Data Analyst as a Career and in Numbers!

Data Analyst as a Career and in Numbers!

Have a Small Glimpse at the history!

Back in the ancient civilizations, basic form of counting and analyzing data were practiced to keep records. Ancient Egypt, for example, used to store records related to census data, tax records and inventories in the warehouse. In addition to other Civilizations like Ancient Mesopotamia which used to store data in clay tables!

What is actually data analysis?

Data analysis is basically the process of inspecting, cleansing, transforming and modelling collected data in order to gain insights, discovering useful information or come to a conclusion. Nowadays, certain people called Data analyst who uses their power in programming (in order to automatize the take and be more efficient), math and statistics are hired by companies and businesses to help them with there data.

Professions related to data analyst.

There are numerous titles and roles involved in the field of a data analysis, including:

Data Scientists

Data Scientists usually work with huge, complex and unorganized data using a combination of statistics, mathematics and programming. They mainly build predictive models using machine learning techniques in order to make accurate predictions and help an organization take actions and make conclusions.

Business Analysist

All huge business need someone who could identify areas of improvement and analyze the business process. Here comes Businesses Analysists. Business Analysists mainly make recommendations and introduce procedures in order to enhance the efficiency and help in increasing profits.

Quantitative Analysts


Quantitative Analysts(Usually referred as Quants) main job is --according to Invertopedia-- working in the financial industry and make use of mathematical and statistical techniques to study, measure, and evaluate financial instruments, financial markets, and the behavior of market participants.

Market Research Analyst


One of the important things needed by any business is to look at the market trends and work accordingly. Market Research Analysts main task is to collect and analyze data related to market trends, consumer behavior and competitive intelligence. Certain data analyzing techniques are used to make decisions and give businesses insights about the market and help make them in making up-to-date decisions.

Remember those are few examples, please consider making further research to gain more insight.

Data analysis in numbers

According to, There are over 93,471 data analysts currently employed in the United States, where 49.8% of all data analysts are women and 50.2% are men. with an annual wage of $74,061 for men and over $70,000 for women. Please refer to for that research for more insight.

Data analysis as a career?

As the world becomes increasingly data-driven, the demand for skilled data analysts continues to rise. Moreover, it is difficult to find any Huge company ( especially in the field of technology) to work without data analysis. However, similar to any career, the businesses are usually looking for the best, and more data analysts find themselves struggling to find a job.

What's next?

If you want to work as a data analysist, you will have to have a programming language, which will help you in being more efficient and precise by automating certain tasks. One of the Programming languages that should be at the top of your list is Python. Python offers you a wide and huge varieties of modules and libraries -- a lot which related to data analysis-- which help professions in completing certain task, in addition of it being the most-growing programming language in the world, so what are you waiting for?

Start your coding journey with us! Our beginner-friendly Python course covers everything you need to know, from basics to advanced concepts. With hands-on learning, supportive instructors, and a friendly community, you'll build a strong programming foundation in no time. Whether you're pursuing a career in tech or just curious about coding, our course will get you started quickly and confidently. It's also worth mentioning that at the end of the course, we will get your feet wet in data analysis with a real-life example which will enable you to scrap a website(collect data from a website), organize data and create a graph. Join us today and start coding with Python!

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