Are you an aspiring data scientist or machine learning engineer? Are you aware that self-learning or recorded videos will not make you a skilled data scientist? In our Data Science with Machine Learning Training Institute in OMR, we offer a comprehensive learning experience with an industry-aligned curriculum, expert trainers, international certification, and placement assistance. Our data science with machine learning course is useful for freshers, experienced professionals, and job seekers around the world. Enhance your career by enrolling in our data science with machine learning training in OMR.
Data Science with Machine Learning Training in OMR
4.70
(6985)
Download Syllabus PDF
DURATION
2 Months
Mode
Live Online / Offline
EMI
0% Interest
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What this Course Includes?
- Technology Training
- Aptitude Training
- Learn to Code (Codeathon)
- Real Time Projects
- Learn to Crack Interviews
- Panel Mock Interview
- Unlimited Interviews
- Life Long Placement Support
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Fill out the form, and our counsellors will get in touch with you at your preferred time. You can have all your queries answered. Once you decide that SLA is the perfect fit for your training needs, our counselors will guide you through the process every step of the way.
Course Schedules
Course Syllabus
Course Fees
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Breakdown of Data Science with Machine Learning Training in OMR Fee and Batches
Hands On Training
3-5 Real Time Projects
60-100 Practical Assignments
3+ Assessments / Mock Interviews
April 2025
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
April 2025
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 Training in OMR
Download Syllabus
Module 1 – Core Java Fundamentals
- Java Programming Language Keywords
- Literals and Ranges of All Primitive
- Data Types
- Array Declaration, Construction, and Initialization
Module 2 – Declarations and Access Control
- Declarations and Modifiers
- Declaration Rules
- Interface Implementation
Module 3 – Object Orientation, Overloading and Overriding, Constructors
- Benefits of Encapsulation
- Overridden and Overloaded Methods
- Constructors and Instantiation
- Legal Return Types
Module 4 – Flow Control, Exceptions, and Assertions
- Writing Code Using if and switch statements
- Writing Code Using Loops
- Handling Exceptions
- Working with the Assertion Mechanism
- Write Java Programs
Module 5 – TestNG
- Setting up TestNG
- Testing with TestNG
- Composing test and test suites
- Generating and analyzing HTML test reports
- Troubleshooting
Module 6 – Machine Learning
- Introducing Machine Learning
- To Automate or Not to Automate?
- Test Automation for Web Applications
- Machine Learning Components
- Supported Browsers
- Flexibility and Extensibility
Module 7 – Machine Learning -IDE
- 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
Module 8 – XPATH
- Understanding of Source files and Target
- XPATH and different techniques
- Using attribute
- Text ()
- Following
Module 9 – Machine Learning
- 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
Module 10 – Automation Test Design Considerations
- 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
Module 11 – Handling Test Data
- Reading test data from excel file
- Writing data to excel file
- Reading test configuration data from text file
- Test logging
- Machine Learning Grid Overview
Module 12 – Building Automation Frameworks Using Machine Learning
- 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
Python – Overview
- A brief history of python
- Application and trends in python
- Available python versions
Python – Environment Setup
- Getting and installing python
- Environmental variables and idle
- Executing python from command line
Fundamentals
- I/o
- Naming conventions
- Datatypes:
- Numbers
- String
- List
- Tuple
- Dictionary
- Set
Python Operators
- List, Tuple, Dictionary, Set Methods
- Statements: If, elif, Break, Continue
- Loops: For loop, while loop
- Functions
Oops Concepts:
- Class and objects
- Getters and setters
- Properties
- Inheritance
- Polymorphism
- Special Functions of Python: Lambda, Map, Reduce, Filter
Modules in Python:
- Math
- Arrow
- Geopy
- Beautiful soup
- Numpy
- Sys
- Os
Multithreading:
- Introducing threads and life cycles
- Priorities
- Dead Locks
Exceptional Handling
- Errors
- Runtime errors
- Exceptional model
- Exceptional hierarchy
- Handling multiple exception
- Raise exceptions
File Handling
- Text files
- Csv files
Regular Expressions
- Simple character matches
- Flags, quantifers, greedy matches
- Grouping and matching objects
- Matching at beginning or end
- Substituting and splitting a string
- Compiling regular expressions
Gui Interfacing: Tkinter
- Widgets
- Integrated application
- Mysql/with application
- Converting .exe
Datascience Modules:
- pandas
- numpy
- scipy
- matplotlib
Python Data Processing
- Python Data Operations
- Python Data cleansing
- Python Processing CSV Data
- Python Processing JSON Data
- Python Processing XLS Data
- Python Relational databases
- Python NoSQL Databases
- Python Date and Time
- Python Data Wrangling
- Python Data Aggregation
- Python Reading HTML Pages
- Python Processing Unstructured Data
- Python word tokenization
- Python Stemming and Lemmatization
Python Data Visualization
- Python Chart Properties
- Python Chart Styling
- Python Box Plots
- Python Heat Maps
- Python Scatter Plots
- Python Bubble Charts
- Python 3D Charts
- Python Time Series
- Python Geographical Data
- Python Graph Data
Statistical Data Analysis
- Python Measuring Central Tendency
- Python Measuring Variance
- Python Normal Distribution
- Python Binomial Distribution
- Python Poisson Distribution
- Python Bernoulli Distribution
- Python P-Value
- Python Correlation
- Python Chi-square Test
- Python Linear Regression
Objectives of Learning Data Science with Machine Learning Training in OMR
Download Syllabus
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.
Reason to choose SLA for Data Science with Machine Learning Training in OMR
- SLA stands out as the Exclusive Authorized Training and Testing partner in Tamil Nadu for leading tech giants including IBM, Microsoft, Cisco, Adobe, Autodesk, Meta, Apple, Tally, PMI, Unity, Intuit, IC3, ITS, ESB, and CSB ensuring globally recognized certification.
- Learn directly from a diverse team of 100+ real-time developers as trainers providing practical, hands-on experience.
- Instructor led Online and Offline Training. No recorded sessions.
- Gain practical Technology Training through Real-Time Projects.
- Best state of the art Infrastructure.
- Develop essential Aptitude, Communication skills, Soft skills, and Interview techniques alongside Technical Training.
- In addition to Monday to Friday Technical Training, Saturday sessions are arranged for Interview based assessments and exclusive doubt clarification.
- Engage in Codeathon events for live project experiences, gaining exposure to real-world IT environments.
- Placement Training on Resume building, LinkedIn profile creation and creating GitHub project Portfolios to become Job ready.
- Attend insightful Guest Lectures by IT industry experts, enriching your understanding of the field.
- Panel Mock Interviews
- Enjoy genuine placement support at no cost. No backdoor jobs at SLA.
- Unlimited Interview opportunities until you get placed.
- 1000+ hiring partners.
- Enjoy Lifelong placement support at no cost.
- SLA is the only training company having distinguished placement reviews on Google ensuring credibility and reliability.
- Enjoy affordable fees with 0% EMI options making quality training affordable to all.
Want to Speak to our Trainer about Data Science with Machine Learning Training in OMR?Request a Free Callback
Highlights of The Data Science with Machine Learning Training in OMR
What is data science with machine learning?
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.
What are the reasons for learning data science with machine learning?
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
What are the prerequisites for learning the Data Science with Machine Learning course in OMR?
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
What are the course fees and duration?
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.
What are some job roles related to the Data Science with Machine Learning course?
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
What is the salary range for Data Science and Machine Learning professionals?
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.
List a few Data Science with Machine Learning real-time applications.
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
Who are our Trainers for Data Science with Machine Learning Training in OMR?
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 our Trainer about Data Science with Machine Learning Training in OMR?Request a Free Callback
What Modes of Training are available for Data Science with Machine Learning Training in OMR?
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
Online Training
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
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
Want to Master your Skills in Data Science with Machine Learning Training in OMR?GET Free Consultation
Certifications
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Project Practices for Data Science with Machine Learning Training in OMR
Deep Learning-Based Image Style Transfer
Use deep learning to transfer image styles to create visually attractive and artistic alterations
Client Division
Segmenting a consumer base according to their demographics, inclinations, or behavior using machine learning techniques
Using ML to Segment Product Demand
Utilizing machine learning to segment products and inventory to optimize tactics.
Forecasting Energy Consumption Using ML
Estimating patterns of energy use for planning and optimization.
ML-Based Demand Forecasting for Supply Chain Efficiency
Maximizing Supply Chain Efficiency with Demand Forecasting Based on Machine Learning
Deep Learning-Based Text Generation
It is used to create text that is human-like for chatbot responses and automated content generation
ML-Based Time Series Forecasting
Use machine learning to forecast future values from past time series data.
Analysis of Medical Images
Use machine learning on medical photos to make diagnoses and treatment plans.
ML-Based Traffic Prediction
Utilizing machine learning to optimize traffic control by forecasting patterns and congestion
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The SLA way to Become
a Data Science with Machine Learning Training in OMR Expert
Enrollment
Technology Training
Coding Practices
Realtime Projects
Realtime Projects
Placement Training
Aptitude Training
Interview Skills
Interview Skills
Panel Mock
Interview
Unlimited
Interviews
Interview
Feedback
100%
IT Career
Google Reviews
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1,053 Google reviews
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See More ReviewsPlacement Support for a Data Science with Machine Learning Training in OMR
Genuine Placements. No Backdoor Jobs at Softlogic Systems.
Free 100% Placement Support
Aptitude Training
from Day 1
Interview Skills
from Day 1
Softskills Training
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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 for
Data Science with Machine Learning Training in OMR
What is machine learning with data science?
1.
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.
What principles underlie Data Science and Machine Learning?
2.
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.
Is it easy to learn data science with machine learning?
3.
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.
Can I get a job using machine learning and data science?
4.
Yes. Having solid foundational machine-learning abilities will be helpful in your data science career.
Is data science good for a beginner?
5.
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.
How does mathematics fit into the machine learning process?
6.
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.
What skills will I get through data science with machine learning course in OMR?
7.
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.
Which forms of payment are accepted by SLA?
8.
All forms of payment, including cash, checks, cards, and digital payments, are accepted by SLA.
Are any EMI options available at SLA for data science with machine learning courses?
9.
Yes, SLA offers no-cost EMI options for learners to pay for data science with machine learning course fees.
How does SLA deal with problems that arise with learners?
10.
A human resources manager at SLA will look into it.
Additional Information for
Data Science with Machine Learning Training in OMR
1.
Trends of Data Science with Machine Learning
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
2.
Future Scope of Data Science with Machine Learning Skill
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.
3.
Leading Indian Companies Employing Data Scientists
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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