DATA ANALYST CERTIFICATION AUTHORITIES

COURSE FEATURES

DATA ANALYST LEAD MENTORS

DATA ANALYST COURSE FEE IN BOGOTA, COLOMBIA

Live Virtual

Instructor Led Live Online

COP 4,714,290
COP 2,675,249

  • 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

COP 2,357,140
COP 1,533,102

  • 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 BOGOTA

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

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SYLLABUS OF DATA ANALYST COURSE IN BOGOTA

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 BOGOTA

DATA ANALYST COURSE REVIEWS

ABOUT DATA ANALYST TRAINING IN BOGOTA

Data Analyst course in Bogotá opens doors to a promising career, as the city's growing demand for skilled data professionals presents abundant opportunities in various industries, fostering a dynamic and thriving analytics landscape. As per a report from Acumen Research and Consulting, the global data analytics market achieved a value of USD 31.8 billion in 2021, and substantial growth is expected, projecting a market size of USD 329.8 billion by 2030. This forecast indicates an impressive compound annual growth rate (CAGR) of 29.9% from 2022 to 2030.

Bogotá is riding the wave of Data Analytics, aligning itself with global trends. The local industry is progressing, playing a pivotal role in the nation's technological advancement. Professionals are immersing themselves in data-driven insights, placing Bogotá at the forefront of transformative Data Analytics landscapes.

DataMites, a well-established global institution, is thrilled to present its comprehensive 6-month Certified Data Analyst Training Course in Bogotá. This in-depth program delves into essential topics like No-code, MySQL, Power BI, Excel, and Tableau, providing participants with an immersive 200-hour learning journey. What distinguishes DataMites is its international accreditation from IABAC, guaranteeing participants a globally recognized certification upon successful completion. Leveraging a decade of expertise, DataMites has successfully mentored over 50,000+ learners worldwide in their training initiatives.

DataMites provides online training for data analysts in Bogotá, offering crucial insights into the field along with internship support and initiatives. This greatly contributes to the overall career advancement of students.

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

Phase 1: Preliminary Self-Study

Embark on 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 a comprehensive 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 Bogotá, solidifying your expertise in the dynamic field of Data Analytics.

DataMites proudly presents its accredited data analyst course in Bogotá, delivering a comprehensive learning experience enriched with unique features.

Guided by Leadership Excellence: Headed by Ashok Veda, a seasoned professional with over 19 years in Data Analytics and AI, our program ensures expert guidance.

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: Enjoy flexibility with online Data Analytics courses in Bogotá and self-study options.

Hands-on Experience: Engage in practical exposure through hands-on projects with real-world data, including 10 capstone projects and 1 client/live project. Enhance your practical expertise through our well-structured data analytics courses with internship opportunities in Bogotá, providing valuable industry experience.

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

Community Connection: Join an exclusive learning community that fosters collaboration and knowledge exchange.

Cost-effectiveness: Choose from affordable pricing options, with data analytics course fees in Bogotá ranging from COP 16,89,100 to COP 51,93,891.

Bogotá, the capital of Colombia, is a vibrant city nestled in the Andes mountains, known for its rich cultural heritage, historic architecture, and lively street art scene. The city boasts a diverse and growing economy, driven by sectors such as finance, trade, and technology, making it a key economic hub in South America.

Bogotá offers promising career prospects in data analytics, with a burgeoning demand for skilled professionals. The city's growing emphasis on technology and business analytics positions it as a favourable hub for individuals seeking rewarding opportunities in the field. Furthermore, the data analyst salary in Bogotá ranges from COP 7,080,446 per year according to a Glassdoor report.

DataMites stands as a driving force for career progression, providing exceptional Data Analytics Training Courses in Bogotá, complemented by a diverse range of offerings including Artificial Intelligence, Machine Learning, Python, Data Engineering, Data Science, Tableau, and more. Our intricately designed programs aim to empower individuals with the essential skills sought after in Bogotá's fast-evolving tech industry. Choose DataMites as your pathway to success, where state-of-the-art knowledge seamlessly combines with hands-on experience, ensuring a prosperous and rewarding career in Bogotá's dynamic professional landscape.

ABOUT DATAMITES DATA ANALYST COURSE IN BOGOTA

Data analytics entails the exploration and interpretation of data to extract valuable insights that drive informed decision-making processes.

The role of a data analyst commonly involves tasks such as data interpretation, report generation, and effective communication of findings to facilitate data-driven decision-making within organizations.

Success in data analytics demands proficiency in statistical analysis, data visualization, programming languages like Python or R, and adept management of databases.

Data analysts primarily engage in collecting, processing, and analyzing data to deliver comprehensive reports containing actionable insights crucial for organizational decision-making.

Data analytics offers extensive career prospects across various industries such as finance, healthcare, marketing, and technology, showcasing its broad applicability and significance.

Key positions within data analytics include Data Analyst, Business Analyst, Data Scientist, and Machine Learning Engineer, each contributing uniquely to the dynamic landscape of the field.

The future of data analysis is anticipated to witness increased automation, integration of AI technologies, and a growing demand for professionals skilled in navigating the evolving analytical landscape.

While prerequisites may vary, a common starting point for a data analyst course often involves obtaining a bachelor's degree in a relevant field.

Critical tools for data analytics include Excel, SQL, programming languages such as Python or R, and visualization tools like Tableau, forming the foundation for effective data analysis.

Embarking on a journey into data analytics is both challenging and rewarding, demanding analytical thinking and a dedication to continuous learning to keep pace with industry advancements.

Proficiency in SQL is essential for data analysts to efficiently query and manipulate databases, facilitating effective data analysis processes.

Acquiring proficiency in data analytics within six months is attainable with focused learning efforts and practical application of skills.

The fees for the Data Analyst Course in Bogotá in 2024 range from COP 2,000,000 to COP 4,000,000.

Certified Data Analyst courses provide industry-recognized credentials, validating individuals' expertise in data analysis practices.

Internships play a vital role in data analytics learning by offering real-world exposure and practical experience in applying theoretical knowledge.

Projects in data analytics enrich learning by providing opportunities for practical application, reinforcing theoretical concepts, and fostering hands-on experience in data analysis techniques.

Data analytics presents diverse career prospects, encompassing roles in data engineering, business intelligence, and data science, among others.

While Python proficiency is advantageous, it may not always be mandatory; however, competence in at least one programming language is recommended for data analysts.

Data analytics involves coding to varying degrees, with proficiency in scripting languages advantageous for conducting analyses and manipulating data effectively.

Indeed, data analytics is widely acknowledged as a challenging field due to its multidisciplinary nature, although it also offers promising career opportunities.

The data analyst salary in Bogotá ranges from COP 7,080,446 per year according to a Glassdoor report.

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FAQ’S OF DATA ANALYST TRAINING IN BOGOTA

DataMites emerges as the leading provider of data analyst certification training in Bogotá, offering tangible validation of one's data analytics proficiency. This program equips participants with essential skills for data interpretation and decision-making, unlocking doors to lucrative career opportunities with prominent multinational corporations. A certification from DataMites not only signifies competency but also signals preparedness to meet professional standards, elevating its value beyond a conventional data analytics certificate.

Opting for DataMites' Certified Data Analyst Course in Bogotá is perfect for individuals aspiring to explore the realms of data analytics or data science, regardless of prior coding experience. This inclusive course structure ensures accessibility for all, delivering a comprehensive understanding of the subject matter tailored specifically for beginners. It represents an excellent opportunity for anyone intrigued by analytics to delve deeper into the field.

The Data Analyst Course in Bogotá offered by DataMites extends over approximately six months, encompassing more than 200 hours of immersive learning. Participants are encouraged to allocate around 20 hours per week to fully engage with the curriculum and maximize their learning experience.

The curriculum of the certified data analyst course in Bogotá  includes training 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 DataMites' Certified Data Analyst Course in Bogotá promises an unparalleled learning journey. With its adaptable study environment, a curriculum tailored for real-world applications, renowned instructors, and exclusive access to a practice lab, participants thrive within a vibrant learning community. The program offers lifetime access, unlimited hands-on projects, and dedicated placement support, making it a comprehensive and advantageous choice for those aspiring to excel in data analytics.

The DataMites' Data Analytics course fee in Bogotá ranges from COP 16,89,100 to COP 51,93,891.

The curriculum of DataMites' Certified Data Analyst Course in Bogotá spans a diverse array 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, Python Foundation, and culminates in the Certified Business Intelligence (BI) Analyst module. This meticulously crafted curriculum ensures participants gain a comprehensive understanding of vital concepts essential for a successful career in data analytics.

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

DataMites in Bogotá 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 Bogotá is spearheaded by Ashok Veda, a highly esteemed Data Science coach and AI expert. The instructional team comprises elite mentors and faculty members with hands-on experience from prestigious companies and renowned institutes like IIMs, ensuring exceptional mentorship and guidance throughout participants' learning journeys.

The Flexi Pass feature in DataMites' Data Analytics Course in Bogotá allows participants to select batches that align with their schedules, providing flexibility in training. This versatile option enables learners to tailor the course to their availability, enhancing convenience and accessibility.

Absolutely, upon completing DataMites' Certified Data Analyst Course in Bogotá, participants receive the esteemed IABAC Certification, validating their expertise in data analytics and bolstering their credibility in the industry.

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

DataMites provides flexibility with options like Online Data Analytics Training in Bogotá or Self-Paced Training. Participants can select the mode that suits their learning preferences and schedule. Whether opting for instructor-led online sessions or self-paced learning, both approaches offer a comprehensive and accessible educational experience tailored to individual needs.

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

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

In Bogotá, 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 tailored advice to successfully navigate the dynamic landscape of data analytics.

The Certified Data Analyst Course in Bogotá offered by DataMites holds significant value as the most comprehensive non-coding course available, catering to individuals from diverse backgrounds. The program's unique combination of a 3-month internship in an AI company, an experience certificate, and expert faculty training leads to the prestigious IABAC Certification, solidifying its importance in the industry.

Indeed, DataMites in Bogotá offers internship opportunities alongside the Certified Data Analyst Course through exclusive collaborations with leading Data Science companies. This hands-on experience allows learners to apply their acquired knowledge in real-world settings, benefiting businesses while receiving expert guidance

DataMites in Bogotá integrates practical projects into its data analyst curriculum, comprising 5+ Capstone Projects and 1 Client/Live Project. This experiential learning opportunity allows participants to apply their knowledge in authentic scenarios, thereby improving their practical skills and readiness for the industry.

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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