Beginner to Advanced Data Science

MASTER DATA
SCIENCE & AI

Master Data Science through hands-on projects, real-world case studies, and practical learning. Build strong foundations in Python, SQL, Statistics, Data Visualization, Machine Learning, Deep Learning, Natural Language Processing, and Artificial Intelligence. Learn to analyze datasets, develop predictive models, and build end-to-end AI-powered applications.

4.7 average rating126 practice exercises87.6 hours of content

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Data Science, Machine Learning and Artificial Intelligence Course
Your Data Science & AI Learning Journey

What You'll Learn in This Data Science & AI Course

Develop practical skills in Python, Statistics, SQL, Data Analysis, Machine Learning, Deep Learning, and Artificial Intelligence. Learn how to explore datasets, build predictive models, solve real-world problems, and develop end-to-end Data Science applications.

Python Programming & Data Science Foundations

Build a strong programming foundation with Python, data structures, functions, and object-oriented programming. Learn NumPy and Pandas for data manipulation, numerical computing, and practical data analysis.

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Statistics, Probability, SQL & Data Analysis

Understand descriptive and inferential statistics, probability distributions, hypothesis testing, correlation, and regression. Use SQL to query datasets and perform exploratory data analysis with Matplotlib and Seaborn.

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Data Cleaning, Preprocessing & Feature Engineering

Learn to handle missing values, outliers, and categorical variables. Apply feature scaling, normalization, encoding, data transformation, and feature selection to prepare datasets for machine learning.

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Machine Learning & Predictive Modeling

Master supervised and unsupervised learning, including regression, classification, clustering, decision trees, random forests, SVM, XGBoost, and model evaluation using Scikit-learn.

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Deep Learning, NLP & Generative AI

Explore artificial neural networks, CNNs, RNNs, LSTMs, and Transformers. Work with TensorFlow, Keras, and PyTorch while learning Natural Language Processing and foundational Generative AI concepts.

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Real-World Projects, Deployment & Career Preparation

Build end-to-end Data Science projects, create prediction APIs with FastAPI, develop interactive applications with Streamlit, explore Docker and MLOps, and prepare a GitHub portfolio for technical interviews.

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Learn the Skills That Matter Most in Data Science & AI

Explore the programming languages, analytical techniques, machine learning algorithms, deep learning frameworks, and development tools used in modern Data Science workflows.

Python Programming
Python Data Structures
NumPy
Pandas
SQL for Data Science
Statistics
Probability
Hypothesis Testing
Linear Algebra Fundamentals
Data Cleaning
Data Preprocessing
Exploratory Data Analysis
Matplotlib
Seaborn
Data Visualization
Feature Engineering
Feature Selection
Machine Learning
Scikit-learn
Linear Regression
Logistic Regression
Decision Trees
Random Forest
Support Vector Machines
XGBoost
Clustering
Principal Component Analysis
Model Evaluation
Hyperparameter Tuning
Deep Learning
Neural Networks
TensorFlow
Keras
PyTorch
Computer Vision
Natural Language Processing
Transformers
Generative AI Fundamentals
Large Language Models
FastAPI
Streamlit
Docker Fundamentals
MLOps Fundamentals
Git & GitHub
Data Science Projects
Technical Interview Preparation
Complete Data Science & AI Learning Roadmap

Data Science & Artificial Intelligence Course Curriculum

Build practical skills in Python, SQL, Statistics, Machine Learning, Deep Learning, NLP, and AI-powered application development through a structured six-month learning roadmap.

6 Comprehensive Modules71 Curriculum Lessons6-Month Roadmap
Data Science & AI — Complete Course
  • Lecture 1: Introduction to Data Science & PythonFree
  • Python Variables, Data Types & Operators
  • Conditional Statements, Loops & Functions
  • Lists, Tuples, Dictionaries & Sets
  • File Handling, Modules & Packages
  • Object-Oriented Programming Fundamentals
  • NumPy Arrays & Numerical Computing
  • Pandas DataFrames & Data Manipulation
  • Working with CSV, Excel, JSON & APIs
  • Data Cleaning & Preprocessing
  • Mini Project: Python-Based Data Analysis

Data Science & AI Lecture Preview

Explore the introduction to Data Science, understand the learning roadmap, and discover how Python, Statistics, Machine Learning, and Artificial Intelligence work together in real-world applications.

Introduction to Data Science & AIDemo Video Coming Soon

What You Will Get

Complete Data Science & AI Curriculum
Beginner to Advanced Learning Roadmap
Python, NumPy & Pandas
SQL, Statistics & Probability
Exploratory Data Analysis & Visualization
Supervised & Unsupervised Machine Learning
Advanced Machine Learning & Model Optimization
Deep Learning with TensorFlow & PyTorch
Natural Language Processing & Generative AI
Model Deployment & MLOps Fundamentals
Real-World Data Science Projects
Portfolio & Interview Preparation

Complete Data Science & AI Course

Choose your preferred payment currency to enroll in the complete course.

Learn through structured lessons, practical exercises, and real-world Data Science projects.

Download the Full Data Science & AI Curriculum

Explore the complete Data Science learning roadmap, including Python, SQL, Statistics, Data Visualization, Machine Learning, Deep Learning, NLP, Generative AI, model deployment, and real-world projects.

Download Data Science Course Brochure (PDF)

Data Science & AI — Beginner to Advanced