Positive Quadrant Technologies LLP

Module 1: Data Science with R

Module 2: Data Science with Python

Module 3: Python

Module 4: R Programming

Rs.70000

Data Collection: Acquire raw data from various sources.
Cleaning: Clean and preprocess data to handle missing values and outliers.
Exploratory Data Analysis (EDA): Perform statistical analysis and visualization to understand data patterns.
Create new features from existing ones to enhance model performance.
Machine Learning Modeling: Fine-tune models for optimal performance using techniques like hyperparameter tuning.
Data Visualization: Create informative visualizations to communicate findings effectively.
Apply statistical methods to validate hypotheses and make data-driven decisions.
Big Data Technologies: Work with distributed computing platforms like Apache Spark for large-scale data processing.
Handle big data challenges efficiently using technologies like Hadoop.
Natural Language Processing (NLP): Apply NLP techniques for analyzing and extracting insights from textual data.
Enhance model performance and convergence through proper feature scaling.