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 |
|---|---|---|---|---|---|
| Data Analysis with MS Excel | 16 | 8 | 8 | 6 | Office 365 |
| Data Handling using T-SQL | 16 | 8 | 8 | 4 | Microsoft SQL Server 2019 |
| Managing Large DataSets with MongoDB | 32 | 16 | 16 | - | MongoDB 6.x |
| Inferential Statistical Analysis | 16 | 16 | - | 4 | |
| Data Science using R Programming | 36 | 18 | 18 | 10 | R Studio 2.x or higher |
| Application Based Programming in Python | 36 | 18 | 18 | 10 | Python 3.6.x |
| Data Mining with WEKA | 24 | 12 | 12 | 8 | WEKA (Open- source AI and data mining tool) |
| Capstone Project for Data Mining | 24 | 2 | 22 | - | WEKA |
| 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
Ready to Launch Your Career?
Join hundreds of students who have transformed their careers with this course.
Limited seats available. Batch starting soon!
Customer Support
Here to support you anytime