This introductory post serves as a sneak peek into the top 7 free Kaggle micro-courses tailored for data science beginners. In the upcoming blog post, we’ll delve deeper, exploring each course’s key features, learning objectives, and potential benefits.
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Table of Contents
Here are Free Kaggle Micro-Courses for Data Science
1. Python
One of the most popular languages in data science is Python. Python is useful not only for data professionals but also for those who hope to pursue a career in software engineering in the future. The following knowledge can be acquired with the Kaggle Python course:
Basics of Python (variables and syntax)Uses
Conditionals and Booleans
List comprehensions, loops, and lists
Dictionary and string
Utilizing third-party libraries
You can look into the start to programming course if you think you need a more straightforward introduction to programming before learning Python.
If you are new to programming with Python, you should not miss the Python course because the succeeding courses on Pandas and data visualization require you to be acquainted with the material of this course.
Course Link Click Here
2. Pandas
After mastering the fundamentals of Python, you can study pandas, a potent toolkit for data analysis and manipulation.
The pandas will assist you in learning how to execute the following operations on pandas data frames through a sequence of brief courses and practical coding exercises:
Producing, perusing, and penning
Sorting, allocating, and indexing
Combining and renaming
Maps and summary functions
Sorting and grouping
Missing values and data types
Course Link Click Here
3. Data VisualizationÂ
It’s time to expand on your knowledge of data analysis with Python and pandas by learning how to visualise your data.
The principles of using the Python package Seaborn to create useful plots and charts are covered in the Data Visualisation course. The following topics are covered in the course:
Line diagrams
Heat maps and bar charts
Diskplots
Density plots and histograms
Selecting storylines
To put everything you’ve learned into practice, you must also work on a final project.
Course Link Click Here
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4. Intro to SQL
The most important data science skill you can acquire is SQL. Read “Why SQL is the Language to Learn for Data Science” by KDnuggets writer Nate Rosidi to learn why SQL is so crucial for data science.
The Intro to SQL course covers SQL foundations, filtering, and crafting legible SQL queries. It will also show you how to query data sets with SQL using the BigQuery Python client.
Beginning to use BigQuery and SQL
Choose, where, and from
Sort by, possess, and tally
As and with Joining data in order
Course Link Click Here
5. Advanced SQL
Once you have mastered the fundamentals of SQL, you can advance your knowledge of the language by enrolling in the Advanced SQL course. Building on the introduction to SQL course, this course covers the following topics on merging data from different tables and carrying out increasingly intricate operations:
Unions and Joins
analytical processes
Repeated and nested data
Composing effective queries
Course Link Click Here
6. Intro to Machine Learning
Having completed the aforementioned courses, you need to be at ease with Python and SQL data analysis and programming. You can now begin utilizing machine learning.
Course material for Intro to Machine Learning includes:
How machine learning models operate
simple data exploration
Validation of the model
Excessive and insufficient fitting
arbitrary woods
Additionally, you can enter a beginner-friendly Kaggle competition.
Course Link Click Here
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7. Intermediate Machine LearningÂ
Building on the concepts covered in the Intro to Machine Learning course, the Intermediate Machine Learning course teaches you how to deal with missing values and categorical variables, and how to steer clear of the challenging data leaking issue when training machine learning models.
Among the subjects discussed are:
Absence of values
Qualitative variables
ML workflows
Cross-checking
XGBoost: Data Breach
Course Link Click Here
FAQ
What are the benefits of taking these free Kaggle micro-courses?
Learn foundational data science skills at your own pace and convenience.
Gain practical experience through interactive exercises and real-world scenarios.
Boost your resume and showcase your interest in data science to potential employers.
Lay a solid foundation for further exploration in the vast world of data science.
