4.8 (26,680) reviews 110,000
59,451*
NO COST EMI : 9,909 p.m for 6 Months
*Offer valid till 7th September 2025
Instructor Led Live Online
Self Learning + Live Mentoring
In - Person Classroom Training
MODULE 1: DATA SCIENCE ESSENTIALS
• Introduction to Data Science
• Evolution of Data Science
• Big Data Vs Data Science
• Data Science Terminologies
• Data Science vs AI/Machine Learning
• Data Science vs Analytics
MODULE 2: DATA SCIENCE DEMO
• Business Requirement: Use Case
• Data Preparation
• Machine learning Model building
• Prediction with ML model
• Delivering Business Value.
MODULE 3: ANALYTICS CLASSIFICATION
• Types of Analytics
• Descriptive Analytics
• Diagnostic Analytics
• Predictive Analytics
• Prescriptive Analytics
• EDA and insight gathering demo in Tableau
MODULE 4: DATA SCIENCE AND RELATED FIELDS
• Introduction to AI
• Introduction to Computer Vision
• Introduction to Natural Language Processing
• Introduction to Reinforcement Learning
• Introduction to GAN
• Introduction to Generative Passive Models
MODULE 5: DATA SCIENCE ROLES & WORKFLOW
• Data Science Project workflow
• Roles: Data Engineer, Data Scientist, ML Engineer and MLOps Engineer
• Data Science Project stages.
MODULE 6: MACHINE LEARNING INTRODUCTION
• What Is ML? ML Vs AI
• ML Workflow, Popular ML Algorithms
• Clustering, Classification And Regression
• Supervised Vs Unsupervised
MODULE 7: DATA SCIENCE INDUSTRY APPLICATIONS
• Data Science in Finance and Banking
• Data Science in Retail
• Data Science in Health Care
• Data Science in Logistics and Supply Chain
• Data Science in Technology Industry
• Data Science in Manufacturing
• Data Science in Agriculture
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
• Empirical Rule and Outliers
• Central Limit Theorem
• Normality Testing
• Skewness & Kurtosis
• Measures Of Distance: Euclidean, Manhattan And Minkowski Distance
• 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: MACHINE LEARNING INTRODUCTION
• What Is ML? ML Vs AI
• Clustering, Classification And Regression
• Supervised Vs Unsupervised
MODULE 2: PYTHON NUMPY PACKAGE
• Introduction to Numpy Package
• Array as Data Structure
• Core Numpy functions
• Matrix Operations, Broadcasting in Arrays
MODULE 3: PYTHON PANDAS PACKAGE
• Introduction to Pandas package
• Series in Pandas
• Data Frame in Pandas
• File Reading in Pandas
• Data munging with Pandas
MODULE 4: VISUALIZATION WITH PYTHON - Matplotlib
• Visualization Packages (Matplotlib)
• Components Of A Plot, Sub-Plots
• Basic Plots: Line, Bar, Pie, Scatter
MODULE 5: PYTHON VISUALIZATION PACKAGE - SEABORN
• Seaborn: Basic Plot
• Advanced Python Data Visualizations
MODULE 6: ML ALGO: LINEAR REGRESSSION
• Introduction to Linear Regression
• How it works: Regression and Best Fit Line
• Modeling and Evaluation in Python
MODULE 7: ML ALGO: LOGISTIC REGRESSION
• Introduction to Logistic Regression
• How it works: Classification & Sigmoid Curve
• Modeling and Evaluation in Python
MODULE 8: ML ALGO: K MEANS CLUSTERING
• Understanding Clustering (Unsupervised)
• K Means Algorithm
• How it works : K Means theory
• Modeling in Python
MODULE 9: ML ALGO: KNN
• Introduction to KNN
• How It Works: Nearest Neighbor Concept
• Modeling and Evaluation in Python
MODULE 1: FEATURE ENGINEERING
• Introduction to Feature Engineering
• Feature Engineering Techniques: Encoding, Scaling, Data Transformation
• Handling Missing values, handling outliers
• Creation of Pipeline
• Use case for feature engineering
MODULE 2: ML ALGO: SUPPORT VECTOR MACHINE (SVM)
• Introduction to SVM
• How It Works: SVM Concept, Kernel Trick
• Modeling and Evaluation of SVM in Python
MODULE 3: PRINCIPAL COMPONENT ANALYSIS (PCA)
• Building Blocks Of PCA
• How it works: Finding Principal Components
• Modeling PCA in Python
MODULE 4: ML ALGO: DECISION TREE
• Introduction to Decision Tree & Random Forest
• How it works
• Modeling and Evaluation in Python
MODULE 5: ENSEMBLE TECHNIQUES - BAGGING
• Introduction to Ensemble technique
• Bagging and How it works
• Modeling and Evaluation in Python
MODULE 6: ML ALGO: NAÏVE BAYES
• Introduction to Naive Bayes
• How it works: Bayes' Theorem
• Naive Bayes For Text Classification
• Modeling and Evaluation in Python
MODULE 7: GRADIENT BOOSTING, XGBOOST
• Introduction to Boosting and XGBoost
• How it works?
• Modeling and Evaluation of in Python
MODULE 1: TIME SERIES FORECASTING - ARIMA
• What is Time Series?
• Trend, Seasonality, cyclical and random
• Stationarity of Time Series
• Autoregressive Model (AR)
• Moving Average Model (MA)
• ARIMA Model
• Autocorrelation and AIC
• Time Series Analysis in Python
MODULE 2: SENTIMENT ANALYSIS
• Introduction to Sentiment Analysis
• NLTK Package
• Case study: Sentiment Analysis on Movie Reviews
MODULE 3: REGULAR EXPRESSIONS WITH PYTHON
• Regex Introduction
• Regex codes
• Text extraction with Python Regex
MODULE 4: ML MODEL DEPLOYMENT WITH FLASK
• Introduction to Flask
• URL and App routing
• Flask application – ML Model deployment
MODULE 5: ADVANCED DATA ANALYSIS WITH MS EXCEL
• MS Excel core Functions
• Advanced Functions (VLOOKUP, INDIRECT..)
• Linear Regression with EXCEL
• Data Table
• Goal Seek Analysis
• Pivot Table
• Solving Data Equation with EXCEL
MODULE 6: AWS CLOUD FOR DATA SCIENCE
• Introduction of cloud
• Difference between GCC, Azure, AWS
• AWS Service ( EC2 instance)
MODULE 7: AZURE FOR DATA SCIENCE
• Introduction to AZURE ML studio
• Data Pipeline
• ML modeling with Azure
MODULE 8: INTRODUCTION TO DEEP LEARNING
• Introduction to Artificial Neural Network, Architecture
• Artificial Neural Network in Python
• Introduction to Convolutional Neural Network, Architecture
• Convolutional Neural Network in Python
MODULE 1: DATABASE INTRODUCTION
• DATABASE Overview
• Key concepts of database management
• Relational Database Management System
• CRUD operations
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 function: 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
MODULE 1: GIT INTRODUCTION
• Purpose of Version Control
• Popular Version control tools
• Git Distribution Version Control
• Terminologies
• Git Workflow
• Git Architecture
MODULE 2: GIT REPOSITORY and GitHub
• Git Repo Introduction
• Create New Repo with Init command
• Git Essentials: Copy & User Setup
• Mastering Git and GitHub
MODULE 3: COMMITS, PULL, FETCH AND PUSH
• Code Commits
• Pull, Fetch and Conflicts resolution
• Pushing to Remote Repo
MODULE 4: TAGGING, BRANCHING AND MERGING
• Organize code with branches
• Checkout branch
• Merge branches
• Editing Commits
• Commit command Amend flag
• Git reset and revert
MODULE 5: GIT WITH GITHUB AND BITBUCKET
• Creating GitHub Account
• Local and Remote Repo
• Collaborating with other developers
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
Enrolling at DataMites was one of the best decisions I made for my career. Coming from a freelance writing background with no prior technical experience, I was initially unsure about stepping into the field of data analytics. But DataMites made the transition smooth and achievable. I’d highly recommend them to anyone looking for a guided, industry-ready data analytics course. A true DataMites success story!
Anyone with a basic understanding of mathematics and statistics can enroll in the data science course in Kochi. The program is ideal for both recent graduates and working professionals, and while prior programming experience can be helpful, it is not mandatory.
Many institutes provide Data Science courses in Kochi, but DataMites stands out as a preferred option. It delivers in-depth training, globally recognized certifications, and real-world projects to enhance practical skills. With experienced instructors and dedicated career guidance, DataMites equips learners with a strong foundation in Data Science, preparing them for successful professional growth.
Analytical skills
Basic knowledge of Mathematics and Statistics
Knowledge of coding
Skills of working with programming languages like ‘R’ and Python.
The Certified Data Scientist course in Kochi is one that combines comprehensive training in machine learning, AI, statistics, and big data with hands-on projects and practical exposure, ensuring learners gain the skills needed for strong career growth in data-driven industries.
As far as Data Scientist is concerned Python is the most effective programming language, with a lot of libraries available. Python can be deployed at every phase of data science functions. It is beneficial in capturing data and importing it into SQL. Python can also be used to create data sets.
Data Science is all about managing a set of information received from various sources, to arrive at conclusions. The data that is acquired needs to be analysed and decisions need to be taken. Statistics makes it easier to work on data. Various statistical techniques such as Classification, Regression, Hypothesis Testing, Time Series Analysis is used to construct data models. With the help of Statistics, a Data Scientist can gain better insights, which enables to effectively streamline the decision-making process.
The different roles, Data Science is subjected to, in an organisation.
Analysing and managing projects.
Employing various data models.
Making use of sampling techniques
Prediction and Analysis
Segmentation through clustering technique
Making use of Linear and Logistics regression methods
The duration of the Data Science course in Kochi is 8 months, a total of 120 hours of training. The training sessions are provided on weekdays and weekends. You can opt between the two, as per your convenience.
The core components of data science are:
The Data Science course fee in Kochi typically ranges from Rs 15,000 to Rs 2,50,000, varying with the institute, course duration, and training mode. Learners can choose from online, classroom, or self-paced options based on their needs.
Data Science is a vast subject for study, it is a mix of Statistics and Computer Science. DataMites in Kochi, offers quality training sessions in Data Science, Artificial Intelligence, Machine Learning etc. The data science courses provided by DataMites in Kochi are exclusively designed in tune with the current industry requirements. Also with many projects to work on, under the mentoring of industry experts.
Data science jobs in Kochi remain highly sought after across various industries. Organizations are increasingly leveraging data-driven insights to guide their decisions. Over the next decade, employment in this field is expected to grow substantially, with opportunities expanding in AI, machine learning, and analytics within the city.
Kochi is known as the technological hub of India, with lots of business opportunities and large corporate houses adorning the city. This, in turn, contributes to new employment opportunities being created. Hence opting for a Data Science course in Kochi will help an individual to leverage the available possibilities in the best manner, to land a career in Data Science.
Data Scientists have been in great demand in Kochi. As an acknowledgement to this rising demand, DataMites has come with the Certified Data Scientist course in Kochi. The course covers all the areas of Data Science, Machine Learning, basics of Mathematics and Statistics, etc. Also, the Certified Data Scientist course, covers all the practical aspects of the knowledge required to become a Data Scientist.
Kochi, in India, is known as the technological hub of India, with lots of business opportunities. It consists of many large companies, business houses, with large amounts of transactions happening every day, as a result of which there is an equally large amount of data generated daily. Also, India is known for many recognised universities. Learning Data Science in India will be a great opportunity for students as well as professionals. Graduates freshers and employees working in organisations can leverage these opportunities to easily land a Data Science job.
Kochi has several large companies, Banking and Financial institutions, Insurance companies, Automobile companies, Manufacturing enterprises, as a result, Kochi happens to be the most sought after city when it comes to career opportunities in Data Science.
Kochi is a city that is always bustling with business activities, financial transactions happening in huge volumes. Hence it serves to be a great opportunity for starting a Data Science Career in Kochi.
As per the reports published by Indeed.com, the average salary of Data Scientists in Kochi is ₹ 8,37,198 annually.
A large amount of data is being generated through various activities daily. For instance, data of investments done in the stock market, data of the financial transactions, data with regards to the browsing history. The company which you are associated with records and maintains your data. For example, when you make regular online purchases, the provider collects all the information on your activity and stores it securely. It then makes use of the same data to make further product recommendations. Different companies use data in different ways.
Small-sized companies employ Google Analytics for analyzing the small size of data.
Medium-sized companies have data that will need a Machine Learning Expert to work on it.
Big sized companies may need data science professionals who are experts in Machine Learning and Data Visualization.
Data Science is all about the collection and classification of information and using the same to derive insights. Python and R are the two programming languages that are used in the data science process. Some of the reasons, for python being the most preferred programming language in comparison to R:-
Easy to learn: Python is easier to understand and master, in comparison to R
Flexible: The flexibility offered by Python offers is better when compared to the R programming language.
Availability of libraries:- Python has a wide range of libraries available, such as pandas, scikit-learn, etc. This makes it easier in handling machine learning projects.
Data visualization: By using matplotlib in Python, you can do the plotting of complex data representations into 2D plots. Data visualization is a significant process in the job of a data scientist. Python can be used for Data Visualisation.
Yes, coding skills are important for a career in data science. Most tasks, including data analysis, visualization, and machine learning, require basic knowledge of languages like Python, R, or SQL. While some tools offer no-code options, programming makes it easier to handle complex, real-world data problems effectively.
Kochi features key areas like Kakkanad (682030) and Edappally (682024), both bustling commercial and IT hubs, and Marine Drive (682031), which hosts several educational institutes and training centers. Neighborhoods such as MG Road (682016), Palarivattom (682025), and Kaloor (682017) offer a mix of residential and commercial spaces, making access to data science training convenient. The branch is also easily reachable from nearby localities including Vyttila (682019), Ernakulam North (682018), Ernakulam South (682016), Elamakkara (682026), Kadavanthra (682020), and Pathadipalam (682024). Major areas in Kochi are well connected, providing easy access for students and professionals pursuing data science courses with hands-on training and practical applications.
Common challenges in data science include cleaning and organizing large datasets, dealing with inconsistent or missing data, ensuring data security and privacy, selecting the right algorithms, and translating complex analytical results into practical business strategies.
Data science mainly uses Python, R, and SQL for analysis, Tableau or Power BI for visualization, and tools like TensorFlow, Hadoop, and cloud platforms for machine learning and big data handling.
Yes, DataMites Kochi offers a Data Science course that includes placement assistance. The program provides hands-on training, live projects, and career support to help learners secure data-focused roles.
DataMites provides Data Science courses in Kochi with a well-structured curriculum, expert instructors, and dedicated placement support. The programs emphasize industry-relevant tools and skills, preparing students for successful careers in data science. Joining DataMites ensures a clear learning path along with professional mentorship.
The Data Science course at DataMites Kochi spans 8 months, offering 120 hours of training. It includes live projects, internships, and placement assistance. Both online and classroom training options are available.
The DataMites Data Science course fee in Kochi varies depending on the learning mode. The live virtual program is priced at INR 60,000, the blended learning option costs INR 35,000, and the classroom training is available for INR 65,000. For the most accurate and updated fee details, it is recommended to contact the Kochi center directly.
Anyone with a basic understanding of mathematics and statistics can enroll in DataMites' Data Science courses. The programs are designed for fresh graduates, working professionals, and anyone interested in transitioning into data science roles. Prior programming experience is helpful but not mandatory, as foundational training is provided.
Yes, DataMites Kochi offers EMI options, enabling students to pay the course fees in easy monthly installments, making the program more flexible and affordable.
Yes, DataMites Kochi offers Data Science courses that include internships. These programs feature live projects and internship certificates, providing practical experience to students. Both classroom and online classes are available.
DataMites in Kochi offers globally recognised certifications in collaboration with IABAC for courses in Data Science, Artificial Intelligence and Machine Learning. IABAC is a global body, which offers certifications in Business Analytics and Data Science. IABAC is founded on the principles of EDISON Data Science Framework (EDSF). Machine Learning, Artificial Intelligence. All the data science certifications offered by DataMites are structured based on the industry trends.
Enrolling for online training online is very simple. The payment can be done using your debit/credit card that includes Visa Card, MasterCard; American Express or via PayPal. You will receive the receipt after the payment is successful. In case of more queries you can get in touch with our educational educational counselor who will guide you with the same.
DataMites Kochi provides a full refund if cancellation is requested within one week of the course start, as long as at least two sessions have been attended. Refunds are typically processed within 5–7 business days and are not applicable after six months from enrollment.
Yes, DataMites Kochi offers free demo classes for DataMites Data Science courses. These sessions allow prospective students to experience the training methodology, interact with instructors, and understand the course structure before making a commitment. It’s an excellent opportunity to assess if the program aligns with your learning goals.
DataMites Kochi’s data science trainers are experienced industry professionals with strong expertise in both concepts and real-world applications. They provide comprehensive training along with personalized guidance to help students succeed.
The DataMites Data Science course in Kochi covers data science fundamentals, Python programming, statistics, machine learning, deep learning, big data technologies, and real-world project execution, providing practical, industry-ready skills.
Yes, DataMites Kochi offers Data Science courses that include live projects. These projects are conducted under the guidance of industry experts, providing students with practical experience and exposure to real-world scenarios. Both classroom and online training options are available, along with internship opportunities and certification upon completion.
Yes, DataMites offers an online Data Science course in Kochi with live projects, giving students practical experience in real-world scenarios. This hands-on approach enhances learning, prepares them for industry challenges, and builds the skills needed for a successful data science career.
The Certified Data Scientist program at DataMites covers data science fundamentals, Python programming, statistics, machine learning, deep learning, big data technologies, and real-world project execution, providing practical, industry-ready skills.
The training sessions provided by DataMites in Kochi are primarily online. However, classroom training can be made available if there is adequate demand.
DataMites is a training provider that imparts quality training and upskilling in Data Science, for freshers who are data enthusiasts and professionals who wish to enhance their career possibilities. Above all DataMites offers the following;-
Industry aligned courses
Online sessions that ensure good engagement.
Expert Trainers, who possess a vast knowledge of the subject matter.
Case studies approach, which delved deep into the practical application of the concepts.
Opportunity to get connected with a network of Data Science professionals.
Career Guidance
Opportunity to work on projects
DataMites provides Flexi Pass, which gives you the privilege to attend unlimited batches in a year. The Flexi pass is specific to one particular course. Therefore if you have a Flexi pass for one particular course of your choice, you will be able to attend any number of sessions of that course. It is to be noted that a Flexi pass is valid for a particular period.
Yes, DataMites offers certification upon completion of DataMites data science courses. The Certified Data Scientist program is accredited by IABAC and NASSCOM FutureSkills, ensuring that the certification holds industry recognition.
All the online sessions are recorded and will be shared with the candidates. If you miss any of the online sessions, you can still have access to the recordings later.
DataMites Kochi is easily accessible from key areas such as MG Road (682016) and Marine Drive (682031), popular commercial zones, and Kaloor (682017), home to several educational institutes. Residential and mixed-use neighborhoods like Panampilly Nagar (682036), Edapally (682024), and Palarivattom (682025) provide convenient access to training centers. The branch is also well connected to nearby localities including Kakkanad (682037), Vyttila (682019), Elamakkara (682026), Poonithura (682038), Thrikkakara (682021), Kochi Metro areas (682018), and Chittoor (682035), making it easy for students and professionals to attend data science courses.
DataMites offers multiple payment options, including debit/credit cards (Visa, MasterCard, American Express) and PayPal. After payment, students receive course materials and enrollment confirmation, with an educational counselor available to guide them through the process.
DataMites Kochi provides both online and offline data science courses, giving students the flexibility to choose the mode that suits their schedule and learning style. The curriculum and teaching quality remain the same in both formats. The DataMites Kochi center is situated at 3rd Floor, Jos Annexe Building, Mahatma Gandhi Rd, Jos Junction, Kubz, Kochi, Ernakulam, Kerala 682015.
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: -
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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