About Course

Become a professional Data Scientist by mastering Data Science, Machine Learning, Artificial Intelligence, Python, SQL, Big Data, Statistical Analysis, Predictive Analytics, and Data Visualization to solve complex business problems using data-driven insights. This industry-focused programme provides practical training in data collection, data engineering, machine learning, deep learning, predictive modeling, business intelligence, and AI-powered analytics, enabling learners to build intelligent solutions for healthcare, finance, e-commerce, cybersecurity, telecommunications, and enterprise organizations. Through real-world projects and portfolio development, learners gain the technical expertise required to extract meaningful insights from large datasets and support strategic business decision-making.

Understand the data science lifecycle and business applications
Program in Python using Pandas, NumPy, and Jupyter Notebook
Collect, wrangle, and engineer data
Query and manage data with SQL and data warehousing
Apply statistics, visualization, and EDA
Build supervised and unsupervised machine learning models
Apply deep learning with TensorFlow and PyTorch
Work with big data and cloud analytics platforms
Build an end-to-end data science capstone project

Course Content

Module 1: Introduction to Data Science
• Fundamentals of Data Science • Data Science Lifecycle • Business Applications • AI & Data Science

Module 2: Python Programming for Data Science
• Python Fundamentals • Pandas • NumPy • Jupyter Notebook

Module 3: Data Collection & Data Engineering
• Data Acquisition • Data Wrangling • Data Cleaning • Feature Engineering

Module 4: SQL & Database Management
• Relational Databases • SQL Queries • Data Extraction • Data Warehousing

Module 5: Statistical Analysis & Data Visualization
• Statistics • Data Visualization • Exploratory Data Analysis (EDA) • Storytelling with Data

Module 6: Machine Learning
• Supervised Learning • Unsupervised Learning • Model Evaluation • Model Optimization

Module 7: Deep Learning & Artificial Intelligence
• Neural Networks • TensorFlow • PyTorch • AI Applications

Module 8: Big Data & Cloud Analytics
• Big Data Fundamentals • Cloud Data Platforms • Data Pipelines • Data Governance

Module 9: Capstone Project
Build an end-to-end data science solution that collects, analyzes, models, and visualizes business data to generate predictive insights and support strategic decision-making.

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Learn Data Science from Scratch

About Course

What Will You Learn?

Course Content

Module 1: Introduction to Data Science
• Fundamentals of Data Science • Data Science Lifecycle • Business Applications • AI & Data Science

Module 2: Python Programming for Data Science
• Python Fundamentals • Pandas • NumPy • Jupyter Notebook

Module 3: Data Collection & Data Engineering
• Data Acquisition • Data Wrangling • Data Cleaning • Feature Engineering

Module 4: SQL & Database Management
• Relational Databases • SQL Queries • Data Extraction • Data Warehousing

Module 5: Statistical Analysis & Data Visualization
• Statistics • Data Visualization • Exploratory Data Analysis (EDA) • Storytelling with Data

Module 6: Machine Learning
• Supervised Learning • Unsupervised Learning • Model Evaluation • Model Optimization

Module 7: Deep Learning & Artificial Intelligence
• Neural Networks • TensorFlow • PyTorch • AI Applications

Module 8: Big Data & Cloud Analytics
• Big Data Fundamentals • Cloud Data Platforms • Data Pipelines • Data Governance

Module 9: Capstone Project
Build an end-to-end data science solution that collects, analyzes, models, and visualizes business data to generate predictive insights and support strategic decision-making.

About Course

What Will You Learn?

Course Content

Module 1: Introduction to Data Science • Fundamentals of Data Science • Data Science Lifecycle • Business Applications • AI & Data Science

Module 2: Python Programming for Data Science • Python Fundamentals • Pandas • NumPy • Jupyter Notebook

Module 3: Data Collection & Data Engineering • Data Acquisition • Data Wrangling • Data Cleaning • Feature Engineering

Module 4: SQL & Database Management • Relational Databases • SQL Queries • Data Extraction • Data Warehousing

Module 5: Statistical Analysis & Data Visualization • Statistics • Data Visualization • Exploratory Data Analysis (EDA) • Storytelling with Data

Module 6: Machine Learning • Supervised Learning • Unsupervised Learning • Model Evaluation • Model Optimization

Module 7: Deep Learning & Artificial Intelligence • Neural Networks • TensorFlow • PyTorch • AI Applications

Module 8: Big Data & Cloud Analytics • Big Data Fundamentals • Cloud Data Platforms • Data Pipelines • Data Governance

Module 9: Capstone Project Build an end-to-end data science solution that collects, analyzes, models, and visualizes business data to generate predictive insights and support strategic decision-making.

Student Ratings & Reviews

Module 1: Introduction to Data Science
• Fundamentals of Data Science • Data Science Lifecycle • Business Applications • AI & Data Science

Module 2: Python Programming for Data Science
• Python Fundamentals • Pandas • NumPy • Jupyter Notebook

Module 3: Data Collection & Data Engineering
• Data Acquisition • Data Wrangling • Data Cleaning • Feature Engineering

Module 4: SQL & Database Management
• Relational Databases • SQL Queries • Data Extraction • Data Warehousing

Module 5: Statistical Analysis & Data Visualization
• Statistics • Data Visualization • Exploratory Data Analysis (EDA) • Storytelling with Data

Module 6: Machine Learning
• Supervised Learning • Unsupervised Learning • Model Evaluation • Model Optimization

Module 7: Deep Learning & Artificial Intelligence
• Neural Networks • TensorFlow • PyTorch • AI Applications

Module 8: Big Data & Cloud Analytics
• Big Data Fundamentals • Cloud Data Platforms • Data Pipelines • Data Governance

Module 9: Capstone Project
Build an end-to-end data science solution that collects, analyzes, models, and visualizes business data to generate predictive insights and support strategic decision-making.