Course Overview
| Module | Duration (Instruction al Hours) | Theory | Lab | Self-Study | Tool/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 |
EXIT PROFILE
Data Analytics Professional
CERTIFICATE NAME
Smart Professional- Advanced Program in Data Science
LEARNING OUTCOMES
- 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