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Data Science With Machine Learning Training In Omr

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Join Our 100% Job-Guaranteed Data Science with Machine Learning Course in OMR. We Provide Quality Data Science with Machine Learning training with an affordable Cost in OMR. Our Data Science with Machine Learning Syllabus Covers Python programming, statistical analysis, data preprocessing, supervised and unsupervised learning, deep learning basics, model evaluation, and deployment techniques. At Softlogic Systems, you’ll earn globally recognized certifications, build real-time projects, and receive complete placement assistance to launch a successful career in your chosen field.

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Course Syllabus

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Fees, Duration & Batch Timings for Data Science with Machine Learning Course

Hands On Training
3-5 Real Time Projects
60-100 Practical Assignments
3+ Assessments / Mock Interviews
June 2026
Week days
(Mon-Fri)
Online/Offline

2 Hours Real Time Interactive Technical Training 

1 Hour Aptitude 

1 Hour Communication & Soft Skills

(Suitable for Fresh Jobseekers / Non IT to IT transition)

Course Fee
June 2026
Week ends
(Sat-Sun)
Online/Offline

4 Hours Real Time Interactive Technical Training

(Suitable for working IT Professionals)

Course Fee

Save up to 20% in your Course Fee on our Job Seeker Course Series

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Syllabus of Data Science with Machine Learning Course

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  • Java Programming Language Keywords
  • Literals and Ranges of All Primitive
  • Data Types
  • Array Declaration, Construction, and Initialization
  • Declarations and Modifiers
  • Declaration Rules
  • Interface Implementation
  • Benefits of Encapsulation
  • Overridden and Overloaded Methods
  • Constructors and Instantiation
  • Legal Return Types
  • Writing Code Using if and switch statements
  • Writing Code Using Loops
  • Handling Exceptions
  • Working with the Assertion Mechanism
  • Write Java Programs
  • Setting up TestNG
  • Testing with TestNG
  • Composing test and test suites
  • Generating and analyzing HTML test reports
  • Troubleshooting
  • Introducing Machine Learning
  • To Automate or Not to Automate?
  • Test Automation for Web Applications
  • Machine Learning Components
  • Supported Browsers
  • Flexibility and Extensibility
  • Introduction
  • Installing the IDE
  • Opening the IDE
  • IDE Features
  • Building Test Cases
  • Running Test Cases
  • Debugging
  • Writing a Test Suite
  • Executing Machine Learning -IDE Tests on Different Browsers
  • Understanding of Source files and Target
  • XPATH and different techniques
  • Using attribute
  • Text ()
  • Following
  • Introduction
  • How Machine Learning Works
  • Installation
  • Configuring Machine Learning With Eclipse
  • Machine Learning RC Vs Machine Learning
  • Programming your tests in WebDriver
  • Debugging WebDriver test cases
  • Troubleshooting
  • Handling HTTPS and Security Pop-ups
  • Running tests in different browsers
  • Handle Alerts / Pop-ups and Multiple Windows using WebDriver
  • Introducing Test Design
  • What to Test
  • Verifying Results
  • Choosing a Location Strategy
  • UI Mapping
  • Handling Errors
  • Testing Ajax Applications
  • How to debug the test scripts
  • Reading test data from excel file
  • Writing data to excel file
  • Reading test configuration data from text file
  • Test logging
  • Machine Learning Grid Overview
  • What is a Framework
  • Types of Frameworks
  • Modular framework
  • Data Driven framework
  • Keyword driven framework
  • Hybrid framework
  • Use of Framework
  • Develop a framework using TestNG/WebDriver
  • A brief history of python
  • Application and trends in python
  • Available python versions
  • Getting and installing python
  • Environmental variables and idle
  • Executing python from command line
  • I/o
  • Naming conventions
  • Datatypes:
  • Numbers
  • String
  • List
  • Tuple
  • Dictionary
  • Set
  • List, Tuple, Dictionary, Set Methods
  • Statements: If, elif, Break, Continue
  • Loops: For loop, while loop
  • Functions
  • Class and objects
  • Getters and setters
  • Properties
  • Inheritance
  • Polymorphism
  • Special Functions of Python: Lambda, Map, Reduce, Filter
  • Math
  • Arrow
  • Geopy
  • Beautiful soup
  • Numpy
  • Sys
  • Os
  • Introducing threads and life cycles
  • Priorities
  • Dead Locks
  • Errors
  • Runtime errors
  • Exceptional model
  • Exceptional hierarchy
  • Handling multiple exception
  • Raise exceptions

Objectives of Data Science with Machine Learning Training

By the end of this data science with machine learning course, students will have expertise in the following:

  • Understanding of the components of using data to learn models
  • Familiarize with a broad range of machine learning algorithms
  • Know the process for assessing models created using data.
  • Utilize the algorithms on a real-world problem
  • Optimize the models that have been learned
  • Report on the predicted accuracy you can get by using models skilled in data analysis and statistical modeling, as well as the utilization of computational tools.
  • Use statistical and computational methods to solve practical issues, and deliver the findings in written reports and public presentations with clarity.
  • Learn the value of appropriate data management, 
  • Know how to evaluate a data science project’s ethical considerations and how to document work to enable the consistency of outcomes.

Why Softlogic Systems is the Best Choice for Data Science with Machine Learning Training – Learn, Practice, and Get Placed!

Crowdfunding Platform
Online & Offline Training Options
Learn at your convenience with flexible classroom and live online training.
Learn from 100+ Real-Time Developers
Get trained by industry professionals with years of hands-on experience.
Voting System with Python Django
Hands-on Projects & Codeathons
Practice with real-time projects and coding challenges to build confidence.
0% EMI Fee Options
Pay your course fees flexibly with easy EMI plans at zero interest.
Resume & Interview Support
Get expert help with resume building, mock interviews, and soft skills.
Placement with Top IT Firms
Access placement opportunities with leading MNCs and IT companies.
1000+ Hiring Partners
Benefit from Softlogic’s strong recruiter network for faster job placement.
No Backdoor Jobs
We ensure only genuine placement opportunities with trusted companies.
Want to Speak to a Trainer about Data Science with Machine Learning?Request a Free Callback

Highlights of Data Science with Machine Learning Course

Discovering patterns in unprocessed data is at the core of data science. By thoroughly analyzing the data, complex patterns and trends can be understood.

Machine learning can be useful in this situation. Machine learning technology makes automation and real-time prediction of vast amounts of data possible, eliminating the need for human intervention.

Machine learning is important for data science so learning data science with machine learning concepts is important to you too. Here are the reasons why machine learning knowledge is important to becoming a data scientist:

  • Understanding the business problem
  • Collect relevant data efficiently
  • Data preparation and data cleaning
  • Perform exploratory data analysis (EDA)
  • Feature engineering
  • Model training and evaluation
  • Hyperparameter tuning
  • Making predictions for the deployment

Though it’s not necessary, having some prior experience with Java and statistics can help speed up the learning process. Python proficiency is also advantageous. 

Our Data Science with Machine Learning Course in OMR is suitable for:

  • Students
  • Professionals seeking a career change
  • Job Seekers

The starting machine learning with data science course fees in OMR is ₹42,500. The duration of the data science with machine learning training is 4 months. You can get in touch with our career counselor directly for more information about our data science with machine learning course, including fees, schedule, and available slots.

Data science with machine learning skills is one of the most promising and in-demand careers for qualified people. Among the most sought-after positions are: 

  • Data Scientists
  • Data Engineers
  • Database Administrators
  • Machine Learning Engineers
  • Data and Analytics Manager
  • Data Architect
  • Statistician
  • Business Analyst

With multiple 6-figure job titles, machine learning is one of the highest-paying professions in the IT sector. With machine learning expertise, a data scientist in India can start off earning between ₹3.5 lakhs and ₹60.0 lakhs, with an average annual pay of ₹27.9 lakhs. Reshape your career for the best data scientist salary with machine learning skills.

Real-time machine learning and data science applications are widely accessible. Among the real-time data science uses of machine learning are:

  • Healthcare
  • Transportation
  • Sports
  • Government
  • E-commerce
  • Gaming
  • Social Media Platforms
  • Fintech Solutions

Boost Your Skills with Our Data Science with Machine Learning Training Experts

Our Mentors are from Top Companies like:
  • Our trainers are extremely knowledgeable and have worked with data science and machine learning training for more than ten years.
  • They specialize in showing clients how to use the many data science and machine learning tools, assisting them in realizing the significance of each tool before proceeding.
  • They are highly skilled in using machine learning to create models, imparting software fundamentals to students, and helping them gain practical experience in a variety of technical domains.
  • They offer precise advice on data auditing, data cleaning, data visualization, and data analysis to develop machine learning applications.
  • Our trainers in our data science with machine learning training institute in OMR have held multiple workshops where they have explained the intricacies of data science and given a thorough rundown of the product. 
  • They have honed a broad range of technical problem-solving abilities appropriate for diverse corporate settings and are renowned for their capacity to offer in-depth analysis and visualization of intricate data produced by data science.
  • They adopt new technologies quickly, come up with creative fixes for challenging issues, and are exceptionally skilled at both theoretical and applied machine learning programming.
  • They are capable of working both independently and in student teams, and they can effectively train any size group.
  • Their strong interpersonal and communication abilities enable them to collaborate with the learners efficiently. 
Want to Speak to a Trainer about Data Science with Machine Learning?Request a Free Callback

What Modes of Training are available for Data Science with Machine Learning Course?

Offline / Classroom Training

A Personalized Learning Experience with Direct Trainer Engagement!
  • Direct Interaction with the Trainer
  • Clarify doubts then and there
  • Airconditioned Premium Classrooms and Lab with all amenities
  • Codeathon Practices
  • Direct Aptitude Training
  • Live Interview Skills Training
  • Direct Panel Mock Interviews
  • Campus Drives
  • 100% Placement Support
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Online Training

Interactive Quiz Website
Instructor Led Live Training! Learn at the comfort of your home
  • No Recorded Sessions
  • Live Virtual Interaction with the Trainer
  • Clarify doubts then and there virtually
  • Live Virtual Interview Skills Training
  • Live Virtual Aptitude Training
  • Online Panel Mock Interviews
  • 100% Placement Support
Explore Online Courses

Corporate Training

Blended Delivery model (both Online and Offline as per Clients’ requirement)
  • Industry endorsed Skilled Faculties
  • Flexible Pricing Options
  • Customized Syllabus
  • 12X6 Assistance and Support
Explore Offline Courses
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Certifications

Take your career to new heights with Softlogic's software training certifications.
Improve your abilities to get access to rewarding possibilities
Earn Your Certificate of Completion
Validate your achievements with Softlogic's Certificate of Completion, verifying successful fulfillment of all essential components.
Take Your Career to the Next Level with  Certifications
Get a certifications through our training programs to gain a competitive edge in the industry.
Stand Out from the Crowd with Codethon Certificate
Verify the authenticity of your real-time projects with Softlogic's Codethon certificate.

Hands-on Project Practices in Data Science with Machine Learning Course

Deep Learning-Based Image Style Transfer
Client Division
Using ML to Segment Product Demand
Forecasting Energy Consumption Using ML
ML-Based Demand Forecasting for Supply Chain Efficiency
Deep Learning-Based Text Generation
ML-Based Time Series Forecasting
Analysis of Medical Images
ML-Based Traffic Prediction

The SLA Way to Get Placed in Top IT Companies

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Technology Training

Coding Practices
Realtime Projects

Placement Training

Aptitude Training
Interview Skills
CRM System Testing

Panel Mock
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Google Reviews

Rating
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1,053 Google reviews

Nithish Sahoo

I had an excellent experience taking this DevOps course. The curriculum is well-structured and covers both fundamental and advanced DevOps concepts in a clear manner.…
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 Special thanks to Vishal Sir, the Placement Officer, for his interview guidance, resume support, and continuous motivation throughout the placement process. I would also like…
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MATHAN KUMAR G EEE

SLA Institute provides a structured learning environment for data analytics. The syllabus is relevant, and trainers are knowledgeable. Some sessions were very useful practically, while…
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Hi, I recently completed the DOT NET Full Stack Development course at SLA, and I had a great learning experience. The teaching style and student…
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I had a 3 year career break. Joined SLA on Java Full Stack course and completed it.Did projects with the help of my Mentor. They…
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SLA Institute provides training in communication and aptitude along with strong technical skills. The trainers explain concepts clearly with a practical approach, which helps build…
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Placement Support for a Data Science with Machine Learning Job

Genuine Placements. No Backdoor Jobs at Softlogic Systems.

Aptitude Training
from Day 1

CRM System Testing

Interview Skills
from Day 1

Softskills Training
from Day 1

Build Your Resume

Build your LinkedIn Profile

Build your GitHub
digital portfolio

Panel Mock Interview

Unlimited Interviews until you get placed

Life Long Placement Support at no cost

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FAQs

The practice of using tools, models, and algorithms to derive useful insights from unprocessed data is known as data science. It includes a wide range of methods, such as machine learning (ML), predictive modeling, and natural language processing (NLP). A subset of data science called machine learning is used to develop algorithms and models that can automate processes and generate predictions from data. 

The foundational to advanced concepts, such as ML algorithms, representation, evaluation, optimization, and so on, are covered in the syllabus for the Data Science with Machine Learning Course in OMR.

It might be challenging to get into a data science degree because it requires a strong background in math, statistics, and computer programming. But anyone who puts in the necessary time and effort can learn the skills and information needed to succeed in this field.

Yes. Having solid foundational machine-learning abilities will be helpful in your data science career.

Since data science is such a broad area, it may initially seem impossible to understand everything there is to know. But if you put in the effort, stay focused, and create a solid learning plan, you’ll see that gaining the skills needed to enter the area of data science is quite easy and that it’s just another one.

Machine learning relies heavily on mathematics. It makes it possible to build models and algorithms that may be used to analyze data, find trends, and make predictions. Additionally, mathematics is employed to enhance the prediction capability of machine learning systems and build more accurate models.

You will learn how to use data science tools and techniques to derive valuable insights from data in the Data Science with Machine Learning course. You will acquire expertise in natural language processing, supervised and unsupervised learning methods, predictive modeling, data wrangling, and data exploratory analysis.

All forms of payment, including cash, checks, cards, and digital payments, are accepted by SLA.

Yes, SLA offers no-cost EMI options for learners to pay for data science with machine learning course fees.

A human resources manager at SLA will look into it. 

Additional Information for
the Data Science with Machine Learning Course

Here are the top trends in data science with machine learning capabilities:

  • Natural Language Processing
  • Augmented Analytics
  • Automated Machine Learning
  • AI as a Service
  • Artificial Intelligence Advancements
  • Big Data in Cloud
  • Data Democratization
  • Data Regulation
  • Responsible AI
  • Blockchain
  • Data Visualization
  • Predictive Analysis
  • Automate Data Science
  • Data Fabric and Generative AI
  • Quantum Computing and Hyperautomation

In 2024, the field of data science will have a very bright future. Data science is going to be extremely important in influencing many different industries because of technological improvements, the growing significance of data-driven decision-making, and the emergence of new trends like artificial intelligence and big data.

Skilled data scientists with machine learning skills can assist businesses of all sizes in making sense of the massive volumes of data they gather daily, which are in high demand. One of the best locations to locate these highly qualified individuals is India.

A number of the top Indian companies in India, including Microsoft, Flipkart, Amazon, Ola, Airtel, LinkedIn, and Tata Consultancy Services, are employing data scientists with machine learning skills.

Enroll in our Data Science with Machine Learning course in OMR to advance your expertise.

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