Course Objective
Module Objective: Data science is the future of Artificial Intelligence. It provides complex and advanced analytical tools and algorithms for processing, analyzing and drawing meaningful insights out of data. Data science is a blend of various tools, algorithms and machine learning principles with the goal to discover hidden patterns from the raw data.
Courses of Data Science Technology
Statistics & Machine Learning
- Data Science Concepts
- The Field of Data Science
- Connecting the Data Science Disciplines
- The benefits of each discipline
- The popular data science tools
- Statistic Principles
- Descriptive Statistics
- Inferential Statistics, Confidence Intervals
- Hypothesis Testing
- Classification
- Clustering, Associations
- Mathematics Principles for Data Science and its use
Python, R Programming and Business Intelligence
- Programming Tools: Python and R Programming
- Data Science with Python & R Programming
- Python Libraries-Ipython/Jupyter, Numpy, Scipy, Seaborn, Matplotlib, Pandas, Scikit
- R Packages
- Functions in R
- Data Visualization in R
Business Intelligence and Data Mining
- Decision Making, Classification, Clustering
- Business Intelligence Applications
- Knowledge Management
- Data Mining
Mini Project & Case Studies
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