DATA ANALYST CERTIFICATION AUTHORITIES

COURSE FEATURES

DATA ANALYST LEAD MENTORS

DATA ANALYST COURSE FEE IN HUBLI

Live Virtual

Instructor Led Live Online

110,000
55,451

  • 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

55,000
34,900

  • Self Learning + Live Mentoring
  • IABAC® Certification
  • 1 Year Access To Elearning
  • 10 Capstone & 1 Client Project
  • Job Assistance
  • 24*7 Learner assistance and support

Classroom

In - Person Classroom Training

110,000
60,451

  • IABAC® Certification
  • 6-Month | 200+ Learning Hours
  • 20 HOURS LEARNING A WEEK
  • 10 Capstone & 1 Client Project
  • Cloud Lab Access
  • Internship +Job Assistance

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UPCOMING DATA ANALYST ONLINE CLASSES IN HUBLI

BEST CERTIFIED DATA ANALYST 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 CERTIFICATION IN HUBLI

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

DATA ANALYST TRAINING REVIEWS

ABOUT DATA ANALYST TRAINING IN HUBLI

DataMites Institute, a leading provider of Data Analytics training, offers an all-encompassing Data Analyst course in Hubli, an emerging tech hub. As Hubli's IT sector grows rapidly and data-driven decision-making becomes a critical component for businesses, the city provides an excellent environment for aspiring data analysts to launch their careers. DataMites leads the way in offering top-tier training to meet the increasing demand for skilled data professionals.

With Hubli establishing itself as a significant player in the technology industry, DataMites delivers a comprehensive Data Analyst course that covers key topics such as data analysis methods, machine learning applications, and data visualization tools. This six-month program, comprising over 200 learning hours, is tailored to meet the region’s growing need for data expertise. Graduates earn globally recognized certifications from IABAC® and NASSCOM FutureSkills, which are highly regarded by employers across the globe.

Hubli’s rise as a prominent hub for data analytics careers makes it an ideal destination for those looking to enter the field. DataMites offers a Certified Data Analyst course, providing hands-on experience with essential tools like Excel, SQL, Tableau, Power BI, Python, and R. With a reduced fee of 42,000 INR, this course offers great value, along with certifications from IABAC® and  NASSCOM FutureSkills, making it a top choice for students in Hubli.

As demand for data analytics professionals increases in Hubli, competitive salaries reflect this trend.According to Indeed reports, data analysts in Hubli earn an average annual salary of approximately 2,04,283 INR.With the sector’s continued expansion, advancing your skills through DataMites training can pave the way for a successful career in data analytics.

Data Analyst Training in Hubli

Hubli is rapidly becoming a key destination for aspiring data analysts due to the rapid expansion of data-driven industries. DataMites Institute’s Data Analyst training in Hubli equips students with a comprehensive set of skills, covering both fundamental concepts and advanced techniques. Emphasizing practical, hands-on learning, DataMites offers flexible course formats—online, blended, and offline—catering to recent graduates, working professionals, and those seeking a career change.

Why Choose DataMites for Data Analyst Training in Hubli?

DataMites Institute stands out as a top training provider for data analytics in Hubli. Here are the reasons why DataMites is the best choice for aspiring data analysts:

  1. Online Classes in Hubli: DataMites offers flexible online learning options with structured virtual classrooms and interactive sessions, perfect for those who prefer remote learning.

  2. Experienced Faculty: Led by industry experts, including Ashok Veda, DataMites' lead mentor with over 19 years of experience in data analytics, the courses ensure that students gain industry-relevant knowledge and skills.

  3. Comprehensive Curriculum: The six-month course offers over 200 hours of in-depth instruction, covering tools like Excel, SQL, Tableau, Power BI, Python, and R, as well as data analysis and machine learning techniques.

  4. Global Certifications: Graduates earn internationally recognized certifications from IABAC® and NASSCOM FutureSkills, significantly enhancing their employability in the global job market.

  5. Hands-On Projects: The course includes 10 capstone projects and one client project, ensuring students gain practical experience with real-world data to be job-ready.

  6. Internships & Job Support: DataMites provides internships and job placement assistance, leveraging its industry connections to help students secure relevant positions.

  7. Exclusive Learning Community: DataMites fosters an online learning environment where students can network, share ideas, and stay updated on industry trends.

  8. Affordable Pricing & Scholarships: With a reduced fee of 42,000 INR (down from 55,000 INR) and scholarships available, the course offers excellent value for aspiring data analysts in Hubli.

 

Data Analyst Course Offerings at DataMites in Hubli

DataMites Institute offers a variety of Data Analyst courses in Hubli, tailored to different skill levels and career goals. These programs are designed to thoroughly train students in data analysis, preparing them to excel in the competitive data analytics landscape.

  1. Certified Data Analyst Course

  2. Data Analyst Foundation Course

  3. Data Analytics for Managers Course

  4. Certified HR Analytics Professional

  5. Certified Finance Analytics Professional

  6. Certified Healthcare Analytics Professional

Three-Phase Learning Methodology

DataMites’ three-phase learning approach provides a structured path to mastering data analytics:

  1. Phase 1: Pre-Course Self-Study
    Begin with self-paced study, using video content and materials to build a solid foundation in data analytics.

  2. Phase 2: Live-Online Training
    Engage in interactive live-online sessions led by expert instructors, enhanced with hands-on projects for practical insights.

  3. Phase 3: Internship and Job Assistance
    Gain real-world experience through internships and receive job placement support, with DataMites helping you connect with industry opportunities for a smooth transition into a data analytics career.

DataMites Data Analyst Course Tools

The Data Analyst courses at DataMites in Hubli cover a wide range of essential tools and technologies, including Anaconda, Atlassian BitBucket, MySQL, MongoDB, Hadoop, Apache PySpark, GitHub, Tableau, Power BI, TensorFlow, Google BERT, Advanced Excel, Numpy, Pandas, and Google Colab.

The Importance of Data Analyst Courses with Internship Opportunities in Hubli

Internships play a critical role for aspiring data analysts, providing practical experience and industry exposure. In Hubli’s expanding IT sector, internships enable students to apply theoretical knowledge to real projects and build valuable industry connections. DataMites integrates internships into its Data Analyst courses, ensuring students are job-ready upon graduation.

The Value of Data Analytics Courses with Job Placement Support in Hubli

Data analytics courses with job placement support are essential for bridging the gap between academic learning and industry demands. DataMites offers a comprehensive program that includes both technical and soft skills training, preparing students for roles such as Data Analysts, Business Intelligence Analysts, and Data Scientists. Focusing on Hubli’s growing data analytics sector, DataMites also offers courses in Data Science, AI, Tableau, Python, MLOps, Machine Learning, Deep Learning, and Data Mining. Enroll with DataMites to launch a successful career in the fast-evolving field of data analytics.

ABOUT DATA ANALYST COURSE IN HUBLI

Typically, anyone with a basic understanding of mathematics and statistics can enroll. Most courses do not require prior technical expertise but having some knowledge of Excel or similar tools is beneficial. Generally, high school diploma or equivalent educational background is required.

The best course for data analysts in Hubli would depend on your specific needs and career goals. It's advisable to research and compare courses from reputable institutions or online platforms. Look for reviews, course content, and instructor credentials to make an informed choice.

A Data Analyst course trains individuals to collect, process, and analyze data to help businesses make informed decisions. The curriculum typically covers statistical analysis, data visualization, and the use of analytical tools and software.

A data analyst is a professional who examines data to identify trends, make forecasts, and provide actionable insights. They use various tools and techniques to analyze data sets and help organizations solve problems and make data-driven decisions.

While coding is not always mandatory, it is highly beneficial. Familiarity with programming languages like Python or R can enhance your ability to perform complex data analyses and automate tasks, making you a more competitive candidate.

Yes, transitioning to a data analyst career from a non-engineering background is possible. Many skills from fields such as business, economics, or social sciences are transferable. Relevant coursework or certifications in data analysis can aid in the transition.

Recent trends in Hubli include increased use of machine learning and artificial intelligence, as well as a growing demand for data visualization skills. The integration of big data analytics and real-time data processing is also gaining traction.

The average salary for a data analyst in Hubli varies based on experience and company size but typically ranges between ₹4 to ₹8 lakhs per annum. More experienced analysts or those with specialized skills may earn higher salaries.

The duration of a data analyst course in Hubli can range from 4-12 months, depending on the program's depth and format. Full-time courses are generally shorter, while part-time or online courses might take longer.

To study data analytics, you need strong analytical skills, proficiency in statistical tools, knowledge of programming languages like Python or R, familiarity with data visualization techniques, and a good understanding of databases. Communication skills are essential for presenting insights effectively.

The scope of data analysis in Hubli is expanding, with increasing demand across various sectors including finance, healthcare, and retail. As businesses recognize the value of data-driven decisions, opportunities for data analysts are growing.

The best way to learn data analysis in Hubli is to enroll in a reputable course, engage in hands-on projects, and seek internships or practical experiences. Online resources and community meetups can also provide valuable learning opportunities.

Yes, becoming a data analyst in Hubli within a year is feasible with intensive study and practical experience. Completing a focused training program, gaining relevant skills, and securing an internship or entry-level job can expedite the process.

Training options in Hubli include local educational institutions, online courses, and professional workshops. Some institutions may offer specialized programs, while online platforms provide flexibility to learn at your own pace.

Yes, there is a growing demand for data analysts across various industries. As companies increasingly rely on data to drive decisions and strategies, the need for skilled professionals in this field continues to rise.

The fees for data analyst courses in Hubli can vary widely depending on the institution and course length. On average, fees may range from ₹20,000 to ₹1,00,000. It's advisable to compare different programs to find one that fits your budget and needs.

A recommended educational path includes obtaining a degree in a related field such as statistics, mathematics, or computer science, followed by specialized courses or certifications in data analysis. Practical experience through internships or projects is also valuable.

No, 40 is not too old to start a career as a data analyst. Many people successfully transition to new careers later in life. Relevant skills, experience, and a willingness to learn can help make this career change successful.

Yes, pursuing a data analyst career in Hubli is considered promising due to the growing emphasis on data-driven decision-making across industries. With the right skills and qualifications, there are ample opportunities for career growth.

To get certified as a data analyst in Hubli, you can enroll in certification programs offered by recognized institutions or online platforms. Ensure the program is reputable and provides practical experience, and then pass the required exams to earn your certification.

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FAQ’S OF DATA ANALYST TRAINING IN HUBLI

To enroll, visit the DataMites website and complete the registration form, or contact the Hubli center directly for enrollment procedures and assistance.

The curriculum includes data wrangling, statistical analysis, data visualization, and practical use of tools like Excel, SQL, Python, and R. Detailed syllabus information is available on the DataMites website.

Yes, DataMites provides placement assistance including resume building, interview preparation, and job placement support.

DataMites does offer a Data Analyst course that includes internship opportunities. However, availability in specific locations such as Hubli may vary. It is recommended to contact DataMites directly for the most current information on course offerings and locations.

DataMites offers Data Analyst courses with live projects across various locations, including Hubli. For specific details regarding course availability, schedules, and live project components in Hubli, please contact DataMites directly or visit our official website.

DataMites features trainers who are seasoned professionals with deep expertise in data analysis. Comprehensive profiles of these trainers can be found on the DataMites website. Instructors are highly qualified with significant industry experience, including Ashok Veda, CEO of Rubixe, who serves as the lead mentor. our collective expertise guarantees a high standard of education.

Yes, DataMites offers a demo class for the Data Analyst course. This allows prospective students to experience the course content and teaching style before making a commitment. Please visit our website or contact our support team for more details.

Yes, at DataMites, if you miss a class session, you typically have the option to attend a future session or access recorded materials, ensuring you can stay on track with your coursework. Please consult your course details for specific arrangements.

The Data Analyst course at DataMites in Hubli provides comprehensive study materials, including detailed course notes, interactive e-learning modules, practical case studies, and access to industry-standard tools. These resources ensure a well-rounded learning experience and hands-on practice.

The Flexi-Pass option at DataMites provides a flexible training schedule for data analyst courses, enabling participants to attend any sessions within a 3-month period. This flexibility supports diverse learning paces and schedules for a tailored educational experience.

DataMites offers EMI options for the Data Analyst Training in Hubli. You can choose from various flexible payment plans to facilitate your enrollment. For detailed information, please contact our support team or visit our official website.

Upon completing the DataMites Data Analyst course in Bangalore, you will earn the Certified Data Analyst (CDA) certification, accredited by IABAC and NASSCOM®. This certification validates your proficiency in data analysis and can enhance your career prospects.

The fees for the DataMites Certified Data Analyst course in Bangalore generally range from ?25,000 to ?1,00,000. This amount may vary depending on current promotions or additional features. For the most precise and updated fee information, please contact a DataMites counselor.

DataMites offers comprehensive support during and after the Data Analyst course in Hubli, including hands-on training, mentorship, career guidance, job placement assistance, and access to a network of industry professionals to ensure successful career development.

DataMites’ refund policy for withdrawing from the Data Analyst course allows for a partial refund if notified within the initial enrollment period. Refund eligibility and amount depend on the timing of the withdrawal and the specific course terms.

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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