Is It Worth Learning Data Science in 2019?

Yes, learning data science in 2019 was undoubtedly valuable. As a rapidly growing field, data science offers numerous applications across various industries, making it a critical skill set for professionals seeking to stay ahead in the modern data-driven world.

In 2019, the demand for data professionals was rapidly increasing across different sectors. Companies were increasingly valuing data-driven insights for decision-making, leading to a wealth of job opportunities. Continuous advancements in technology further strengthened the positive trend for the future of data science, providing a robust foundation for a successful career.

The importance of Big Data and data analysis cannot be understated. The ability to handle and analyze large datasets is becoming increasingly essential as organizations depend more on data to drive their strategies and operations. For those interested in data science and aligning their career goals with this growing field, 2019 was indeed a good year to start your journey. However, it’s crucial to have a solid plan and the right resources to support your learning journey.

The Bright Prospects of Data Engineering and ML Engineering

It's worth noting that the prospects for Data Engineering and ML Engineering are currently brighter than those for traditional data science. While data science offers lower entry barriers, one must perform exceptionally well to stand out in this competitive field. If you are highly skilled, you can thrive in the data science domain. However, if you’re looking for a field with higher barriers to entry, Data Engineering and ML Engineering might be more suitable for you.

Learning Data Science Without Traditional Education

The good news is that you don't have to enroll in a college to learn data science. A vast amount of materials is available online for free, making self-study an affordable and accessible option. If you already have a background in programming, you will likely have a significant advantage in this field. As the trend in software development shows, every software will soon include some kind of analytics module, and those who aren't doing so will lose an edge over their competitors.

However, it's important to note that while many companies recognize the potential of data science, there is still room for improvement. Many organizations are struggling to harness the full power of data science and may not know where to start. Therefore, if you are deeply interested in data science, now is an excellent time to start building your skills and knowledge.

Lastly, you can find valuable insights and perspectives on data science from experts across the industry. Explore online platforms and communities where professionals share their views and experiences. These resources can provide you with a wealth of knowledge and help you stay up-to-date with the latest developments in the field.