Data analytics is a data science. The purpose of data analytics is to generate insights from data by connecting patterns and trends with organizational goals. Comparing data assets against organizational hypotheses is a common use case of data analytics, and the practice tends to be focused on business and strategy. Data analytics deals less in AI, machine learning, and predictive modeling, and more with viewing historical data in context.
Learning data analytics can be a complicated process, and it’s not easy to know where to start. As a result, our editors have compiled this list of the best data analytics tutorials on YouTube to help you learn about the topic and hone your skills before you move on to mastering it. All of the videos here are free to access and feature guidance from some of the top minds and biggest brands in the online learning community. All of the best data analytics tutorials listed tout a minimum of 100,000 views.
Note: Don’t forget to subscribe to Solutions Review on YouTube!
…
Author: freeCodeCamp
Description: In this tutorial, you’ll learn the whole process of data analysis like reading data from multiple sources (CSVs, SQL, Excel, etc), processing them using NumPy and Pandas, visualizing them using Matplotlib and Seaborn, and cleaning and processing it to create reports.
Author: codebasics
Description: If you want to learn data analyst skills and aren’t sure where to start, this resource from codebasics offers a three-month step-by-step roadmap to acquire notable skills using free online resources. You can also gain access to a complete data analyst roadmap at this link.
Author: Simplilearn
Description: This video on data analytics In Excel full course will help you will understand the various crucial functions available in Excel, such as vlookup, hlookup, sumif/s, counif/s, iferror and others. You will also see how to use the data analysis toolpak to perform various data analysis operations.
Author: Edureka
Description: This Edureka tutorial on data analytics for beginners will help you learn the various parameters you need to consider while performing data analysis. It outlines topics like statistics, data cleaning and manipulation, data visualization, machine learning, and hands-on practice.
Author: Simplilearn
Description: In this data analytics full course video, you will learn what data analytics is, why data analytics is necessary, the types of data analytics, and the various data analytics applications. You will then be exposed to a case study and perform analysis of data using Python and R.
