DATA ANALYST CERTIFICATION AUTHORITIES

COURSE FEATURES

DATA ANALYST LEAD MENTORS

DATA ANALYST COURSE FEE IN ITALY

Live Virtual

Instructor Led Live Online

Euro 1,850
Euro 1,055

  • 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

Euro 930
Euro 604

  • 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 ITALY

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 ITALY

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 ITALY

DATA ANALYST COURSE REVIEWS

ABOUT DATA ANALYST TRAINING IN ITALY

The Data Analyst course in Italy provides essential skills in data analysis, unlocking diverse career opportunities in industries such as finance, healthcare, and technology. 

According to an Acumen Reserach and Consulting report, the worldwide market for data analytics reached USD 31.8 billion In 2021, and it is anticipated to expand significantly, reaching a market size of USD 329.8 billion by 2030, with a remarkable compound annual growth rate (CAGR) of 29.9% from 2022 to 2030. As the Data Analytics Industry in Italy expands it offers professionals the chance to actively participate in this dynamic field, aligning seamlessly with the rising momentum of the global data analytics market.

DataMites, a renowned global institution, unveils a thorough 6-month Certified Data Analyst Training Course in Italy. Encompassing crucial subjects like No-code, MySQL, Power BI, Excel, and Tableau, the program delivers a comprehensive 200-hour educational journey. What sets the institute apart is its international endorsement from IABAC, guaranteeing participants a globally acknowledged certification upon successful fulfilment. Leveraging a decade of proficiency, DataMites has effectively coached more than 50,000+ learners globally.

Delivering online data analyst training in Italy, DataMites provides crucial insights into the field, coupled with internship support and initiatives, making a substantial impact on the overall career progression of students.

DataMites takes pride in presenting a meticulously designed Certified Data Analyst Training in Italy, structured into three well-defined phases:

Phase 1: Pre-Course Self-Study

Initiate your educational journey with high-quality videos, employing an easily understandable learning approach.

Phase 2: 3-Month Duration

Immerse yourself in live training sessions, dedicating 20 hours per week to an extensive syllabus. Participate in hands-on projects under the guidance of seasoned trainers and mentors.

Phase 3: 3-Month Duration

Elevate your skills through project mentoring, completing 10 capstone projects, engaging in real-time internships, and contributing to a live client project. Attain IABAC and data analytics internship certifications in Italy, reinforcing your expertise in the dynamic field of Data Analytics.

DataMites introduces its accredited data analyst course in Italy, providing a comprehensive learning experience enriched with distinctive features.

Leadership Excellence: Under the guidance of Ashok Veda, a seasoned professional with over 19 years in Data Analytics and AI, our program ensures expert leadership.

Program Highlights: Immerse yourself in a 6-month No-Code Program, dedicating 20 hours weekly for a total of 200+ learning hours.

Certification Achievement: Attain IABAC® Certification, validating your expertise on a global scale.

Flexible Learning: Experience flexibility with online Data Analytics courses in Italy and self-study options.

Practical Exposure and Hands-on Experience: Engage in hands-on projects involving real-world data, including 10 capstone projects and 1 client/live project. Enrich your practical expertise in data analytics with our well-organized data analyst courses with internship opportunities in Italy, offering valuable industry experience.

Career Support: Benefit from comprehensive job assistance, personalized resume crafting, data analytics interview preparation, and ongoing job updates.

Community Connection: Join an exclusive learning community, promoting collaboration and knowledge exchange.

Cost-effectiveness: Choose from affordable pricing options, with data analytics course fees in Italy ranging from EUR 292 to EUR 1,210.

Italy, known for its rich history, art, and culture, captivates visitors with iconic landmarks like the Colosseum and the Leaning Tower of Pisa. Additionally, its diverse economy thrives in industries such as fashion, design, and tourism.

Italy boasts a well-developed education system, with renowned universities like the University of Bologna and Sapienza University of Rome contributing to the country's intellectual prowess and innovation.

The scope for data analytics in Italy is burgeoning, with industries increasingly relying on data-driven insights for decision-making. The demand for skilled data analysts is on the rise as businesses recognize the crucial role data analytics plays in gaining a competitive edge and fostering innovation. Moreover, according to a Glassdoor report, the data analyst's salary in Italy ranges from EUR 32,003 per month.

Explore beyond our exceptional Data Analytics program to discover a diverse range of courses, including Data Science, Machine Learning, Artificial Intelligence, Data Engineering, Tableau, Python, and more. At DataMites, our dedication to propelling careers has no limits. We're more than an institute; we serve as the doorway to a flourishing future. Enroll with us in Italy, where the intersection of knowledge and opportunity transforms success into tangible achievement.

ABOUT DATAMITES DATA ANALYST COURSE IN ITALY

Data analytics revolves around interpreting and analyzing data to derive insights and facilitate informed decision-making.

A data analyst is tasked with interpreting data, generating reports, and effectively communicating findings to aid organizations in making data-driven decisions.

Proficiency in statistical analysis, data visualization, programming languages (such as Python, R), and database management are essential skills for data analysts.

Data analysts engage in collecting, processing, and analyzing data, creating comprehensive reports, and presenting actionable insights to support business decision-making.

Data analytics presents extensive opportunities across various industries, including finance, healthcare, marketing, and technology.

Key job positions encompass Data Analyst, Business Analyst, Data Scientist, and Machine Learning Engineer.

The future of data analysis involves increased automation, integration of AI, and a growing demand for skilled professionals in the field.

While requirements may vary, a common prerequisite for a data analyst course is a bachelor's degree in a related field.

Crucial tools for data analytics education include Excel, SQL, Python/R, and visualization tools like Tableau.

The field of data analytics is acknowledged as challenging but offers substantial rewards, demanding analytical thinking and continuous learning.

Proficiency in SQL is imperative for data analysts to efficiently query and manipulate databases.

Proficiency in data analytics within six months is attainable through focused learning and practical experience.

The data analyst course fee in Italy in 2024 ranges from Eur 5,000 to Eur 40,000.

Certified Data Analyst courses provide industry-recognized credentials, validating one's skills in data analysis.

Internships are crucial for gaining real-world experience and exposure to industry practices, enhancing the learning process in data analytics.

Projects play a vital role by applying theoretical knowledge to practical scenarios, fostering hands-on experience and skill development.

Data analytics offers a broad career scope, encompassing roles in data engineering, business intelligence, and data science.

While beneficial, Python is not always a necessity for data analysts; however, proficiency in at least one programming language is recommended.

Coding is involved in data analytics, with proficiency in scripting languages being advantageous but not always extensive.

Data analytics is widely considered challenging due to its multidisciplinary nature, yet it presents rewarding career opportunities.

The data analyst's salary in Italy ranges from EUR 32,003 per month according to a Glassdoor report.

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FAQ’S OF DATA ANALYST TRAINING IN ITALY

DataMites stands out for providing high-quality data analyst certification training in Italy, offering tangible evidence of proficiency in data analytics. The program equips participants with essential skills for data interpretation and decision-making, opening doors to lucrative job opportunities with multinational companies. A certification from DataMites not only demonstrates competency but also signifies the ability to meet professional standards in specific job roles, enhancing its value beyond a basic data analytics certificate.

The Certified Data Analyst Course by DataMites is ideal for individuals aspiring to enter the fields of data analytics or data science. With no coding background required, this course is accessible to all, making it particularly suitable for beginners. The well-structured training program ensures a comprehensive understanding of the subject, providing an excellent entry point for those intrigued by analytics.

The Data Analyst Course offered by DataMites in Italy spans approximately 6 months, involving 200+ hours of learning with a commitment of 20 hours of study per week.

The certified data analyst course in Italy includes 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 

Opting for the Certified Data Analyst Course in Italy through DataMites ensures a flexible study environment, a practical curriculum, distinguished instructors, and access to an exclusive practice lab. With lifetime access, continuous growth opportunities, unlimited hands-on projects, and dedicated placement support, DataMites provides a comprehensive and advantageous learning experience for aspiring data analysts.

The Data Analytics course fee in Italy ranges from EUR 292 to EUR 1,210.

The Certified Data Analyst Course in Italy covers a wide 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 program concludes with the Certified Business Intelligence (BI) Analyst module, ensuring participants gain a comprehensive understanding of crucial concepts for a successful career in data analytics.

Yes, DataMites in Italy offers substantial one-on-one support from instructors to enhance participants' understanding of data analytics course content, ensuring an optimal learning experience.

In Italy, DataMites accepts various payment methods, including cash, debit card, credit card (Visa, Mastercard, American Express), check, EMI, PayPal, and net banking, providing participants with flexible options for enrollment and payment.

DataMites in Italy is led by Ashok Veda, a highly esteemed Data Science coach and AI expert. The faculty comprises elite mentors with hands-on experience from prestigious companies and renowned institutes like IIMs, ensuring participants receive exceptional mentorship throughout their learning journey.

The Flexi Pass for Data Analytics Course in Italy allows participants to choose batches that align with their schedules, providing flexibility in training. This option enables learners to tailor the course to their availability, enhancing convenience and accessibility.

Yes, upon successful completion of the Certified Data Analyst Course in Italy at DataMites, participants receive the esteemed IABAC Certification, validating their expertise in data analytics and enhancing their credibility in the industry.

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

DataMites provides flexibility with options like Online Data Analytics Training in Italy or Self-Paced Training. Participants can choose between instructor-led online sessions or self-paced learning, both of which offer a comprehensive and accessible educational experience tailored to individual needs.

If a participant misses a data analytics session in Italy, DataMites provides recorded sessions, allowing individuals to catch up on the missed content at their convenience. This flexibility supports continuous learning and mitigates the impact of occasional absence.

To attend DataMites' data analytics training in Italy, 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 Italy, DataMites organizes personalized data analytics career mentoring sessions, where experienced mentors provide guidance on industry trends, resume building, and interview preparation. These sessions focus on individual career goals, ensuring participants receive customized advice for navigating the dynamic landscape of data analytics.

The Certified Data Analyst Course offered by DataMites is highly valuable in Italy, standing out as the most comprehensive non-coding course available. It caters to individuals from non-technical backgrounds, offering a unique combination of a 3-month internship, an experience certificate, expert training, and ultimately leading to the prestigious IABAC Certification.

Yes, DataMites in Italy offers an internship alongside the Certified Data Analyst Course through exclusive collaborations with prominent Data Science companies. This practical experience allows learners to apply their knowledge in creating real-world data models, benefiting businesses and providing expert guidance from DataMites.

DataMites in Italy 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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