Our Data Science Fullstack Online Training equips learners with essential skills in both data science and full-stack development. Offered by our leading Data Science Fullstack Online Training Institute, this course covers key data science topics such as data wrangling, machine learning, and big data technologies. Participants also gain proficiency in frontend technologies like HTML, CSS, and JavaScript, and backend frameworks like Flask or Django. Through hands-on projects, students build end-to-end applications, integrating machine learning models into web environments. This comprehensive Data Science Fullstack Online Course with Certifications and Placements prepares professionals for various roles in the dynamic field of data science.
Data Science Fullstack Online Training
4.80
(5489)
Download Syllabus PDF
DURATION
4 Months
Mode
Live Online / Offline
EMI
0% Interest
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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
or any other questions...
Breakdown of Data Science Fullstack Online Training Fee and Batches
Hands On Training
3-5 Real Time Projects
60-100 Practical Assignments
3+ Assessments / Mock Interviews
April 2025
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
April 2025
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 Online Training
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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 Learning Data Science Fullstack Online Training
Download Syllabus
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.
Reason to choose SLA for Data Science Fullstack Online 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 our Trainer about Data Science Fullstack Online Training?Request a Free Callback
Highlights of The Data Science Fullstack Online Training
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.
Who are our Trainers for Data Science Fullstack Online Training?
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 our Trainer about Data Science Fullstack Online Training?Request a Free Callback
What Modes of Training are available for Data Science Fullstack Online Training?
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 Online Training?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 an IBM Certification
Get an IBM certification 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.
Project Practices for Data Science Fullstack Online Training
Live Polling and Feedback System
Implementing a system for conducting live polls and collecting feedback from audiences in real time.
Smart Home Automation
Developing a system that automates home appliances and devices based on real-time data, such as occupancy or energy usage.
Live Sports Analytics
Analyzing sports data in real time to provide insights for coaches, players, and fans.
Real-Time Inventory Management
Managing inventory levels in real time based on sales data, forecasts, and supply chain information.
Emergency Response System
Building a system that coordinates emergency response efforts based on real-time data from various sources.
Live Event Monitoring
Monitoring events such as server performance, network traffic, or social media mentions in real time to detect issues or trends.
Weather Forecasting
Using real-time weather data to predict weather conditions and provide timely updates and alerts.
Dynamic Ad Placement
Developing a system that places ads on websites or apps dynamically based on user behavior and content context.
Live Streaming Analytics
Analyzing data from live streams, such as video streams or sensor data, to extract insights or detect anomalies in real time.
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The SLA way to Become
a Data Science Fullstack Online Training Expert
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%
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Discover What Our Students Have To Say
See More ReviewsPlacement Support for a Data Science Fullstack Online Training
Genuine Placements. No Backdoor Jobs at Softlogic Systems.
Free 100% Placement Support
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
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FAQs for
Data Science Fullstack Online Training
Is full stack need coding?
1.
Yes, full stack development involves coding. Developers write code for both the frontend and backend of web applications.
Is full-stack the future?
2.
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?
3.
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?
4.
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?
5.
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?
6.
Yes, SLA does indeed give the option of EMI to students with 0% interest.
How does the placement team at SLA support us?
7.
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?
8.
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?
9.
We accept all sort of major payment methods like cash, credit cards (Visa, Maestro, Master card), Netbanking, etc
I have more queries?
10.
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
Data Science Fullstack Online Training
Our Data Science Fullstack Online Training 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 Fullstack syllabus will teach you topics that no other institute will teach. Enroll in our Data Science Fullstack training to explore some innovative Top project ideas for the Data Science Fullstack Course.
1.
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.
2.
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.
3.
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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