8 Skills Driving Tech Trends In 2021

In this article we’re going to discuss driving tech trends in 2021.

Technological progress continues to shape the way people work and the kinds of functions that organizations need to fill.

Professionals with Python, Cybersecurity and Blockchain programming skills will continue to be in high demand this year, along with near-omnipotent AI and Big Data competencies that are fundamentally changing roles within and outside of the tech sector.

Machine Learning

• Machine learning is a data analysis method that automates the creation of analytical models. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns, and make decisions with minimal human intervention.
•  The main machine learning programming languages ​​are Python, C ++, R , but Julia, Scala, MATLAB, and SA S are also part of this specialty. The languages ​​used are dictated by the environment and the industry in which they are applied.
•  Data scientists in financial services can use a combination of Python, SAS, and Matlab, to allow the incorporation of all aspects of data modeling, algorithm development, risk and statistical analysis, web analytics and data extraction.

Big Data

• Big Data is a term that describes the large volume of data – both structured (from internal CRM / data systems or external information providers) and unstructured, this being the main focus (Internet / web-based) – that floods a business daily. 
• Big data can be analyzed to extract information that leads to better business decisions (for example, product improvement) and business strategy.
•  Defined by the three key challenges called the “3 Vs” (volume, speed and variety) revolve around data capture, storage, analysis, transfer, interrogation and privacy. The key technologies and tools are: Amazon EMR, Apache (Hive, Pig, Spark), Map R, Hadoop, MongoDB and in general, NoSQL databases.

Python Programming

• Python is an increasingly popular tool for data analysis and data science. Python was explicitly designed to a) make code written in Python easy for humans to read, and b) minimize the time required to write code. It is one of the recent tech trends.
• Many high-traffic websites, such as YouTube, Spotify, and Dropbox , were built using Python, as it allows data to be created, updated, stored, and retrieved across various libraries and operating systems. Python is widely used for data science, statistical analysis, modeling, and machine learning, with extensions such as SciKit, SciPy, Pandas and Numpy, Keras, or Tensorflow.

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