Course Overview
An intensive end-to-end Data Science track curated by PWSkills. Learn Python data analytics, statistical hypothesis testing, machine learning algorithms, deep learning neural networks, SQL query optimization, and PowerBI business intelligence dashboards.
What You'll Learn
- Wrangle, clean, and visualize large datasets using Python Pandas and NumPy
- Build and evaluate supervised and unsupervised machine learning models
- Understand deep learning neural networks with PyTorch / TensorFlow
- Create interactive business intelligence dashboards in PowerBI
Key Skills Covered
Structured Learning Roadmap
Step-by-step milestone progression for PWSkills - Data Science Masters Course
Establish prerequisite knowledge in Data Science, setup local development environments, and master fundamental syntax and concepts.
Python basics, Pandas, NumPy, Matplotlib, and Seaborn visual analytics. Probability, hypothesis testing, Linear Regression, Decision Trees, Random Forest.
Perceptrons, CNNs, RNNs, Sentiment Analysis, and Natural Language Processing. Complex SQL queries, PowerBI dashboard building, model deployment.
Synthesize all course modules into a production-grade portfolio project, undergo self-assessment quizzes, and earn your official Money Mitra Network certificate.
Course Curriculum
Module 1: Python Programming & Exploratory Data Analysis
Module 2: Statistics & Supervised Machine Learning
Module 3: Deep Learning, Neural Networks & NLP
Module 4: SQL, PowerBI & Capstone Deployment
Instructor Profile
Dr. Meera Nair
Ph.D. in Computer Science with 14+ years designing scalable machine learning algorithms, database engines, and analytics pipelines.
Prerequisites & Audience
Basic high school mathematics and fundamental computer literacy.
Aspiring Data Scientists, Data Analysts, AI engineers, and software professionals.