A comprehensive overview of a career as a data analyst

The data analyst, which was named the sexiest job of the 21st century by the Harvard Business Review, is the field that isn’t just limited to IT but digital marketing and the like. It is the most sought-after profession, offering well-paying jobs by the best companies. After completing the Data Analyst course, the candidate can experience work in different industries offering good salary and other benefits.

The aspirant, who has taken the digital marketing course, can also move on to data analytics in which he will be responsible for collecting data for online marketing campaigns.

The role of a data analyst

A data analyst has an essential role in collecting and performing statistical analysis of data. The data collected is then used for commercial purposes, in particular to apply the right algorithms. If you’re good at calculations, algebraic functions, and the like, data analysis is for you. To become an effective data analyst, you need to have specific skills, including:

  • Microsoft Excel to structure data with the right formulas
  • Basic SQL using knowledge
  • Web development skills
  • Data mapping

Typical Data Analyst Job Description

A typical job of the data analyst is to gather and cleanse data to discover trends in business information. The nature of the job depends on the industry and the company in which the person works. These analysts are responsible for creating dashboards, designing and maintaining the relationship in the data.

Data analysts typically work with the IT team or data scientist, helping to define organizational goals and data. The job is to cleanse and extract data from multiple sources. If the data is complex, it takes time and resources to complete the job. Data analysts are also smart to contact a different team to collect data.

Tasks performed by the data analyst

  • Collect and extract data
  • Trend research and algorithms
  • Market research analysis
  • Application of the final report to the company
  • Tools used by data analysts

There are different tools used by data analysts to find and extract data.

Google Analytics: This tool enables analysts to understand data and customer experience, which is important for achieving a positive long-term outcome.

Chart: This tool allows data to be aggregated and analyzed. The tool allows you to create and share the dashboard with team members.

Jupyter Laptop System: This tool allows a data analyst to easily test codes. However, people without coding skills can opt for the simple design of Jupyter notebooks.

Aspiring, while taking the Data Analyst course, they receive proper understanding and training on the tools mentioned above. The course also gives them a clear idea of ​​how the program works.

Programming skills required

Data analysts while taking the job, must wear programming skills like-

Programming with R

Under R there are different areas like Dplyr, GGPLOT2, Reshape2 and others. Getting a feel for these areas will help get the best data analysis job done.

Programming with Python

Python is the simplest form of programming, and for beginners it is the first step. Python gives good statistics in the work of data analyst.

Statistics

Programming will be of no use if the data is not interpreted using the correct statistics. Aspirants with good statistical skills can make the most of the data to get the result. It is essential to have basic knowledge about the probability of variables, histograms, etc.

Mathematics

Analyzing data is all about the math, and if you’re perfect, then the job becomes more comfortable. You may need to learn the advanced level of mathematics and linear algebra to be successful in the job of a data analyst.

Machine learning

It is the most powerful and required programming skill to be successful in the job of a data analyst. ML is a combination of calculus and linear algebra. Supervised learning, unsupervised learning, and reinforcement learning are the three types of ML that must be learned.

Conclusion

Overall, there is good career potential in working as a data analyst. All that is required is programming skill, as well as a passion to learn something new to add to your career. The ultimate goal is to get the most out of this industry.

Sean N. Ayres