5 essential data analyst skills (and how to learn them)
If you are reading this, you are probably well aware that data analysts are in high demand. With more and more businesses collecting massive amounts of information – and scrambling to harness it in their operations – data savvy professionals are needed to make sense of it all.
According to LinkedIn’s Workforce Report 2018, the U.S. job market is short of more than 150,000 people with the skills and know-how required to work in data science and analytics. And, with high demand comes a high salary. According to Glassdoor, data analysts average nearly $ 70,000 a year in the United States.
Of course, when it comes to landing one of these high paying positions, demand alone is not going to reduce it. Ask any data analyst worth their salt, and they’ll drop a knowledge bomb filled with various tools and concepts you need to know to get your foot in the door. It may seem a little intimidating for newcomers to the field.
Data Analyst Jobs and How to Get Them
This is where we come in. We’ve rounded up some of the best data analyst skills and tools you need to get familiar with. And we’ve even added learning resources to get you started. If you want to land one of these data analyst jobs, start with these educational packs.
Much of a data analyst’s job is to manipulate and visualize loads of data to give businesses the information they need. To make these things happen, they use Python. Famous for its versatility and user-friendliness, Python is often considered one of the best programming languages for beginners to learn, even if you are a complete beginner. In the hands of a data analyst, Python is used on its own and in conjunction with a number of specific libraries (such as Pandas, NumPy, and Seaborn) to cleanse, organize, and visualize information.
Mastering Python and its various libraries can seem daunting, but the right training can distill it with a manageable and intuitive approach. The Complete Python Data Science Bundle is a perfect starting point for aspiring Python users. It contains over 30 hours of training in Python, NumPy, Spark and more across 12 courses. You can get it on sale for $ 37 today.
The Complete Big Data Master Class Bundle is also a solid resource for new Python users. It also covers Python and a few popular libraries. Plus, it crawls other analytics databases, like Hadoop and Hive, for an even lower price tag of just $ 29.
Take a look at any data analyst’s toolkit and you’ll definitely find R near the top. The R programming language is a must have tool for data analysts looking to perform data mining, visualization, predictive analytics, and more. In short, if R is not in your data analyst skill set, you will be hard pressed to do your job.
If you want to add R to your list of skills, the 2019 Certified Data Scientist Architect Pack can give you a head start. This collection includes 130 hours of training not only in R, but also in Python and SAS. You can get it for just $ 49 today.
Speaking of SAS, this programming environment / language is another essential part of the data analyst’s arsenal. Commonly used for advanced analysis, data management, etc., SAS can take your data processing capabilities to a new level. With a little experience, you can use SAS to access data in almost any format; manipulate your data by creating subsets and columns, and even create flashy reports to showcase your findings.
As mentioned before, the 2019 Certified Data Scientist Architect pack offers a lot of SAS training, ranging from data manipulation to optimization techniques.
When you talk about data, SQL will inevitably pop up. Short for Structured Query Language, SQL is an industry favorite among data analysts. Often thought of as Excel on steroids, SQL can handle large amounts of data that would overwhelm even the most sophisticated Excel sheets. From managing and storing data to modifying the actual structures that house that data, SQL is a powerful tool. Once you land a data analyst job, you really can’t do without it.
There are many resources that can teach you the inner workings of SQL. But if you really want to improve your hiring, consider learning Oracle SQL as well. Oracle being a household name in the big data scene, tackling the company’s own version of the industry standard language can be a smart investment.
In addition to familiarizing you with Oracle SQL and Oracle Database, the Oracle Professional Certification Training Package will prepare you to pass the Oracle 12c Oracle Certified Professional 1Z0-062 Exam: Installation and Administration, allowing you to impress employers with a powerful proof of identity.
The above tools and languages can be a bit more sophisticated than Excel. However, you would be remiss to leave Microsoft’s spreadsheet outside of your data analyst skills. While it doesn’t have the heavy lifting capabilities of Python or R, Excel is better suited for lighter analytical tasks. It can even perform them faster than its more sophisticated alternatives.
Like most people, you’ve probably tried Excel before. But there’s a good chance you still have a lot to learn about PivotTables, macros, and the other features that make Excel a mainstay in every data analyst’s toolbox. Master them all with a Lifetime Membership of Excel Data Analyst Certification School. It covers all the essentials – and will even earn you an accredited Excel certification upon completion. Get it for just $ 49.
Other useful skills and resources
Amazon Web Services
Amazon Web Services provides everything from computing power to database storage to millions of customers around the world. So, as you can imagine, learning about this cloud services platform can give your resume that extra little ‘oomph’ to grab a recruiter’s attention. Familiarize yourself with all nine courses in the Ultimate AWS Data Master Class Bundle, on sale for just $ 39.
Data analyst or not, just about any professional can benefit from proficiency in Microsoft PowerShell. You can use this automation tool to create scripts and combine commands to simplify and automate tedious tasks. Whether you want to schedule a task to run in the background or delete a particularly unresponsive application, PowerShell streamlines the process. You can learn the ins and outs of PowerShell for just $ 19 with the Microsoft PowerShell Certification Pack. That’s over 90% off the regular price.
For those not in the know, DevOps is a software development methodology that merges software development and IT operations teams into one streamlined powerhouse. Companies in many industries have embraced DevOps. And while it’s not specifically related to data analytics, it’s still good to know. Chances are, you are part of or working with a DevOps team in your role as a Data Analyst. The Master Class DevOps Certification Training Package provides a solid introduction. It includes 75 hours of training and it is on sale for just $ 69 today.