Softlogic Systems is No. 1 institute for Data Science Fullstack training in Chennai for assured placements. Our Data Science Full Stack Course Syllabus covers Python programming, statistics, data wrangling, data visualization, machine learning, deep learning, big data tools, cloud deployment, and real-world project implementation Our Data Science Fullstack course in Chennai comes with placement support, flexible schedules, real-time projects, and certification to help you successfully launch your career. Our placement team connects you with top IT companies for a smooth career transition.
Data Science Fullstack Training In Chennai
4.70
(8541)
DURATION
4 Months
EMI
0% Interest
Mode
Live Online / Offline
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Course Syllabus
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Fees, Duration & Batch Timings for Data Science Fullstack Course
Hands On Training
3-5 Real Time Projects
60-100 Practical Assignments
3+ Assessments / Mock Interviews
July 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
July 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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Syllabus of Data Science Fullstack Course
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CORE PYTHON
- Python Introduction & history
- Color coding schemes
- Salient features & flavors
- Application types
- Language components (variables, literals, operators, keywords…)
- String handling management
1. String operations – indexing, slicing, ranging
2. String methods – concatenation, repetition, formatting
3. Supporting functions - Native data types
1. List
2. Tuple
3. Set
4. Dictionary - Decision making statements
1. If
2. If…else
3. If…elif…else - Looping statements
1. For loop
2. While loop - Function types
1. Built-in functions
2. Math functions
3. User defined functions
4. Recursive functions
5. Lambda functions - OOPs
1. Classes and objects
2. __init__ constructor
3. Self-keyword
4. Data abstraction
5. Data encapsulation
6. Polymorphism
7. Inheritance - Exception handling
1. Error vs exception
2. Types of error
3. User defined exception handling
4. Exception handler components
5. Try block, except block, finally block - File handling
1. How to create a txt file using python
2. File access modes
3. Reading and writing data to a txt file
4. Data operations
DATA SCIENCE PHASE 1
- Working with PANDAS & NUMPY
1. PANDAS – data analysis intro
2. PANDAS – data structures
3. Series creation types
4. Data Frame creation types
5. Accessing data from Series and DataFrame
6. Data merging - Working with PANDAS & NUMPY
1. Data mapping
2. Finding duplicates
3. Removing duplicates
4. Describing data
5. Finding null values
6. Group by function
7. Sort values
8. Statistical functions
9. Reading and writing data from CSV
10. Data operations on CSV file
11. Basic visualizations
12. NUMPY array processing intro
13. Types of ndarray - Numpy attributes
1. ndim
2. shape
3. size
4. type - Shape manipulations
1. Ravel
2. Reshape
3. Resize
4. Hsplit
5. Vstack - Numpy additional functions
1. Tile
2. Eye
3. Zeros
4. Ones
5. Diag
6. arange
7. New axis addition
8. Random number generation
DATA SCIENCE PHASE 2
- Data science terminologies
- Exploratory data analysis intro
- Types of machine learning algorithms
- Classification and regression intro
- Prediction and analysis techniques to be used in ML
- MATPLOTLIB – data visualization
1. Histogram
2. Pdf
3. Adding axes
4. Adding grid
5. Adding label
6. Adding ticks
7. Setting limits
8. Adding legend - MATPLOTLIB plotting
1. Bar chart
2. Pie chart
3. Heat map
4. Box plot
5. Scatter plot
6. 3d plot - SEABORN – advanced color palette visualization
1. Bar chart
2. Pie chart
3. Dist plot
4. Pair plot
5. Reg plot
6. Count plot
7. Swarmplot
8. Heat map
9. Scatter plot
10. Lm plot
EDA – MACHINE LEARNING –WORKING WITH SCIKIT-LEARN
- Machine learning algorithm types
1. Supervised learning
2. Unsupervised learning
3. Ensemble learning technique - Working flow of dataset
1. Loading necessary modules
2. Loading dataset
3. Feature scaling
4. Feature extraction
5. Data standardization
6. Data normalization
7. Data manifesting
8. Model creation
9. Fitting data models
10. Model prediction - ML algorithms with live demo and mathematical intuition
1. Linear regression
2. Logistic regression
3. Naïve bayes classifier
4. KNN (K nearest neighbor)
5. KMC (K means clustering)
6. Support vector machines
7. Principal component analysis
8. Decision tree
9. Random forest
10. XGBoost
DEEP LEARNING & AI
- Neural networks introduction
- Brain activation functions and layer components
- Neural network terminologies of ANN, CNN, RNN
1. Models
2. Initializers
3. Optimizers
4. Layers
5. Activation functions
6. Loss functions
7. Metrics
8. Model compilations
9. Model evaluation
10. Max pooling layers
11. Edge filters
12. Back propagations
13. Early stopping
14. Epoch - Datasets to be used for MLP,ANN, CNN,RNN
1. Boston house prediction
2. CIFAR10
3. CIFAR100
4. MNIST
5. FASHION MNIST
6. IMDB Movie review analysis - NLP (Natural Language Processing)
1. NLTK
2. NLTK
3. SPACY - COMPUTER VISION
1. Digital Image Processing using CV2 library
2. LIVE PROJECTS
Objectives of Data Science Fullstack Training
The objectives of learning Data Science Fullstack Training include
- Grasping data science concepts deeply.
- Developing proficiency in Python and R programming.
- Getting hands-on experience through projects.
- Learning data analysis techniques effectively.
- Mastering machine learning methods.
- Understanding deployment and scalability principles.
- Preparing for careers in data science.
Why Softlogic Systems is the Best Choice for Data Science Fullstack Training – Learn, Practice, and Get Placed!
Online & Offline Training Options
Learn at your convenience with flexible classroom and live online training.
Learn from 100+ Real-Time Developers
Get trained by industry professionals with years of hands-on experience.
Hands-on Projects & Codeathons
Practice with real-time projects and coding challenges to build confidence.
0% EMI Fee Options
Pay your course fees flexibly with easy EMI plans at zero interest.
Resume & Interview Support
Get expert help with resume building, mock interviews, and soft skills.
Placement with Top IT Firms
Access placement opportunities with leading MNCs and IT companies.
1000+ Hiring Partners
Benefit from Softlogic’s strong recruiter network for faster job placement.
No Backdoor Jobs
We ensure only genuine placement opportunities with trusted companies.
Want to Speak to a Trainer about Data Science Fullstack?Request a Free Callback
Highlights of Data Science Fullstack Course
What is Data Science Fullstack?
Data Science Fullstack covers all aspects of working with data, from start to finish. It includes skills in programming, data visualization, statistics, and machine learning. A Data Science Fullstack professional can handle various tasks in data science projects, making them valuable for solving complex problems and making informed decisions using data.
What are the reasons for learning Data Science Fullstack?
Learning Data Science Fullstack is beneficial because:
- Gain skills in programming, data analysis, and machine learning.
- Opens up various job opportunities.
- Helps you understand how data drives decisions.
- Improves problem-solving abilities by analyzing data.
- Enables innovation and efficiency in organizations.
- Skills are valuable across different industries.
What are the prerequisites for learning Data Science Fullstack?
For Data Science Fullstack, no mandatory prerequisites are required, but having some basics covered can be helpful. You’ll find it beneficial to have programming skills, especially in Python or R, and a grasp of math and statistics.
Our Data Science Fullstack Training in Chennai is suitable for:
- Students
- Professionals seeking a career change
- IT professionals aiming to enhance their skills
- Enthusiastic programmers
- Job Seekers
What are the course fees and duration?
The fees for our Data Science Fullstack Training in Chennai vary depending on the program level (basic, intermediate, or advanced) and the course format (online or in-person). On average, fees for the Data Science Fullstack Training in Chennai range from 50,000 INR to 65,000 INR for a duration of 4 months, which includes international certification. For precise and up-to-date information regarding fees, duration, and certification, please contact our leading Data Science Fullstack Training Institute in Chennai directly.
What are some job roles related to Data Science Fullstack?
Job roles related to Data Science Fullstack include:
- Full Stack Developer: Handles both frontend and backend development.
- Data Science Developer: Specializes in backend coding.
- Frontend Developer: Focuses on user interface design.
- Backend Developer: Works on server-side logic.
- Web App Developer: Builds and deploys web applications.
- Software Engineer: Develops software using Data Science Fullstack.
- Systems Analyst: Translates business needs into technical requirements.
- Technical Lead: Guides a team in Data Science Fullstack development.
What is the salary range for Data Science Fullstack Engineer?
For a Full Stack Data Scientist with less than three years of experience, the average annual salary ranges from ₹2,50,000 Lakhs to ₹5,00,000 Lakhs. Those with 4-9 years of experience earn around ₹9,00,000 Lakhs per year, while experienced professionals with 10-20 years of experience earn an average of ₹15 Lakhs per year.
List a few Data Science Fullstack real-time applications.
Here are some practical uses of Data Science Fullstack:
- Predicting Equipment Failures: Using sensors and smart algorithms to foresee machinery issues and plan maintenance before breakdowns occur.
- Detecting Fraud: Analyzing transaction data instantly to spot suspicious activity and prevent financial fraud.
- Personalized Recommendations: Using data to suggest products or content tailored to individual preferences.
- Health Monitoring: Tracking vital signs in real-time to detect health problems early on.
- Self-Driving Cars: Employing sensors and AI to enable vehicles to drive themselves safely.
- Optimizing Supply Chains: Using data to improve the efficiency of shipping and distribution processes.
- Managing Energy Usage: Analyzing energy data to reduce waste and enhance sustainability efforts.
Boost Your Skills with Our Data Science Fullstack Training Experts
Our Mentors are from Top Companies like:
- Our trainers, equipped with strong academic backgrounds in computer science or related fields, lead the way in our Data Science Fullstack Training in Chennai programs.
- Our trainers bring extensive industry experience, having actively participated in real-world projects focusing on data science and full-stack development.
- Many of our trainers have earned certifications in data science, machine learning, and full-stack development, showcasing their dedication to professional growth.
- Excelling in simplifying intricate concepts, Our trainers leverage their teaching backgrounds to effectively convey knowledge.
- Their expertise encompasses various aspects of data science and full-stack development, ensuring comprehensive coverage in our training.
- Proficient in essential tools such as Python, R, Java, SQL, and data analysis and visualization tools, Our trainers offer practical insights into industry-standard technologies.
- Committed to continuous learning, our trainers stay abreast of the latest industry trends, enhancing the relevance of our training programs.
- Providing mentorship and guidance, Our trainers play a pivotal role in supporting students throughout their learning journey.
- Their exceptional communication skills contribute to creating engaging and interactive learning environments, fostering student participation.
- Motivated by a passion for teaching and dedicated to student success, Our trainers strive to empower learners with valuable skills and knowledge.
Want to Speak to a Trainer about Data Science Fullstack?Request a Free Callback
What Modes of Training are available for Data Science Fullstack Course?
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 Fullstack?GET Free Consultation
Certifications
Take your career to new heights with Softlogic's software training certifications.
Improve your abilities to get access to rewarding possibilities
Improve your abilities to get access to rewarding possibilities
Earn Your Certificate of Completion
Validate your achievements with Softlogic's Certificate of Completion, verifying successful fulfillment of all essential components.
Take Your Career to the Next Level with Certifications
Get a certifications through our training programs to gain a competitive edge in the industry.
Stand Out from the Crowd with Codethon Certificate
Verify the authenticity of your real-time projects with Softlogic's Codethon certificate.
Hands-on Project Practices in Data Science Fullstack Course
Stock Market Prediction
Social Media Sentiment Analysis
Energy Management
Supply Chain Optimization
Autonomous Vehicles
Health Monitoring
Personalized Recommendations
Fraud Detection
Predictive Maintenance
The SLA Way to Get Placed in Top IT Companies
Enrollment
Technology Training
Coding Practices
Realtime Projects
Realtime Projects
Placement Training
Aptitude Training
Interview Skills
Interview Skills
Panel Mock
Interview
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Interviews
Interview
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Google Reviews
Rating
4.8
1,053 Google reviews
MATHAN KUMAR G EEE
SLA Institute provides a structured learning environment for data analytics. The syllabus is relevant, and trainers are knowledgeable. Some sessions were very useful practically, while…
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Hi, I recently completed the DOT NET Full Stack Development course at SLA, and I had a great learning experience. The teaching style and student…
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I had a 3 year career break. Joined SLA on Java Full Stack course and completed it.Did projects with the help of my Mentor. They…
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SLA Institute provides training in communication and aptitude along with strong technical skills. The trainers explain concepts clearly with a practical approach, which helps build…
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I had an excellent experience taking this DevOps course. The curriculum is well-structured and covers both fundamental and advanced DevOps concepts in a clear manner.…
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Special thanks to Vishal Sir, the Placement Officer, for his interview guidance, resume support, and continuous motivation throughout the placement process. I would also like…
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Discover What Our Students Have To Say
See More ReviewsPlacement Support for a Data Science Fullstack Job
Genuine Placements. No Backdoor Jobs at Softlogic Systems.
Aptitude Training
from Day 1
Interview Skills
from Day 1
Softskills Training
from Day 1
Build Your Resume
Build your LinkedIn Profile
Build your GitHub
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Panel Mock Interview
Unlimited Interviews until you get placed
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FAQs
Is full-stack useful for data science?
Yes, full-stack skills are useful for data science because they enable professionals to handle both frontend and backend aspects of data science projects, facilitating end-to-end development and deployment of data-driven applications.
Is full-stack need coding?
Yes, full-stack development typically involves coding, as it encompasses both frontend and backend development tasks. Knowledge of programming languages like JavaScript, HTML, CSS, and backend languages such as Python, Java, or Ruby, is essential for full-stack developers.
Is Data Science full stack still in demand?
Yes, Data Science Full Stack roles are still in high demand as organizations continue to invest in data-driven decision-making and require professionals who can handle both data analysis and software development tasks effectively.
Do data scientists get paid well?
Yes, data scientists often receive competitive salaries due to the high demand for their skills and expertise in analyzing and interpreting complex data.
Can I still join job placement events if I already have a job offer?
Definitely! We offer ongoing placement assistance to help candidates achieve their career goals. Contact our career advisor to arrange a free demo for the leading Data Science Fullstack course in Chennai, featuring placement support.
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
Is data scientist a stressful job?
The stress level in a data scientist’s job can differ based on workload and deadlines. While the work involves complex problem-solving and handling large datasets, many find it stimulating rather than stressful. However, there might be times of pressure, which varies for each person.
What are the different payment options available?
We accept all sort of major payment methods like cash, credit cards (Visa, Maestro, Master card), Netbanking, 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 enquiry@softlogicsys.in
Additional Information for
the Data Science Fullstack Course
Industry Relevance and Career Growth
The Data Science Fullstack Course provides students with highly relevant skills for diverse career opportunities in data analysis, software development, and machine learning engineering. The demand for professionals with combined skills in data science and full-stack development is expected to continue growing, offering opportunities for career advancement.
Continuous Learning and Technological Advancements
In a rapidly evolving landscape, the course fosters a mindset of lifelong learning, enabling graduates to adapt to new tools and methodologies in data science and full-stack development. By staying updated with the latest advancements, students remain competitive in the job market.
Entrepreneurship Opportunities and Global Impact
Graduates have the potential to launch ventures or contribute to startups, leveraging their skills to address global challenges in fields like healthcare and finance. With data-driven insights, they can drive meaningful change on a global scale.
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