Skilled data analysts are among the most sought-after professionals across the globe. They guide business decisions making by gathering, cleaning, and studying data. The demand for data analysts is strong that there is a shortage of qualified individuals who can efficiently deal with massive amounts of data. These professionals command huge salaries and excellent perks, even at the entry level. If you want to become a data analyst but don’t have any industry experience or are working in an unrelated field. Then starting or switching to a new career as a data analyst fresher, the first thing to look for is earning a data analytics certification.
Before we get started with how to start a career in data analytics, as a prospective data analyst, you must know what data analysts do. Data analysts are skilled professionals who deal with a massive amount of data, probe it to spot trends, extract information, and make forecasts to help employers make better, informed, and data-driven decisions. These professionals are highly employable across investment banks, private equity firms, hedge funds, insurance companies, technology firms, credit bureaus, and almost any industry you can think of.
Data analytics jobs are found in all sorts of industries, and there’s more than one pathway toward securing your first job in the high-demand field. Whether starting a professional career or pivoting to a new one, here are some steps that can allow you to start a career as a data analytics fresher. Here’s how to start a data analyst career by pursuing a data analytics certification.
Data Analytics Certification: An Overview
Data analytics certifications offered by leading educational institutions in Berlin are proficient in making future-ready data analysts, allowing them to upskill and launch a career in data analytics. The certification courses provide learners a strong foundation by integrating theoretical and practical aspects of data analytics in a well-designed certification programme. The modules covered under a data analytics certification programme are:
- Introduction to data analytics
- Predictions using data
- Visualising the data using dashboards
- Segmentation using cluster analysis
- Making predictions using Linear and Logistic Regression model
These five elaborate modules underpin every aspect of data analytics needed to start or advance a career in data analytics. Upon completion of this certification programme, learners become proficient in data analytics and essentially gain the following skills:
- Solving business problems and supporting managerial decision making
- Applying Excel and Excel-Add ins to solve business problems
- Presenting data using dashboards to allow quick and easy review
- Developing a needs assessment for data analysis and preparing reports by analysing business data
Learners of the data analytics certification programme learn these skills essentially through the assignments. The assignment comprises steps including identifying needs, excel analysis, regression, customer segmentation, and dashboards.
The most important aspect of building technical skills. Whether you are learning through a certification or a degree programme, these are some of the skills you will likely need to get hired:
- R or Python Programming
- Data cleaning and preparation
- Structured Query Language (SQL)
- Data visualisation
These are some skills a fresher needs to start a career as a data analyst. However, a data analytics certification program can be an excellent pathway toward building a career in data analytics.