Data analyst are in high demand today more than ever.From June 2020 to June 2021 the number of job openings in data analysis increased by 67%.These figures give a good idea about the booming of data analysis as a career choice.Data analysis is booming because of following reasons-1) The world is moving towards innovation and digital transformation, which is generating a large amount of mobile data traffic and cloud-computing traffic. 2) To add to it, there is increased use of Internet of Things, AI and ML, all of which is collecting our data in one or the other way. Companies want to tap the potential in this Big Data so as to take appropriate course of action.4) A lot of market research is required for taking decisions and optimising performance of companies, so in a way data analysis play a crucial in decision making.5) Further, data analysis is required by various sectors, thus there is a huge demand for people with correct skills and talent.6) Data analysis is open to everyone who has a natural inclination towards research and problem-solving. One only needs specific certifications to start their career.7) Decent salary packages are offered, even at entry level and there is huge scope of earning upto 50 lakhs per annum.8) There is a wide spectrum of job titles and specialisation .9) There is a huge gap in demand and supply of skilled talent in this field of work.10) Data analysis need continuous updation so there is scope for more job openings11) here's alot of scope of upskilling oneself and grow.So do consider this option as your prospective career.
Data analysis means to analyse raw data and remove unwanted data and bring out something meaningful from it.
It requires digging deep into the raw data, which requires strong research skills, statistical skills, mathematical skills and good knowledge of computer programming such as SQL, SAS, Python, R and of course, excel.
One can start his/her journey of becoming a data analyst after completing their graduation, preferably in mathematics, statistics or computer science.
Post that, one can do a certification in data analysis, and computer programming as listed above, and that's it, you are ready to take up your entry level job.
However, it is advisable to do a master's in data analysis if one wants to grow up on.
The growing significance of data in decision-making, technical developments that make data processing and analysis easier, the strong need for data skills across industries, and the abundance of available educational resources have all contributed to the growth in the data analysis field. The demand for qualified data analysts is expected to rise as companies prioritize data-driven strategies, making this a desirable career path.
An interdisciplinary subject known as "data science" uses scientific procedures, systems, algorithms, and methodologies to extract knowledge and insights from both structured and unstructured data.
For more information, I suggest you to read this article which contains crucial insights and stats about data science industry
Data analyst are in high demand today more than ever. From June 2020 to June 2021 the number of job openings in data analysis increased by 67%. These figures give a good idea about the booming of data analysis as a career choice. Data analysis is booming because of following reasons- 1) The world is moving towards innovation and digital transformation, which is generating a large amount of mobile data traffic and cloud-computing traffic. 2) To add to it, there is increased use of Internet of Things, AI and ML, all of which is collecting our data in one or the other way. Companies want to tap the potential in this Big Data so as to take appropriate course of action. 4) A lot of market research is required for taking decisions and optimising performance of companies, so in a way data analysis play a crucial in decision making. 5) Further, data analysis is required by various sectors, thus there is a huge demand for people with correct skills and talent. 6) Data analysis is open to everyone who has a natural inclination towards research and problem-solving. One only needs specific certifications to start their career. 7) Decent salary packages are offered, even at entry level and there is huge scope of earning upto 50 lakhs per annum. 8) There is a wide spectrum of job titles and specialisation . 9) There is a huge gap in demand and supply of skilled talent in this field of work. 10) Data analysis need continuous updation so there is scope for more job openings 11) here's alot of scope of upskilling oneself and grow. So do consider this option as your prospective career.
The growing significance of data in decision-making, technical developments that make data processing and analysis easier, the strong need for data skills across industries, and the abundance of available educational resources have all contributed to the growth in the data analysis field. The demand for qualified data analysts is expected to rise as companies prioritize data-driven strategies, making this a desirable career path.
An interdisciplinary subject known as "data science" uses scientific procedures, systems, algorithms, and methodologies to extract knowledge and insights from both structured and unstructured data.
For more information, I suggest you to read this article which contains crucial insights and stats about data science industry
Predicting the Future of Data Science: What Lies Ahead?
Thank you for this piece of information. Could you also throw some light on certain platforms from where these courses can be taken?