How Can I Become a Data Scientist?

Data Science is the process of analysing data, extracting inferences, and acknowledging the latest trend to enhance decision-making and strategy planning. It is requisite for a data scientist to possess strong analytical skills, magnificent communication ability, knowledge of data visualization tools with a programming language, and a drive to find insights into numbers. A certified data scientist requires technical and workplace skills to create a successful career in the data science field.   

Key Areas in Data Scientist Roles

The four key areas that a data scientist is required to be proficient in educational and work experience backgrounds are:  
  1. Domain knowledge
  2. Math Skills
  3. Computer Science
  4. Communication Skill
 

Domain Knowledge

The importance of domain knowledge to become a data scientist is significant enough. Let us understand through an example. A certified data scientist looking for a career in the banking sector with knowledge about the banking sector like stock trading, knowledge about finance, etc has a higher chance of receiving a data scientist role than a normal applicant.   

Math Skills

Various machine learning algorithms like Linear Algebra, Multivariable Calculus, and Optimization Technique are elements required in the Data Science role. Besides, knowledge of Statistics and Probability is a prerequisite for mastering machine learning.  

Computer Science

The computer science skills that a data researcher should know apart from the programming language are:
  • Basics of Data Structure and Algorithm
  • SQL
  • MongoDB
  • Linux
  • Git
  • Distributed Computing
  • Machine Learning and Deep Learning, etc.
 

Communication Skill

This skill is another important element that a recruiter looks for, in a certified data scientist. It involves both written and verbal communication. When a data science project is conducted, the analysis involves drawing conclusions that must be communicated to others.    This communication is done either verbally or in an electronic form to the boss or team at work. Generally, a presentation takes place to a group of colleagues to help them understand the analysis. It’s an essential requirement to possess communication skills for becoming a data scientist as every project involves some form of communication regarding the findings of the project. 

What Certifications are required to become a Data Scientist?

  The below list includes the best data online data science certifications that can help a researcher in their career:
  • Certified Analytics Professional (CAP)
  • SAS Certified Data Scientist
  • Open Certified Data Scientist (Open CDS)
  • IBM Data Scientist Professional Certificate
  • Cloudera Certified Associate (CCA) Data Analyst
  • Dell EMC Data Scientist Track (EMCDS)
  • Google Professional Data Analytics Certification
  • Tensorflow Data Scientist Certificate

What are the Educational Requirements for the Data Scientist role?

  An individual is required to hold at least a bachelor’s degree in a related field to receive an entry-level-job as a data scientist. If the person has a master’s degree, he can get non-entry level jobs in the data science field. Around four out of every five data scientists possess a master’s degree. A trainee can follow the below steps to learn highly about data science and pursue a career in this field:
  1. Develop the abilities
  2. Pursue education and certifications 
  3. Learn a language
  4. Learn from industry experts
  5. Create a portfolio
  6. Develop technical abilities
  7. Develop business and analytical abilities
 

What are the Skills Required to sharpen the Data Science Career?

  A certified data scientist requires technical and workplace skills to grow in the data science field.    
  • In terms of technical skills, the essential knowledge required are: Big data technologies such as Hadoop, Hive, Pig, Cassandra, and MapReduce, Data-driven predictive model development, Ruby, R. Python, Matlab, C++, Java, SQL, SPSS, SAS, PHP, Multivariate statistics, such as regression principal components analysis and clustering, large dataset management using Teradata, Oracle, or SQL, and Business intelligence tools such as MicroStrategy, Business Objects, and Tableau.
 
  • In terms of workplace skills, a data scientist is required to engage with many different software programs, computing languages, people, and data types to figure out the best way to process data, analyze it, and articulate the findings to various people. Soft skills can be in the form of Open-mindedness, Communication skills, Teamwork, Curiosity, Persistence, Agreeableness, Leadership, and Articulation.
  More Information: Executive Post Graduate Programme In Data Science from IIT Bangalore Executive Development Program In Data Science Using Python, R & Excel from XLRI Jamshedpur Professional Certificate Program In Data Science And Business Analytics from Maryland University

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