How can I become a data scientist?
You should know Python programming language, R programming language, or SAS programming language if you want to become a data scientist. Besides, it requires Mathematics, Statistical Theory, Probability Theory, AI, ML, Machine Learning, Deep Learning, Data Wrangling, Apache-Spark, Data Visualizations, and SQL-Database/Coding. However, Data Engineer, Data Scientist, Data Analyst, Database Administrator, Data Architect, ML Engineer, and Business Analyst are different Job Roles in the field of Data Science. Data Science is one of the hottest career options now. It comprises Machine Learning, and Data Mining, and Data Analytics. Data Analytics is inclined to the techniques of solving problems for the questions with unknown answers; this technology is based on producing results that can lead to immediate improvements in the organizations. A professional needs to be fluent in R programming language to become a Data Scientist with R, while mathematical statistics and data wrangling are the skills required to become a data analyst.
Data Analytics comes under Data Science
The data scientists’ main goal is to help companies predict potential trends, explore disconnected data sources, and find better ways to analyze information. On the opposite side, a data analyst is a person who can visualize data, do basic descriptive statistics, and communicate data points to draw conclusions.
Data Science is a career option that comprises Data Analytics, Machine Learning, and Data Mining, and many other related disciplines. Owing to this career segment’s job opportunities and salary aspects, it has become a highly desirable option for millions of working professionals having coding backgrounds. Machine learning, artificial intelligence, corporate analytics, and search engine engineering come under the data science domain; however, data analytics includes healthcare, gaming, travel, industries with immediate data needs. After earning Data Analytics Training, you will be able to do data cleansing, exploratory data analysis, develop visualizations and KPI’s, and discover new patterns using various statistical tools.
What skills do I need to become a data professional?
To become a data scientist, you are supposed to have in-depth knowledge in R, Python, SAS, and Scala and carry work experience in SQL database coding. You need to know machine learning, understand multiple analytic functions, and familiar with the techniques of extracting unstructured data from various data sources, such as video and social media. You need to be fluent in the programming languages such as R and Python to become a data analyst. Besides, mathematical statistics and data wrangling are the skills required to become a data analyst.
Data Scientist or Data Analyst
Working knowledge of SQL or basic LINUX commands is the fundamental prerequisite of earning data analytics training. Nevertheless, Data Science training requires sound knowledge in mathematical aptitude and carry basic knowledge of Java and functional programming. To understand the differences, you are supposed to get a basic familiarity with the tools and technologies associated with these courses. As a data scientist, you can shine in your career if you have experience of 1 to 10 years. However, you need to carry at least 2 years of work experience to get a sustainable career after data analytics training.
Contact Multisoft for becoming Data Scientist or Data Analyst
Multisoft Virtual Academy has emerged as a prominent training company, especially for self-paced or instructor-led training. We are promised to give you an instant discount for your on-the-spot enrollment. Throughout this long period, it has mastered the art of delivering online courses based on real-life examples. As an accredited training company, this institute maintains international standards, adds module-wise assessments, ensures lifetime e-learning access, and delivers a course completion certificate to the learners.
About the Author: Rajib Kar, who finds reading and writing therapeutic, is a technical content writer in Multisoft. An avid blogger, he has worked in various IT companies that provide employee training to develop employability-skill and workplace-based attitude. This content marketer usually writes about the recent developments of corporate and industrial training.
