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PG Course in Data Science, ML & Neural Networks in Kerala in collaboration with

Aligned to Competency Standards developed by SSC NASSCOM In Collaboration with Industry and approved by Government of India

Data Science Course in Kerala

In Curriculum

ChatGPT

Be an industry ready certified Data Science professional with our exclusive Data science course in Kerala by immersive learning of Data Analysis with ML models, Visualization, Forecasting & predicting Models, NLP, Deep Learning & much more with Program in Kerala.

In Collaboration With
  • NASSCOM
    in
    Kerala
  • nasscom data science course in kerala

20 Dec, 2024

Next Batch
starts on

6 Months

Recommended
20-22 hrs/week

3 Months

Live
Internship

Online

Learning
Format

6000+

Career
Transformed

950+

Hiring
Partners

Course Description

Data Science Course in Kerala

DataTrained offers the Best Data Science Course in Kerala where you get hands-on training on all relevant and in-demand tools, learn 14+ programming tools & languages, techniques, Data Mining, Data Collection, Data Extraction, Data Cleansing, Data Exploration, fundamentals viz., (calculations, data sets, manipulation), statistical concepts (mean, median, mode, standard deviation and skewness) along with real-world scenarios applied for data analysis using graphs/charts. Apart from that, this course also builds programming skills including code solutions, algorithms and flowcharts/pseudocode.., and technologies from this Data Science Course in Kerala. Also with the most affordable Data Science Course in Kerala fees structure. Enroll Now, to start your career with this Data Science Course in Kerala.

Key Highlights

  • 3 Months of rigorous Internship - data science course in kerala3 Months of rigorous Internship
  • One-on-One interaction with Industry Mentors - data science course in keralaOne-on-One interaction with Industry Mentors
  • 40+ Live Projects along with Case Studies - data science course in kerala40+ Live Projects along with Case Studies
  • Dedicated Career Program Manager - data science course in keralaDedicated Career Program Manager
  • 360 Degree Career Guidance - data science course in kerala360 Degree Career Guidance
  • Ideal for both Fresh Graduates - data science course in keralaIdeal for both Fresh Graduates & Working Professionals
  • Unique Specializations - data science course in keralaUnique Specializations to choose from
  • Prompt Query Resolution - data science course in keralaPrompt Query Resolution

PG Program in Data Science, Machine Learning & Neural Networks

  1. ₹ 60000
    • Learners - data science course in kerala
    • Learners - data science course in kerala
    • Learners - data science course in kerala
    • Learners - data science course in kerala
    8500+ learners
Features
  • 300+ hours of learning
  • Practice Test Included
  • Certificate of completion
  • 5 Domain Specializations

6 Months PG Program in Data Science, Machine Learning & Neural Networks in collaboration with

Get eligible for 4 world-class certifications thus adding that extra edge to your resume.

  • Course completion certificate from NASSCOM
  • Project Completion Certificate from DataTrained Education
  • Course completion certificate from DataTrained Education
  • Internship Certificate from Partner Companies

Languages and Tools covered.

  • Excel - data science course in kerala
  • Python - data science course in kerala
  • Tableau - data science course in kerala
  • NLP - data science course in kerala
  • SQL server - data science course in kerala

What's the focus of the Data science course in Kerala?

Select from five Unique specializations, learn 14+ programming tools & languages, Live case studies and projects, six months of live internship, get mentorship from the industry experts, dedicated career support, and much more with the best Data science course in Kerala . The focus is also on offering most affordable Data science course in Kerala fee structure.

5 Unique Specializations - data science course in kerala

5 Unique Specializations

Get a chance to select from 5 unique specializations as per your career aspirations & academic background. Get an Executive Certification In Data Science, ML & Neural Networks In Collaboration With in Kerala.

Dedicated Career Assistance - data science course in kerala

Dedicated Career Assistance

Get a chance to Receive one on one career counseling sessions from industry experts and regular extensive mock interviews with the hiring managers. Boost your career with 950+ hiring partners from different industry domains.

Student Support - data science course in kerala

Students Support

Chat support is open from 06 AM - 11 PM IST for instant Query Resolution. Program Managers are available on call and chat, and you could also use our user-friendly ticket raising system on LMS during company hours.

Instructors

Join DataTrained – Certified curriculum and learn every skill from the industry’s best thought leaders.

Shankargouda Tegginmani - Data Scientist, Accenture

Shankargouda Tegginmani

Data Scientist, Accenture

Shankar is a data Scientist with 14 Years of Experience. His current employment is with Accenture and has experience in telecom, healthcare, finance and banking products.

Andrew Labeodan - Data Scientist, Centrica

Andrew Labeodan

Data Scientist, Centrica

Andrew is a data Scientist with 14 years of experience. His expertise spans healthcare and Energy Utilities, and he's renowned for successfully implementing data analytics in oncology.

Adedolapo Ogunlade - Data Scientist at Kaggle

Adedolapo Ogunlade

Data Scientist at Kaggle

Adedolapo is a seasoned Data Scientist at Kaggle, specializing in Machine Learning, Statistical Analysis, Data Visualization, and Data Science.

Ioannis Petridis - Data Scientist at KLDiscovery

Ioannis Petridis

Data Scientist at KLDiscovery

Ioannis Petridis is Data Scientist with 9+ years of experience, currently working in KLDiscovery. He has a deep passion in apply lean Data Science and Machine Learning solutions to solve business problems and deliver impactful and innovative products.

Data Science Course Syllabus

Best-in-class content by leading faculty and industry leaders in the form of live sessions, pre-recorded videos, projects, case studies, industry webinars, and assignments.

best data science courses online

Detailed Syllabus of Data Science Course

  • 300+ Hours of Content - data science program institute
  • 300+

    Hours of Content

  • 80+ Live Sessions - data science online training
  • 80+

    Live Sessions

  • 15 Tools and Software - best tools for data science
  • 15

    Tools and Software

Comprehensive Curriculum

The curriculum has been designed by faculty from IITs, and Expert Industry Professionals.

300+ Hours of Content - data science program institute
300+

Hours of Content

80+ Live Sessions - data science online training
80+

Live Sessions

15 Tools and Software - best tools for data science
15

Tools and Software

Foundations

The Foundations bundle comprises 2 courses where you will learn to tackle Statistics and Coding head-on. These 2 courses create a strong base for us to go through the rest of the tour with ease.

This course will introduce you to the world of Python programming language that is widely used in Artificial Intelligence and Machine Learning. We will start with basic ideas before going on to the language's important vocabulary as search phrases, syntax, or sentence building. This course will take you from the basic principles of AI and ML to the crucial ideas with Python, among the most widely used and effective programming languages in the present market. In simple terms, Python is like the English language.

Python Basics

Python is a popular high-level programming language with a simple, easy-to-understand syntax that focuses on readability. This module will guide you through the whole foundations of Python programming, culminating in the execution of your 1st Python program.

Anaconda Installation - Jupyter notebook operation

Using Jupyter Notebook, you will learn how to use Python for Artificial Intelligence and Machine Learning. We can create and share documents with narrative prose, visualizations, mathematics, and live code using this open-source online tool.

Python functions, packages and other modules

For code reusability and software modularity, functions & packages are used. In this module, you will learn how you can comprehend and use Python functions and packages for AI.

NumPy, Pandas, Visualization tools

In this module, you will learn how to use Pandas, Matplotlib, NumPy, and Seaborn to explore data sets. These are the most frequently used Python libraries. You'll also find out how to present tons of your data in simple graphs with Python libraries as Seaborn and Matplotlib.

Working with various data structures in Python, Pandas, Numpy

Understanding Data Structures is among the core components in Data Science. Additionally, data structure assists AI and ML in voice & image processing. In this module, you will learn about data structures such as Data Frames, Tuples, Lists, and arrays, & precisely how to implement them in Python.

In this module, you will learn about the words and ideas that are important to Exploratory Data Analysis and Machine Learning. You will study a specific set of tools required to assess and extract meaningful insights from data, from a simple average to the advanced process of finding statistical evidence to support or even reject wild guesses & hypotheses.

Descriptive Statistics

Descriptive Statistics is the study of data analysis that involves describing and summarising different data sets. It can be any sample of a world's production or the salaries of employees. This module will teach you how to use Python to learn Descriptive Statistics for Machine Learning.

Inferential Statistics

In this module, you will use Python to study the core ideas of using data for estimating and evaluating hypotheses. You will also learn how you can get the insight of a large population or employees of any company which can't be achieved manually.

Probability & Conditional Probability

Probability is a quantitative tool for examining unpredictability, as the possibility of an event occurring in a random occurrence. The probability of an event occurring because of the occurrence of several other occurrences is recognized as conditional probability. You will learn Probability and Conditional Probability in Python for Machine Learning in this module.

Hypothesis Testing

With this module, you will learn how to use Python for Hypothesis Testing in Machine Learning. In Applied Statistics, hypothesis testing is among the crucial steps for conducting experiments based on the observed data.

Machine Learning

Machine Learning is a part of artificial intelligence that allows software programs to boost their prediction accuracy without simply being expressly designed to do so. You will learn all the Machine Learning methods from fundamental to advanced, and the most frequently used Classical ML algorithms that fall into all of the categories.

With this module, you will learn supervised machine learning algorithms, the way they operate, and what applications they can be used for - Classification and Regression.

Linear Regression - Simple, Multiple regression

Linear Regression is one of the most popular Machine Learning algorithms for predictive studies, leading to the very best benefits. It is an algorithm that assumes the dependent and independent variables have a linear connection.

Logistic regression

Logistic Regression is one of the most popular machine learning algorithms. It is a fundamental classification technique that uses independent variables to predict binary data like 0 or 1, positive or negative , true or false, etc. In this module, you will learn all of the Logistic Regression concepts that are used in Machine Learning.

K-NN classification

k-Nearest Neighbours (Knn) is another widely used Classification algorithm, it is a basic machine learning algorithm for addressing regression and classification problems. With this module, you will learn how to use this algorithm. You will also understand the reason why it is known as the Lazy algorithm. Interesting Right?

Support vector machines

Support Vector Machine (SVM) is another important machine learning technique for regression and classification problems. In this module, you will learn how to apply the algorithm into practice and understand several ways of classifying the data.

We explore beyond the limits of supervised standalone models in this Machine Learning online course and then discover a number of ways to address them, for example Ensemble approaches.

Decision Trees

The Decision Tree algorithm is an important part of the supervised learning algorithms family. The decision tree approach can be used to resolve regression and classification problems unlike others. By learning simple decision rules inferred from previous data, the goal of using a Decision Tree is constructing a training type that will be used to predict the class or value of the target varying.

Random Forests

Random Forest is a common supervised learning technique. It consists of multiple decision trees on the different subsets of the initial dataset. The average is then calculated to enhance the dataset's prediction accuracy.

Bagging and Boosting

When the aim is to decrease the variance of a decision tree classifier, bagging is implemented. The average of all predictions from several trees is used, that is a lot more dependable than a single decision tree classifier.

Boosting is a technique for generating a set of predictions. Learners are taught gradually in this technique, with early learners fitting basic models to the data and consequently analyzing the data for errors.

In this module, you will study what Unsupervised Learning algorithms are, how they operate, and what applications they can be used for - Clustering and Dimensionality Reduction, and so on.

K-means clustering

In Machine Learning or even Data Science, K-means clustering is a common unsupervised learning method for managing clustering problems. In this module, you will learn how the algorithm works and how you can use it.

Hierarchical clustering

Hierarchical Clustering is a machine learning algorithm for creating a bunch hierarchy or tree-like structure. It is used to group a set of unlabeled datasets into a bunch in a hierarchical framework. This module will help you to use this technique.

Principal Component Analysis

PCA is a Dimensional Reduction technique for reducing a model's complexity, like reducing the number of input variables in a predictive model to avoid overfitting. Dimension Reduction PCA is also a well-known ML approach in Python, and this module will cover all that you need to know about this.

DBSCAN

Density-Based Spatial Clustering of Applications with Noise (DBSCAN) is used to identify arbitrary-shaped clusters and clusters with sound. You will learn how this algorithm will help us to identify odd ones out from the group.

Advanced Techniques

EDA - Part1

Exploratory Data Analysis (EDA) is a procedure of analyzing the data using different tools and techniques. You will learn data standardization and represent the data through different graphs to assess and make decisions for several business use cases. You will also learn all the essential encoding techniques.

EDA - Part2

You will also get a opportunity to use null values, dealing with various data and outliers preprocessing techniques to create a machine learning model.

Feature Engineering

Feature Engineering is the process of extracting features from an organization's raw data by using domain expertise. A feature is a property shared by independent units that can be used for prediction or analysis. With this module, you will learn how this works.

Feature Selection

Feature selection is also called attribute selection, variable selection, or variable subset selection. It is the process of selecting a subset of relevant features for use in model development. You can learn many techniques to do the feature selection.

Model building techniques

Here you will learn different model-building techniques using different tools

Model Tuning techniques

In this module, you can learn how to enhance model performance using advanced techniques as GridSearch CV, Randomized Search CV, cross-validation strategies, etc.

Building Pipeline

What is Modeling Pipeline and how does it work? Well, it is a set of data preparation steps, modeling functions, and prediction transform routines organized in a logical order. It allows you to specify, evaluate, and use a series of measures as an atomic unit.

ChatGpt Essentials

ChatGpt is a revolutionary AI chatbot technology that provides users with powerful tools for content generation, prompt ideas, and other features. This module will help you understand the various capabilities of this advanced technology, including its strengths and limitations.

GPT-3 (Generative Pre-trained Transformer 3) is a state-of-the-art language model developed by OpenAI. Learn about GPT-3 and its capabilities like Natural Language Understanding abd Promt Engineering.

Prompt engineering is the practice of designing and crafting effective prompts or input instructions for language models like GPT-3 to guide their generation of desired outputs. Learn to leverage the power of prompt engineering to be 10x productive like never before.

Explainable AI and model interpretability are becoming increasingly important as AI models are being used in various critical domains, such as healthcare, finance, and legal systems, where accountability, fairness, and transparency are crucial. Learn to build machine learning models using LIME & ShARP.

Dive into the GPT model and their architecture. Develop understanding about concepts like Reinforcement Learning from Human Feedback (RLHF), one-shot learning, and few shot learning.

Learn to build an AI Evaluator that automatically evaluate exam submissions by the students by leveraging the GPT and eliminating the need for training NLP models from the scratch.

Understand and learn to build a GNN model.

In depth understanding of advanced GNN.

Generative models can be used in a wide range of applications, including image generation, text generation, speech synthesis, music composition, and more. Build underderstandinng of text-to-image models and image-to-text models.

Industry Projects

Learn through real-life industry projects supported by top companies across industries and the most exclusive Data science course in Kerala.

  • Mentoring by the industry professionals - data science course in keralaMentoring by the industry professionals to learn and apply better
  • Engage in the joint projects and learn from peers - data science course in keralaEngage in the joint projects and learn from peers
  • Personalized subjective feedback - data science course in keralaPersonalized subjective feedback for your submissions to offer improvement
Smartphone and Smartwatch Activity - data science course in kerala

Smartphone and The Smartwatch Activity

The crude accelerometer & the whirligig sensor info is collected from the cell phone and smartwatch at a pace of 20Hz.

Recommendation System - data science course in kerala

Recommendation System

Organizations must be using to Recommend the Products & their Services to the People in the interconnected world.

Air Quality Study - data science course in kerala

Air Quality Study

Established on The Data Collected from Meteorological Department of the country. Forecasting Air Quality Of Different Parts of The nation.

Why to Choose DataTrained For Data science course in Kerala?

DataTrained provides the most exclusive and the best Data science course in Kerala, i.e., the PG Program in Data Science, ML, and Neural Networks. Top Data Scientists develop course with and industry experts working in the data science companies of Kerala for several decades, and the course curriculum is at par with the international industry standards. The program duration is 3 months, which perfectly balances practical and theoretical learning, covering everything from the fundamentals to advanced levels of the Data science course in Kerala across India.

Enroll today in the leading Data science course in Kerala.

Internship - data science course in kerala

With the Data science course in Kerala, Datatrained offers 3 Months internship to ensure that our students graduate as experienced and skilled data science professionals and are no fresher. Datatrained also allows you to go for the online internship for working professionals.

Resume Feedback - data science course in kerala

DataTrained has collaborated with IIMJobs for the Top Data science course in Kerala, which offers you access to their paid resume preparation kit & their personal feedback from experts from HR domain. Experts prepare the individual career profile per the candidate's experience to ensure that it is relevant to data science role.

Interview Preparation - data science course in kerala

Regular mock HR interviews with Technical interviews by mentors with personal support & guidance to each student. Industry mentors facilitate students to take projects so that their resume looks competitive and professional to the recruiters.

Career Impact

DataTrained, in collab with , delivers the best online Data science course in Kerala. Over 150,000 Careers have been Transformed till now and counting.

DataTrained has supported me with the critical skills required for a data scientist position. The trainer begins with an example to helps us build the Algorithms with real industry data sets. DT brings the power of online learning and Mentorship, Counseling, Live Sessions, and 3 months Internships.

Aaruni Khare, Data Scientist, RBS - data science course in kerala
Aruni Khare Data Scientist, RBS

I saw an ad from DT on Facebook, contacted them immediately & enquired about their Data Science course. Counselor took me through the whole content of what they offer & what data science is all about. After continued conversation for few weeks, I was relatively sure about the course, & now I knew where to invest my money & hard work.

Rakshit Jain, Data Scientist, Optum - data science course in kerala
Rakshit Jain Data Scientist, Optum

The program is well-balanced blend of pre-recorded classes, weekend live sessions, and hardcopy reading materials they sent to my address. My mentor Amit Kaushik assisted me in getting that confidence and complete my assignments on time. I have nearly completed data science course & have been able to crack the Glenmark interview. Thank you so much, DataTrained.

Rupam Kumar Chaurasia, Head Sales, Glenmark - data science course in kerala
Rupam Kumar Chaurasia Head Sales, Glenmark
66% Average Salary Hike - data science course in kerala 66%

Average Salary Hike

Upto 25LPA Highest Salary - data science course in kerala Upto 25LPA

Highest Salary

7k+ Jobs Sourced  - data science course in kerala 7k+

Jobs Sourced

950+ Hiring Partners  - data science course in kerala 950+

Hiring Partners

Admission Process

There are three simple steps in Admission Process, which are detailed below.

Step 1: Fill in a Query Form

Please fill up Query Form, & one of our counselors will call you & understand your Data science course in Kerala eligibility.

Step 2: Get Shortlisted and Receive a Call

Our Admissions Team will review your profile. After successfully qualifying, an Email will be sent to you confirming your admission to the program.

Step 3: Book your Seat and Start the Prep Course

Block your seat with the payment of fee to register in the program. Start with your Prep course & start your Data Science journey!

Data Science Course Fee

₹ 60000 + GST

No Cost EMI options are also available. *

data science course in kerala fees

I’m interested in this program

What's Included in the Price

Access to real-life 40 industry projects

3 Months online Internship part of the core curriculum

For Queries and Suggestions

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Data Science Trends in Kerala

The Internet of Things (IoT) is syncing and connecting all intelligent digital meshes, smart devices, apps, and people. The applications of data science field are far more sophisticated in the future.

Data science applications will offer clients a tailored experience through chatbots, augmented reality, and virtual reality, which will improve marketing and customer care services with product visualization and live demos.

Jobs or Vacancies in the field of Data Science in Kerala

E-commerce, social networking, call records, the Internet of Things, and other activities generate much data. Sophisticated tools and processes are required to handle, store, and analyze this data, which is continuously growing with time. Because of this, there will be a strong demand for and scope for data science specialists in the future, especially in the Kerala region.

Salary in Kerala for Data Science Professionals

In the Kerala region, the typical annual earnings for a data scientist is ₹ 8,17,728 per year. The supplemental cash salary for a data scientist in the Kerala area ranges from ₹ 50,000 to ₹ 5,40,000, with an average of ₹ 1,52,410. Salary estimates are based on 689 anonymous salaries posted by Data Scientist employees in the Kerala region on online platforms.

Data science course in Kerala

India's Malabar Coast is home to the state of Kerala. After the States Reorganisation Act was passed, it was created on 1 November 1956 by joining the Malayalam-speaking parts of the former territories of Cochin, Malabar, South Canara, and Travancore. Kerala, which covers 38,863 km2 (15,005 sq mi), is the 21st-largest Indian state in terms of land area. To the north and northeast, Karnataka; to the east and south, Tamil Nadu; and to the west, the Lakshadweep Sea. Kerala is the thirteenth-largest Indian state by population, with 33 million residents as per the 2011 Census. Thiruvananthapuram serves as the capital and is split into 14 districts. The state's official language and the most generally used tongue is Malayalam. Here are some popular attractions in Kerala:

Frequently Asked Questions

DataTrained's main goal is to provide the Best data science course fees in Kerala at a reasonable cost. Compared to other providers, we have a more reasonable pricing structure for our data science courses in Kerala, and our costs are lower.

We also offer cost-free EMI payments for the fees of data science courses in Kerala for the convenience of the students. We work hard to provide the best counselling services, a cost-effective, high-quality education, and work experience.

We work with the most prestigious companies to place our students in a variety of Data Science professions. We pledge to make Data Science training available to everyone who is interested in learning. Please contact us to find out more.

Data science is not simply for people with a background in programming. Because it is such a broad topic, everyone can learn more about it. However, it is equally important to determine whether or not coding expertise is required.

It doesn't matter how much code you know if you want to work as a data scientist; what matters is that you have a firm grasp of and comfort level with basic programming.

A person must understand the basics of programming. This includes functions, if-else expressions, mean loops, and other programming constructs. A strong understanding of coding would be desirable for someone who wishes to work as a data scientist.

After completing the Data Science Course in Kerala, you would be qualified for a range of opportunities in the data science sector. Some of the data science jobs for which you might be qualified include the following:

  • Data Analyst
  • Data Engineer
  • Data Scientist
  • Database Administrator
  • Data Architect
  • Statistician
  • Business Analyst
  • Data and Analytics Manager
  • Machine Learning Engineer

To enroll in the Data Science course in Kerala, applicants must have a university-affiliated degree certificate. If aspirants have any questions about the eligibility process, please contact our helpline numbers. Following that, you must complete a brief form with your relevant information.

Our management will offer you access to the LMS or Learning Management System once you have submitted fees for your data science course in Kerala. This platform allows you to easily locate all of the pre-recorded videos pertaining to your course, allowing you to have a solid foundation for engaging with the instructors during the live session classes.

Yes, the DataTrained Data Science course in Kerala is suitable for freshers or beginners interested in pursuing a Data Science career. Our mentors will teach you from the scratch to an expert level, allowing you to pursue this Data Science course in Kerala even if you have no technical skills.

If you have doubts regarding the topics on the syllabus during the session, our mentors will guide you through and make sure that they are resolved as quickly as feasible. So, what are you holding out for? Join us now!

You are eligible for a refund of the Booking Amount if you cancel your course within 7 calendar days of the Course Registration Date, which is the date of payment. However, this refund policy does not supersede any course-specific refund terms. Please consult your counselor for more information about the respective course's refund terms.