Future of Data Science: The importance of data is growing across different business segments. We know that data forms the core of every business strategy. Every business has to deal with a large volume of data. This data is available in raw form. Here comes the role of a data scientist. They convert this data into useful information that is used by organizations to formulate business strategies.
There are different tools that assist a data scientist to filter out useful information. Artificial intelligence and machine learning are part of the analytics domain. Its growing use cases highlight the growing popularity of these technologies. Hence, it has also emerged as a popular career option. So, if you are looking forward to making a career as a data scientist, then you should be aware of the future of data science.
Advantages of Data Science for Businesses
Data find wider applications in different business domains. Irrespective of the business size, one cannot undermine the significance of data science. Here is how it helps in the business processes:
Increases predictability
– Precise analysis plays an important role in defining the business strategy for your business. Companies can use technologies like artificial intelligence and machine learning to work with the data available to the company.
Real-time intelligence
– The data scientists work on different data sources and create automated dashboards. This dashboard helps search all the data in real-time to help resolve issues and make accurate decisions.
Support sales and marketing-
– Irrespective of the business size, sales and marketing are integral pillars of an organization. With more accurate insight, it becomes easier for them to make the right marketing strategies. With accurate data analysis, you can get insights into your customer’s preferences. This helps create strong marketing strategies that help in the promotion of business.
Improves data security
– There has been significant development in the field of data security. The data scientist works on creating a fraud prevention system. They help create a safe system where all the information related to a customer is safe. Moreover, a data scientist can study patterns of behavior in a company’s system. Thus, it helps them figure out unauthorized behavior.
Interpreting complex data-
– The next significant benefit of data science is in interpreting complex data. The information available in the form of data is haphazard. And so, it has to be organized. A data scientist works on this data and filters out the important information.
Facilitates the decision-making process
– One of the biggest challenges that businesses face is the decision-making process. With the help of data science tools, it becomes easier for the company to decipher the insight of data. Hence, they can formulate strategies that can help make profitable decisions.
Evolution of Data Science
Since the 19th century, we have seen a wider application of statistics to collect data and derive results. However, with the surge in computer technology, a large volume of data is being generated. Statistical tools make it easier to study this data flawlessly.
With time, an even larger volume of data is released. With data science tools, one can study this data, analyze it and convert it into information that helps in effective decision-making.
Future of Data Science
Data forms a colossal pool of multiple data operations. This involves machine learning and statistics. All the algorithms of machine learning are dependent on data. Consequently, machine learning becomes a key contributor to the future trends of data. Data science also involves
- Automating Machine learning.
- Automated, data-driven decisions.
- Distributed Architecture.
- Dashboards and BI
The rise of AI and ML
Retail and e-commerce– These are one of the most advanced industries when it comes to the application of analytics. E-commerce companies like Amazon and Flipkart use data-driven techniques to formulate their decisions.
Automobile Industry– The next segment that is actively using AI, ML, and analytics techniques is the automobile industry. Self-driving cars, fixed destination cabs, autopilot flying cars, and automatic public transportation are examples of how actively AI is penetrating our life.
Healthcare- In the healthcare segment, a large data set of patients is used to construct a data science strategy to discover the pattern of diseases and derive the line of treatment.
Why Study Data Science?
The demand for data science professionals has increased. Hence it has become one of the most popular career choices. And so, you, too, should consider this as a positive career move.
To illustrate this, the following section takes you through some of the key developments in this field:
5.1 Noteworthy future trends in data science and big data analytics
- The market of big data analytics will reach $ 105.08 billion by 2027 at a CAGR of 12.3%.
- As per Allied Market Research, the analytics software market will reach $57 million.
- Small- and medium-sized businesses are keen to use data science and will be key drivers of growth for this industry.
- The Asia-Pacific region will experience the highest growth at a CAGR of 12.10% in analytics.
- There will be 11.6 million new job openings in the data science domain by 2025.
- The number of job openings in the data science domain witnessed a spike of 30% in April 2022 as compared to April 2021.
5.2 Data Science Future Trend: Career Predictions
Growth in the data science domain– Data science jobs are one of the fastest-growing segments. Since 2012, there has been a 650% rise in this technology.
Skill gap- The demand for skilled data science professionals will increase by 27.9% by 2026. Moreover, as per McKinsey, there is still a shortage of professionals with analytical skills. Around 1.5 million managers and analysts will be required in the future to analyze the data and derive useful insights.
Despite the growing demand, there is a gap between the demand and supply of data science professionals. Hence, there is a wide scope of growth opportunities in this field.
Lucrative salary- The salary of data scientists has also increased; hence, it has become one of the most lucrative career opportunities. And so, this growing demand is not only limited to the Indian market but has expanded on a global platform as well. Hence, pursuing a career as a data scientist will reap beneficial results.
Data Science Online Course Recommendations
Several online platforms provide data science courses. When shortlisting the best option, you should choose a platform that provides you with both practical and conceptual knowledge.
Pickl.AI provides the best learning experience. It has courses for fresher and working professionals. This course has been developed under the supervision of data science professionals. The cross compasses theoretical knowledge about data science and allied concepts like machine learning and artificial intelligence.
In addition to providing knowledge about AI and ML, and Python. The latter is a universal programming language and finds quite an application across the difference it feels like machine learning and artificial intelligence. Hence, joining this learning program will enhance your skill set and knowledge base.
Pickl also provides assistance in placement and developing a portfolio. Thus, it makes it easier for an individual to pursue a career as a data scientist.
Wrapping it up !!!
In the times to come, there will be a growing significance of data science across different domains. Irrespective of the business size, the relevance of data science will increase.
In this blog, we have briefly discussed an overview of data science growth and future trends. If you, too, are planning to make a career in this field, this is the right time to enroll in the data science certification course.
