article thumbnail

Top 16 Data Science Job Roles To Pursue in 2024

Knowledge Hut

According to the World Economic Forum, the amount of data generated per day will reach 463 exabytes (1 exabyte = 10 9 gigabytes) globally by the year 2025. Thus, almost every organization has access to large volumes of rich data and needs “experts” who can generate insights from this rich data.

article thumbnail

What is the Future Scope of Computer Science?

Knowledge Hut

With the growth of cloud computing, data analysis, & automation, computer scientists are developing solutions that help organizations perform at their best. Computer science offer career opportunities like software engineering, cybersecurity, and data analysis which are in high demand and offer great opportunities for growth.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

How to Become a Data Engineer in 2024?

Knowledge Hut

Finally, apart from your academic degree and extra skills, you can also learn to channel your skills practically by taking on small projects such as creating an app, writing blogs, or even exploring data analysis to gather more information. What is the difference between Data Science, Data Analysis, and Data Engineering?

article thumbnail

A List of Machine Learning Libraries

U-Next

Because they may utilize the functionalities of the Machine Learning libraries knowing how the methods are implemented, this helps programmers save a huge amount of time, making their lives simpler. The American Deep Learning and Machine Learning Markets are expected to be worth $80 million by 2025. TensorFlow.

article thumbnail

Data Science Learning Path [Beginners Roadmap]

Knowledge Hut

In 2018, the world produced 33 Zettabytes (ZB) of data, which is equivalent to 33 trillion Gigabytes (GB). In 2020, this number grew to 59 ZB and was expected to reach a whopping 175 ZB in 2025. Can you imagine the data that big? How can companies leverage the data that they have to solve problems or innovate with current ideas?

article thumbnail

Machine Learning Career Track, Learning Path & Roadmap

ProjectPro

These statistics show that it's a perfect time to pursue a career in machine learning and artificial intelligence. Get Closer To Your Dream of Becoming a Data Scientist with 150+ Solved End-to-End ML Projects How much does an ML Engineer earn? Deep learning and computer vision-related careers may demand higher degrees.

article thumbnail

Cyber Security vs Data Science: Key Difference & Similarities

Knowledge Hut

To combat these dirty challenges thrown by hackers, the field of data science has emerged as a powerful player in the battleground against cybercrimes. Once this knowledge is applied, the data is cleaned and organized using techniques such as data analysis, feature engineering, and machine learning to make it usable and reliable.