improving patient outcomes, optimizing resources, and enhancing overall healthcare management.

Zagreb startups integrate data analytics to gain insights into customer behavior, drive product development, and improve operational efficiency, positioning themselves competitively in the market.

Data analytics fuels innovation in the Zagreb economy by enabling businesses to make informed decisions, identify market trends, and strategize effectively.

Certainly, data analytics is acknowledged as a challenging field, requiring expertise in statistics, programming, and domain knowledge. Analyzing extensive datasets and extracting meaningful insights demands critical thinking and problem-solving skills, making it a dynamic and complex discipline. The continuous learning curve in this rapidly changing field is amplified by the need to stay abreast of evolving technologies and methodologies.

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FAQ’S OF DATA ANALYST TRAINING IN ZAGREB

DataMites' Certified Data Analyst Course in Zagreb stands out for its exceptional quality, providing concrete evidence of your expertise in data analytics. This program not only equips you with crucial skills for data interpretation and decision-making but also opens doors to lucrative opportunities with well-known multinational companies. Going beyond a basic data analytics certificate, a certification from DataMites signifies your competence and ability to meet professional standards, adding significant value to your credentials.

The Certified Data Analyst Course in Zagreb offered by DataMites is tailored for individuals aspiring to enter the realms of data analytics or data science. With no coding prerequisites, this course ensures inclusivity, making it accessible to everyone. The well-structured training program guarantees a comprehensive understanding of the subject, making it particularly suitable for beginners. Enrolling in this course provides a fantastic opportunity for those curious about analytics to delve deep into the field.

DataMites' Data Analyst Course in Zagreb spans approximately 6 months, comprising over 200 hours of learning, with a recommended commitment of 20 hours per week.

The data analyst certification course in Zagreb encompasses instruction on the following tools:

  • MySQL
  • Anaconda
  • MongoDB
  • Hadoop
  • Apache PySpark
  • Tableau
  • Power BI
  • Google BERT
  • Tensor Flow
  • Advanced Excel
  • Numpy
  • Pandas
  • Google Colab
  • GitHub
  • Atlassian BitBucket 

Selecting DataMites for the Certified Data Analyst Course in Zagreb guarantees an exceptional learning journey. Participants experience a flexible study environment, a curriculum crafted for practical applications, esteemed instructors, and access to an exclusive practice lab, nurturing a thriving learning community. The program offers lifetime access, enabling continuous growth through unlimited hands-on projects. Supported by dedicated placement assistance, DataMites establishes itself as a comprehensive and advantageous choice for individuals aiming to build a career in data analytics.

The DataMites' Data Analytics course fee in Zagreb ranges from HRK 2,961 to HRK 9,107.

The Certified Data Analyst Course in Zagreb by DataMites covers a diverse range of subjects, including Data Analysis Foundation, Statistics Essentials, Data Analysis Associate, Advanced Data Analytics, Predictive Analytics with Machine Learning, Database: SQL and MongoDB, Version Control with Git, Big Data Foundation, and Python Foundation. The curriculum culminates in the Certified Business Intelligence (BI) Analyst module, ensuring a comprehensive understanding of crucial concepts for a successful career in data analytics.

Certainly, in Zagreb, DataMites ensures substantial one-on-one support from instructors to enhance participants' comprehension of data analytics course content, creating an optimal learning environment.

DataMites in Zagreb accepts various payment methods, including cash, debit card, credit card (Visa, Mastercard, American Express), check, EMI, PayPal, and net banking, providing convenient options for participants to streamline their course enrollment and payment procedures.

DataMites' Certified Data Analyst Course in Zagreb is led by Ashok Veda, a highly esteemed Data Science coach and AI expert. The team comprises elite mentors and faculty members with hands-on experience from prestigious companies and renowned institutes like IIMs, ensuring exceptional mentorship and guidance for participants throughout their learning journey.

The Flexi Pass in DataMites' Data Analytics Course in Zagreb offers participants the flexibility to choose batches that align with their schedules. This adaptable option allows learners to customize the course to their availability, enhancing convenience and accessibility.

Certainly, upon successful completion of DataMites' Certified Data Analyst Course in Zagreb, participants receive the prestigious IABAC Certification. This widely recognized certification validates their proficiency in data analytics, bolstering their credibility in the industry.

DataMites adopts a results-driven approach in its Certified Data Analyst Course in Zagreb, incorporating hands-on practical sessions, real-world case studies, and industry-relevant projects. This immersive methodology ensures participants not only grasp theoretical concepts but also acquire practical skills, preparing them effectively for the dynamic field of data analytics.

DataMites offers flexibility with options like Online Data Analytics Training in Zagreb or Self-Paced Training. Participants can choose the mode that suits their learning preferences and schedule, whether through instructor-led online sessions or self-paced learning, ensuring a comprehensive and accessible educational experience tailored to individual needs.

In the event of a missed data analytics session in Zagreb, DataMites provides recorded sessions, allowing individuals to catch up on the content at their convenience. This flexibility supports continuous learning and minimizes the impact of occasional absence.

To attend DataMites' data analytics training in Zagreb, participants need to bring a valid photo ID, such as a national ID card or driver's license. This is essential for obtaining the participation certificate and scheduling any relevant certification exams.

In Zagreb, DataMites organizes personalized data analytics career mentoring sessions, where experienced mentors provide guidance on industry trends, resume building, and interview preparation. These interactive sessions focus on individual career goals, ensuring participants receive customized advice to navigate the dynamic landscape of data analytics successfully.

The Certified Data Analyst Course in Zagreb offered by DataMites holds immense value as the most comprehensive non-coding course available, catering to individuals from non-technical backgrounds. The program offers a unique combination of a 3-month internship in an AI company, an experience certificate, and training by expert faculty, ultimately leading to the prestigious IABAC Certification.

Certainly, DataMites in Zagreb offers an internship alongside the Certified Data Analyst Course through exclusive collaborations with prominent Data Science companies. This exceptional opportunity allows learners to apply their knowledge in creating real-world data models, benefiting businesses. Expert guidance from DataMites ensures a meaningful and practical internship experience.

DataMites in Zagreb incorporates live projects into the data analyst course, comprising 5+ Capstone Projects and 1 Client/Live Project. This hands-on experience ensures participants can apply their skills in real-world scenarios, enhancing practical proficiency and industry readiness.

The DataMites Placement Assistance Team(PAT) facilitates the aspirants in taking all the necessary steps in starting their career in Data Science. Some of the services provided by PAT are: -

  • 1. Job connect
  • 2. Resume Building
  • 3. Mock interview with industry experts
  • 4. Interview questions

The DataMites Placement Assistance Team(PAT) conducts sessions on career mentoring for the aspirants with a view of helping them realize the purpose they have to serve when they step into the corporate world. The students are guided by industry experts about the various possibilities in the Data Science career, this will help the aspirants to draw a clear picture of the career options available. Also, they will be made knowledgeable about the various obstacles they are likely to face as a fresher in the field, and how they can tackle.

No, PAT does not promise a job, but it helps the aspirants to build the required potential needed in landing a career. The aspirants can capitalize on the acquired skills, in the long run, to a successful career in Data Science.

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