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Data Science Full Stack Course


Start your data science journey with our Data Science Full Stack Fresher Program! Designed for beginners, this in-depth course covers Core Python, Machine Learning, Deep Learning, and Artificial Intelligence, along with essential tools and technologies. Through hands-on learning and real-world projects, you’ll gain the skills required for entry-level Data Science Full Stack Developer roles. Join us to fuel your passion for data science and discover exciting opportunities in this rapidly evolving field!

Download Data Science Full Stack 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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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 Full Stack Course Fee and Batches

Hands On Training
3-5 Real Time Projects
60-100 Practical Assignments
3+ Assessments / Mock Interviews
April 2024
Week days

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 2024
Week ends

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 Full Stack?

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 Full Stack Course

Download Syllabus
  • Learn Core Python for a strong programming foundation.
  • Understand Machine Learning algorithms and their uses.
  • Explore Deep Learning and its practical applications.
  • Discover Artificial Intelligence and its real-world uses.
  • Get hands-on with essential data science tools like Numpy, Pandas, Matplotlib, and Seaborn.
  • Gain practical experience through real-world projects.

Reason to choose SLA for Data Science Full Stack 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 Full Stack?Request a Free Callback

Highlights of The Data Science Full Stack Course

What is the Data Science Full Stack Developer course?


The Data Science Full Stack Developer course teaches you all the skills you need for a career in data science. You’ll learn Core Python, Machine Learning, Deep Learning, and Artificial Intelligence, as well as the tools and technologies used in the field. Through hands-on projects, you’ll gain the experience needed for entry-level roles in data science. The course is designed to spark your interest in data science and prepare you for success in this fast-growing field.

What are the reasons for learning Data Science Full Stack Developer?


There are several compelling reasons to learn Data Science Full Stack Developer:

  • Abundant Career Options: Data Science Full Stack Developers are highly sought-after, with diverse job opportunities in various sectors.
  • Adaptable Skills: These skills can be applied across different areas of data science, such as analysis, machine learning, and big data handling.
  • Lucrative Salaries: Data Science Full Stack Developers often earn competitive pay due to their specialized expertise and high demand.
  • Intellectually Stimulating: Developers tackle complex challenges using data, making their work engaging and innovative.
  • Meaningful Impact: By analyzing data, developers contribute significantly to business decisions and strategies.
  • Promising Future: With the growing reliance on data-driven insights, the demand for these developers is expected to continue rising, providing ample career growth opportunities.
What are the prerequisites for learning Data Science Full Stack Developer?


The Data Science Full Stack Developer course is open to all freshers interested in Data Science, without any prerequisites. It’s suitable for recent graduates or professionals looking for a career change. The course provides the essential skills and knowledge needed to succeed in Data Science, regardless of your background.

What are the course fees and duration?


The fees for our Data Science Full Stack Developer Job Seeker Program in Chennai vary based on the program level (basic, intermediate, or advanced) and the course format (online or in-person). On average, the fees for the Data Science Full Stack Developer Job Seeker Program in Chennai range from 50,000 INR to 65,000 INR for a duration of 4 months, which includes international certification. For accurate and current information regarding fees, duration, and certification, please reach out to our premier Data Science Full Stack Developer Training Institute in Chennai directly.

What are some job roles related to Data Science Full Stack Developer?


Some job roles related to Data Science Developer include:

  • Data Scientist: Analyzing data to find insights.
  • Data Engineer: Building and managing data pipelines.
  • Machine Learning Engineer: Developing machine learning models.
  • Big Data Developer: Working with large-scale data processing.
  • Business Intelligence Analyst: Analyzing data for business decisions.
  • Data Analyst: Examining data for trends and reports.
  • Data Architect: Designing data management solutions.
  • Full Stack Developer: Creating front-end and back-end for data applications.
What is the salary range for a Data Science Full Stack Developer?


As per Ambition Box, a Data Scientist fresher with less than three years of experience earns an average salary ranging from ₹2.5 Lakhs to ₹5 Lakhs per year. A mid-career Data Scientist with 4-9 years of experience earns an average salary of ₹9 Lakhs per year, while an experienced Data Scientist with 10-20 years of experience earns an average salary of ₹15 Lakhs per year.

List a few Data Science Full Stack Development real-time applications.


Data Science Full Stack Development has various real-world applications, including:

  • Finance: Using real-time data analysis for detecting fraud in banking transactions and analyzing stock market trends.
  • Healthcare: Implementing real-time monitoring systems for patients and providing personalized treatment recommendations.
  • E-commerce: Utilizing real-time data for suggesting products to customers and managing inventory effectively.
  • Transportation: Employing real-time data for monitoring traffic conditions and optimizing routes for logistics.
  • Manufacturing: Implementing real-time quality control measures and predicting maintenance needs for machinery.

Who are our Trainers for The Data Science Full Stack Course?

Our Mentors are from Top Companies like:
  • Our trainers have strong educational backgrounds, specializing in computer science, data science, or related fields.
  • They possess extensive industry experience, having worked on real-world projects in data science and full-stack development.
  • Many trainers hold certifications in data science, machine learning, and full-stack development.
  • With a background in teaching, they excel in explaining complex concepts effectively.
  • Our trainers specialize in various aspects of data science and full-stack development.
  • They are proficient in tools such as Python, R, Java, SQL, and data analysis and visualization tools.
  • Dedicated to learning continuously, they keep themselves updated with the latest trends.
  • Providing mentorship and guidance, our trainers help students navigate the course and develop their skills.
  • Their exceptional communication skills aid in engaging students and facilitating interactive learning sessions.
  • Above all, our trainers are passionate about teaching and dedicated to student success.
Want to Speak to a Trainer about Data Science Full Stack?Request a Free Callback


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Project Practices for The Data Science Full Stack Course

Marketing Analytics

Analyzing customer behavior to optimize marketing strategies and improve campaign performance

Energy Management

Optimizing energy usage in buildings and industries through data analytics and IoT technologies

E-commerce Personalization

 Utilizing customer data to provide personalized recommendations and improve the shopping experience

Environmental Monitoring

Using IoT devices and data analytics to monitor environmental parameters and track changes over time.

Transportation and Logistics

Utilizing data analytics to optimize routes, reduce delivery times, and improve overall efficiency in transportation and logistics

Manufacturing Optimization

Using data analytics to optimize production processes, reduce downtime, and improve product quality.


Using data science to optimize crop yield, monitor soil health, and manage water resources efficiently


Using data analytics to detect and respond to cybersecurity threats in real-time.

Insurance Risk Assessment

Using machine learning models to assess insurance risks and determine premiums accurately.

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The SLA way to Become
a Data Science Full Stack Expert


Technology Training

Coding Practices
Realtime Projects

Placement Training

Aptitude Training
Interview Skills
CRM System Testing

Panel Mock



IT Career

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Placement Support for a Data Science Full Stack 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 Full Stack Course

What is SLA’s Job Seeker program?


SLA’s Job Seeker program is designed to help freshers enter the IT industry quickly. The program offers a syllabus tailored for each fresher, based on the expectations of IT clients. It focuses on providing a combination of technologies in full-stack development, which enhances the fresher’s chances of securing a job in IT.

Does data science have future?


Yes, data science has a bright future. As businesses and industries generate more data, the demand for skilled data scientists will increase. Data science is already used in various fields and with advancements in technology, its role will become more crucial in decision-making and innovation.

What skills are required for data scientist?


Data scientists need to be skilled in programming languages like Python, R, and SQL, and have a good understanding of statistics and machine learning. They should also be adept at cleaning and organizing data, visualizing data effectively, and have knowledge of the industry they work in. Strong problem-solving, communication, curiosity, and creativity are also essential skills.

What does a data scientist do?


A data scientist analyzes data to find useful information and solve problems. They use statistics, machine learning, and programming to clean, process, and study large datasets. Data scientists also create visualizations and share their findings with others to help organizations make decisions based on data.

Is data science need coding?


Yes, data science requires coding skills. Data scientists use programming languages like Python, R, and SQL to clean, process, analyze, and visualize data. Coding is essential for data scientists to manipulate data, build machine learning models, and extract insights from datasets.

What is the salary of full stack data scientist?


The salary for a full-stack data scientist can differ based on variables like experience, location, and the company.  However, on average, a full-stack data scientist with less than three years of experience can earn around 3 lakhs per annum. With increasing experience and expertise, their salary has the potential to rise substantially.

Does SLA offer any certification or badge for Data Science Full stack developer Jobseeker program?


Yes, SLA offers IBM-accredited certifications upon successful completion of their Java Full stack developer training course.

How does the placement team at SLA support us?


The placement team at SLA enhances your job prospects by providing comprehensive support. Whether you’re a certified student looking to switch careers or entering the workforce for the first time, you’ll receive extensive assistance through our placement services. SLA offers the following premium services as part of our placement support:

  • Resume building
  • Career guidance and advising
  • Interview practice sessions
  • Career expos
What methods of payment are available?


We accept all major payment methods. Cash, debit cards, credit cards (including Master, Visa, and Maestro), net banking, UPI, etc.

I have more queries?


Please contact our course counselor by call or Whatsapp at +91 86818 84318. As an alternative, you can use our Website chat, Website form, or email us at [email protected].

Additional Information for
The Data Science Full Stack Course

Future perspectives and scope of Data Science Full Stack Developer Program:


Promising Career Paths

The Data Science Full Stack Developer Program offers bright career opportunities. With businesses increasingly relying on data-driven decisions, there’s a growing demand for professionals skilled in both data science and full-stack development. Graduates can explore roles like data scientist, data engineer, or full-stack developer, among others, thanks to the program’s comprehensive curriculum and hands-on learning.


Adaptability Across Industries

This program’s versatility is a big plus, as data science and full-stack development skills are valuable in various industries. Graduates can work in finance, healthcare, e-commerce, and more, giving them the flexibility to switch between industries as their interests evolve. Real-world projects ensure they’re well-prepared for diverse job markets.


Continuous Learning and Growth

The Data Science Full Stack Developer Program lays a strong foundation for lifelong learning and career advancement in the tech field. By mastering data science techniques, programming languages, and full-stack tools, graduates can adapt to new technologies. Emphasizing ongoing learning, the program prepares graduates to thrive in a dynamic tech landscape.

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