As long as you surf the Internet, swipe Weibo, Douyin, chat on WeChat, and play games every day, you are generating data every day. Internet users now generate 2.5 terabytes of data every day, and 90% of the data we collect and utilize today was generated in the past 2 years.
Data scientists are experts in statistics, data science, big data, R programming, Python and SAS. They process large amounts of data every day and provide enterprises with data analysis in all aspects, such as helping enterprises improve resource utilization and help enterprises reduce operating costs , or help companies discover new opportunities.
Data scientists are the most integral part of an organization's pursuit of growth. If you want to be a data scientist too, do you know what a day in a data scientist is like?
no typical day
If you ask 100 data scientists trying to get a standard answer, sorry, no. Still, by interviewing different data scientists, we found commonalities in their work.
Turn on the computer every day, it is data
Data scientists spend most of the day collecting data, viewing data, analyzing data, visualizing data, interpreting data, etc.
Data-related tasks of a data scientist include:
- pull data
- Combine data
- analyze data
- Look for patterns or trends
- Use a variety of tools including R, Tableau, Python, Matlab, Hive, Impala, PySpark, Excel, Hadoop, SQL and/or SAS
- Develop and test new algorithms
- Attempt to simplify data problems
- Develop predictive models
- Build data visualizations
- Write data reports to share with others
- Pooling proof of concept
These tasks are the means that data scientists use to solve problems, because data scientists are essentially problem solvers.
Meeting with executives/clients
Data scientists need to attend various conferences, some of which may be business conferences. Data scientists can know what problems the current business encounters and what help they can provide in their own fields through attending conferences; That is to say, after data scientists have done a good job in data analysis, they are anxious about the stakeholder policy, and present and explain your reports and conclusions in front of company executives.
Like any other role in the workplace, scientists spend time attending different meetings and responding to emails from various departments, so presentation skills and communication skills are essential for data scientists. Complex data, too esoteric expressions, people may not understand, so it is necessary for data scientists to be able to explain the science behind the data in a way that laymen can understand, and to help them see where the problem lies. If a report, only data scientists can read it themselves Understand, that is a failure.
learn new knowledge
If you decide to become a data scientist, working with data and collaborating with others will take up most of your day, and the rest will be spent recharging yourself and learning new things. In the field of data, new problems and new solutions are born every day. If you keep up with the pace of technological updates, browse news, read blogs, and communicate with excellent peers, you will be unknowingly progress in.
Getting Started with Data Scientists
Designed by Ronald Van Loon, Simplilearn St. Pron's Data Scientist course is rated as one of the top 10 big data and data science influencers in the world. With Simplilearn St. Pron's data science program, you learn skills in statistics and statistical procedures, hypothesis testing, clustering, decision trees, linear and logistic regression, R, data visualization, regression models, Hadoop, Spark, PROC SQL, SAS macros, and more and tools, advanced analytics, Matplotlib, Excel analytical functions, Zookeeper, Kafka interfaces, etc. If you follow the scientific learning path with 8 hours of study per week, after 21 weeks you will be a certified data scientist.