DATA SCIENCE COURSE IN JAIPUR
FREE DEMO CLASSES
Introduction to Data Science
- What is Data Science?
- Data Science vs. other fields (e.g. Statistics, Computer Science)
- Applications of Data Science
- Tools and technologies used in Data Science
Data Collection and Cleaning
- Data sources and types
- Data collection techniques (e.g. scraping, APIs)
- Data cleaning and preprocessing
- Data quality assessment and validation
Exploratory Data Analysis
- Data visualization
- Exploratory data analysis techniques (e.g. clustering, dimensionality reduction)
- Descriptive statistics
Statistical Inference
- Probability theory and distributions
- Hypothesis testing
- Confidence intervals
- Regression analysis
Machine Learning
- Supervised learning
- Unsupervised learning
- Deep learning
Data Management and Storage
- Data management system
Data Visualization and Communication
- Effective data visualization techniques
- Communicating insights and results to stakeholders
- Presenting data and analysis in a clear and concise manner.
- PowerBI, Tableau and Hadoop
Project
- Apply Data Science techniques to a real- world problem.
- Develop a project from data collection and cleaning to analysis and visualization
- Present the results to stakeholders in a clear and concise manner
Placements of Thirdeye
