Companies worldwide have always gathered and analyzed data about their customers to provide better service and improve their bottom lines. In today’s digital world, we are able to gather tremendous amounts of data, which require non-traditional data processing methods and software.
Data science is the area of study that involves extracting knowledge from all of the data gathered. There is a great demand for professionals who can turn data analysis into a competitive advantage for their organizations. In a career as a data scientist, you’ll create data-driven business solutions and analytics.
Looking forward to becoming a Data Scientist? Check out the Data Scientist Masters Program and get certified today.
Did you know that media services provider Netflix uses data science extensively? The company measures user engagement and retention, including:
Netflix has over 120 million users worldwide! To process all of that information, Netflix uses advanced data science metrics. This allows it to present a better movie and show recommendations to its users and also create better shows for them. The Netflix hit series House of Cards was developed using data science and big data. Netflix collected user data from the show, West Wing, another drama taking place in the White House. The company took into consideration where people stopped when they fast-forwarded and where they stopped watching the show. Analyzing this data allowed Netflix to create what it believed was a perfectly engrossing show.
Now let us explore some of the important data scientist skills that an individual should possess.
To become a data scientist, you’ll need to master skills in the following areas:
Once you’ve mastered these skills, you’ll have a range of career opportunities available.
Average salary: $120,931
Data scientists create data-driven business solutions and analytics by driving optimization and improvement of product development. They use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and more. Data scientists also coordinate with different functional teams to implement models and monitor outcomes.
Average salary: $137,776
Data engineers assemble large, complex data sets. They identify, design, and implement internal process improvements and then build the infrastructure required for optimal data extraction, transformation, and loading. They also build analytics tools that utilize the data pipeline.
Average salary: $112,764
Data architects analyze the structural requirements for new software and applications and develop database solutions. They install and configure information systems and migrate data from legacy systems to new ones.
Average salary: $65,470
Data analysts acquires data from primary or secondary sources and maintain databases. They interpret that data, analyze results using statistical techniques, and develop data collections systems and other solutions that help management prioritize business and information needs.
Average salary: $70,170
Business analysts assist a company with planning and monitoring by eliciting and organizing requirements. They validate resource requirements and develop cost-estimate models by creating informative, actionable and repeatable reporting.
Average salary: $54,364
Data administrators assist in database design and update existing databases. They are responsible for setting up and testing new database and data handling systems, sustaining the security and integrity of databases and creating complex query definitions that allow data to be extracted.
Simplilearn’s Data Science Master’s Program is an integrated program in big data and data science that includes the following intense courses to prepare you for an exciting career in data science:
Mastering the field of data science begins with understanding and working with the core technology frameworks used for analyzing big data. You’ll learn the developmental and programming frameworks Hadoop and Spark used to process massive amounts of data in a distributed computing environment, and develop expertise in complex data science algorithms and their implementation using R, the preferred language for statistical processing. The insights you will glean from the data are presented as consumable reports using data visualization platforms such as Tableau.
Once you have mastered data management and predictive analytic techniques, you will gain exposure to state-of-the-art machine learning technologies. This expansive data science learning path will help you excel across the entire spectrum of big data and data science technologies and techniques.
Simplilearn’s Data Science course is exhaustive, and earning a certificate is proof that you have taken a big leap in mastering the domain. The knowledge and skills you’ll gain working on projects and simulations and examining case studies will set you ahead of the competition.
Name | Date | Place | |
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Data Scientist | Class starts on 30th Jan 2021, Weekend batch | Your City | View Details |
Data Scientist | Class starts on 31st Jan 2021, Weekdays batch | Los Angeles | View Details |
Data Scientist | Class starts on 5th Feb 2021, Weekdays batch | Chicago | View Details |
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