Data Science Pro 2025

Course Introduction

Course Overview and Dashboard Description
Support System Introduction
Community Introduction

Python Basics

Introduction to Python and Comparison with Other Programming Languages
Python Objects: Numbers, Booleans, and Strings
Container Objects and the Mutability of Objects
Operators in Python: Arithmetic, Bitwise, Comparison, and Assignment Operators
Operator Precedence and Associativity
Conditional Statements (If, Else, Elif)
Loops in Python: While and For
Break and Continue Statements
Range Function

String Handling in Python

Basic Data Structures: Lists, Tuples, Sets, and Dictionaries
String Object Basics
String Inbuilt Methods
Splitting and Joining Strings
String Formatting Functions

Working with Lists in Python

List Object Basics
List Methods and Operations
Using Lists as Stacks and Queues
List Comprehensions

Tuples, Sets, and Dictionaries in Python

Tuples, Sets, and Dictionary Object Methods
Dictionary Comprehensions
Dictionary View Objects

Functions in Python

Functions Basics and Parameter Passing
Iterators in Python
Generator Functions
Lambda Functions
Map, Reduce, and Filter Functions

Object-Oriented Programming (OOPs) in Python

Introduction to OOPs Concepts
Creating Classes in Python
Pillars of OOPs: Inheritance, Polymorphism, Encapsulation, and Abstraction
Decorators in Python
Class and Static Methods
Special (Magic/Dunder) Methods
Property Decorators: Getters, Setters, and Delete Methods

File Handling in Python

File Handling Basics
Reading and Writing Files
Buffered Reading and Writing
Other File Methods
Logging and Debugging in Python
Modules and Import Statements

Exception Handling in Python

Exception Handling with Try-Except
Custom Exception Classes
General Exception Types
Best Practices for Exception Handling

Memory Management and Concurrency in Python

Introduction to Multithreading
Introduction to Multiprocessing

Databases with Python

Working with MySQL Databases
Introduction to MongoDB

Web APIs with Python

Introduction to Web APIs
Difference Between API and Web API
REST and SOAP Architecture
RESTful Services Overview

Flask Framework in Python

Introduction to Flask Framework
Creating Flask Applications
Flask Routing and URL Building
HTTP Methods in Flask
Working with Flask Templates
Flask Project: Food App
Using Postman for API Testing

Data Analysis with Pandas

Introduction to Pandas Series
Pandas DataFrames
Pandas Panels
Pandas Basic Functionalities
Reading Data from Various Sources
Reindexing in Pandas
Iteration in Pandas
Sorting in Pandas
Text Data Handling in Pandas
Customization Options in Pandas
Indexing and Selection in Pandas
Statistical Functions in Pandas
Window Functions in Pandas
Date Functionality in Pandas
Categorical Data Handling in Pandas
Data Visualization in Pandas
Pandas Tools Overview

Numerical Data Handling with Numpy

Introduction to NumPy and Ndarray Objects
Data Types in NumPy
Array Attributes in NumPy
Array Creation Techniques
Numerical Ranges in NumPy
Indexing and Slicing Arrays
Advanced Indexing in NumPy
Broadcasting in NumPy
Iterating Over Arrays
Array Manipulation Techniques
Binary Operators in NumPy
String Functions in NumPy
Mathematical Functions in NumPy
Arithmetic Operations in NumPy
Statistical Functions in NumPy
Sorting, Searching, and Counting in NumPy
Byte Swapping in NumPy
Views and Copies in NumPy
Matrix Library in NumPy
Linear Algebra in NumPy

Data Visualization Techniques

Data Visualization with Matplotlib
Advanced Visualization with Seaborn
Interactive Visualization with Plotly
Web Visualizations with Bokeh

Statistics for Data Science

Basic Statistics Terms
Types of Statistics and Data
Measures of Central Tendency and Dispersion
Random Variables
Covariance and Correlation

Advanced Statistics for Data Science

Probability Distributions
Binomial and Normal Distributions
Bernoulli and Uniform Distributions
Central Limit Theorem
Hypothesis Testing and P-Values
Z-Stats and T-Stats
Type I and Type II Errors
Bayesian Statistics
Confidence Intervals
Chi-Square Test and ANOVA
F-Tests and F-Distribution

Introduction To Machine Learning

Introduction to Machine Learning
Ai Vs Ml Vs Dl Vs Ds
Supervised, Unsupervised, Semi-Supervised, Reinforcement Learning
Train, Test, Validation Split
Performance
Overfitting, Under Fitting
Bias Vs Variance

Feature Engineering

Handling Outliers
Filter Method
Wrapper Method
Embedded Methods
Feature Scaling
Pca (Principle Component Analysis)
Data Encoding
Nominal Encoding
One Hot Encoding
One Hot Encoding With Multiple Categories
Mean Encoding
Ordinal Encoding
Label Encoding
Target Guided Ordinal Encoding
Covariance
Correlation Check
Correlation Check Pearson Correlation Coefficient
Spearman’s Rank Correlation
Vif
Feature Selection
Recursive Feature Elimination
Backward Elimination
Forward Elimination

Exploratory Data Analysis

Feature Engineering And Selection
Analyzing Bike Sharing Trends
Analyzing Movie Reviews Sentiment
Customer Segmentation And Effective Cross Selling
Analyzing Wine Types And Quality
Analyzing Music Trends And Recommendations
Forecasting Stock And Commodity Prices

Regression

Linear Regression
Gradient Descent
Multiple Linear Regression
Polynomial Regression
Rmse, Mse, Mae Comparison
R Square And Adjusted R Square
Ridge Regression
Lasso Regression
Elastic Net

Logistics Regression

Logistics Regression In-Depth Intuition
In-Depth Mathematical Intuition
In-Depth Geometrical Intuition
Hyper Parameter Tuning
Grid Search Cv
Data Leakage
Confusion Matrix
Precision, Recall, F1 Score, Roc, Auc
Best Metric Selection
Multiclass Classification In Lr
Complete End-To-End Project With Deployment In Multi-Cloud Platform

Decision Tree

Decision Tree Classifier
In-Depth Mathematical Intuition
In-Depth Geometrical Intuition
Confusion Matrix
Precision, Recall, F1 Score, Roc, Auc
Best Metric Selection
Decision Tree Repressor
In-Depth Mathematical Intuition
In-Depth Geometrical Intuition
Performance Metrics
Complete End-To-End Project With Deployment In Multi-Cloud Platform

Support Vector Machines

Linear Svm Classification
In-Depth Mathematical Intuition
In-Depth Geometrical Intuition
Soft Margin Classification
Nonlinear Svm Classification
Polynomial Kernel
Gaussian, Rbf Kernel
Data Leakage
Confusion Matrix
Precision, Recall, F1 Score, Roc, Auc
Best Metric Selection
Svm Regression
In-Depth Mathematical Intuition
In-Depth Geometrical Intuition
Complete End-To-End Project With Deployment

Naïve Bayes

Bayes Theorem
Multinomial Naïve Bayes
Gaussian Naïve Bayes
Various Types of Bayes Theorem And Its Intuition
Confusion Matrix
Precision, Recall, F1 Score, Roc, Auc
Best Metric Selection
Complete End-To-End Project With Deployment

Ensemble Techniques And Its Types

Definition Of Ensemble Techniques
Bagging Technique
Bootstrap Aggregation
Random Forest (Bagging Technique)
Random Forest Repressor
Random Forest Classifier
Complete End-To-End Project With Deployment

Boosting

Boosting
Boosting Technique
Ada Boost
Gradient Boost
Xgboost
Complete End-To-End Project With Deployment

Dimensionality Reduction

Knn Classifier
Variants Of Knn
Brute Force Knn
K-Dimension Tree
Ball Tree
Complete End-To-End Project With Deployment
The Curse Of Dimensionality
Dimensionality Reduction Technique
Pca (Principle Component Analysis)
Eigen-Decomposition Approach
Practical

Clustering

Clustering And Their Types
K-Means Clustering
K-Means++
Batch K-Means
Hierarchical Clustering
Dbscan
Evaluation Of Clustering
Homogeneity, Completeness, And V-Measure

Anomaly Detection

Anomaly Detection Types
Anomaly Detection Applications
Isolation Forest Anomaly Detection Algorithm
Density-Based Anomaly Detection (Local Outlier Factor) Algorithm
Support Vector Machine Anomaly Detection Algorithm
Dbscan Algorithm For Anomaly Detection
Complete End-To-End Project With Deployment

Time Series

What Is A Time Series?
Old Techniques
Arima
Acf And Pacf
Time-Dependent Seasonal Components
Autoregressive (Ar)
Moving Average (Ma) And Mixed Arma-Modeler

Neural Network A Simple Perception

Neural Network Overview And Its Use Case
Detail Mathematical Explanation
Various Neural Network Architect Overview
Use Case Of Neural Network In NLP and Computer Vision
Activation Function -All Name
Multilayer Network
Loss Functions. - All 10
The Learning Mechanism
Optimizers. - All 10
Forward And Backward Propagation
Weight Initialization Technique
Vanishing Gradient Problem
Exploding Gradient Problem
Visualization Of Neural Network

Tensorflow

TensorFlow Installation 2.0
TensorFlow 2.0 Function
TensorFlow 2.0 Function
TensorFlow 2.0 Neural Network Creation
Tensor space
Tensorboard Integration
TensorFlow Playground
Netron

Pytorch

Pytorch Installation
Pytorch Functional Overview
Pytorch Neural Network Creation

Convolution Neural Networks

Cnn Explained In Detail - Cnnexplainer, Tensor space
Various Cnn Based Architecture
Training Cnn From Scratch
Building Webapps For Cnn
Deployment In Aws, Azure & Google Cloud

Image Classification Architectures

Lenet-5 Variants With Research Paper And Practical
Alexnet Variants With Research Paper And Practical
Googlenet Variants With Research Paper And Practical
Transfer Learning
Vggnet Variants With Research Paper And Practical
Resnet Variants With Research Paper And Practical
Inception Net Variants With Research Paper And Practical
FASTER RCNN
YOLO

Object Detection Architectures RCNN Family

Introduction To Yolov5
Installation Of Yolov5
Data Annotation & Preparation
Download Data & Configure Path
Download & Configure Pretrained Weight
Start Model Training
Evaluation Curves Yolov5
Inferencing Using Trained Model

Yolo V5 Custom Training

Introduction To Yolov6
Installation Of Yolov6
Data Annotation & Preparation
Download Data & Configure Path
Introduction To Yolov7
Installation Of Yolov7
Data Annotation & Preparation
Download Data & Configure Path
Start Model Training
Evaluation Curves Yolov7
Inferencing Using Trained Model

Detecron2 Custom Training

Introduction To Detecron2
Installation Of Detecron2
Data Annotation & Preparation
Download Data & Configure Path
Download & Configure Pretrained Weight
Start Model Training
Evaluation Curves Detecron2
Inferencing Using Trained Model

TFOD2 Custom Training

Introduction To TFOD2
Installation Of TFOD2
Data Annotation & Preparation
Download Data & Configure Path
Download & Configure Pretrained Weight
Start Model Training
Evaluation Curves TFOD2
Inferencing Using Trained Model

Image Segmentation

Scene Understanding
More To Detection
Need Accurate Results
Segmentation
Types Of Segmentation
Understanding Masks
Maskrcnn
From Bounding Box To Polygon Masks
Introduction To Detectron2
Our Custom Dataset
Doing Annotations Or Labeling Data
Registering Dataset For Training

Maskrcnn Practical With Detectron2

Introduction To Detectron2

Maskrcnn Practical With Detectron3

Our Custom Dataset

Maskrcnn Practical With Detectron4

Doing Annotations Or Labeling Data

Maskrcnn Practical With Detectron5

Registering Dataset For Training

Face Recognition

What Is Face Recognition?
Evolution Of Face Recognition
Face Recognition Pipeline
Data Preprocessing
Face Detection
Face Alignment
Face Identification
Exploring Face Net
Exploring Mtcnn
Exploring Arc face
Data Preprocessing
Face Alignment
Combining All Pipelines
Building A Desktop App With Tkinter

Object Tracking

What Is Object Tracking?
Localization
Motion
Flow Of Optics
Motion Vector
Tracking Features
Exploring Deep Sort
Bytetrack

Practical Object Tracking With Detection

Data Preprocessing
Using Yolo For Detection
Preparing Deep Sort With Yolo
Combining Pipelines For Tracking & Detection

GANs

Introduction To Gans
Gan Architecture
Discriminator
Generator
Wgans
Dcgans
Stylegans
Gan Practical's Implementation

NLP Introduction

Overview Computational Linguistics
History Of Nlp
Why Nlp
Use Of Nlp

Text Processing For NLP

Text Processing
Understanding Regex
Text Normalization
Word Count
Frequency Distribution
String Tokenization
Annotator Creation
Sentence Processing
Lemmatization In Text Processing
Word Embedding
Co-Occurrence Vectors
Word2Vec
Doc2Vec

Useful NLP Libraries

Nltk
Text Blob
Stanford Nlp

NLP Networks

Recurrent Neural Networks
Long Short Term Memory (Lstm)
Bi Lstm
Stacked Lstm
Gru Implementation

Attention Based Model

Seq 2 Seq
Encoders And Decoders
Attention Mechanism
Attention Neural Networks
Self-Attention

Transfer Learning In NLP

Introduction To Transformers
Bert Model
Gpt2 Model

Big Data Introduction

What Is Big Data?
Big Data Application
Big Data Pipeline

Hadoop

Hadoop Introduction
Hadoop Architecture
Hadoop Setup And Installation

Spark

Spark
Spark Overview
Spark Installation
Spark RDD
Spark Data Frame
Spark Architecture
Spark Ml Lib
Spark Nlp

Apache Kafka

Kafka Introduction
Kafka Installation
Spark Streaming
Spark With Kafka

Tableau

Talking About Business Intelligence
Tools And Methodologies Used In Bi
Why Visualization Is Getting More Popular
Why Tableau?
Gartner Magic Quadrant Of Market Leaders
Future Business Impact Of Bi
Tableau Products
Tableau Architecture
Bi Project Execution
Tableau Installation In Local System
Introduction To Tableau Prep
Tableau Prep Builder User Interface
Data Preparation Techniques Using Tableau Prep Builder Tool
How To Connect Tableau With Different Data Sources
Visual Segments
Visual Analytics In Depth
Filters, Parameters & Sets
Filters, Parameters & Sets
Filters, Parameters & Sets
Tableau Calculations Using Functions
Tableau Joins
Working With Multiple Data Source (Data Blending)
Building Predictive Models
Dynamic Dashboards And Stories
Sharing Your Reports
Tableau Server
User Security
Scheduling

PowerBI

Power Bi Introduction And Overview
Key Benefits Of Power Bi
Power Bi Architecture
Power Bi Process
Components Of Power Bi
Power Bi - Building Blocks
Power Bi Vs Other Bi Tools
Power Installation
Overview Of Power Bi Desktop
Data Sources In Power BI Desktop
Connecting To A Data Sources
Query Editor In Power Bi
Views In Power Bi
Field Pane
Visual Pane
Custom Visual Option
Filters
Introduction To Using Excel Data In Power BI
Exploring Live Connections To Data With Power Bi
Connecting Directly To Sql Azure, HD Spark, SQL Server Analysis Services/ My SQL
Import Power View And Power Pivot To Power Bi
Power Bi Publisher For Excel
Content Packs
Introducing Power Bi Mobile
Power Query Introduction
Query Editor Interface
Clean And Transform Your Data With Query Editor
Data Type
Column Transformations Vs Adding Columns
Text Transformations
Cleaning Irregularly Formatted Data -Transpose
Date And Time Calculations
Advance Editor: Use Case
Query Level Parameters
Combining Data – Merging And Appending
Data Modelling
Calculated Columns
Measures/New Quick Measures
Calculated Tables
Optimizing Data Models
Row Context Vs Set Context
Cross Filter Direction
Manage Data Relationship
Why Is Dax Important?
Advanced Calculations Using Calculate Functions
Dax Queries

Introduction to Generative AI

What is generative AI?
Why are generative models required?
Understanding generative models and their significance
Generative AI v/s Discriminative Models
Recent advancements and research in generative AI
Generative AI end-to-end project lifecycle
Key applications of generative models

Introduction to Large Language Models

In-depth intuition of Transformer-Attention all your need Paper
Guide to complete transformer tree
When to use which transformer architecture
Application and use cases of LLMs
Transfer learning in NLP
How to use pre-trained transformer-based models
How to perform finetuning of pre-trained transformer-based models
Mask language modeling
BERT- Google
GPT- OpenAI
T5- Google
Megatron- NVIDIA
Evaluations Matrixs of LLMs models
GPT-3 and 3.5 Turbo use cases
Learn how Chatgpt trained
Introduction to Chatgpt- 4

Guide to Open AI and its Ready to Use Models with Application

Introduction to OpenAI
Installation of OpenAI package
Experiment in the OpenAI playground
How to setup your local development environment
Different templates for prompting
OpenAI Models GPT-3.5 Turbo DALL-E 2, Whisper, Clip, Davinci and GPT-4 with practical implementation
OpenAI Embeddings and Moderation with Practical Implementation
Implementation of Chat completion API, Functional calling and Completion API
How to manage the Tokens
Different Tactics for getting an Optimize result
Image Generation with OpenAI LLM model
Speech to text with openAI
Use of Moderation for content complies with OpenAI
Understand rate limits, error codes in OpenAPI
OpenAI plugins connect ChatGPT to third-party applications.
How to do fine-tuning with custom data
Project: Finetuning of GPT-3 model for text classification
Project: Telegram bot using OpenAI API with GPT-3.5 turbo
Project: Generating YouTube Transcript with Whishper
Project: Image generation with DALL-E

Guide to Open AI and its Ready to use Models with Application

What is OpenAI API and how to generate OpenAI API key?

Vector database with Python for LLM Use Cases

Introduction to vector database
Vector database foundation
Vector database use cases
Text embedding
Vector similarity search
SQLite database
Storing and retrieving vector data in SQLite
Chromadb local vector database part1 setup and data insertion
Query vector data
Fetch data by vector id
Database operation: crate, update, retrieve, deletion, insert and update
Application in semantic search
Building AI chat agent with langchain and openai
Weviate Vector Database
Pinecone Vector Database

Hands-on with LangChain

Introduction to langchain
How Does LangChain Work
Installation and setup of langchain in local env
Hello world of LangChain application - Chaining a simple prompt
Components of langchain like Schema, Model I/O, Prompts, Indexes, Memory, Chains, Agents, Callbacks
Understanding prompts, language model and Output parser
Concept of async API, fake LLM human input, LLM Caching
Implementation of Chat models with human input chat model, chain, prompt and streaming
Implementation of output parser with json parser, XML parser, and list parser
Implement retrieval with document loader document transformer text embedding and vector store
Implement memory with chat messages, with the conversational knowledge base, and with vector store
Text summarization with langchain
Question Answern with langchain
Chatbot with langchain
Langchain streaming
Embeddings and Vector Data Stores in langchain
Understanding PromptTemplate + LLM + OutputParser
Langchain expression language
Bind runtime args
Configurable alternatives
Add fallback
Run arbitrary functions
Use RunnableParallel/RunnableMap
Route between multiple Runnables
Document Loaders
CSV, PDF, and JSON file analysis using Langchain
Prompt Templating and Prompt Management
Retrieval-augmented generation chain
multiple chains
Querying a SQL DB
How to add in moderation around your LLM application.
Hugging face Models with langchain
Falcon 7B fine-tune on custom dataset
Mistral 7B - Finetune and Inference for Custom Usecase
Langchain with Google PaLM2 Model
Langchain with Facebook Llama2 Model
Langchain webapp with Streamlit and flask
Project: MCQ Quiz Creator Application
Project: Youtube video summarizer and youtube script writing
Project: Custom Chatbot for any website
Project: Auto Recrutier

Practical Guide to LlamaIndex with LLMs

Introduction to LlamaIndex
Difference between langchain and LlamaIndex
Difference between Llama and LlamaIndex
Setup of LlamaIndex in our local env
How to use LLMs with LlamaIndex
Exploring Llamahub
How to connect with external Data
What is in Context Learning & Fine Tuning
Why indexing required in LLM apps
Persist indexes
How to index our data
Creating documents objects
Different Documents Loader
How to verify sources of the response
How to connect with different documents like csv, txt, pdf, etc
document management
Recursive file processing from directory sub directory
Building apps with LlamaIndex
Customization LLM Models in Application
Integration with endpoint flask and streamlit
Enable Streaming response
Chat engine: Condense mode
Chat engine: React mode
Customizing Prompt
How to use vector databases like ChromaDB and Weviate with LlamaIndex
Token Prediction & Cost Analysis
Integrations with OpenAI, Hugging Face
Project: Financial Stock Analysis using LlamaIndex
Project: Chat with Books and PDF Files with Llama 2

End to End Projects

Project
1: Medical Chatbot Project with Llama 2, Pinecone, LangChain & Deployment AWS
Project
2: Source Code Analysis with LangChain, OpenAI and ChromaDB & Deployment AWS
Project
3: Research Paper Summarizer with LangChain, OpenAI, Streamlit and Weviate & Deployment AWS

Resume Preparation For Jobs

Resume Templates For Freshers
Resume Templates For 2-4 Years Experience
Resume Templates For 5-8 Years Experience
Resume Templates For 10+ Years Experience

What you will learn

Corporate training outcomes

Requirements

Curriculum