Wednesday, January 27, 2021
  • Setup menu at Appearance » Menus and assign menu to Top Bar Navigation
Advertisement
  • AI Development
    • Artificial Intelligence
    • Machine Learning
    • Neural Networks
    • Learn to Code
  • Data
    • Blockchain
    • Big Data
    • Data Science
  • IT Security
    • Internet Privacy
    • Internet Security
  • Marketing
    • Digital Marketing
    • Marketing Technology
  • Technology Companies
  • Crypto News
No Result
View All Result
NikolaNews
  • AI Development
    • Artificial Intelligence
    • Machine Learning
    • Neural Networks
    • Learn to Code
  • Data
    • Blockchain
    • Big Data
    • Data Science
  • IT Security
    • Internet Privacy
    • Internet Security
  • Marketing
    • Digital Marketing
    • Marketing Technology
  • Technology Companies
  • Crypto News
No Result
View All Result
NikolaNews
No Result
View All Result
Home Data Science

What are the prerequisite skills required to become a data scientist in 2019?

April 12, 2019
in Data Science
What are the prerequisite skills required to become a data scientist in 2019?
585
SHARES
3.3k
VIEWS
Share on FacebookShare on Twitter

Credit: Data Science Central

According to the “Future of Jobs 2018” report, it is said that with advancement in machines and artificial intelligence it is likely that these technologies will replace 75 million jobs by 2020. Data scientist remains to be one of the trending careers, and those interested in pursuing data science as a career must first have the right skill set to land a job in this field.  

You might also like

Airport Runway Foreign Object Debris (FOD) Detection System to bolster with Advancement in Sensor Technology!

ModelOps vs. MLOps – Data Science Central

Dog Lost? How the Internet of Things Is Keeping Pets From Straying

As more companies become data-driven, professionals skilled in data science must keep updating their skills based on the current industry’s demand. A NASSCOM report estimates that the data analytics sector will be in an uprising stage to $16 billion by 2025. Thus, more organizations will, therefore, look for data professionals, increasing the demand significantly. Skilled candidates in a data field such as data scientists and data engineers will increase by 40% by 2020.  

Data science is not something one can achieve overnight, it is a field that requires constant learning. But nowadays anyone can acquire these skills if one is dedicated to it. If you want to learn data science, you will learn it. The only challenge is to find out what skills to learn and from where to learn.  

Consider following these prerequisites towards a data science career.   

Education 

Most of the data scientists are highly qualified. 

  • PhDs – 46%
  • Master’s degree – 88%
  • Bachelor’s degree in physical science, social science, mathematics, and statistics – 32%
  • Bachelor’s degree in computer science – 19%
  • Bachelor’s degree in engineering – 16%

A degree in any field mentioned above will help kick start a career in data science. However, having the degrees will not suffice. An organization expects to hire expert professionals who have exquisite skills both theoretically and practically. Since data science is a field which requires extensive data related tasks, practical knowledge will be preferred rather than theoretical knowledge.  

The truth is, organizations are more interested in practical skills. Knowledge without practical skills is like an empty vessel.  

Being a data science professional their main objective is to clean, analyze, manage, and organize a huge amount of data. An individual having the passion to leverage data and obtain valuable insights for the organization can become a data scientist. Choosing the right data science certification to get you skilled is dependent on factors such as prior programming experience and having fundamental knowledge in mathematics, and statistics, etc. For instance, Data Science Council of America offers rigorous reskilling and learning opportunities in data science. Starting out a career in data science can be tough without prior guidance or a proper career path. This credentialing body offers fundamental knowledge along with new age skills that are in demand in the current industry. Apart from this platform, one can also refer to other online platforms like Hortonworks certification or Cloudera. However, if you take a sneak peek into job portals, you will find that recruiters are keen on professionals with practical and domain knowledge. Depending on the level and knowledge that one has, you can choose any platform that best suits your learning style.  

Essentially these are the skills and technologies you need to acquire to become a data science professional.  

Skills required: 

  • Statistics and Mathematics – statistics and mathematics are the foundation in data science. Without prior knowledge in these topics, it can be challenging for one to get to core data science skills. For statistical analysis, one needs to master topics like linear algebra, regression methods, and Bayes theorem, etc.
  • Programming in R and Python – R and Python programming languages are widely used by most data scientist. Depending on one’s ease of programming skill, a data scientist may choose his/her tool. R is majorly preferred for statistical analysis and Python is used for general purposes. Working with machine learning and large datasets can get tough if you are not skilled in both the programming languages. Python is great for data manipulation and R work wonders on ad-hoc analysis.

Learn predictive analysis to build predictive analytics models – predictive models are built to predict the future of the organization based on the current data collected. To get there one needs to get skilled in technologies mentioned underneath.

  • Outlier analysis
  • Missing value analysis
  • Exploratory data analysis
  • Sampling techniques – R & Python
  • Decision Tree
  • Decision Tree Regression
  • Decision Tree Classification
  • Error Metrics
  • Error Metrics Regression
  • Error Metrics Classification
  • Linear Regression
  • Logistic Regression
  • Random Forest
  • KNN
  • Naive Bayes
  • Cluster Analysis
  • Text Mining
  • Deployment

Data Visualization tools – for any outcome or results to be comprehended one needs to understand data and represent it in a manner a layman can understand. This can be in the form of charts, graphs, pictorial representation, etc.

  • Tableau
  • RapidMiner
  • FusionCharts

Machine Learning – machine learning teaches the computer to handle tasks without human intervention. This is done with the help of machine learning methods like supervised machine learning algorithms and unsupervised machine learning algorithms.  

Databases – an expert in data science requires the professional to be able to retrieve data. Data plays a major role in the field of data science, for this having knowledge in databases is a vital concern, e.g. MongoDB, SQL, and MySQL, etc.  

Expert professionals who can speak data while explaining businesses value to executives can do anything with data. Let’s be honest, data scientists are the ones who discover trends, alter the future trajectory of an organization, and predict valuable insights for the future of business decision making.

 


Credit: Data Science Central By: Yoey Thamas

Previous Post

Q&A: Parents May Make Better AI Systems for Modern Business

Next Post

Encrypted Messaging Project "Matrix" Suffers Extensive Cyber Attack

Related Posts

Airport Runway Foreign Object Debris (FOD) Detection System to bolster with Advancement in Sensor Technology!
Data Science

Airport Runway Foreign Object Debris (FOD) Detection System to bolster with Advancement in Sensor Technology!

January 27, 2021
ModelOps vs. MLOps – Data Science Central
Data Science

ModelOps vs. MLOps – Data Science Central

January 27, 2021
Dog Lost? How the Internet of Things Is Keeping Pets From Straying
Data Science

Dog Lost? How the Internet of Things Is Keeping Pets From Straying

January 27, 2021
What Is The Best Way To Create A Fitness App In 2021?
Data Science

What Is The Best Way To Create A Fitness App In 2021?

January 27, 2021
Master Machine and Human Learning to Win the Digital Transformation Wars
Data Science

Master Machine and Human Learning to Win the Digital Transformation Wars

January 27, 2021
Next Post
Encrypted Messaging Project “Matrix” Suffers Extensive Cyber Attack

Encrypted Messaging Project "Matrix" Suffers Extensive Cyber Attack

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

Recommended

Plasticity in Deep Learning: Dynamic Adaptations for AI Self-Driving Cars

Plasticity in Deep Learning: Dynamic Adaptations for AI Self-Driving Cars

January 6, 2019
Microsoft, Google Use Artificial Intelligence to Fight Hackers

Microsoft, Google Use Artificial Intelligence to Fight Hackers

January 6, 2019

Categories

  • Artificial Intelligence
  • Big Data
  • Blockchain
  • Crypto News
  • Data Science
  • Digital Marketing
  • Internet Privacy
  • Internet Security
  • Learn to Code
  • Machine Learning
  • Marketing Technology
  • Neural Networks
  • Technology Companies

Don't miss it

Predictive policing is just racist 21st century cyberphrenology
Internet Security

Predictive policing is just racist 21st century cyberphrenology

January 27, 2021
Apple Warns of 3 iOS Zero-Day Security Vulnerabilities Exploited in the Wild
Internet Privacy

Apple Warns of 3 iOS Zero-Day Security Vulnerabilities Exploited in the Wild

January 27, 2021
Airport Runway Foreign Object Debris (FOD) Detection System to bolster with Advancement in Sensor Technology!
Data Science

Airport Runway Foreign Object Debris (FOD) Detection System to bolster with Advancement in Sensor Technology!

January 27, 2021
New machine learning tool predicts schizophrenia
Machine Learning

New machine learning tool predicts schizophrenia

January 27, 2021
10-years-old Sudo bug lets Linux users gain root-level access
Internet Security

10-years-old Sudo bug lets Linux users gain root-level access

January 27, 2021
In the Wake of the SolarWinds Hack, Here’s How Businesses Should Respond
Internet Privacy

In the Wake of the SolarWinds Hack, Here’s How Businesses Should Respond

January 27, 2021
NikolaNews

NikolaNews.com is an online News Portal which aims to share news about blockchain, AI, Big Data, and Data Privacy and more!

What’s New Here?

  • Predictive policing is just racist 21st century cyberphrenology January 27, 2021
  • Apple Warns of 3 iOS Zero-Day Security Vulnerabilities Exploited in the Wild January 27, 2021
  • Airport Runway Foreign Object Debris (FOD) Detection System to bolster with Advancement in Sensor Technology! January 27, 2021
  • New machine learning tool predicts schizophrenia January 27, 2021

Subscribe to get more!

© 2019 NikolaNews.com - Global Tech Updates

No Result
View All Result
  • AI Development
    • Artificial Intelligence
    • Machine Learning
    • Neural Networks
    • Learn to Code
  • Data
    • Blockchain
    • Big Data
    • Data Science
  • IT Security
    • Internet Privacy
    • Internet Security
  • Marketing
    • Digital Marketing
    • Marketing Technology
  • Technology Companies
  • Crypto News

© 2019 NikolaNews.com - Global Tech Updates