How to Become a Data Analyst

Get a foundational education

First of all, you have to start developing the foundational knowledge and get the foundational education. Apply for undergraduate subjects such as computer science, information management, math’s, statistics, economics, finance, or business information systems. Having an undergraduate degree is at least a must for starting a career in this domain. However, some senior level job positions also require having a post graduate degree relevant to real working environments.

Build your technical skills

The next thing you have to do is build your technical skills. Many instituters provide Data Analysis Online Course and enrolling ion them will help you learn these skills. Some necessary technical skills for this job role are as follows:

       Statistics

       R, Python, and JavaScript programming

       SQL

       Data visualization

       Data cleaning and preparation

       Microsoft Excel

       Dashboarding

       Relational Database

       Machine Learning

Along with these technical skills, you should also learn some workplace skills such as communication skills, problem-solving ability, creativity, and domain knowledge.

Work on projects with real data

It is necessary to get some real-life working experience for starting a career in this domain. For this, you can look for programs or courses with hands-on projects using real data sets. Along with his, you can also work with the free public data sets you can use to design your projects. Gaining the real-life work experience will place you at priority in comparison of other candidates.

Develop a portfolio of your work

Start developing your work portfolio and gain some hands-on assignments. Place your best work in your portfolio and ensure that it demonstrates your best. Making a strong portfolio can go a long way toward getting the job. Show that you are capable of scraping the data from different sources and can normalize raw data. Above all, your portfolio should highlight your skills in visualizations through graphs, charts, maps, and other visualizations.

Practice presenting your findings

The next steps are to improve your ability to present he findings in an easy way. You should be able to present your results in such a way that even the non-technical decision makers and stakeholders can understand it. For this, start practicing in the mirror and look for areas to improve. Above all, this approach can help your business make seamless data driven decisions.

Get an entry-level data analyst job

Start applying for the jobs positions and get an entry level job. This entry level job will provide you working experience and will also help you polish your resume and apply for entry-level data analyst jobs. Along with this, the entry level jobs will also enhance your skills, portfolio, and enthusiasm. Above all, with experience, your pay is expected to grow even more.

Gain certifications

The last step is to prepare for certification exams and gain it. These certifications help you stand out to employers and will demonstrate your necessary skills to work on the job. Below are some of the best certifications you can explore in this domain. The Data Analyst Course Fees is around 30,0000 INR and enrolling in the course will help you prepare for certification exams. Associate Certified Analytics Professional

       Open Certified Data Scientist

       Google Certified Professional Data Engineer

       Microsoft Certified Azure Data Scientist Associate

       Microsoft Certified Data Analyst Associate

       SAS Certified Advanced Analytics Professional Using SAS 9

       SAS Certified Big Data Professional Using SAS 9

       Cloudera Certified Associate Data Analyst

Conclusion

Launching a data analyst career requires a strong foundation in math, statistics, and computer science. Building your technical skills in programming languages like Python and R, data visualization tools, and SQL is essential. Supplement your theoretical knowledge with hands-on projects using real-world data sets to gain practical experience. Craft a compelling portfolio showcasing your ability to clean, analyze, and present data insights effectively. Above all, consider pursuing industry certifications to enhance your resume and stand out to potential employers in this dynamic field.