Smart Professional Course
Smart Professional-Foundation in Data Science OV-7113
200+
Instructional Hours
Why Choose This AI & ML Course?
Course Overview
Our comprehensive course curriculum covers everything from fundamentals to advanced techniques, preparing you for a successful career.
200
Instructional Hours
0
Comprehensive Modules
0
Lab Hours
0
Capstone Project
| Module | Duration (Hours) | Theory | Lab | Self-Study | Tools/Software |
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| Data Analysis with MS Excel | 16 | 8 | 8 | 6 | Office 365 |
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| Data Handling using T-SQL | 16 | 8 | 8 | 4 | Microsoft SQL Server 2019 |
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| Managing Large DataSets with MongoDB | 32 | 16 | 16 | - | MongoDB 6.x |
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| Inferential Statistical Analysis | 16 | 16 | - | 4 | |
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| Data Science using R Programming | 36 | 18 | 18 | 10 | R Studio 2.x or higher |
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| Application Based Programming in Python | 36 | 18 | 18 | 10 | Python 3.6.x |
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| Data Mining with WEKA | 24 | 12 | 12 | 8 | WEKA (Open- source AI and data mining tool) |
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| Capstone Project for Data Mining | 24 | 2 | 22 | - | WEKA |
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| Total Hours | 200 | 98 | 102 | 42 | |
What You Will Learn
- Work with spreadsheets and analyze data using MS Excel
- Learn fundamental concepts of Transact SQL(TSQL) commands
- Understand MongoDB concepts, features, architecture and data model, and learn to install, configure, and monitor open-source NoSQL databases
- Understand the basics of statistical analysis, descriptive statistics, predictive analytics, probability, and Bayes theorem
- Master data exploration, predictive s descriptive analytics techniques using R
- Develop applications using Python language
- Use WEKA to perform data mining tasks
- Develop a Capstone project using WEKA and implement data mining tasks
Your Future as an AI Developer
Exit Profile
Industry Recognition
Smart Professional-Foundation in Data Science
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