Software Training Institute in Chennai with 100% Placements – SLA Institute

Easy way to IT Job

Data Science with Machine Learning Course in OMR

(1987)
Live Online & Classroom Training
EMI
0% Interest

Explore the world of data with our Data Science with Machine Learning Training in OMR at SLA Institute. This thorough program provides a strong foundation in data analysis and machine learning. Learn essential techniques, including algorithms, data processing, and model evaluation, through hands-on projects that reflect real-world challenges. Our expert instructors at SLA Institute ensure you gain practical skills and experience. Plus, with our Data Science with Machine Learning Course in OMR with 100% Placement Support, you’ll be ready for a successful career in this high-demand field. Join us at SLA Institute to start your journey towards a rewarding career in data science and machine learning!

At SLA Institute, we guarantee placement in a high-paying Developer job with the support of our experienced placement officers. Our Data Science with Machine Learning Course Syllabus covers all essential topics, providing you with a comprehensive understanding of Data Science with Machine Learning development.

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+91 89256 88858

Upcoming Batches

Hands On Training
3-5 Real Time Projects
60-100 Practical Assignments
3+ Assessments / Mock Interviews
October 2024
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
October 2024
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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Quick Enquiry

Placement

100% Assistance

Learning

Job-Centered Approach

Timings

Convenient Hrs

Mode

Online & Classroom

Certification

Industry-Accredited

This Course Includes

  • FREE Demo Class
  • 0% EMI Loan Facilities
  • FREE Softskill & Placement Training
  • Tie up with more than 500+ MNCs & Medium Level Companies
  • 100% FREE Placement Assistance
  • Course Completion Certificate
  • Training with Real Time Projects
  • Industry-Based Coaching By MNC IT Professionals
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Expected Criteria for Assured Placement

The following criteria help the placement team guide the candidates to get placed immediately after the course completion through SLA Institute.

  • 80% of coursework completion helps us arrange interviews in required companies.
  • 2 or 3 projects to be done for the selected course to ace the technical round effectively.
  • Ensure attending the placement training right from the first day of the selected course.
  • Practice well with resume building, soft skill, aptitude skill, and profile strengthening.
  • Utilize the internship training program at SLA for the complete technical skills.
  • Collect the course completion certificate and update the copy to the placement team.
  • Ensure your performance indicator meets the expectation of top companies.
  • Always be ready with the updated resume that includes project details done at SLA.
  • Enjoy unlimited interview arrangements along with internal mock interviews.
Have Queries? Ask our Experts

+91 89256 88858

SLA's Distinctive Placement Approach

1

Tech Courses

2

Expert Mentors

3

Assignments & Projects

4

Grooming sessions

5

Mock Interviews

6

Placements

Objectives of Data Science with Machine Learning Course in OMR

The Data Science with Machine Learning Course in OMR aims to achieve several goals to help you become proficient in web development using Data Science with Machine Learning. Throughout the course, you’ll:

  • Learn Data Science Basics: Understand how to clean, explore, and visualize data.
  • Master Machine Learning: Learn and apply key machine learning methods like regression, classification, and clustering.
  • Gain Practical Experience: Work on real-world projects to practice data analysis and build machine learning models.
  • Improve Analytical Skills: Enhance your ability to analyze data and make useful business decisions.
  • Understand Data Processing: Learn how to process and prepare data for better results.
  • Build Effective Models: Create and test predictive models to solve problems and improve outcomes.

Future Scope of Data Science with Machine Learning Course in OMR

Growing Demand for Data Science Skills

The future looks bright for data science with machine learning. More businesses are using data to make decisions, so there’s a growing need for people with these skills. This demand is strong in areas like finance, healthcare, and tech.

Expanding Career Opportunities

As technology advances, new job roles are emerging for data scientists. Positions like Machine Learning Engineer and AI Specialist are becoming more common. A Data Science with Machine Learning Course in OMR will prepare you for these exciting roles.

More Use of AI Technologies

Artificial intelligence (AI) is becoming a bigger part of business operations. Data scientists will be crucial in creating and using AI tools, from automated customer support to advanced data analysis.

Advancements in Tools and Techniques

Data science and machine learning are always changing with new tools and methods. This course will give you a strong foundation and keep you updated on the latest trends and technologies.

Better Decision-Making

Businesses want to use data to make better decisions. With skills in data science and machine learning, you’ll be able to provide valuable insights that help companies succeed. This makes you an important part of any team.

Achieve Your Goals With SLA

SLA builds your future with comprehensive coursework and unparalleled placement support.
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Project Practices on Data Science with Machine Learning Training

Project 1Fraud Detection System

Design a machine learning model to identify fraudulent transactions in financial data. Use classification algorithms to detect anomalies and suspicious patterns, helping financial institutions prevent fraud and secure their transactions.

Project 2Recommendation Engine

Develop a recommendation engine that suggests products or services to users based on their past behavior and preferences. Implement collaborative filtering and content-based filtering techniques to enhance user experience and increase sales.

Project 3Health Risk Prediction

Create a model to predict health risks and outcomes using patient data. Analyze medical records and lifestyle factors with machine learning algorithms to forecast potential health issues, assisting healthcare providers in offering preventive care.

Project 4Real Estate Price Prediction

Build a predictive model to estimate property prices based on various features such as location, size, and amenities. Use regression techniques to analyze real estate data, helping buyers and sellers make informed decisions.

Prerequisites for learning Data Science with Machine Learning Course in OMR

To join our Data Science with Machine Learning Training in OMR at SLA Institute, no specific prior knowledge is required. Whether you’re new to programming or have some experience, everyone is welcome. However, having a foundational understanding of the following can be beneficial:

  • Basic Programming Skills: Know how to use Python or R for data work.
  • Math and Stats Knowledge: Understand basic math and statistics, like probability and algebra.
  • Experience with Data Analysis: Be familiar with tools like Excel or Tableau for analyzing data.
  • Problem-Solving Skills: Be good at figuring out problems and finding solutions.
  • Data Handling Knowledge: Know how to clean and prepare data.

Our Data Science with Machine Learning Course in OMR is ideal to:

  • Students eager to excel in Data Science with Machine Learning 
  • Professionals considering transitioning to Data Science with Machine Learning careers
  • IT professionals aspiring to enhance their Data Science with Machine Learning skills
  • Data Analysts enthusiastic about expanding their expertise
  • Individuals seeking opportunities in Data Science with Machine Learning 

Job Profile in Data Science with Machine Learning Course in OMR

In the Data Science with Machine Learning Course in OMR at SLA Institute, participants are prepared for various job profiles that require expertise in both front-end and back-end data handling:

Data Scientist

  • Responsibilities: Analyze complex data sets, build predictive models, and provide actionable insights to drive business decisions.
  • Salary: ₹6,00,000 – ₹15,00,000 per year

Machine Learning Engineer

  • Responsibilities: Design, develop, and deploy machine learning models and algorithms to solve specific problems and improve systems.
  • Salary: ₹7,00,000 – ₹18,00,000 per year

Data Analyst

  • Responsibilities: Interpret data, generate reports, and create visualizations to help businesses understand trends and make data-driven decisions.
  • Salary: ₹4,50,000 – ₹10,00,000 per year

AI Specialist

  • Responsibilities: Develop and implement artificial intelligence solutions, including natural language processing and computer vision technologies.
  • Salary: ₹8,00,000 – ₹20,00,000 per year

Business Intelligence (BI) Developer

  • Responsibilities: Create and manage BI solutions, including dashboards and data visualization tools, to support business strategy and operations.
  • Salary: ₹5,00,000 – ₹12,00,000 per year

Data Engineer

  • Responsibilities: Design and maintain data pipelines, ensure data quality, and support data processing needs for analysis and machine learning.
  • Salary: ₹6,00,000 – ₹14,00,000 per year

These roles require expertise in programming languages like Python and R, as well as skills in data visualization tools and machine learning algorithms covered in the Data Science with Machine Learning course. Graduates are well-prepared for fulfilling careers in the data-driven industry, with strong salary potential.

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The Placement Process at SLA Institute

  • To Foster the employability skills among the students
  • Making the students future-ready
  • Career counseling as and when needed
  • Provide equal chances to all students
  • Providing placement help even after completing the course

Data Science with Machine Learning Course FAQ

What is Data Science with Machine Learning?

Data Science with Machine Learning uses data to create and apply algorithms that make predictions or decisions. It combines analyzing data with machine learning techniques to help businesses and technology improve by providing useful insights and automating tasks.

Is Data Science with Machine Learning easy or hard?

Data Science with Machine Learning can be both easy and hard, depending on your background and experience. It involves complex concepts and techniques, but with a strong foundation in programming and math, along with practice, it becomes more manageable and rewarding.

What is Data Science with Machine Learning used for?

Data Science with Machine Learning is used to understand data, make predictions, and automate decisions. It’s used in many areas to help businesses improve their strategies, understand customers better, predict future trends, and solve complex problems.

Is Data Science with Machine Learning enough to get a job?

Yes, Data Science with Machine Learning can be enough to get a job, but it often depends on additional factors like experience and specific skills. A strong grasp of data analysis, machine learning, and practical experience can significantly boost job prospects.

Does SLA Institute have HR personnel?

Yes, SLA Institute has an HR personnel who will look into students issues and grievances.

Does SLA Institute support EMI options?

Yes, SLA Institute supports EMI options with 0% interest.’

Is Data Science with Machine Learning a good career?

Yes, Data Science with Machine Learning is a good career. It has high demand, many job opportunities, and good salaries. People in this field work on interesting projects, solve tough problems, and help drive new ideas in different industries.

Does SLA Institute provide Lifetime Placement Support?

Yes, SLA Institute provides Lifetime Placement Support to assist students in securing job placements throughout their careers.

On Average Students Rated The Data Science with Machine Learning Course 4.80/5.0
(1987)

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