Popular Data Analytics Courses for 2024!

In recent years, more and more people have started searching for how to become a data analyst. It’s no surprise that this position is becoming increasingly popular in today’s world with the massive amount of data we create.

What is data analysis?

Data analysis is the process of extracting information from data. It involves multiple stages, including building a dataset, preparing the data for processing, applying models, identifying key findings, and creating reports. The goal of data analysis is to find actionable insights that can inform decision making. Data analysis can involve data mining, descriptive and predictive analysis, statistical analysis, business analytics, and big data analytics.

Companies across all industries need experts who can harness data, analyze it, extract meaningful data-driven insights from it, and use those insights to help them solve critical business problems. Therefore, you might consider a career as a data analyst for the following reasons:

Job Demand

The job market for data analysts is booming, and it shows no signs of slowing down anytime soon. According to the U.S. Bureau of Labor Statistics, the number of analyst jobs is expected to grow by 23% between 2021 and 2031. If you’re looking for a future-proof career, this could be your best choice.

Salary

Data analysts are generally paid well, with the average salary in the United States being around $63,632.

Job Satisfaction.

According to PayScale, data analysts are generally very satisfied with their jobs, with an average rating of 3.9 out of 5 stars.

Online Data Analysis Course

This course covers Series, Pandas structures, data processing, data analysis, association/aggregation/statistics/pivot, data visualization, and more, and is suitable for students who want to get started and advance data analysis skills, or use it for job automation.

The course duration depends on the data analysis course you take, as each course is different. Many courses can be completed in just 12 hours or less. Specialization courses or a combination of three or more courses on a topic - usually cover more content and may take 1-3 months, with a recommended progress of 3-5 hours per week. Professional certificates also have a higher time requirement, ranging from 2-3 months, and a recommended investment of 3-10 hours per week.

How to Apply?

To apply for the data analysis course, you need to browse the specific eligibility requirements for the program. The application process may include submitting relevant supporting documents, and the specific steps and requirements vary by program. Please be sure to carefully read the application instructions provided by the relevant institution to ensure a smooth application process.