Data analysis is a super useful skill in today's world where data rules the roost. Whether you're a newbie or already have some experience, it's important to keep learning and stay up-to-date with the latest techniques. Luckily, there are loads of free resources online that can help you kickstart your data analysis journey or take your skills to the next level. In this blog post, we'll check out eight awesome free resources that cover everything from Excel basics to machine learning. Let's jump right in!
Level: Beginners
Duration: Approx. 10-12 hours
Fee: Free, only Upgrade for certificates
Prerequisite: None.
Description:
If you're new to Excel, this Udemy course is perfect for you. It covers all the essentials, teaching you the ins and outs of Excel so that you can become an Excel whiz and ace your data analysis game.
Level: Beginners
Duration: Approx. 4 weeks
Fee: Free
Prerequisite: Basic knowledge of Spreadsheets
Description:
Structured Query Language (SQL) is a must-know language for working with databases and manipulating data. This beginner-friendly course from Udacity teaches SQL from scratch, including important concepts like joins, aggregations, subqueries, and data cleaning. Mastering SQL will make you a data analysis ninja!
Level: Beginner
Duration: 2 hours
Fee: Free to audit, only upgrade for certificates
Prerequisite: None
Description:
Power BI is a popular tool for data visualization and reporting. This Coursera course is a great starting point for beginners. You'll learn how to import and transform data using Power BI Desktop, and create eye-catching dashboards and reports that bring your data to life.
Level: Beginner
Duration: 3 weeks
Fee: Free to audit, only upgrade for certificates
Prerequisite: Basic understanding of usage of Data
Description:
Tableau is a top-notch data visualization tool beloved by data analysts worldwide. This beginner-friendly course by Udacity teaches you the fundamentals of data visualization, design principles, and hands-on techniques for creating stunning visualizations and compelling data stories using Tableau.
Level: Beginner
Duration: Approx. 10-12 weeks (2-3 hours/week)
Fee: Free to audit, only upgrade for certificates
Prerequisite: Basic mathematics and an aptitude to learn.
Description:
To excel in data analysis, a solid understanding of statistics and probability is essential. Khan Academy offers this beginner-level course, which covers analyzing different types of data, comparing quantitative data, modeling data distributions, and grasping the fundamentals of probability.
Level: Beginner
Duration: Approx. 5 weeks
Fee: Free to audit, only upgrade for certificates
Prerequisite: None.
Description:
Python is an incredibly versatile programming language widely used in data analysis. This course by FreeCodeCamp is perfect for beginners and intermediate learners alike. You'll learn the basics of data analysis with Python, including reading data from various sources, using libraries like Numpy and Pandas for data processing and visualization, and gaining practical skills for real-world data analysis.
Level: Beginner
Duration: Approx. 6 weeks (1-2 hours/week)
Fee: Free to audit, only upgrade for certificates
Prerequisite: Basic familiarity computers and productivity software's.
Description:
R is another popular programming language for data analysis and statistics. This beginner-friendly course on edX introduces you to the basics of R. You'll learn how to work with variables, external datasets, and write functions in R, providing you with a solid foundation for delving deeper into data analysis.
Level: Intermediate
Duration: Approx. 15 hours
Fee: Free to audit, only upgrade for certificates
Prerequisite: Basic knowledge of Machine Learning
Description:
Machine learning is the hot topic in data analysis, and this course by Google offers a great introduction. Designed for intermediate learners, it covers the basics of machine learning, including logistic regression, neural networks, and more. This course gives you a taste of the exciting world of predictive analysis.
Data analysis is a crucial skill in today's data-driven world, and these eight free resources are the perfect starting point to get you on the right track. From mastering Excel and SQL to exploring powerful tools like Tableau and Power BI, and diving into programming languages like Python and R, these resources cover a wide range of topics necessary for effective data analysis. Plus, the machine learning crash course gives you a sneak peek into the thrilling world of predictive analysis. So, get ready to level up your data analysis skills with these awesome free resources!
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