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

Data Science Fullstack Training In OMR

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Join Our 100% Job-Guaranteed Data Science Full Stack Course in OMR. We Provide Quality Data Science Full Stack training with an affordable Cost in OMR. 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. At Softlogic Systems, you’ll earn globally recognized certifications, build real-time projects, and receive complete placement assistance to launch a successful career in your chosen field.

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Syllabus of Data Science Fullstack Course In OMR

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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 Course In OMR

The objectives of learning Data Science Fullstack Training include

  • Master frontend and backend development.
  • Learn data analysis techniques.
  • Build machine learning skills.
  • Develop proficiency in web development.
  • Gain practical experience with projects.
  • Ensure alignment with industry standards.
  • Obtain certifications and support for placements.
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Highlights of Data Science Fullstack Course In OMR?

Data Science Fullstack entails proficiency in both frontend and backend tasks of data science, including data analysis, machine learning, and web development. It enables professionals to handle the entire project lifecycle, from data processing to building and deploying interactive applications.

Learning Data Science Fullstack has many advantages:

  • Versatility: It teaches both frontend and backend tasks, making you adaptable.
  • Independence: You can manage projects from start to finish.
  • Career Opportunities: There are many job options.
  • Problem-Solving: You’ll solve problems more effectively.
  • Real-World Use: You’ll create practical solutions.

Prerequisites for learning Data Science Fullstack include basic programming skills in Python or R, knowledge of data analysis techniques, and familiarity with HTML, CSS, and JavaScript for frontend development.

Our Data Science Fullstack Training in OMR is suitable for:

  • Students
  • Professionals seeking a career change
  • IT professionals aiming to enhance their skills
  • Enthusiastic programmers
  • Job Seekers

For our Data Science Fullstack Training in OMR, program fees vary based on the level (basic, intermediate, or advanced) and format (online or in-person). Typically, fees range from 50,000 INR to 65,000 INR for a 4-month duration, inclusive of international certification. For precise details, contact our institute directly.

Some job roles related to Data Science Fullstack are:

  • Data Scientist: Analyzes data and builds models.
  • Fullstack Developer: Designs and develops applications.
  • Machine Learning Engineer: Implements machine learning.
  • Data Engineer: Builds data pipelines.
  • Data Analyst: Extracts insights from data.
  • Business Intelligence Developer: Creates visualization tools.

A fresher Data Scientist, with less than three years of experience, typically earns an average annual salary of ₹9,80,000 Lakhs. A mid-career Data Scientist, with 4-9 years of experience, earns around ₹16,00,000 Lakhs per year on average, while an experienced Data Scientist, with 10-20 years of experience, earns an average annual salary of ₹23,00,000 Lakhs.

Here are some examples of real-time applications made with Data Science Fullstack:

  1. Predictive Maintenance: Forecasting equipment failures for timely maintenance.
  2. Personalized Recommendations: Suggesting products based on user behavior.
  3. Fraud Detection: Spotting fraudulent activities in transactions.
  4. Health Monitoring: Tracking and analyzing health data in real-time.
  5. Smart Manufacturing: Optimizing production with data and IoT sensors.
  6. Traffic Management: Improving flow and reducing congestion with data analysis.
  7. Energy Optimization: Minimizing energy wastage and improving efficiency in power grids.

Boost your skills with Data Science Fullstack Course In OMR with Experts

Our Mentors are from Top Companies like:
  1. Our Data Science Fullstack Training in OMR is led by experienced trainers with extensive industry knowledge.
  2. Trainers are proficient in frontend and backend technologies, including Data Science programming and Spring Boot.
  3. They possess expertise in essential web development concepts such as HTML, CSS, Data ScienceScript, and Bootstrap frameworks.
  4. Trainers excel at simplifying complex concepts, ensuring comprehensive understanding among students.
  5. Drawing from real-world application development experience, they offer valuable practical insights to students.
  6. Committed to continuous learning, trainers stay updated with the latest trends and technologies in Data Science Full Stack Development.
  7. They prioritize building students’ foundational knowledge and practical skills for professional success.
  8. Trainers foster an inclusive learning environment where collaboration and inquiry are encouraged.
  9. Their passion for sharing knowledge and expertise motivates students to excel in their careers.
  10. With dedication and support, trainers empower students to become proficient Data Science Full Stack Developers.
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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.
Customer Churn Prediction
Social Media Sentiment Analysis
Energy Consumption Optimization
Project Practices for Data Science Fullstack Course In OMR

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

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.
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.
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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
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Interview schedule

Multiple company drives with lifetime placement support.

06
📝

Interview Feedback

Detailed performance analysis and one-on-one guidance.

07
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Launch Your Career

Land your first job with lifetime alumni and career support.

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FAQ

Yes, Full-stack skills are beneficial for data science. They offer a complete understanding of both frontend and backend technologies, allowing data scientists to create end-to-end applications, visualize data effectively, deploy quickly, integrate with backend systems, and collaborate efficiently.

Yes, data science usually involves coding, but the amount required can vary. Tasks like data cleaning and building models often require significant coding, while others, like visualization, may need less. However, knowing languages like Python or R is crucial for most data science jobs.

Yes, data science often involves SQL for querying and manipulating databases. It’s crucial for tasks like data extraction and analysis.

Data science offers varied stress levels based on project demands and individual preferences, with some finding it less stressful due to its problem-solving nature and data-centric focus.

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 OMR, featuring placement support.

Yes, SLA does have an EMI option 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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