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

Data Science Full Stack Course Syllabus

(1538)
Live Online & Classroom Training
duration
2-3 Months
EMI
0% Interest
Mode
Live Online / Offline
SLA Institute’s Data Science Full Stack Course Syllabus comes with 100% placement support so students will be guaranteed a placement in an esteemed organization. In addition to that the Data Science Full Stack Course Syllabus is also carefully curated with the help of leading professionals and experts from the IT industry with so many hours invested in it. So, everything that our students learn in the Data Science Full Stack course is fully up-to-date to the current trends in the IT industry, which increases their chances of getting employed.

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Course Syllabus

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  • Understanding Data Science and Its Growing Demand
  • Role of a Full Stack Data Scientist
  • Key Tools and Technologies in Data Science
  • Overview of Data Engineering, Data Analysis, and Data Visualization
  • Real-World Applications of Data Science
  • Introduction to Python for Data Science
  • Key Python Libraries: NumPy, Pandas, Matplotlib, and Scikit-learn
  • Introduction to R Programming for Statistical Analysis
  • Data Structures and Algorithms for Data Science
  • Best Practices for Writing Efficient and Scalable Code
  • Data Sourcing: APIs, Web Scraping, Databases, and Open Datasets
  • Data Cleaning Techniques: Handling Missing Data, Duplicates, and Outliers
  • Feature Engineering and Dimensionality Reduction Techniques
  • Encoding Categorical Data and Normalization Methods
  • Automating Data Preprocessing Tasks
  • SQL for Data Science: Queries, Joins, Aggregations, and Subqueries
  • NoSQL Databases (MongoDB, Firebase) for Unstructured Data Storage
  • Cloud Databases and Data Warehousing Concepts
  • Optimizing Database Performance for Large-Scale Applications
  • Exploratory Data Analysis (EDA) for Insights Extraction
  • Visualization with Matplotlib, Seaborn, Plotly, and Tableau
  • Dashboard Development for Interactive Data Exploration
  • Best Practices for Data Storytelling and Presentation
  • Introduction to Supervised and Unsupervised Learning
  • Linear and Logistic Regression, Decision Trees, Random Forests
  • Clustering Techniques (K-Means, Hierarchical Clustering)
  • Model Evaluation, Bias-Variance Tradeoff, and Hyperparameter Tuning
  • Hands-on Machine Learning Projects
  • Introduction to Artificial Neural Networks (ANN)
  • Convolutional Neural Networks (CNN) for Image Processing
  • Recurrent Neural Networks (RNN) for Time Series and NLP
  • Transfer Learning and Pretrained Models
  • Hands-on Deep Learning Projects with TensorFlow and Keras
  • Frontend Development with HTML, CSS, JavaScript
  • React.js for Interactive Data Dashboards
  • Backend Development with Flask and Django for API Integration
  • Deployment of Data Science Applications on the Web
  • Understanding RESTful APIs and Their Role in Data Science
  • Creating APIs for Machine Learning Models
  • Testing and Securing APIs for Scalable Applications
  • Connecting Web and Mobile Apps to AI Models
  • Introduction to Cloud Platforms (AWS, Google Cloud, Azure)
  • Big Data Technologies: Hadoop, Spark, and Distributed Computing
  • Building and Managing Data Pipelines for Large Datasets
  • Cloud-Based Model Deployment and Scalability
  • Introduction to CI/CD in Data Science
  • Docker and Kubernetes for Model Deployment
  • Monitoring and Logging for Data Pipelines
  • Automation of Machine Learning Workflows
  • End-to-End Data Science Project Development
  • Real-World Case Studies from Finance, Healthcare, and E-commerce
  • Industry Best Practices and Ethical Considerations
  • Portfolio Building, Resume Writing, and Job Interview Preparation

In conclusion, the Data Science Full Stack Course Syllabus at SLA Institute helps people build skills in data science, data engineering, and machine learning. They learn by doing with data tools, visualization, and DevOps technologies, which gives them real-world experience. This course prepares learners for in-demand jobs in data science, analytics, and modern IT roles. The Data Science Full Stack Course Syllabus covers data science and machine learning. It helps learners get good at data engineering, too.

Student Testimonials

Hi, I am Vivekanandan, a student from a commerce background. I joined this institute to transition my career from non-IT to IT. During my time here, I have gained a significant amount of technical knowledge, aptitude skills, and communication skills. I have completed a Python Full Stack Developer course, and the coaching provided was excellent and easy to understand. Thanks to all my tutors for their guidance and support throughout my learning journey.

Vivekanandan
Python Full Stack

I’ve completed Angular in SLA , gud infrastructure and facilities for students and Muthu sir did his best to train non IT students as well. I’ve placed through the placement drive in SLA. Placement cell counsellor was well focused and attention on every student as well. I really appreciate that.

Priya Anandhan
Angular

The best place to learn and gain your dreamed IT job. Teaching was very good and easy to understand. They also provide lifetime placement for the students. Totally, nice experience and knowledge I gained through this institution.

Swetha Ganesan
AWS

I had a fantastic experience at SLA Institute. I have completed a dotnet course at SLA institute. My trainer name was Muthu Karthikeyan sir he trained me in basic and advanced topics.Daily Task, weekend tasks and presentations, Tasks improve my technical skills .The aptitude , soft skill and communication classes are also helps me to improve my skills. Placement team did an exceptional job by providing lots of opportunities and now I got placed in a reputed company for good package .Thanks to placement officers Janani mam ,janoline mam and My counselor Kavipriya akka thanks for SLA

Ramkumar V.g
DOT NET

SLA Institute is an excellent place to kickstart your career and enhance your skill set. Under the mentorship of Vijay Venkat Sir, I learned web development, and the experience was invaluable. The institute provides a conducive learning environment, and the trainers are highly knowledgeable and supportive. I highly recommend SLA Institute to anyone looking to embark on a rewarding journey in the tech industry.

Silambarasan B
Web development

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