Academy | Syllabus
Data Science with Python Programming
Python is a popular choice for most data scientists, owing to its ease of use and versatile nature. This Data Science with Python Programming training program by Multimatics is designed to show participants how Jupyter Notebooks can be used with Python for various data-science applications. The program focuses on creating reproducible data analyses using Python and Jupyter. It is hoped that after participating in this training, participants are ready to face the challenges of cases in the application of data science in real life.
Program Details
Durations
The program is a 5-day intensive training class.
Method of Delivery
The program provided by Multimatics will be delivered through interactive presentation by professional instructor(s), group debriefs, individual and team exercises, behavior modelling and roleplays, one-to-one and group discussion, case studies, and projects.
Who Should Attend?
This program is suitable for programmers, researchers, data analysts, database analysts, and business analysts.
Program Objectives
By the end of the program, participants will be able to:
- Understand how Jupyter Notebooks can be used with Python for various data-science applications
- Obtain data from structured or semi-structured data
- Create a reproducible data analysis using Python and Jupyter
- Explore data using Python programming
- Understand data modelling concepts
- Understand predictive analytics
- Understand key concepts and roles in data science
- Understand the stages of the data science process
Examination Details
There is no specific examination in this program, but participants fully attended this program will be given a Certificate of Completion from Multimatics.
Program Modules
Introduction Data Science
Topic Covered
- What and Why Data Science
- Main Role and Data Science Method
- History dan Data Science Implementation