Why Data Science and AI?
Naresh IT Training Methodology
The NareshIT Advantages
Advantages of FSDS Program by NareshIT
New Upcoming Batches information
| Course | Date | Time (IST) | ZOOM ID |
|---|---|---|---|
| Full Stack JAVA | 1st December | 6:00 PM | Register Now |
| Full Stack PYTHON | 27th November | 7:15 AM | Register Now |
| Full Stack DATA SCIENCE & AI | 27th November | 5:30 PM | Register Now |
| SELENIUM | 27th November | 7:15 AM | Register Now |
| DEVOPS | 27th November | 4:30 PM | Register Now |
| DEVOPS | 27th November | 9:00 AM | Register Now |
| AWS | 27th November | 8:30 AM | Register Now |
Full Stack Data Science and AI Program Syllabus
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
- 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
- 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 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 (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
- Chat Bot Architecture
- Under standing Chat Bots Architecture
- Chat Bot Development
- Developing chat Bot Using Python
- Developing chat Bot using Cloud
Ploty & Dash
- Getting Started with Plotly
- Introduction to Dash
- Corpus
- Regular expressions for overpattern
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
- Workplace for Azure ML Resources
- Classification
- Azure ML Hyper parameter Tuning
- Regression analysis
- Working on regression analysis?
- Clustering
- Recommender System
- Why the recommended method?
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 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
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