Kaggle Mini Courses

6 hours ago

Published: Feb 20, 2021

1. Python. This is the first mini-course in the series of courses provided for Data Science. And that’s because you need to learn Python before venturing into deeper waters!
2. Introduction to Machine Learning. Machine Learning is an important part of Data Science as ML algorithms are trained using data and then used with data based on their requirement.
3. Intermediate Machine Learning. After the introduction, Kaggle then has the Intermediate Machine Learning micro-course that delves deeper into Machine Learning.
4. Data Visualization. The next course focuses on Data Visualization, which is an immensely important part of Data Science. It is very difficult to convey data insights and patterns to people when that data is stored in rows and rows of tables.
5. Pandas. Pandas is a very popular Python software library for data analysis and data handling. So it stands to reason that this is the next mini-course you are going to learn.
6. Intro to Deep Learning. Kaggle Courses also focus on Deep Learning at a basic level so that you can move on to advanced topics on your own later. This course starts with an introduction of deep learning in computer vision and then moves on to building models from convolutions, TensorFlow, and Keras programming, building highly accurate models using transfer learning, as well as making more data available for model training using data augmentation.
7. Introduction to SQL. Now we move into the realm of databases and with it, comes SQL! As you know, SQL is a very popular database management language, so it’s obvious that a Kaggle micro-course covers this as well.
8. Advanced SQL. After the introduction to SQL, Kaggle then moves on to the advanced SQL micro-course that teaches this topic in further detail. This includes more information about the various Joins and Unions as well as explaining analytic functions, nested data, and repeated data.
9. Geospatial Analysis. Geospatial Analysis focuses on Geospatial data and how to handle it correctly. This mini-course starts with learning how to plot in GeoPandas, an open-source project that makes working with geospatial data in Python much easier.
10. Natural Language Processing. This is a short course that teaches the basics of Natural Language Processing. NLP is a part of Artificial Intelligence that focuses on teaching language like speech and text to machines.

Website: www.geeksforgeeks.org/top-kaggle-courses-for-data-science/