From your Google queries to browsing shopping websites, scrolling through your social media, to making payments, all are pieces of data that are collected by the organizations for decision-making and strategic planning.
This data may look meaningless and incomprehensible but can reveal critical information by analyzing trends, consumer behavior, demographics, and other aspects. The decision-makers can harness these insights to improve efficiency, and performance, save costs, and so much more.
With so many benefits of analyzing data, it has become a critical component of every business and even government organization. Considering the data science career potential and benefits, it is the right time to pursue data science training in California.
What Is Data Science?
Data science is a process that involves everything from collecting the data from different tools to making reports based on the trends and patterns seen in the data. It is a multidisciplinary occupation where professionals need to be well-versed in programming, statistics, mathematics, and machine learning.
As the professionals are from different disciplines in data science, it has multiple job roles one can pursue as per the interests and the educational background.
• Data Scientist
• Data Analyst
• Data Engineer
• Database Administrator
• Machine Learning Engineer
• Statistician
• Business Analyst
• Data Architect
What Do Data Scientists Do?
Data scientists are experts in multiple fields and have a bigger responsibility than just analyzing the data and building statistical models. They possess excellent communication and analytical thinking skills to pass on valuable information derived from the data. Being close to the stakeholders, they create strategists that directly impact the business.
That's why organizations depend on data scientists to understand the insights gathered and develop a plan of action for implementing the strategies. Therefore, data scientists must have a balance of quantitative and qualitative abilities.
Is Data Science a Good Career?
There are plentiful reasons why pursuing a data science career is a great choice. Opportunities in data science are only going to increase with time, considering the speed at which data is growing.
The demand and salary for data scientists are growing at an exceptional speed. As per the Bureau of Labor Statistics (BLS), jobs in data scientists will grow by 14 percent through 2028.
In addition, data science, being a multifaceted career, offers versatility to choose from multiple roles in multiple industries, including finance, healthcare, retail, transportation, entertainment, and more.
Salary In Data Science
As per Indeed, the average salary for a data scientist is $14,1370 per year in the US. However, the data scientist's salary can vary according to the education, company, region, experience, job title, industry, and company size.
After years of experience, data scientists can move to management-level positions, which command higher pay than at the entry-level.
• Entry-level data scientist: The salary for an entry-level data scientist ranges between $40,153-$95,000.
• Mid-level data scientist: The salary for a mid-level data scientist ranges from $130,000- $195,000.
• Senior data scientist: The median salary for experienced data science professionals is between $165,000- $250,000.
How To Begin A Career in Data Science?
There is no certain educational requirement for becoming a data scientist. Data science professionals can enter into this field from any background/degree. They should be graduates in CS, social sciences, business, finance, mathematics, or any other discipline. They can also have a master's or Ph.D. degree.
While there is no single way to begin a career in data science, the basic thing it involves is acquiring relevant skills and knowledge of data tools set for solving data problems.
Technical Skills
• Programming
• Statistics
• Big Data tools
• Data Wrangling
• Data Analysis
• Mathematics
• Processing large data sets
• Data Visualization
• Machine Learning
• Deep Learning
Non-Technical Skills
• Communication skills
• Business acumen
• Storytelling
• Adaptability
• Critical Thinking
• Problem-solving
• Collaboration
You can acquire these skills through a data science program or by joining a data science bootcamp. As these bootcamps are short-term programs, it's easier to learn the critical concepts in 4-6 months.
The data science program offers structured training taking you through the fundamentals to advanced concepts. In addition, there is plenty of scope for understanding the practical application of concepts through case studies and live projects.
Conclusion
Even though the demand is rising for data professionals, there is a steep shortage of skilled professionals. This shortage creates an excellent opportunity for not only freshers who are willing to start a career in a lucrative field but also career-changers looking for a fresh start.
Eager to start a career in data science? Join SynergisticIT. Established in 2010, SynergisticIT offers the best data science training in California, preparing students with sought-after data science skills. With the skill training and career assistance offered by industry professionals, you can start a career with top companies like Google, Adobe, Apple, Facebook, etc.
