184+
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.
184
Instructional Hours
0
Comprehensive Modules
0
Lab Hours
0
Capstone Project
| Module | Duration (Hours) | Theory | Lab | Self-Study | Tools/Software |
|---|---|---|---|---|---|
| Data Science with Python | 36 | 18 | 18 | - | Python, Jupyter Notebook, Google Collab |
| Foundation of Big Data Systems with Hadoop | 40 | 20 | 20 | - | Hadoop, Spark |
| Advanced Data Science with Python | 36 | 18 | 18 | - | Python, Jupyter Notebook, Google Collab |
| Visual Analytics with Tableau | 40 | 20 | 20 | - | Tableau Desktop |
| Capstone Project for Data Science | 32 | 2 | 30 | - | Python, Jupyter Notebook, Google Collab |
| Total Hours | 184 | 78 | 106 |
What You Will Learn
- Gain an introduction to Anaconda, Jupyter Notebook, and Google Collab for coding and data visualization
- Learn how the components of the Hadoop ecosystem, such as Hadoop, Yarn, MapReduce, HDFS, and Apache Spark fit in with the Big Data processing lifecycle
- Implement advanced data science techniques with Python libraries
- Learn how to build visualizations, organize data, and design dashboards to empower more meaningful business decisions using Tableau Desktop data visualization and reporting tool
- Develop a real-world project using advanced Data Science with Python
Your Future as an AI Developer
Exit Profile
Industry Recognition
Smart Professional- Advanced Program in Data Science
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