DATA ANALYST CERTIFICATION AUTHORITIES

COURSE FEATURES

DATA ANALYST LEAD MENTORS

DATA ANALYST COURSE FEE IN GUADALAJARA, MEXICO

Live Virtual

Instructor Led Live Online

27,330
15,507

  • 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

13,660
8,886

  • 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

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  • 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 GUADALAJARA

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 GUADALAJARA

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 GUADALAJARA

DATA ANALYST COURSE REVIEWS

ABOUT DATA ANALYST TRAINING IN GUADALAJARA

The Data Analyst Course in Guadalajara equips participants with essential skills in data analysis, covering statistical techniques, data visualization, and proficiency in tools like Python and SQL, preparing them for analytical roles in diverse industries. As per a report from Precedence Research, the global data analytics market reached $30 billion in 2022 and is projected to surpass around $393.35 billion by 2032. Anticipated to exhibit a compound annual growth rate of approximately 29.4% from 2023 to 2032, the market is poised for substantial expansion in the coming years. This upswing underscores the crucial significance of data-driven insights, reshaping the terrain and driving the need for proficient individuals in Guadalajara Data Analytics sector.

DataMites, a globally renowned institution, proudly presents an extensive 6-month Certified Data Analyst Training Course in Guadalajara. Encompassing crucial topics such as No-code, MySQL, Power BI, Excel, and Tableau, this program offers a comprehensive 200-hour learning experience. What sets this institute apart is its international accreditation from IABAC, ensuring participants receive a globally recognized certification upon successful completion. With a decade of expertise, DataMites has adeptly trained over 50,000+ learners worldwide.

By delivering online data analyst training in Guadalajara, DataMites imparts fundamental insights into the field, offering internship support and initiatives that significantly contribute to the overall career advancement of students.

DataMite’s Certified Data Analyst Training in Guadalajara City is structured into three phases for a comprehensive learning experience.

In Phase 1, participants kickstart their journey with pre-course self-study, utilizing high-quality videos designed for easy comprehension.

Moving on to Phase 2, a three-month duration unfolds with live training sessions amounting to 20 hours per week. This phase encompasses an extensive syllabus, hands-on projects, and guidance from expert trainers and mentors.

Phase 3 places a strong emphasis on project mentoring, incorporating over 5 capstone projects, a real-time internship, and the completion of one client/live project. This culminates in participants earning IABAC and data analytics internship certifications in Guadalajara.

DataMites offers certified data analyst courses in Guadalajara which include:

Lead Expertise:

  1. Ashok Veda, a seasoned professional with over 19 years of experience in Data Analytics, leads the educational initiatives at DataMites. 
  2. Serving as the Founder & CEO of Rubixe™, his leadership brings real-world depth to the educational experience, covering both Data Analytics and AI.

Key Features of the Course Curriculum:

  1. The 6-month Data Analytics courses in Guadalajara, designed as a no-code initiative with an optional Python module, ensure a comprehensive understanding of the field. 
  2. Participants commit to 20 hours per week, accumulating over 200 learning hours. The program includes the prestigious IABAC® Certification, providing global recognition.

Flexible Learning Options:

  1. Experience flexibility through Online Data Analytics Training in Guadalajara and personalized self-study options tailored to your schedule.

Hands-on Projects and Internship Opportunities:

  1. Engage in 10 capstone projects, a client/live project, and practical applications using real-world data. 
  2. Avail yourself to the data analytics internship opportunities in Guadalajara to gain valuable hands-on experience.

Comprehensive Career Support:

  1. Benefit from end-to-end job support, personalized resume crafting, and preparation for data analytics interviews. Stay connected with regular job updates, references, and a supportive professional network.

Thriving Learning Community:

  1. Become part of DataMites' exclusive learning community for collaborative growth and knowledge sharing.

Affordable Pricing and Scholarships:

  1. Access the Data Analytics Course in Guadalajara at affordable fees ranging from MXN 7,281 to MXN 22,389. Explore scholarship opportunities to ensure that quality education remains accessible to all.

Guadalajara, the vibrant capital of Mexico, boasts a rich cultural tapestry with historic landmarks like the Zocalo and the Frida Kahlo Museum. Its diverse economy thrives on industries such as finance, manufacturing, and services, contributing significantly to the country's economic vitality.

The future of data analytics in Guadalajara appears promising, with a burgeoning tech ecosystem and increasing adoption of analytics solutions. As businesses embrace data-driven decision-making, the demand for skilled professionals in data analytics is expected to soar, shaping a dynamic landscape for innovation and growth. Additionally, according to a Glassdoor report, the data analyst's salary in Guadalajara ranges from MXN 62,000 per month.

Embark on an enriching educational journey by registering for DataMites Institute's accredited data analyst course in Guadalajara. Our meticulously designed curriculum equips you with essential expertise to thrive in the ever-evolving field of data analytics. Enroll at DataMites today to position yourself as a pivotal contributor in the unfolding data analytics revolution, offering diverse courses in Data Science, Deep Learning, Machine Learning, Artificial Intelligence, Tableau, MlOps, Python, and Data Mining for comprehensive skill enhancement.

ABOUT DATAMITES DATA ANALYST COURSE IN GUADALAJARA

The essence of data analytics revolves around deciphering and scrutinizing data to unveil insights and facilitate informed decision-making processes.

Within the realm of data analysis, responsibilities often include deciphering data, crafting reports, and adeptly conveying discoveries to bolster organizations in making data-informed decisions.

Vital proficiencies entail mastery in statistical analysis, data visualization, programming languages like Python and R, and adeptness in database administration.

The principal tasks of a data analyst encompass data aggregation, processing, analysis, and the creation of insightful reports to guide strategic business decisions.

Data analytics unfolds a plethora of career avenues across diverse sectors including finance, healthcare, marketing, and technology.

Key occupational roles within data analytics span from Data Analysts and Business Analysts to Data Scientists and Machine Learning Engineers.

The evolution of data analysis entails heightened automation, integration of artificial intelligence, and an escalating demand for skilled professionals in the field.

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

Indeed, embarking on a data analytics course presents challenges but also promises rewarding outcomes, necessitating analytical acumen and perpetual learning.

SQL proficiency is paramount for data analysts to efficiently navigate and manipulate databases, enhancing the efficacy of their analytical endeavours.

Yes, achieving proficiency in data analytics within six months is plausible with dedicated learning efforts and practical engagement.

In 2024, the fees for Data Analyst Courses in Guadalajara typically range from MXN 8,000 to MXN 30,000.

Certified Data Analyst courses hold significance as they confer industry-recognized credentials, validating one's proficiency and competence in data analysis.

Internships are pivotal in the learning journey of data analytics as they provide hands-on experience and exposure to industry practices, augmenting practical skills.

Projects in data analytics enrich the learning experience by applying theoretical knowledge to practical scenarios, fostering hands-on experience and skill refinement.

While not always mandatory, mastery of Python is advantageous for data analysts, as familiarity with programming languages enhances analytical capabilities.

Coding is integral to data analytics, with proficiency in scripting languages offering versatility in executing various analytical tasks.

Undoubtedly, data analytics is regarded as challenging due to its multidisciplinary nature, yet it presents abundant opportunities for growth and advancement.

Career prospects within data analytics encompass roles in data engineering, business intelligence, and data science, offering a spectrum of opportunities for professional development.

According to a Glassdoor report, the data analyst's salary in Guadalajara ranges from MXN 33,295 per month.

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FAQ’S OF DATA ANALYST TRAINING IN GUADALAJARA

DataMites stands out as the preferred choice for data analytics certification in Guadalajara due to its esteemed reputation for delivering top-notch training. The program not only hones essential skills for data interpretation and decision-making but also paves the way for lucrative career opportunities with renowned multinational corporations. Opting for DataMites certification not only signifies proficiency but also demonstrates an ability to meet professional standards, offering significant value beyond a standard data analytics certificate.

DataMites' Certified Data Analyst Course in Guadalajara caters to individuals aspiring to venture into the realms of data analytics or data science. This no-coding course boasts accessibility, requiring no prior programming experience, thus making it suitable for all. The meticulously crafted training ensures a comprehensive grasp of the subject matter, making it particularly appealing to beginners. Enrolling in this course presents an excellent opportunity for those intrigued by analytics to delve deeply into the field.

The Data Analyst Course delivered by DataMites in Guadalajara spans approximately six months, entailing over 200 hours of instruction, with a suggested dedication of 20 hours per week.

The curriculum of the Certified Data Analyst Course in Guadalajara encompasses 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

DataMites' Certified Data Analyst Course in Guadalajara offers an exceptional learning journey characterized by its adaptable study environment, a curriculum tailored for real-world applications, esteemed instructors, and an exclusive practice lab. With features such as a robust learning community, lifetime access, unlimited hands-on projects, and dedicated placement support, DataMites emerges as a comprehensive choice for aspiring data analysts.

The fee for DataMites' Data Analytics course in Guadalajara ranges from MXN 7,281 to MXN 22,389.

DataMites' Certified Data Analyst Course in Guadalajara encompasses a wide 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 concludes with the Certified Business Intelligence (BI) Analyst module, ensuring a holistic understanding of essential concepts for a successful data analytics career.

DataMites in Guadalajara provides substantial one-on-one support to help participants grasp the content of the data analytics course effectively, ensuring a clear understanding of the curriculum and fostering an optimal learning environment.

In Guadalajara, 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 course enrollment and payment processes.

Led by Ashok Veda, a distinguished Data Science coach and AI expert, DataMites in Guadalajara boasts a team of elite mentors and faculty members with hands-on experience from prestigious companies and renowned institutes like IIMs, ensuring participants receive exceptional mentorship and guidance.

DataMites' Flexi Pass for the Data Analytics Course in Guadalajara enables participants to select batches that align with their schedules, offering flexibility in training. This versatile option empowers learners to tailor the course to their availability, enhancing convenience and accessibility.

Yes, upon completing the Certified Data Analyst Course in Guadalajara at DataMites, participants receive the esteemed IABAC Certification, validating their expertise in data analytics and bolstering their credibility within the industry.

DataMites adopts a results-driven approach in the Certified Data Analyst Course in Guadalajara, integrating hands-on practical sessions, real-world case studies, and industry-relevant projects to ensure participants acquire practical skills for the dynamic field of data analytics.

DataMites provides flexible training options for its Certified Data Analyst Course in Guadalajara, offering choices such as Online Data Analytics Training or Self-Paced Training. Participants can select the mode that aligns with their learning preferences and schedule, ensuring a comprehensive and accessible educational experience.

In the event of a missed data analytics session in Guadalajara, DataMites offers recorded sessions, allowing individuals to catch up on the missed content at their convenience, facilitating continuous learning.

To participate in DataMites' data analytics training in Guadalajara, individuals need to bring a valid photo ID, such as a national ID card or driver's license, to obtain the participation certificate and schedule relevant certification exams.

In Guadalajara, DataMites organizes personalized data analytics career mentoring sessions where experienced mentors offer guidance on industry trends, resume building, and interview preparation. These interactive sessions are tailored to individual career goals, ensuring participants receive customized advice for navigating the dynamic landscape of data analytics.

Indeed, the Certified Data Analyst Course in Guadalajara offered by DataMites is highly valuable, being the most comprehensive non-coding course available for individuals from non-technical backgrounds. The program offers a unique combination of a 3-month internship in an AI company, an experience certificate, and training by expert faculty, ultimately leading to the prestigious IABAC Certification.

Yes, DataMites offers an internship alongside the Certified Data Analyst Course in Guadalajara through exclusive collaborations with prominent Data Science companies, enabling learners to apply their knowledge in creating real-world data models and gaining valuable practical experience.

DataMites in Guadalajara integrates live projects into the data analyst course, including 5+ Capstone Projects and 1 Client/Live Project, ensuring participants gain hands-on experience 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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