Data Science Full Stack
Data Science Full Stack
Welcome to DataTeach.ai’s Full Stack Data Science Course — a comprehensive, hands-on program designed to transform beginners into job-ready Data Scientists.
This course covers the entire data science lifecycle, from data collection and cleaning to advanced machine learning and deployment. Whether you're a fresh graduate, a working professional, or a career switcher, this program equips you with everything you need to succeed in the real world.
Course Features
Anyone
Can learn (IT/Non IT)
4.8+
Course Rating
1000+
Learners
Lifetime
Course Access
1 time
Payment
160Hrs+
Content Duration
Simple English
Language
Live Training
Offline/Online
Course Curriculam
- Introduction
- Data Types & Data Structures
- Control Flow & Conditional Statements
- Functions and Modules
- Class and Objects
- File Handling
- Numpy - Numerical Python
- Data Manipulation with Pandas
- Data Visualization Using Matplotlib And Seaborn
- Exploratory Data Analysis (EDA)
- UNSTRUCTURED DATA PROCESSING
- Project (web - scraping)
- Vectors
- Matrices
- Linear Equation
- Vector Norms
- Calculus
- Central Tendency
- Sample V/S Population
- Probability
- Types of Distribution
- Central Limit Theorm
- Hypothesis Testing
- Types of Test
- Anova Test
- Skewness & Kurtosis
- Introduction to Basic Database Concepts
- Introduction to SQL
- Writing Basic SQL Statement
- Restricting and Sorting Data
- Advance DDL Commands
- Working on DML statements
- Use of built-in function in SQL
- Working on multiple tables and Retrieve records from multiple tables
- Working on subqueries
- Python with MYSQL
- Intro to Power BI
- Basic Charts in Power BI
- Maps in Power BI
- Tabular Data in Power BI
- Cards in Power BI
- Filters in Power BI
- Slicers in Power BI
- Advance Chart in Power BI
- Inserting Object in Power BI
- BookMark Action in Power BI
- Creating Report in Power BI
- Publishing Report in Power BI
- Service Dashboard in Power BI
- Refreshing Data in Power BI and Scheduling
- Using Text Functions, Date Functions, Number Functions in Power Query
- Appending and Merging Sheet
- Columns from example in power query, Conditional ColumnsN
- Data Modelling in Power BI
- Connecting to MySql
- Introduction to Machine learning
- Types of machine learning
- Classification Algorithms
- Regression Algorithms
- Clustering Algorithms
- Model Building
- Model Evaluation
- Model Deployment
- Introduction to Deep Learning
- Neural Network Architecture and Activation Functions
- Forward and Backward Propagation
- Optimizers
- Keras Hands-on - Regression and Classification
- Intro to Images and Image Preprocessing with OpenCV
- Image Preprocessing with OpenCV
- Intro to Convolutional Neural Network
- Image Classification Case Study
- CNN Architecture
- Transfer Learning
- Case Study with Transfer Learning
- Object Detection
- YOLO - Case Study
- Introduction to text and Text Preprocessing with nltk and spacy
- Vectorization Techniques
- Project - Text Classification
- RNNs
- Project - Sequence Tagging
- LSTMs
- Auto Encoders
- Project - Auto Encoders
- Transformer and Attention
- BERT
- Intro To Gen AI
- Intro To LLM
- Prompt Engineering and Working with LLM
- Open AI
Sample Certificate
