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Data Science with Machine Learning Training in Chennai

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Data Science with Machine Learning is part of our institute’s new combo courses that combine data science with machine learning to make the process more enhanced and easy for candidates, which will make them the most demanded workforce in the industry. By learning our Data Science with Machine Learning Course in Chennai, you will gain double the knowledge thereby double the placement opportunities, offered by our Data Science with Machine Learning Training Institute in Chennai. So enroll in our Data Science with Machine Learning Training in Chennai with certification & placements to earn double the knowledge.

Download Data Science with Machine Learning Course Syllabus PDF

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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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Course Syllabus

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Breakdown of Data Science with Machine Learning Course Fee and Batches

Hands On Training
3-5 Real Time Projects
60-100 Practical Assignments
3+ Assessments / Mock Interviews
June 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
June 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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What Modes of Training are available for Data Science with Machine Learning?

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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Objectives of Learning Data Science with Machine Learning Course

Download Syllabus

Our Data Science with Machine Learning Course in Chennai’s main goal is to get students ready to find complex patterns in user data and then utilize those patterns to forecast outcomes and provide answers to business queries. Our data science with machine learning training will enable students to. Here are the learning outcomes of our data science with 

  • Apply quantitative modeling and data analysis approaches to solve real-world business challenges
  • effectively communicate findings, and show outcomes using data visualization techniques
  • Discover Data Transformation Methods and Resources.
  • Give You a Better Understanding of the Functions of a Data Scientist 
  • Examine Large Data
  • Make Data Mining Easy to Understand
  • Help You Define Algorithms for Machine Learning
  • Study optimization and data visualization.
  • Become Acquainted with Various Formats

Reason to choose SLA for Data Science with Machine Learning training in Chennai

Opting for SLA in Chennai offers multiple benefits. Here are some key highlights of SLA’s training:

  • 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 a Trainer about Data Science with Machine Learning?Request a Free Callback

Highlights of The Data Science with Machine Learning Course

What is a Data Science with Machine Learning course?

1.

Data science uses computer technology to handle large amounts of data, and includes machine learning as one of its key parts. Machine learning involves using data to make predictions, such as in handwriting recognition and spam detection. The Data Science with Machine Learning Certification training in Chennai teaches these concepts and their importance, along with other technologies like Python and SQL used in data science.

What are the reasons for taking the Data Science with Machine Learning Certification Course?

2.

There are many reasons to learn data science with a machine learning course at SLA. A few of them are as follows:

  • Growing Job Opportunities: Data science and machine learning offer expanding job markets.
  • High Demand and Pay: Jobs in these fields are highly sought-after and well-paid.
  • Real-World Impact: Acquiring these skills allows you to solve practical problems and make a positive difference.
  • Technological Advancement: Learning these skills keeps you at the forefront of technology.
  • Versatility Across Industries: Machine learning and data science skills are applicable in various sectors.
  • Career Future-Proofing: Learning these skills ensures your career remains relevant in the future.
  • Multidisciplinary Skills: Professions in these fields require a diverse range of expertise.
  • Interesting and Dynamic Work: Jobs in data science and machine learning are engaging due to their ever-evolving nature.
What are the prerequisites for the best Data Science with Machine Learning course?

3.

There are no mandatory prerequisites for learning, but having a background in Java and statistics can make the learning curve easier. Knowledge of Python is also beneficial.

Our Data Science with Machine Learning is suitable for: 

  • Students
  • Job Seekers
  • Freshers
  • IT professionals aiming to enhance their skills
  • Professionals seeking career change
  • Enthusiastic programmers
What are the course fees and duration for Data Science with Machine Learning training?

4.

We have an affordable structure for data science with machine learning training fees in Chennai and it is worth your spending. Our data science with machine learning course fees in Chennai start at ₹42,500. The data science with machine learning course duration is 4 months. For further data science with machine learning course details, such as fees, duration, or current offers, kindly talk to our career counsellor directly.

What are some job roles related to the Data Science with Machine Learning course?

5.

For competent individuals, one of the most promising and in-demand occupations is data science with machine learning skills. Some of the popular job roles are:

  • Data Analyst
  • Data Engineers
  • Database Administrator
  • Machine Learning Engineer
  • Data Scientist
  • Data Architect
  • Statistician
  • Business Analyst
  • Data and Analytics Manager
What is the salary range for a data scientist with machine learning skills?

6.

Machine learning is one of the highest-paid fields in the IT industry, with many job titles paying six figures. In India, a data scientist’s fresher salary with machine learning skills can range from ₹3.5 lakhs to ₹60.0 lakhs, with an average of ₹27.9 lakhs per year. 

List a few data science with machine learning real-time applications.

7.

There are many data science and machine learning applications available in real-time. Some of the real-time data science applications of ML are: 

  • In healthcare, it is important to identify and predict diseases before recommending treatments.
  • In transportation, to optimize shipping routes
  • In sports, it is important to accurately predict the performance of athletes.
  • In government, to prevent tax evasion
  • In E-commerce to automate digital ad placements
  • In gaming, to improve online gaming experiences
  • In social media, to create algorithms for predicting market competition
  • In fintech, to create credit reports and financial profiles.

Who are our Trainers for The Data Science with Machine Learning Course?

Our Mentors are from Top Companies like:
  • Our trainers are highly skilled and have 10+ years of extensive experience working with Data Science and Machine Learning Training.
  • They are specialized in demonstrating the usage of the various tools used in data science and machine learning, helping the customers to understand the importance of each tool before moving forward.
  • They have in-depth knowledge in building models using Machine Learning, teaching students the basics of the software and developing hands-on experience related to many engineering fields.
  • They provide accurate guidance for data auditing, data cleaning, data visualization and analysis for machine learning application development.
  • They have conducted numerous workshops introducing the complexities of Data Science and providing a comprehensive overview of the product.
  • They have developed a wide range of technical problem-solving skills suitable for various business environments and are well-known for their ability to provide in-depth analysis and visualization of complex data generated from data science.
  • They rapidly assimilate new technologies, develop innovative solutions to difficult problems and excel in both theory and practical machine learning programming.
  • They have the ability to work with teams of students or individually and have the skills to effectively train groups of any size.
  • They have effective communication and interpersonal skills for efficient coordination with the students.
  • With their experience and capabilities, they are responsible for achieving the training objectives of students and making sure that students are well equipped with the right skill sets to become certified data scientists and machine learning experts.
Want to Speak to a Trainer about Data Science with Machine Learning?Request a Free Callback

Certifications

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Project Practices for The Data Science with Machine Learning Course

Customer Segmentation

Using machine learning algorithms to segment customers based on their behaviors, preferences, or demographics.

Image Style Transfer with Deep Learning

Transferring image styles using deep learning for artistic and visually appealing transformations.

Product Demand Segmentation with ML

Optimizing inventory and product strategies through machine learning-based segmentation.

Demand Forecasting with ML for Supply Chain Optimization

Optimizing supply chain operations through machine learning-based demand forecasting.

Traffic Prediction with ML

Optimizing traffic management using machine learning to predict congestion and patterns.

Energy Consumption Forecasting with ML

Predicting energy usage patterns for planning and optimization.

Time Series Forecasting with ML

Predicting future values based on historical time series data using machine learning.

Text Generation with Deep Learning

Generating human-like text using deep learning for automated content creation and chatbot responses.

Medical Image Analysis

Diagnosing diseases and planning treatments using machine learning on medical images.

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The SLA way to Become
a Data Science with Machine Learning Expert

Enrollment

Technology Training

Coding Practices
Realtime Projects

Placement Training

Aptitude Training
Interview Skills
CRM System Testing

Panel Mock
Interview

Unlimited
Interviews

Interview
Feedback

100%
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Placement Support for a Data Science with Machine Learning Job

Genuine Placements. No Backdoor Jobs at Softlogic Systems.

Free 100% Placement Support

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 for
The Data Science with Machine Learning Course

What is data science and how does it relate to machine learning?

1.

Data science is the process of extracting meaningful insights from raw data through the use of tools, models, and algorithms. It encompasses a broad set of techniques including Natural Language Processing (NLP), Predictive Modeling and Machine Learning (ML). Machine learning is a subset of data science and is used to create models and algorithms that can automate tasks and make predictions based on the data.

What programming languages are used for machine learning?

2.

The most popular programming languages used for machine learning are Python, R and Java. Python is heavily used for Structured Data Analysis (SDA) and Predictive Modeling (PM). R is used for Data Mining (DM) and Visualization (Viz). Java is primarily used for Natural Language Processing (NLP).

How is software engineering related to machine learning?

3.

Software engineering is the process of designing, developing, deploying, and sustaining software. Machine learning is a subset of software engineering and is used to create models and algorithms that can automate tasks and make predictions based on the data.

What is the role of mathematics in machine learning?

4.

Mathematics plays a critical role in machine learning. It enables the development of algorithms and models that can be used to identify patterns and create predictions from the data. Mathematics is also used to create models with greater accuracy and improve the predictive power of machine learning systems.

What is the difference between supervised and unsupervised machine learning?

5.

Supervised machine learning is the process of training a model on a labeled dataset. The labels are used to guide the learning process, allowing the model to accurately predict the target variable. Unsupervised machine learning is the process of training a model on an unlabeled dataset. The model is left to its own devices to identify patterns and make predictions from the data.

How is data science used to optimize customer experience?

6.

Data science can be used to identify customer pain points and opportunities for improvement. By analyzing customer data such as customer feedback, transactional data and online reviews, it is possible to identify trends and patterns that can be used to optimize the customer experience.

What are the benefits of using machine learning?

7.

The benefits of using machine learning include improved accuracy and efficiency in automating tasks and making predictions from the data. Machine learning models can also handle large amounts of data and enable companies to gain insights from the data that were previously not possible.

Is there job opportunities for Data Science with Machine Learning after the training?

8.

Yes, there is a high demand for data scientists with knowledge of machine learning, as machine learning is an increasingly important technology in many industries such as finance, healthcare, and e-commerce.

What skills will I gain from Data Science with Machine Learning?

9.

The Data Science with Machine Learning course will teach you how to use data science tools and techniques to extract meaningful insights from data. You will gain skills in data wrangling, data exploratory analysis, predictive modeling, supervised and unsupervised learning algorithms, and natural language processing.

What career options are available after the course?

10.

The Data Science with Machine Learning course prepares you for a career in data science or machine learning. Many graduates of this course have gone on to work as data analysts, data scientists, machine learning engineers, and AI developers in a variety of industries.

Additional Information for
The Data Science with Machine Learning Course

Our Data Science with Machine Learning Training in Chennai has the best curriculum among other IT institutes ever. Our institute is located in the hub of IT companies, which creates abundance of opportunities for candidates.. Our Data Science with Machine Learning course syllabus will teach you topics that no other institute will teach. Enroll in our Data Science with Machine Learning training to explore some innovative Top project ideas for the Data Science with Machine Learning Course.

1.

Skills Requirements for Data Scientist and Machine Learning Engineer

The skill requirements for these two professionals are very similar. Let’s see the common skillsets:

  • The foremost requirement is to have sound understanding on a programming language. Python is preferred as it has a simple learning curve and its application are exhaustive than any other language.
  • Though Python is an excellent language it alone cannot help you. You may perhaps have to learn C++, R, Python and Java and also operate with Map Reduce at some point.
  • Data Scientists and Machine Learning Engineers should know statistics. Acquaintance with Matrices, Matrix Multiplication and Vectors is required.
  • Data cleansing is a significant process that can assist organizations save time and raise the efficiency. The ability to tell compelling story with data is important to make sense of your point. If your finding can’t be rapidly identified, then you cannot get it through to others easily. Data visualization can have a great effect as far as the impact of your data is concerned.
  • Machine Learning and predictive modeling are turning out to be the two happening topics. Knowledge of Machine Learning techniques including supervised machine learning, logic regression, decision trees etc., is essential. These skills will assist you to solve various data analytical issues that are dependent on predictions of prominent organizational results.
  • Deep Learning has taken conventional Machine Learning approaches to an entirely different level. It has got inspiration from biological Neurons. The key lies in mimicking the human brain. A huge network of such artificial neurons is used. This is called as Deep Neural Networks.
  • A great amount of data is needed to train Machine Learning/Deep Learning Models. Deep Learning models were not possible earlier due to the lack of data and computational power. At present, a huge amount of data is produced at good speed. Hence we need frameworks including Spark and Hadoop to handle Big Data. At present, several companies are using Big Data analytics to obtain hidden business insights. It is hence an essential skill for a data scientist and Machine Learning Engineers.
  • The most successful projects should address the exact pain points. You should know the functioning of the industry and what will be advantageous for the business. Suppose a Machine Learning Engineer or a Data Scientist does not have business insight and the knowledge of aspects that lead to a successful business model, all those technical skills cannot be used in a productive manner.
  • Computer vision and machine learning are two important branches of computer science that can operate and drive very sophisticated systems. When you join the two, you can accomplish lot more.

2.

Roles and Responsibilities of Machine Learning Engineer and Data Scientist

Machine Learning Engineer Roles:

  • Understand and transform Data science prototypes
  • Frame Machine Learning Systems
  • Research and execute relevant ML algorithms and tools
  • Develop machine learning applications as per requirements
  • Choose relevant Datasets and Data Representation Methods
  • Initiate Machine Learning Tests and Experiments
  • Carry out Statistical analysis and Fine-Tuning applying Test Results
  • Train Systems
  • Retrain systems when needed
  • Extend existing ML Frameworks and Libraries
  • Be updated with Developments in the Field

Data Scientist Roles:

  • Choosing features, Developing and Optimizing Classifiers applying Machine Learning Techniques
  • Comprehend the customer’s business requirement and lead them to a solution
  • Data mining applying cutting-edge methods
  • Processing, cleansing, and checking the integrity of data used for evaluation
  • Carry out Market Research
  • Gather data and Recognize Strength
  • Apply Deep Learning frameworks like MXNet, Tensorflow, Theano and Keras to develop Deep Learning models
  • Identify Trends, Patterns and Correlations in complex data sets
  • Find out new opportunities for process enhancement
  • Collaborate with Professional Services DevOps consultants to assist customers work with models after they are created

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