DATA ANALYST CERTIFICATION AUTHORITIES

COURSE FEATURES

DATA ANALYST LEAD MENTORS

DATA ANALYST COURSE FEE IN KOCHI

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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BEST CERTIFIED DATA ANALYST CERTIFICATIONS

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WHY DATAMITES INSTITUTE FOR DATA ANALYST COURSE

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SYLLABUS OF DATA ANALYST CERTIFICATION IN KOCHI

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 KOCHI

The Certified Data Analyst Course Certification in Kochi by DataMites® is the ideal choice for aspirants seeking a career in data analytics. This 6-month program offers 200+ hours of expert-led training, with a recommended 20 hours of weekly learning, providing hands-on experience in essential tools like Excel, SQL, MySQL, Tableau, Power BI, Python Programming training, R, and no-code platforms. Covering industry-relevant technologies and practical projects, the course equips students with the skills required for high-demand data analytics roles, and with placement assistance included, this certification empowers learners to confidently step into rewarding analytics careers in Kochi and beyond.

Kochi, Kerala’s growing IT hub, is a hotspot for career opportunities in analytics, DataMites® Kochi is a globally recognized institute for aspiring data professionals, accredited by IABAC and NASSCOM FutureSkills. With over a decade of experience, it offers Certified Data Analyst courses in Kochi featuring expert-led training, hands-on projects, and dedicated placement support, providing learners with practical skills and a career-focused pathway to excel in high-demand data analytics roles.

According to a report by Grand View Research, the global data analytics market is expected to expand from USD 69.54 billion in 2024 to reach USD 329.8 billion by 2030.

The Data Analyst Certification Course in Kochi by DataMites® is a robust, blended learning program that merges in-person classroom instruction with flexible online sessions, enriched by hands-on live projects and internship opportunities. Whether you are a recent graduate, working professional, or planning a career transition, this all-inclusive training validates your expertise and positions you for coveted analytics roles within Kochi’s thriving tech ecosystem and beyond.

Global and national analytics markets are surging: the global advanced analytics market was valued at USD 75.89 billion in 2024 and is projected to grow to USD 305.42 billion by 2030, at a CAGR of 26.4 percent between 2025 and 2030 (Grand View Research). 

Kochi, often called the financial and commercial capital of Kerala, is rapidly emerging as a hub for technology, banking, and business innovation. Home to Federal Bank, India’s fourth-largest private-sector bank, headquartered in Aluva, and recognized as one of the country’s major online trading centers, Kochi is witnessing a surge in demand for data analytics professionals. Companies across finance, IT, and startups are actively seeking skilled analysts to streamline operations, forecast trends, and drive smarter decision-making. With data analytics becoming the backbone of modern business strategy, pursuing a data analyst certification in Kochi offers a stable and future-ready career path. Boost your career with an Artificial Intelligence Course that offers hands-on projects, expert guidance, and industry-recognized certifications.

Why choose datamites® for data analyst training in Kochi?

DataMites® is a leading institute for Data Analyst courses in Kochi, offering a comprehensive and transformative learning experience through expert mentorship, hands-on projects, and a globally recognized curriculum. Here’s why DataMites stands out as the top choice for aspiring data professionals in Kochi:

  1. Data analyst courses with Internship Opportunities: Data analyst certification with internships in Kochi that provide real-world experience. Interns work on live projects, gaining insights into industry workflows and practical problem-solving.
  2. Data analyst courses with Placement Assistance (PAT Program): Resume reviews, mock interviews, and job access to help launch your analytics career. Personalized career guidance ensures students are prepared to excel in competitive recruitment processes.
  3. Data analyst courses with Live Projects: Industry datasets, case studies, and capstone projects replicating real business problems. These projects strengthen analytical thinking and enhance portfolios for prospective employers.
  4. Globally Recognized Certifications: Credentials that enhance career credibility across industries. Certifications from IABAC® and NASSCOM FutureSkills validate your expertise and increase employability.
  5. Flexible Learning Options: Both online and offline courses in Kochi, with weekend batches for working professionals. This flexibility allows learners to balance career, studies, and personal commitments efficiently.
  6. Learn with expert mentors: Learn directly from experienced industry practitioners. Mentors provide personalized feedback and guide students through complex concepts and real-time challenges.

With DataMites®, freshers, professionals, and career switchers can confidently pursue high-demand data analyst jobs in Kochi and beyond.

Three-phase learning methodology at DataMites

At DataMites® Kochi, the Three-Phase Learning Methodology ensures a structured and results-driven approach to becoming a proficient data analyst. In Phase 1, learners build a strong foundation through self-paced study with high-quality video tutorials, eBooks, and preparatory resources. Phase 2 offers live, interactive sessions led by industry experts, covering essential analytics tools, real-world case studies, and hands-on projects. In Phase 3, students gain practical experience through internships and live projects, while receiving comprehensive career support including resume building, mock interviews, and personalized guidance, preparing them for high-demand data analyst jobs in Kochi.

Data analyst course in Kochi with internships

DataMites® offers a comprehensive data analyst training in Kochi with internship opportunities that enable learners to apply their classroom knowledge to real-world data challenges. These internships provide hands-on experience with live industry projects, helping students develop practical skills and create a robust portfolio that enhances employability, giving them a competitive edge in securing high-demand data analyst jobs in Kochi and beyond.

Data analyst course in Kochi with placement support

The DataMites® Placement Assistance Team (PAT) ensures learners transition seamlessly into professional roles. The Data Analyst courses in Kochi with placement support include personalized resume building, mock interviews with industry experts, and access to exclusive data analyst job opportunities in Kochi across top companies, equipping students with the guidance and resources needed to launch a successful career in analytics.

DataMites offline centers across India

DataMites® provides offline Data Analyst courses across 20+ cities, including Kochi, and major hubs like Bangalore, Hyderabad, Pune, Chennai, Coimbatore, Mumbai, Ahmedabad, Delhi, Nagpur, Bhubaneswar, Indore, Jaipur, Kolkata, and Chandigarh. The Kochi center offers in-person classes led by expert mentors, fostering interactive learning, hands-on practice, and collaboration among peers, giving students a comprehensive and practical foundation in data analytics while preparing them for real-world career opportunities.

About DataMites Kochi training centre

The DataMites® Kochi Training Centre, centrally located with excellent connectivity, offers hands-on Data Analyst courses and expert mentorship for career-ready skills.

The address for the Kochi location: 3rd Floor, Jos Annexe Building, Mahatma Gandhi Rd, Jos Junction, Kubz, Kochi, Ernakulam, Kerala 682015.

The DataMites® Kochi Training Centre is easily accessible from Aluva (683101), Kakkanad (682021), Vyttila (682019), Ernakulam (682011), Edappally (682024), Thrikkakara (682021), Fort Kochi (682001), Mattancherry (682002), Panampilly Nagar (682036), MG Road (682016), Kadavanthra (682020), and nearby areas. The center features modern infrastructure, experienced faculty, and collaborative offline learning environments, providing students with hands-on training and practical exposure in Data Analyst training in Kochi.

With the growing emphasis on data-driven decision-making, pursuing a career in analytics in Kochi has never been more promising. The Certified Data Analyst Course in Kochi by DataMites® equips learners with essential skills, practical knowledge, and industry-relevant training, making it ideal for beginners as well as professionals planning a career switch.

DataMites® offers a wide range of courses, including Data Science Course, Python, Tableau, Machine Learning, MLOps, Artificial Intelligence, Deep Learning, Data Mining, and the comprehensive Data Analytics Course. Enroll with DataMites to gain practical skills, enhance your expertise, and launch a successful career as a data analyst in Kochi. With hands-on training and industry-relevant projects, DataMites ensures students graduate as job-ready data analysts, prepared for high-demand roles across IT, finance, and emerging sectors in Kerala and beyond.

ABOUT DATA ANALYST COURSE IN KOCHI

Anyone with an interest in data analysis can enroll, including recent graduates, professionals seeking a career change, or those looking to enhance their skills. Basic knowledge of statistics and computer applications is helpful but not mandatory.

Key skills for studying data analysis include analytical thinking, problem-solving, statistical knowledge, and familiarity with data visualization tools. Basic proficiency in Excel and database management is also beneficial.

A data analyst course teaches students how to collect, process, and analyze data to derive insights. It covers topics like data visualization, statistical analysis, and tools such as Excel, SQL, and Python.

A data analyst is a professional who interprets data to help organizations make informed decisions. They gather, clean, and analyze data, presenting findings through reports and visualizations.

No, While coding is not strictly required, knowledge of programming languages like SQL and Python is beneficial. Many data analysts use these languages for data manipulation and analysis.

Yes, individuals without an engineering background can transition to a data analyst career. Relevant skills in statistics, analytical thinking, and experience with data tools can facilitate this change.

Latest trends for data analysts in Kochi include the increasing use of artificial intelligence, machine learning, and big data analytics. Companies are focusing on predictive analytics to enhance decision-making.

The average salary for a Data Analyst in Kochi ranges from INR 4 LPA to INR 10 LPA (Source: Glassdoor), depending on skills and experience. Completing a Data Analyst Course in Kochi enhances employability and salary growth prospects.

A data analyst course in Kochi typically takes between 6 to 12 months to complete, depending on the program structure and whether it is part-time or full-time.

Top data analyst courses in Kochi include offerings from institutes like DataMites, Simplilearn, and upGrad. These courses provide comprehensive training, industry-relevant skills, and job placement assistance.

The job scope for data analysts in Kochi is growing, with opportunities in various sectors such as IT, finance, and healthcare. Companies are increasingly relying on data-driven insights for decision-making. This trend indicates a strong demand for skilled data analysts.

The curriculum of a Data Analyst course typically includes foundational topics such as data collection, cleaning, and visualization, along with statistical analysis and tools like Excel, SQL, and Python. It may also cover data interpretation and presentation skills, but advanced machine learning concepts are often excluded.

The stress level of a data analyst job can vary based on deadlines and project demands. While the role can involve tight timelines, effective time management and a supportive team can help mitigate stress. Many find the analytical challenges engaging rather than overwhelming.

Starting a career as a data analyst at 40 is entirely feasible, as many professionals successfully transition into this field later in life. With the right training and skills, age should not be a barrier to entering the data analytics profession in Kochi.

The future of data analysts is expected to see increased demand as businesses rely more on data-driven decision-making. However, advancements in AI and automation may reduce the need for certain manual tasks, reshaping the role of analysts.

It generally takes 4 months to 1 year to become a data analyst, depending on prior knowledge and training. Completing a relevant course can accelerate the process. Gaining practical experience through internships can also help.

To find the best institute for Data Analyst training in Kochi, look for institutes offering comprehensive curriculum, hands-on projects, certified trainers, placement support, and recognized certifications like IABAC® or NASSCOM FutureSkills to ensure quality learning and career growth.

Yes, data analysis is considered a high-demand field due to the increasing reliance on data-driven decision-making across industries. Organizations seek skilled analysts to interpret data and generate insights. This trend is expected to continue.

Yes, a data analyst job is generally considered part of the IT field, as it involves working with data and technology tools. Analysts often collaborate with IT teams to manage data systems and analytics platforms. The role requires a blend of technical and analytical skills.

Yes, individuals with a commerce background can pursue a data analyst course. Many programs welcome students from diverse educational backgrounds. Basic mathematical and analytical skills are beneficial, and courses often provide foundational knowledge in data analysis.

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FAQ’S OF DATA ANALYST TRAINING IN KOCHI

You can sign up for the Certified Data Analyst course in Kochi by visiting the DataMites website. Choose the course you want and click on the enrollment button. Fill in the required details and make the payment to secure your spot.

The curriculum of the DataMites Data Analyst course covers key topics like data analysis, data visualization, SQL, Python, and statistical techniques. It also includes hands-on projects and case studies to enhance practical skills.

Yes, DataMites offers job placement assistance to students completing the Data Analyst course. We will help with resume building, interview preparation, and connecting with potential employers in the industry.

A Flexi Pass for Data Analytics Certification offers participants three months of access to relevant sessions, enabling them to revisit materials and address questions. This flexible approach supports ongoing learning and revision.

DataMites provides a full refund if you withdraw within one week of the course start date and have attended at least two sessions. For specific terms, please check our website or contact our support team at care@datamites.com.

DataMites features instructors like Ashok Veda, the CEO of Rubixe, who bring extensive industry experience and expertise to our teaching. We will diverse backgrounds enhance the learning experience for students in business analytics and related fields.

The Data Analyst course at DataMites covers essential topics such as data manipulation, data cleaning, visualization tools, statistics, and machine learning basics. Students gain both theoretical and practical knowledge.

Yes, DataMites offers demo classes for prospective students. This allows you to experience the course structure and teaching style before making a decision to enroll.

Yes, DataMites allows you to attend missed sessions through recorded classes or alternate batch options, ensuring you can keep up with the course material.

Upon enrolling in the Data Analyst course in Kochi, you will receive comprehensive study materials, including textbooks and access to online resources. Additionally, you will gain practical experience through hands-on projects and assignments tailored to real-world scenarios.

Yes, DataMites includes live projects in our Data Analyst course in Kochi. This practical approach enhances learning by allowing students to apply their skills in real-world scenarios.

Yes, DataMites provides EMI options for our Data Analyst training in Kochi. This allows students to manage our course fees in affordable monthly installments. For more details, you can visit our official website or contact our support team.

Upon completing DataMites' Data Analyst course in Kochi, you will receive certifications accredited by IABAC and NASSCOM®. These certifications validate your skills and knowledge in data analytics. We will enhance your credibility in the job market and support your career advancement.

The cost of the DataMites Data Analyst course in Kochi typically ranges from ?25,000 to ?1,00,000. Prices may vary based on the specific program and any additional materials included. For the most accurate and current pricing, it’s advisable to check directly with DataMites or our website.

Yes, DataMites offers internships as part of our Data Analyst course in Kochi. This opportunity allows students to gain practical experience while applying their skills in real-world scenarios. Internships can enhance learning and improve career prospects in the field.

DataMites training center for the Data Analyst Course in Kochi is centrally located with easy access to public transport. The institute provides classroom sessions, expert mentoring, and placement support for aspiring data professionals.

Mahatma Gandhi Rd: 3rd Floor, Jos Annexe Building, Mahatma Gandhi Rd, Jos Junction, Kubz, Kochi, Ernakulam, Kerala 682015

DataMites offers one main training centre in Mahatma Gandhi Rd Kochi for its Data Analyst Course. The centre provides classroom training, hands-on projects, internships, and placement support, making it a preferred choice for learners.

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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