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Software Training Institute in Chennai with 100% Placements – SLA Institute

Data Science Fullstack Online Training

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DURATION
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4 Months
EMI
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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.

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Syllabus of Data Science Fullstack Online Course

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  • 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
  • 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 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
  • 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
  • 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 Online Course

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.
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Highlights of Data Science Fullstack Online Course?

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.

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.

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

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.

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.

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.

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 Data Science Fullstack Online Course with 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.
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Explore Real Projects Built by Softlogic Students

Explore the real-world, enterprise-level projects designed and executed by our successful alumni. Gain the same hands-on exposure to live industry projects, build a standout portfolio, and prove your practical skills to top hiring managers instantly.
Live Polling and Feedback System
Smart Home Automation
Live Sports Analytics
Project Practices for Data Science Fullstack Online Course

Why Softlogic Systems is the Best Choice for Data Science Fullstack Online Course

Crowdfunding Platform
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.
Voting System with Python Django
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.
500+ 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.
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Certifications

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.

The Global Edge: Certified Vs. Uncertified

With Global Certification

  • ✅ Visibility in ATS Filters
  • ✅Command Higher Hikes
  • ✅ Verified Skill Proof
  • ✅Global Job Access
  • ✅ Fast-Tracked Senior Roles

Without Global Certification

  • ❌ Stuck in Screening
  • ❌ Lower Starting Pay
  • ❌ Unproven Technical Ability
  • ❌ Limited Local Scope
  • ❌ Slower Career Leader
  •  
Let's take the First Step to a better future! GET Free Career Guidance
The SLA Way to Get Placed

The SLA Way to Get Placed

Seven connected stages, one continuous path from enrollment to your career launch — here is exactly how it works, step by step.

01
🎓

Technical Mastery

Industry-aligned curriculum, daily coding tasks, real-time projects

02
💻

Career Readiness

Aptitude, Communication, ATS-friendly resume optimization

03
🎯

Placement Prep

Aptitude, communication tuning and technical interview mastery.

04
💬

Panel Mock Interviews

Real company-pattern mocks with expert panel feedback.

05
👨‍💼

Interview schedule

Multiple company drives with lifetime placement support.

06
📝

Interview Feedback

Detailed performance analysis and one-on-one guidance.

07
🏆

Launch Your Career

Land your first job with lifetime alumni and career support.

Listen to Our Students' Video Testimonials

FAQ

Yes, full stack development involves coding. Developers write code for both the frontend and backend of web applications.

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.

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.

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.

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.

Yes, SLA does indeed give the option of EMI to students with 0% interest. 

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

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.

We accept all sort of major payment methods like cash, credit cards (Visa, Maestro, Master card), Netbanking, etc

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

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