Data Science with Machine Learning Online Course

4.90/5.0

(1538)

duration

2-3 Months

EMI

0% Interest

Mode

Live Online / Offline

Our Data Science with Machine Learning Online Training will make students learn some of the most in-demand concepts in Data Science with Machine Learning such as – Core Java Fundamentals, Declarations and Access Control, Flow Control, Exceptions, Assertions, TestNG etc. This curriculum will surely make students experts in the concept of Data Science with Machine Learning in a shorter span of time. Our Data Science with Machine Learning Online Course with 100% placement support is curated with the help of leading experts from the IT industry, which makes our Data Science with Machine Learning Online Course up-to-date in accordance with the latest trends.

Our SLA Institute is guaranteed to place you in high-paying Data Scientist and other Data Science with Machine Learning related jobs with help of our experienced placement officers. SLA Institute’s Course Syllabus for Data Science with Machine Learning covers all topics that are guaranteed to give you a complete understanding of the Data Science with Machine Learning Online Course.

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Lifelong Placement
Support

Get Certified

Upcoming Batches

Hands On Training

3-5 Real Time Projects

60-100 Practical Assignments

3+ Assessments / Mock Interviews

August 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

August 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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Quick Enquiry

Placement

Dedicated placement support

Learning

Job-Centered Approach

Timings

Convenient Hrs

Mode

Online & Classroom

Certification

Industry-Accredited

We Tie-Up with 1000+ Leading IT and MNC Companies

SLA's Hiring and Placement Partner: Tredence

SLA's Hiring and Placement Partner: Birlasoft

SLA's Hiring and Placement Partner: Latent View

SLA's Hiring and Placement Partner: Acs Solutions

SLA's Hiring and Placement Partner: Prodapt

SLA's Hiring and Placement Partner: Valuemomentum

SLA's Hiring and Placement Partner: Tanla

SLA's Hiring and Placement Partner: Intellect

SLA's Hiring and Placement Partner: Observeai

SLA's Hiring and Placement Partner: Napier

SLA's Hiring and Placement Partner: GlobalLogic

SLA's Hiring and Placement Partner: Highradius

This Course Includes

FREE Demo Class
0% EMI Loan Facilities
FREE Softskill & Placement Training
Tie up with more than 500+ MNCs & Medium Level Companies
Dedicated placement support
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 Online Course

The primary objective of our Data Science with Machine Learning Online Course is to make enrolled candidates experts in Data Science with Machine Learning. This Data Science with Machine Learning Online Course will make students grow into successful and most in-demand Data Scientists, and more. SLA Institute’s Data Science with Machine Learning Online Course Curriculum is loaded with some of the most useful and rare concepts that will surely give students a complete understanding of Data Science with Machine Learning. So, some of those concepts are discussed below:

To make students have basic knowledge on the foundational topics of Data Science with Machine Learning like – Core Java Fundamentals – Java Programming Language Keywords, Literals and Ranges of All Primitive; Declarations and Modifiers, Declaration Rules; Overridden and Overloaded Methods, Constructors and Instantiation etc.
To make students aware of some more Data Science with Machine Learning Course topics – Handling Exceptions, Working with the Assertion Mechanism; Setting up TestNG, Testing with TestNG, Composing test and test suites; Test Automation for Web Applications, Machine Learning Components etc.
To make students experts in the advanced topics of Data Science with Machine Learning topics like – XPATH, Getting and installing python, Environmental variables and idle, Math, Arrow, Geopy, Runtime errors, Exceptional model, Exceptional hierarchy etc.

Scopes in the future for Data Science with Machine Learning Online Course

The following are the scopes available in the future for the Data Science with Machine Learning Online Course:

Cutting-edge Techniques in Machine Learning and AI: Training on advanced methods such as deep learning, reinforcement learning, and transfer learning, along with the latest tools and frameworks.

Industry-Specific Applications: Courses focusing on the application of data science in sectors like healthcare (predictive analytics, personalized medicine), finance (financial modeling, algorithmic trading), and retail (customer behavior analysis, recommendation systems).

Integration with Big Data Technologies: Instruction on combining data science with big data tools and technologies, including Hadoop, Spark, and cloud platforms, and building scalable data pipelines.

Ethics and Model Explainability: Emphasis on addressing biases, ensuring fairness in AI applications, and using techniques to make machine learning models more interpretable and transparent.

Project Practices on Data Science with Machine Learning Training

Project 1Customer Segmentation

Apply clustering algorithms to categorize customers based on their purchasing behaviors and demographics.

Project 2Sales Forecasting Using Predictive Analytics

Develop a regression model to predict future sales based on historical data.

Project 3Social Media Sentiment Analysis

Examine social media posts or reviews to gauge public sentiment about products or services.

Project 4Fraud Detection in Financial Transactions

Create a machine learning model to identify fraudulent transactions within a dataset.

Project Practices for Data Science with Machine Learning

Prerequisites for learning Data Science with Machine Learning Online Course

SLA Institute does not demand any prerequisites for any course at all. SLA Institute has courses that cover everything from the fundamentals to advanced topics so whether the candidate is a beginner or an expert they will all be accommodated and taught equally in SLA Institute. However having a fundamental understanding of these concepts below will help you understand Data Science with Machine Learning better, However it is completely optional:

Basic Mathematics and Statistics: A solid understanding of algebra, including linear equations, functions, and matrices, as well as statistical concepts such as probability distributions, statistical tests, and methods for data analysis, is essential.

Programming Skills: Proficiency in a data science programming language, particularly Python or R, is necessary. Experience with libraries like NumPy, pandas, and scikit-learn, along with visualization tools such as Matplotlib and Seaborn, is also important.

Fundamental Data Analysis: Competence in data manipulation, including handling and cleaning datasets, and querying databases with SQL is crucial. Additionally, the ability to conduct Exploratory Data Analysis (EDA) to uncover patterns and relationships in the data is required.

Basic Understanding of Machine Learning Concepts: Familiarity with core machine learning principles, including both supervised and unsupervised learning methods such as regression, classification, clustering, and dimensionality reduction, is crucial.

Our Data Science with Machine Learning Online Course is apt for:

Students eager to excel in Data Science with Machine Learning
Professionals considering transitioning to Data Science with Machine Learning careers
IT professionals wanting to enhance their Data Science with Machine Learning skills
Data Scientists who are looking forward to expanding their expertise.
Individuals searching opportunities in the Data Science with Machine Learning field.

Job Profile for Data Science with Machine Learning Online Course

After finishing the Data Science with Machine Learning Online Course, students will be placed in various organizations through SLA Institute. This section will explore the various range of job profiles in which students can possibly be possible be placed as in the Data Science with Machine Learning sector;

Data Scientist: Data Science with Machine Learning Online Course will train students into successful Data Scientist who evaluate and interpret intricate data sets to support organizational decisions, develop predictive models, and carry out statistical analyses.

Machine Learning Engineer: Data Science with Machine Learning Online Course will turn students into skilled Machine Learning Engineer who design, build, and implement machine learning models and systems, focusing on optimizing and scaling these models for production.

Data Analyst: Data Science with Machine Learning Online Course will make students into Data Analysts who gather, process, and analyze data to generate actionable insights, and create visual reports and dashboards.

Business Intelligence (BI) Developer: The SLA Institute will provide students with enough resources that it will train students to become a successful Business Intelligence (BI) Developer who develops and maintains BI tools and solutions, including dashboards and reports, to aid in data-driven decision-making.

Data Engineer: The SLA Institute will turn students into skilled Data Engineers who construct and manage data pipelines and databases, ensuring data integrity and accessibility for analysis.

Quantitative Analyst (Quant): The SLA Institute will make students into Quantitative Analysts who utilize mathematical models and statistical methods to analyze financial data for risk management, trading strategies, and investment analysis.

Artificial Intelligence (AI) Specialist: Develop and deploy AI technologies and solutions, focusing on areas such as natural language processing, computer vision, and robotics.

Research Scientist: Conduct research to create new algorithms and techniques in data science and machine learning, and contribute to academic publications.

Operations Analyst: Apply data analysis to enhance business operations, optimize processes, and improve efficiency.

Marketing Analyst: Analyze marketing data to assess campaign effectiveness, customer behavior, and market trends, providing insights for strategy optimization.