Photo by the author
3 months of the up-to-date year are behind us. Well, time flies quickly. With this in mind, how many of you can say that you are on track to achieve your goals if they are first quarter goals, learning goals, etc.?
It is difficult. It’s difficult to stay on top of everything and achieve every goal.
If learning data analytics was one of your goals for 2024, KDNuggets is here to aid, making your journey to learning up-to-date skills and changing your career path sleek.
I’ve put together a list of FREE online data science courses that will aid you build a solid foundation of data science knowledge, skills, and best practices that will set you up for a great career in the world of data.
WITH: DataCamp
To combine: Understanding data science
If you’re up-to-date to the world of data science, the first thing you want to know is the basics. This free course requires no coding and will define what data science is.
You’ll dive deeper into what a data science workflow is and how data science is applied to real-world problems. Once you have a good understanding of the field, you will learn about the different roles in data science.
WITH: Harvard University
To combine: Introduction to programming in Python
Have you decided to choose Python as your programming language of choice? Great idea.
It’s been a popular programming language for some time, and now you can learn it with this self-paced course, which will take you about 10 weeks to complete. This course has been designed specifically for students who have no prior programming experience or knowledge and want to move into the world of data science by learning Python.
The following topics are covered: functions, variables, conditions, loops, exceptions, libraries, unit tests, file I/O, regular expressions, object-oriented programming and others.
WITH: DataCamp
To combine: Python data science toolkit
Since it has been the most popular programming language for several years, there is nothing wrong with improving the Python programming language.
Part 1 of the Python Data Science toolkit course will teach you how to effectively analyze and visualize data, requiring no experience or coding skills. With the 13 videos included in this course, you’ll go from data manipulation to plotting data with Matplotlib.
WITH: Harvard University
To combine: Data Science: R Basics
Maybe you didn’t choose Python, or maybe you decided to choose R as your programming language. No matter what you decide on, it’s always good to start with the basics. Harvard University offers a Data Science: R Basics course that helps you build a solid foundation in the R programming language – starting with learning how to manipulate, analyze, and visualize data.
The course is free; however, you can pay for a verified certificate for $149.
WITH: Stanford on the Internet
To combine: Statistical learning
I say it all the time and I will say it again – learning statistics in data science is very vital. This Statistical Learning course from edX will provide you with the main tools used in statistical modeling and data science.
Covers the following topics: overview of statistical learning, linear regression, classification, resampling methods, linear model selection and regularization, moving beyond linearity, tree-based methods, support vector machines, deep learning, survival modeling, unsupervised learning and repeated testing .
WITH: Google
To combine: Google data analytics
You’ve probably heard a lot about this course – it’s very popular. It consists of 8 sections in which you will learn about the everyday apply of data, best practices and processes you should expect in your up-to-date data science job.
You will learn how to immaculate and organize data for the analysis process and make calculations using spreadsheets, SQL and R programming. That’s not all, you will develop your analytical skills by creating data visualizations and learning tools such as Tableau.
WITH: Kursra
To combine: Machine learning specialization
The course was developed by Andrew Ng, founder and CEO of Landing AI, founder of deeplearning.ai, and co-chairman and co-founder of Coursera. He created a specialization in machine learning consisting of 3 courses:
- Supervised machine learning: regression and classification
- Advanced learning algorithms
- Unsupervised learning,recommendation, reinforcement learning
These courses are free; however, there is a fee if you wish to obtain certification.
These 7 courses will aid you develop skills in various aspects of data science to ensure you have the skills and knowledge you need to be great at your data science job.
For example, working towards proficiency in the Python programming language or the R programming language. Understand the importance of learning statistics in data science and its impact on the analytical process. Finally, put it all together and apply it to machine learning, such as regression and recommendation.
Have a nice studying!
Nisha Arya is a data scientist, freelance technical writer, and editor and community manager of KDnuggets. She is particularly interested in providing career advice or tutorials in data analytics and theory-based knowledge in data analytics. Nisha covers a wide range of topics and wants to explore the different ways in which artificial intelligence can impact the longevity of human life. Nisha is an avid learner and strives to expand her technical knowledge and writing skills while helping others.