Dive into Data Analytics with these FREE Courses!

I came across a fantastic article by Muhammad Asim that features an array of seven exceptional online courses for those keen on delving deeper into the world of data analytics. The best part? All these courses are absolutely free!

Here's the list of courses that you can explore:

1. Intro to Data Analysis (Udacity): https://lnkd.in/d7EDVwGs ? Perfect for beginners, this course takes you through the data analysis process and introduces you to the popular Python libraries Pandas and Numpy.
2. SQL for Data Analysis (Udacity): https://lnkd.in/daUDdrvS ? If you're interested in managing data using SQL, this course is an excellent opportunity to learn or refine your SQL skills. Ideal for beginners.
3. Bayesian Statistics: From Concept to Data Analysis (Coursera): https://lnkd.in/dFjSi6kK ? This Free to Audit course offered by the University of California covers Bayesian Statistics from the ground up. While not recommended for beginners, it's perfect for those with intermediate knowledge.
4. Data Analysis with R (Udacity): https://lnkd.in/d7i4ShJD ? Aimed at intermediates, this course focuses on data analysis using R programming. Udacity's free courses offer exceptional quality.
5. Exploratory Data Analysis in Python (Coursera): https://lnkd.in/dR8dC3bT ? Dive into the first lesson of this course for free. Ideal for intermediate learners interested in Python-based exploratory data analysis.
6. Data Analysis and Visualization (Udacity): https://lnkd.in/d34zGvMX ? Designed for intermediates, this course requires some prior understanding of math and statistics.
7. Data Analysis with Python (Coursera): https://rebrand.ly/fa6abb ? With 12 lectures, this Python for Data Analysis course is a great starting point for beginners. It provides an overview of the topic without going into exhaustive detail.

We're living in an incredible era where knowledge is just a click away. Whether you're taking your first steps or seeking to enhance your skills, these courses have something valuable to offer.

Big shoutout to Muhammad Asim for curating such a valuable list!

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