Data Science
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Category
Analytics
Course Details
Data science enables the use of theoretical, mathematical, computational and practical methods to study and evaluate data. The key objective is to extract the required or valuable information that may be used for multiple purposes, such as decision making, product development, trend analysis and forecasting.
In the Data science course include data extraction, data exploration, data mining, predictive modeling and machine learning. Moreover, data science concepts and processes are derived from data engineering, statistics, programming, social engineering, data warehousing and natural language processing (NLP).
The course is divided into following sessions:
1. Basic and Advance Statistics
2. Predictive Modelling
3. Data mining
4. Machine Learning
5. Time Series Forecasting
Pre-requisite
- Prior hands-on experience with data.
- Should have minimal understanding of data structure.
- Should have basic knowledge of sql and database.
Course Information
- Class Start: TBD
- Course Duration: 36 Sessions
- Student Capacity: Max 15 Students
- Mode: Classroom & Online
- Class Schedule: Weekdays & Weekends
- Class Time: TBD
- Course Teachers: TBD