Hi Telkomers!
We bet you're intrigued by what TelkomAthon Data Scientist participants learned huh?
Okay, here are our sneak peak for Data Scientist courses!
1. What is Data Science?
In this course, we will meet some data science practitioners and we will get an overview of what data science is today.
2. Tools for Data Science
You'll learn about Jupyter Notebooks, RStudio IDE, Apache Zeppelin and Data Science Experience. You will learn about what each tool is used for, what programming languages they can execute, their features and limitations. With the tools hosted in the cloud on Cognitive Class Labs, you will be able to test each tool and follow instructions to run simple code in Python, R or Scala.
3. Data Science Methodology
You will learn: The major steps involved in tackling a data science problem. The major steps involved in practicing data science, from forming a concrete business or research problem, to collecting and analyzing data, to building a model, and understanding the feedback after model deployment. How data scientists think!
4. Python for Data Science and Ai
You will learn Python fundamentals, including data structures and data analysis, complete hands-on exercises throughout the course modules, and create a final project to demonstrate your new skills.
5. Databases and SQL for Data Science
The purpose of this course is to introduce relational database concepts and help you learn and apply foundational knowledge of the SQL language.
6. Data Analysis with Python
This course will take you from the basics of Python to exploring many different types of data. You will learn how to prepare data for analysis, perform simple statistical analysis, create meaningful data visualizations, predict future trends from data, and more!
7. Data Visualization with Python
To teach you how to take data that at first glance has little meaning and present that data in a form that makes sense to people.
8. Machine Learning with Python
We will be reviewing two main components: First, you will be learning about the purpose of Machine Learning and where it applies to the real world. Second, you will get a general overview of Machine Learning topics such as supervised vs unsupervised learning, model evaluation, and Machine Learning algorithms.
9. Applied Data Science Capstone
This capstone project course will give you a taste of what data scientists go through in real life when working with data. You will learn about location data and different location data providers such as Foursquare, how to make RESTful API calls to the Foursquare API to retrieve data about venues in different neighborhoods around the world. You will also learn how to be creative in situations where data are not readily available by scraping web data and parsing HTML code.