Our Data Science Fullstack Online Training programs are designed for students, freshers, and working professionals who want to upskill and stay relevant. We offer Data Science Fullstack Online Courses that are practical, interactive, and aligned with the latest industry demands. 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. Enroll now and learn from industry experts with flexible timings and get Job support.
Data Science Fullstack Online Training
4.80
(5489)
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
- Develop Comprehensive Skills: Learn both data science and full stack development to create complete data-driven applications.
- Data Analysis: Understand how to clean, process, and analyze data to find insights.
- Machine Learning: Master algorithms and techniques to build predictive models.
- Big Data Tools: Learn to use tools like Hadoop and Spark for managing large datasets.
- Frontend Development: Gain skills in HTML, CSS, and JavaScript for creating user interfaces.
- Backend Development: Learn to build server-side applications with frameworks like Flask or Django.
- Database Management: Understand how to use relational and NoSQL databases for data storage.
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 involves skills in both data science and full stack development. It includes data analysis, machine learning, and web development. This allows you to handle everything from data processing to creating web applications and deploying machine learning models.
What are the reasons for learning Data Science Fullstack?
Learning Data Science Fullstack has several benefits:
- Versatility: Master both data science and web development, increasing your job options.
- High Demand: Both fields are in demand, offering many job opportunities.
- End-to-End Skills: Build complete applications, from data processing to web interfaces.
- Career Growth: Boost your career with a valuable, comprehensive skill set.
- Innovation: Stay ahead by integrating data science with web development.
- Problem Solving: Improve your ability to solve complex problems.
- Higher Salary: Earn more with skills in both data science and full stack development.
What are the prerequisites for learning Data Science Fullstack?
No mandatory prerequisites. However, basic programming knowledge and familiarity with concepts like data analysis and web development are beneficial.
Our Data Science Fullstack Online Training 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 Online Training vary based on the program level (basic, intermediate, or advanced) and the course format (self-paced or instructor-led). Generally, fees range from 25,000 INR to 45,000 INR for a 3-month duration, inclusive of international certification. For the most current information on fees, duration, and certification, please contact our premier Data Science Fullstack Online Training Institute directly.
What are some job roles related to Data Science Fullstack?
Job roles related to Data Science Fullstack include:
- Data Scientist: Analyzes data and builds machine learning models.
- Full Stack Developer: Creates both frontend and backend of web apps.
- Machine Learning Engineer: Implements and deploys ML models.
- Data Engineer: Manages data pipelines.
- Web Developer: Builds and maintains websites.
What is the salary range for Data Science Fullstack Developer?
A Data Science Full Stack Developer typically earns around ₹4,90,000 Lakhs annually with less than three years of experience. After 4-9 years, a mid-career Developer can expect to earn approximately ₹12,50,000 Lakhs per year. With 10-20 years of experience, an experienced Developer can earn about ₹29,30,000 Lakhs per year.
List a few Data Science Fullstack real-time applications.
Here are a few real-time applications made with Data Science Fullstack:
- Online Shopping Recommendations: Using data analysis to suggest products based on a customer’s shopping behavior.
- Fraud Detection: Using algorithms to detect fraudulent activities, like credit card fraud, in real time.
- Healthcare Analytics: Analyzing patient data to improve healthcare outcomes and decision-making.
- Smart Manufacturing: Using data from sensors to optimize manufacturing processes and reduce downtime.
- Predictive Maintenance: Predicting when equipment needs maintenance to avoid breakdowns.
- Social Media Analysis: Analyzing social media data to understand public opinions and trends.
Boost Your Skills with Our Data Science Fullstack Training Experts
Our Mentors are from Top Companies like:
- Our trainers boast over 5 years of practical experience in Data Science Fullstack development.
- Proficient in Data Science, Spring, Angular/React, and MySQL/Oracle, they offer thorough Fullstack development guidance.
- Holding certifications in Data Science Fullstack, they demonstrate a commitment to continuous improvement.
- Remaining updated with industry trends, they deliver current and relevant training content.
- They provide effective online training, ensuring clarity in communication and understanding.
- Simplifying complex concepts for easy comprehension, they excel in clear and concise communication.
- Guiding students through challenges, they offer practical solutions and effective learning strategies.
- Engaging students through interactive sessions and practical demonstrations, they reinforce learning.
- Providing valuable feedback and continuous support, they ensure student success and improvement.
- Their genuine passion for teaching creates an environment conducive to learning and growth.
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
Live Polling and Feedback System
Smart Home Automation
Live Sports Analytics
Real-Time Inventory Management
Emergency Response System
Live Event Monitoring
Weather Forecasting
Dynamic Ad Placement
Live Streaming Analytics
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
Unlimited
Interviews
Interview
Feedback
100%
IT Career
Placement 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
digital portfolio
Panel Mock Interview
Unlimited Interviews until you get placed
Life Long Placement Support at no cost
Unlock Career Opportunities with our Placement TrainingRequest a Free Callback
FAQs
Is full stack need coding?
Yes, full stack development involves coding. Developers write code for both the frontend and backend of web applications.
Is full-stack the future?
Yes, full-stack development is expected to be in high demand, as companies value developers who can work on both frontend and backend technologies efficiently.
Is full-stack useful for data science?
Yes, full-stack skills are beneficial for data science. They enable the development of end-to-end solutions, from data collection to model deployment, enhancing scalability and comprehensiveness in project development.
Is Data Science in demand in 2024?
Yes, Data Science continues to be in high demand in 2024. Organizations across industries are increasingly relying on data-driven insights to make informed decisions, driving the need for skilled data scientists.
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 online course, featuring placement support.
Does SLA support the EMI option?
Yes, SLA does indeed give the option of EMI to students with 0% interest.
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 accreditation will I get once the course is completed?
Upon completion of SLA’s training, you will be awarded with globally recognized course completion certificates from SLA, renowned IBM certificates, and Codeathon certificates, validating your real-time project experience.
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
The Data Science Fullstack Course offers promising future prospects as industries increasingly rely on data-driven insights. Businesses value professionals who can handle data across the entire stack, from collection to analysis and deployment.
Technological Advancements
Keeping pace with technological advancements is crucial. The course prepares individuals to stay updated with the latest tools and techniques in data science. This ensures they remain competitive and relevant in the ever-evolving field.
Career Opportunities
The course opens up diverse career opportunities. With the demand for data-driven decision-making on the rise, professionals with Data Science Fullstack skills are in high demand across various industries. Continuous learning is key to staying ahead in this dynamic field.
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