Full Stack Data Science and AI

Full Stack Data Science and AI Program

Why Data Science and AI?

Naresh IT Training Methodology

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The NareshIT Advantages

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Advantages of  FSDS Program by NareshIT

New Upcoming Batches information

CourseDateTime (IST)ZOOM ID
Full Stack JAVA27th September4:00 PMRegister Now
SELENIUM28th September7:30 AMRegister Now
AWS28th September7:30 PMRegister Now
PYTHON28th September9:00 AMRegister Now
Full Stack PYTHON28th September9:00 AMRegister Now
Full Stack DATA SCIENCE & AI28th September7:30 PMRegister Now

Enroll Now for Nasscom Approved Courses

Full Stack Data Science and AI Program Syllabus

Python Programming

Python Programming

  • Introduction to Programming Languages
  • Python Real-Time IDEs
  • Different modes of Python
  • First python Program
  • Python File Extensions
  • Python Data Types
  • Command Line Arguments
  • Python Operators
  • Control Statements
  • Strings
  • List Data Structure
  • Working with Python Arrays
  • Python Tuples
  • Set Collection
  • Dictionary Collection
  • Functions
  • Python Modules and Packages
  • OOPs – Classes & Objects
  • Exception Handling & Types of Errors
  • Regular Expressions
  • Files in Python
  • Date & Time Module
  • Python Data Base Communications(PDBC)
  • Data Analytics Modules
  • Python NumPy
  • Python Pandas

Machine Learning

Machine Learning

  • Introduction to Machine Learning
  • Exploratory Data Analysis(EDA)
  • Supervised Machine Learning (Regression)
  • Logistic Regression
  • Ordinal Regression
  • Naïve Bayes Classifier Algorithm
  • Support Vector Machine
  • Decision Tree
  • K-Nearest Neighbor
  • Random Forest
  • Bagging and Boosting
  • Dimensionality Reduction
  • Time Series Analysis
  • ARIMA, SARIMA and ARMA
  • Clustering
  • Hyper Parameter Optimization
  • Feature Engineering
  • Performance Evaluation
  • Flask

R Programming

R Programming

  • Introduction to R
  • R Programming Concepts
  • Data Manipulation in R
  • Data Import Techniques in R
  • Exploratory Data Analysis (EDA) using R
  • Data Visualization in R
  • Package Installation for Database

Deep Learning

Deep Learning

  • Deep Learning Introduction
  • Artificial Neural Network
  • Optimization Techniques
  • Recurrent Neural Network (RNN)
  • Convolution Neural Network (CNN)
  • Auto Encoders
  • Tensorflow
  • OpenCV (Image processing & video Processing)

Natural Language Processing

Natural Language Processing (NLP)

  • Basics of Natural Language Processing
  • Machine Learning Modeling- Navie Bayies
  • Word Net and Synsets
  • Transformation Models-BERT
  • LSTM model-RNN
  • Corpus
  • Regular expressions for overpattern

Chotbots

Chotbots

  • Chat Bot Architecture
  • Under standing Chat Bots Architecture
  • Chat Bot Development
  • Developing chat Bot Using Python
  • Developing chat Bot using Cloud

Ploty & Dash

Ploty & Dash

  • Getting Started with Plotly
  • Introduction to Dash
  • Corpus
  • Regular expressions for overpattern

Hadoop & Spark

 Hadoop & Spark

  • Introduction to Big Data and Hadoop
  • HIVE
  • Map Reduce Concepts
  • Apache Spark
  • Spark Core Architecture
  • Spark Internals and Spark SQL
  • Configure Running Platform
  • Understanding Spark
  • Resilient Distributed Datasets
  • Data Frames
  • Prepare Data for Modeling
  • Introducing the ML Package
  • Introducing Delta Lake

Azure Machine Learning

Azure Machine Learning

  • Workplace for Azure ML Resources
  • Classification
  • Azure ML Hyper parameter Tuning
  • Regression analysis
  • Working on regression analysis?
  • Clustering
  • Recommender System
  • Why the recommended method?

Tableau

Data Visualization using Tableau

  • What is Tableau?
  • Why Tableau?
  • History of Tableau
  • Characteristics of Tableau
  • Installation Step
  • Different version of Tableau
  • What is VizQL
  • Use of VizQL in Tableau
  • Tableau Architecture and its component

Statistics

Statistics

  • Statistics Introduction
  • Measure of Center
  • Normal Distribution
  • Standard Deviation
  • Python range()Function: Built-in
  • Inferential Statistics
  • P-value
  • ANOVA
  • Chi-Square Test
  • ARIMA
  • Correlation

Extensive Placement Assistance

Dedicated Placements Team

Our dedicated placements team provides continual support to the trainees successfully competing the necessary pre-requisites right from resume preparation to matching the right candidate to the right company

Resume Preparation

Dedicated sessions by experts on resume preparation and individual feedback & guidance for preparing the precise resume.

Individual Technical Mock Interviews by Real Time Experts

Explaining the concepts and their application effectively is as important as understanding and assimilating the concepts during the program.

Individual HR Mock Interviews by Real Time Experts

These individual HR Mock Interviews provide the aspirants with an opportunity to practice for an interview and receive feedback on their interviewing skills.

Resume Mapping, Job Application & Recruitment Process

Our successful placement assistance roots from our transparent and personalized approach towards every Job Opportunity and Job Applicant.

Placement & On-boarding

Our placements team facilitates a steady and standard communication between the company and the selected trainee filling any voids thereby ensuring a smooth on-boarding of the selected candidates

What do the Students say About us?

This Program which has turned my career into a good one by helping me to upskill my self in order to get best career opportunities.

  • – Pavan

I have taken the course Certified Full Stack Datascience in NareshIT. The course is well structured in such a way that within a short span of time I have learned many things.

– Niharika

NareshIT is one of the great institute where we can learn FSD and the faculties are also very good, they clarify every doubt with clarification this is the best institute to learn and improve our skills.

–  Balakrishna