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How Long Is Google Data Analytics Course?

Jan 11

Google offers a very nice course on data analytics. This is a great opportunity for anyone who would like to learn the basics of analyzing data using SQL and Matplotlib. It also provides you with the skills you need to be able to answer any questions that you might have about the data. The course is reasonably priced and it will take you around 10 weeks to complete it.

Analyze Data to Answer Questions

When it comes to the best way to collect and analyze data, there's a wide range of choices out there. The question is: which ones are worthy of your time, attention, and treasure? Among the many options out there, it's hard to pick a winner, but that's not to say that you can't have a little fun with your data. One good place to start is with a solid data analysis plan. Whether your data is on the road, in the office, or at home, you'll need a way to weed through it all. Luckily, there are plenty of free resources out there to help you find and sift through the tidbits. Some even go a step further by suggesting a tee-time in return for your efforts. Plus, you'll get to test your wits against some real humans in the process. If you have a passion for knowledge, you'll love the reward.

Analyze Data Using SQL

Data analysis is a process that involves organizing, analyzing, and transforming data. This includes making predictions and finding patterns. It also includes formatting and presenting information in a visual format. The process of data analysis is done using the Structured Query Language (SQL).

SQL is a programming language that is used to work with databases. SQL queries allow the user to combine data from multiple tables. These queries can be repeated to complete a task. Some of the most common SQL functions include selecting and filtering.

Another important SQL function is joining tables. For this, you use the Having Clause. You can also use the Group By Clause. In conjunction with the SELECT statement, this is a useful way to arrange similar data into groups.

SQL is a scalable and fast programming language. As a result, it is ideal for large, complex datasets. Moreover, it allows you to save and reuse queries.


Matplotlib is an open source python library. It is commonly used for data visualization. In addition to plotting graphs, the library also has a few other useful functions such as the ability to create 2-D images and animated output. Interestingly, it is available on multiple platforms. The best part is, it is free.

Using this library to its fullest extent is one of the best ways to share your data-related findings. For instance, you can create a heatmap of your favorite baseball game using this tool. If you are looking to visualize the data related to weather or health statistics, you're in luck. This tool can do for your data what a good pair of eyeglasses can do for you.

Another great use for this library is the creation of a simple interactive dashboard. This is the ideal solution to a problem that a lot of data analysts have. This is because this type of tool can be integrated into a variety of applications, ranging from social networking to customer relationship management systems.


The Google data analytics professional certificate is a certification program that can prepare you for a career in data analysis. It is available through Coursera, an online learning platform. You can sign up for a free trial of the course.

After the free trial period, you have seven days to decide if the course is right for you. If you do, you can pay a monthly subscription fee of $39, or $234 if you take the full course.

Those who want a comprehensive course on data analytics will find the Coursera Plus Membership to be a good option. It includes 90% of the courses on the platform, plus the Google Data Analytics Professional Certificate. This subscription costs $59. In addition, you get a basic introduction to soft skills and technical skills.

The Burning Glass Labor Insight Report is also a good option, with more than 180 hours of content and assessments. Developed by Google employees with decades of experience in data analysis, the report provides job opening data and introduces users to analytical skills. For more information, please click on the following link: