DATA ANALYST CERTIFICATION AUTHORITIES

COURSE FEATURES

DATA ANALYST LEAD MENTORS

DATA ANALYST COURSE FEE IN BELGIUM

Live Virtual

Instructor Led Live Online

Euro 1,860
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 BELGIUM

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 BELGIUM

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 BELGIUM

DATA ANALYST COURSE REVIEWS

ABOUT DATA ANALYST TRAINING IN BELGIUM

The Data Analyst course in Belgium offers comprehensive training in data analysis techniques and tools, preparing individuals to meet the growing demand for skilled professionals in various industries, from finance to healthcare, driving career opportunities in Belgium's thriving data-driven economy. As per a report by Maximise Market Research, the Data Analytics Market reached a valuation of USD 41.74 billion in 2022. Projections indicate a robust growth of 29.47% from 2023 to 2029, with the sector's total revenue forecasted to soar to around USD 245.53 billion. Experiencing notable expansion, the Data Analytics Industry in Belgium closely reflects global patterns. The escalating emphasis on data-driven decision-making across various sectors has heightened the need for adept professionals well-versed in the nuances of data analysis.

DataMites, an esteemed global institution, is introducing its extensive 6-month Certified Data Analyst Course in Belgium. This 200-hour program covers vital subjects including No-code, MySQL, Power BI, Excel, and Tableau, providing a thorough and engaging learning journey. Accredited by IABAC, the institute guarantees an internationally recognized certification, drawing upon a decade of expertise and a successful track record of educating over 50,000+ learners worldwide.

In delivering online data analyst training in Belgium, DataMites offers invaluable insights into the field. With internship support and project opportunities woven into the curriculum, the institute facilitates comprehensive career development for its students.

Embark on an immersive learning experience with DataMites' structured data analytics courses in Belgium, featuring three distinct phases for a well-rounded educational journey.

Phase 1: Pre-Course Self-Study

Begin your learning journey with a preparatory phase focused on self-study, leveraging high-quality instructional videos that employ an accessible learning approach to establish a strong foundation for subsequent modules.

Phase 2: 3-Month Live Training

Immerse yourself in an intensive three-month live training phase, dedicating 20 hours per week. Take advantage of a comprehensive syllabus, hands-on projects, and guidance from expert trainers and mentors to deepen your expertise in data analytics.

Phase 3: 3-Month Project Mentoring

Conclude your learning experience with a three-month project mentoring phase, actively engaging in 10 capstone projects. This phase includes a real-time data analyst internship in Belgium and a client/live project, leading to IABAC and Internship Certifications.

Here are the key highlights of DataMites' Certified Data Analyst Course in Belgium:

Expert Guidance by Ashok Veda:

Benefit from the expertise of industry leader Ashok Veda, Founder & CEO at Rubixe™, with over 19 years of experience in Data Analytics and AI, ensuring top-quality education and enhancing your learning experience.

Cutting-Edge Curriculum:

Experience an innovative curriculum featuring a No-Code Program and an optional Python track, offering a comprehensive 6-month learning journey requiring a commitment of 20 hours per week, totaling over 200 learning hours.

Global Certification and Flexible Learning:

Attain industry recognition with IABAC® Certification through a flexible learning approach, seamlessly integrating online data analytics courses in Belgium with self-study options tailored to your schedule.

Hands-On Projects and Internship Opportunities:

Participate in real-world applications through 10 capstone projects and a client/live project, including a valuable internship opportunity for practical experience.

Holistic Career Support:

Receive comprehensive career assistance, including end-to-end job support, personalized resume and data analytics interview preparation, job alerts, and access to DataMites' exclusive learning community for continual growth.

Cost-Effective Pricing and Scholarship Options:

Access high-quality education affordably, with Data Analytics Training Fees in Belgium ranging from EUR 399 to EUR 1,229. Explore scholarship opportunities to enrich your learning journey further.

Belgium, a European gem known for its medieval towns, chocolate, and beer, boasts a rich cultural tapestry and diverse landscapes. Its capital, Brussels, is not only the administrative centre of the European Union but also a hub of international diplomacy and multiculturalism. In addition to its cultural heritage, Belgium is a burgeoning hub for the IT sector, with a thriving ecosystem of startups, research institutions, and multinational tech companies contributing to its innovation landscape.

The future of data analysts in Belgium looks promising, with increasing demand across various industries for their expertise in deriving insights from data to drive decision-making and innovation. As Belgium continues to embrace digital transformation, data analysts will play a pivotal role in shaping the country's economic and technological landscape. Furthermore, the salary of a data analyst in Belgium ranges from EUR 37,616 per year according to a PayScale report.

Join DataMites, the premier institute for top-notch Data Analytics training, and embark on a transformative educational journey. Led by industry expert Ashok Veda, our Certified Data Analyst courses in Belgium guarantee a strong foundation and IABAC Certification for industry recognition.

At DataMites, we go beyond Data Analytics, offering extensive training in Python, Machine Learning, Data Science, Data Engineering, Tableau, Artificial Intelligence, and other cutting-edge technologies. Our comprehensive approach ensures you're well-equipped with the latest tech trends, empowering you with abundant career opportunities in the continuously evolving industry.

ABOUT DATAMITES DATA ANALYST COURSE IN BELGIUM

Data analytics involves exploring and interpreting data to extract valuable insights, enabling informed decision-making.

A data analyst is responsible for deciphering complex datasets, creating reports, and effectively communicating findings to support organizations in adopting data-driven decision-making.

Proficiency in statistical analysis, data visualization, programming languages like Python or R, and expertise in database management are critical for success in a data analytics career.

 

Data analysts collect, process, and conduct thorough analysis of data. They generate comprehensive reports and provide actionable insights to enhance organizational decision-making.

Data analytics offers numerous opportunities in industries such as finance, healthcare, marketing, and technology, allowing professionals to make significant contributions through their analytical skills.

Key roles include Data Analyst, Business Analyst, Data Scientist, and Machine Learning Engineer.

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

While prerequisites may vary, a common requirement for a data analyst course is a bachelor's degree in a relevant field.

Key tools for entering the field of data analytics include Excel, SQL, programming languages like Python/R, and visualization tools such as Tableau.

Pursuing a data analytics course is both challenging and rewarding, requiring analytical skills and a commitment to continuous learning.

Proficiency in SQL is crucial for data analysts to effectively query and manipulate databases.

Gaining proficiency in data analytics within six months is achievable through focused learning and practical application.

The Data Analyst Course fee in Belgium for 2024 ranges from Eur 5,000 to Eur 40,000.

Certified Data Analyst courses confer industry-recognized credentials, validating expertise in the field of data analysis.

Internships are crucial in data analytics education as they provide real-world exposure and hands-on industry experience.

Projects contribute to learning by applying theoretical knowledge to practical scenarios, fostering valuable hands-on experience.

Data analytics opens doors to diverse career opportunities, including data engineering, business intelligence, and data science.

While beneficial, Python is not always mandatory for data analysts; proficiency in at least one programming language is advisable.

Coding is integral to data analytics, but the level of involvement varies; proficiency in scripting languages is advantageous.

Data analytics is recognized as challenging due to its multifaceted nature, yet it offers lucrative career prospects for those navigating its complexities.

The salary of a data analyst in Belgium ranges from EUR 37,616 per year according to a PayScale report.

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FAQ’S OF DATA ANALYST TRAINING IN BELGIUM

DataMites is recognized as the top option for certified data analyst training in Belgium due to its comprehensive program that not only imparts essential data interpretation skills but also opens doors to lucrative career opportunities. The certification from DataMites goes beyond a basic data analytics certificate, signifying the ability to meet professional standards and adding significant value to one's credentials.

The Certified Data Analyst Course in Belgium by DataMites is suitable for individuals aiming to enter the fields of data analytics or data science. This no-coding course is accessible to everyone, regardless of their prior programming experience. The meticulously designed training program ensures a thorough understanding of the subject, making it particularly suitable for beginners interested in exploring the intricacies of analytics.

The Data Analyst Course in Belgium, provided by DataMites, spans approximately 6 months, requiring a commitment of 200+ hours of learning, with an average of 20 hours dedicated to learning each week.

The Certified Data Analyst Course in Belgium encompasses 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 

DataMites offers a top-notch learning experience for the Certified Data Analyst Course in Belgium. With a flexible learning environment, a curriculum focused on real-world applications, distinguished instructors, and an exclusive practice lab, it stands out as a comprehensive choice. The program also provides lifetime access, continuous growth opportunities, unlimited hands-on projects, and dedicated placement support, ensuring a seamless entry into the professional world of data analytics.

The fee for the Data Analytics course in Belgium at DataMites ranges from EUR 393 to EUR 1,209.

The Certified Data Analyst Course in Belgium covers a diverse range of topics, 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, culminating in the Certified Business Intelligence (BI) Analyst module.

Certainly, DataMites in Belgium offers substantial support to enhance participants' comprehension of the data analytics course content, ensuring a clear understanding of the curriculum through dedicated assistance.

In Belgium, DataMites 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 enrollment and payment procedures.

DataMites in Belgium 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 participants receive exceptional mentorship and guidance.

The DataMites' Flexi Pass for the Data Analytics Course in Belgium empowers participants to tailor their training schedules by choosing batches that align with their availability, enhancing convenience and accessibility to accommodate diverse learner preferences.

Successful completion of the Certified Data Analyst Course in Belgium at DataMites leads to the prestigious IABAC Certification, serving as a testament to participants' proficiency in data analytics and enhancing their credibility within the industry.

DataMites adopts a results-driven approach in the Certified Data Analyst Course in Belgium, integrating hands-on practical sessions, real-world case studies, and industry-relevant projects for an immersive learning experience.

DataMites provides flexibility in training options, offering Online Data Analytics Training in Belgium or Self-Paced Training. Participants can choose between instructor-led online sessions or self-paced learning, both ensuring a comprehensive and adaptable educational experience tailored to individual preferences.

In the event of a missed data analytics session in Belgium, DataMites provides recorded sessions, enabling participants to catch up on the content at their convenience, supporting continuous learning.

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

In Belgium, DataMites organizes personalized data analytics career mentoring sessions, where seasoned mentors offer guidance on industry trends, resume building, and interview preparation, ensuring participants receive tailored advice for navigating the dynamic landscape of data analytics.

The Certified Data Analyst Course in Belgium provided by DataMites is highly valuable, standing out as a comprehensive non-coding course suitable for individuals from non-technical backgrounds. The program includes a unique combination of a 3-month internship in an AI company, an experience certificate, and expert faculty training, ultimately leading to the prestigious IABAC Certification.

Indeed, DataMites in Belgium provides an internship alongside the Certified Data Analyst Course through exclusive collaborations with prominent Data Science companies, offering a practical application of acquired knowledge in real-world scenarios.

DataMites in Belgium integrates live projects into the data analyst course, comprising 5+ Capstone Projects and 1 Client/Live Project. This hands-on experience allows participants to 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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