DATA ANALYST CERTIFICATION AUTHORITIES

COURSE FEATURES

DATA ANALYST LEAD MENTORS

DATA ANALYST COURSE FEE IN BRUSSELS, 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

ARE YOU LOOKING TO UPSKILL YOUR TEAM ?

Enquire Now

UPCOMING DATA ANALYST ONLINE CLASSES IN BRUSSELS

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.

images not display images not display

WHY DATAMITES INSTITUTE FOR DATA ANALYST COURSE

Why DataMites Infographic

SYLLABUS OF DATA ANALYST COURSE IN BRUSSELS

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 BRUSSELS

DATA ANALYST COURSE REVIEWS

ABOUT DATA ANALYST TRAINING IN BRUSSELS

The scope for data analysts in Brussels includes analyzing complex datasets, deriving insights, and implementing data-driven strategies to optimize decision-making processes for businesses and organizations operating within the European Union's administrative hub. As per findings from a Precedence Research report, the global data analytics market reached $30 billion in 2022 and is anticipated to surpass $393.35 billion by 2032. The market is projected to experience a robust compound annual growth rate of approximately 29.4% from 2023 to 2032. The growing demand for data-driven insights across diverse sectors underscores the crucial importance of Data Analytics. Those seeking to remain current in this evolving field can capitalize on opportunities for continuous learning, unlocking promising career paths by acquiring proficiency in Data Analytics.

DataMites, a globally renowned institution, launches a comprehensive 6-month Certified Data Analyst Course in Brussels. Spanning 200 hours, the program covers vital subjects like No-code, MySQL, Power BI, Excel, and Tableau, ensuring an immersive and rewarding learning experience. Accredited by IABAC, the institute guarantees an internationally recognized certification, boasting a decade-long history of educating over 50,000+ learners worldwide successfully.

DataMites provides online data analyst training in Brussels, delivering crucial insights into the domain coupled with internship assistance and initiatives. This substantially elevates students' career prospects, facilitating significant career advancement.

DataMites offers a comprehensive data analytics course in Brussels, structured into three distinct phases to ensure a holistic learning journey.

Phase 1: Pre-Course Self-Study

Commence your educational journey with a preparatory phase focused on self-study. Access top-notch instructional videos utilizing an easily understandable approach to lay a solid groundwork for upcoming modules.

Phase 2: 3-Month Live Training

Immerse yourself in an intensive three-month live training segment, dedicating 20 hours per week. Benefit from a comprehensive curriculum, engage in practical projects and receive guidance from seasoned trainers and mentors.

Phase 3: 3-Month Project Mentoring

Conclude your learning experience with a three-month project mentoring phase. Participate in 10 capstone projects, including a real-time data analyst internship in Brussels and a client/live project. This phase culminates in IABAC and Internship Certifications.

Explore the highlights of DataMites' Certified Data Analyst Course in Brussels:

Guidance by Industry Leader Ashok Veda:

Benefit from the expertise of Ashok Veda, Founder & CEO at Rubixe™, boasting over 19 years of experience in Data Analytics and AI, ensuring top-tier education for an enriched learning journey.

Innovative Curriculum:

Engage in an advanced curriculum featuring a No-Code Program and an optional Python track, spanning a comprehensive 6-month learning journey with a commitment of 20 hours weekly, totalling over 200 learning hours.

Global Certification and Flexible Learning:

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

Hands-On Projects and Internship Opportunities:

Immerse yourself in real-world applications with 10 capstone projects and a client/live project, including a valuable internship opportunity to gain practical experience.

Comprehensive Career Support:

Receive holistic 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 continuous growth.

Cost-Effective Pricing and Scholarship Options:

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

Brussels, the capital city of Brussels, is renowned for its historic landmarks, cultural diversity, and vibrant culinary scene. With a robust economy driven by sectors such as finance, European Union institutions, technology, and tourism, Brussels serves as a pivotal hub for international business and trade within Europe.

The future of data analysts in Brussels appears promising with increasing demand driven by the city's status as a hub for international organizations and tech companies. As data-driven decision-making becomes more integral across industries, skilled data analysts will continue to play a vital role in driving innovation and efficiency in Brussels' dynamic economy.

Start an immersive educational experience with DataMites, your pathway to becoming proficient in Data Analytics. As the leading institute, we provide top-notch training in Certified Data Analyst courses in Brussels, guided by industry authority Ashok Veda. Our program ensures a strong base and recognized qualifications through IABAC Certification.

DataMites extends beyond Data Analytics, offering a diverse array of courses including Python, Machine Learning, Data Science, Data Engineering, Artificial Intelligence, Tableau, and others. Our comprehensive approach equips you with the evolving technology landscape, unlocking fresh opportunities for your professional journey.

ABOUT DATAMITES DATA ANALYST COURSE IN BRUSSELS

Data analytics involves the exploration and interpretation of data to extract valuable insights, facilitating informed decision-making.

A data analyst is tasked with deciphering intricate 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 crucial for success in a data analytics career.

Data analysts are involved in collecting, processing, and conducting thorough analysis of data. They also generate comprehensive reports and provide actionable insights to enhance organizational decision-making.

Data analytics offers numerous opportunities across various industries, from finance and healthcare to marketing and technology, allowing professionals to make significant contributions through their analytical skills.

Key positions 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.

Essential 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 demanding 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 Brussels for 2024 is priced between 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.

View more

FAQ’S OF DATA ANALYST TRAINING IN BRUSSELS

DataMites stands out as the leading option for data analyst certification training in Brussels, delivering a comprehensive program certifying expertise in data analytics. The training not only provides essential skills for interpreting data but also opens doors to lucrative career opportunities with multinational corporations. Beyond a basic data analytics certificate, a certification from DataMites signifies the ability to meet professional standards, adding significant value to one's credentials.

The Certified Data Analyst Course in Brussels provided by DataMites is an ideal choice for individuals looking to enter the fields of data analytics or data science. This no-coding course is accessible to everyone, irrespective of their prior programming experience. The thoughtfully designed training program ensures a comprehensive understanding of the subject, making it particularly suitable for beginners interested in delving into the intricacies of analytics.

The Data Analyst Course in Brussels, presented 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 tools covered in the Certified Data Analyst Course in Brussels include:

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

DataMites stands as an exceptional choice for the Certified Data Analyst Course in Brussels, offering an unmatched learning experience. The program provides a flexible learning environment, a curriculum focused on real-world applications, distinguished instructors, and an exclusive practice lab. With lifetime access, continuous growth opportunities, unlimited hands-on projects, and dedicated placement support, DataMites ensures a seamless entry into the professional world of data analytics, making it a comprehensive and advantageous option for aspiring data analysts.

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

The Certified Data Analyst Course in Brussels covers a wide 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. The curriculum culminates in the Certified Business Intelligence (BI) Analyst module, providing a comprehensive understanding of essential concepts for a successful data analytics career.

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

In Brussels, DataMites accepts a diverse range of payment methods for the Certified Data Analytics Course, 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 hosts the Certified Data Analyst Course in Brussels, 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 throughout their learning journey.

The DataMites' Flexi Pass for the Data Analytics Course in Brussels 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 at DataMites in Brussels 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 Brussels, integrating 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 provides flexibility in training options, offering Online Data Analytics Training in Brussels 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 Brussels, DataMites provides recorded sessions, enabling participants to catch up on the content at their convenience. This flexibility supports continuous learning and mitigates the impact of occasional absence.

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

The Certified Data Analyst Course in Brussels 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 Brussels provides an internship alongside the Certified Data Analyst Course through exclusive collaborations with prominent Data Science companies. This unique opportunity allows learners to apply their acquired knowledge in creating real-world data models that benefit businesses. Expert guidance from DataMites ensures a meaningful and practical internship experience.

DataMites in Brussels 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.

View more

Global DATA ANALYTICS COURSES Countries

popular career ORIENTED COURSES

DATAMITES POPULAR COURSES


HELPFUL RESOURCES - DataMites Official Blog