Course Overview
Dive deep into the world of data science with our comprehensive masterclass. This advanced course covers Python programming for data analysis, machine learning algorithms, statistical analysis, and data visualization techniques. Perfect for professionals looking to transition into data science or enhance their analytical skills.
What You'll Learn
Python for Data Science
Master Python libraries including Pandas, NumPy, and Matplotlib
Machine Learning
Supervised and unsupervised learning with Scikit-learn and TensorFlow
Statistical Analysis
Descriptive and inferential statistics, hypothesis testing
Data Visualization
Create compelling visualizations with Matplotlib, Seaborn, and Plotly
Big Data Tools
Introduction to Spark, Hadoop, and cloud-based analytics
Real Projects
Build end-to-end data science projects and portfolios
Course Curriculum
- Python Refresher for Data Science
- NumPy for Numerical Computing
- Pandas for Data Manipulation
- Data Cleaning and Preprocessing
- Exploratory Data Analysis (EDA)
- Descriptive Statistics
- Probability and Distributions
- Hypothesis Testing
- Matplotlib and Seaborn
- Interactive Visualizations with Plotly
- Supervised Learning Algorithms
- Unsupervised Learning and Clustering
- Model Evaluation and Selection
- Feature Engineering
- Introduction to Deep Learning
- Time Series Analysis
- Natural Language Processing
- Big Data with Spark
- Cloud Deployment (AWS/Azure)
- Capstone Project
