DATA
SCIENCE:
The
Best Job in The 21st Century
A data scientist is someone who makes value out of
data. Such a person proactively fetches information from various sources and analyzes
that automate certain processes within the company.
Data
Scientist Responsibilities :
Data
scientists work closely with business stakeholders to understand their goals
and determine how data can be used to achieve those goals. They design data modelling
processes, create algorithms and predictive models to extract the data the business
needs, then help analyze the data and share insights with peers. While each
project is different, the process for gathering and analyzing data generally
follows the below path:
1. Ask the right questions to
begin the discovery process.
2. Acquire data.
3. Process and clean the data.
4. Integrate and store data.
5. Initial data investigation
and exploratory data analysis.
6. Choose one or more potential
models and algorithms
7. Apply
data science methods and techniques, such as machine learning, statistical modelling,
and artificial intelligence.
8. Measure and improve results.
Requirements
:
• Proven experience as a Data
Scientist or Data Analyst
• Experience in data mining
• Understanding of
machine-learning and operations research
• Knowledge
of R, SQL and Python; familiarity with Scala, Java or C++ is an asset
• Experience
using business intelligence tools (e.g. Tableau) and data frameworks (e.g.
Hadoop)
• Analytical mind and business
acumen
• Strong math skills (e.g.
statistics, algebra)
• Problem-solving aptitude
• Excellent communication and
presentation skills
• BSc/BA
in Computer Science, Engineering or relevant field; graduate degree in Data
Science or another quantitative field is preferred
Common
Data Scientist Job Titles :
The most common careers in data science include the following roles.
• Data
scientists: Design data modelling processes to create algorithms and
predictive models and perform custom analysis.
• Data
analysts: Manipulate large data sets and use them to identify trends
and reach meaningful conclusions to inform strategic business decisions.
• Data
engineers: Clean, aggregate, and organize data from disparate sources
and transfer it to data warehouses.
• Business intelligence
specialists: Identify trends in data sets.
• Data
architects: Design, create, and manage an organization’s data
architecture.
Data Science Career Outlook
By many accounts, becoming a data scientist
is a highly desirable career path. For four years in a row, Glassdoor ranked
data scientists as one of the 10 best jobs in America, based on median base
salary, the number of active job openings, and employee satisfaction rates.
Likewise, Harvard Business Review called data science “the sexiest job of the
21st century,” noting that “high-ranking professionals with the training and
curiosity to make discoveries in the world of big data” are in major demand.
From start-up’s to Fortune 500s to government
agencies, organizations are seeing the value in capitalizing on big data.
Google’s Chief Economist Hal Varian spoke about the need for data scientists
back in 2009, telling McKinsey Quarterly, “the ability to take data to be able
to understand it, to process it, to extract value from it, to visualize it, to
communicate it that’s going to be a hugely important skill in the next
decades.”
This prediction proved prescient. LinkedIn
calls data science the most promising job of 2019. The job site Indeed.com
recently shared statistics about the surge in data science career
opportunities.
Data Scientist Salaries
Essential Data Science Skills
Most data scientists use the following core skills in their daily work:
• Statistical
analysis: Identify patterns in data. This includes having a keen sense of
pattern detection and anomaly detection.
• Machine
learning: Implement algorithms and statistical models to enable a computer to
automatically learn from data.
• Computer
science: Apply the principles of artificial intelligence, database systems,
human/computer interaction, numerical analysis, and software engineering.
• Programming:
Write computer programs and analyze large datasets to uncover answers to
complex problems. Data scientists need to be comfortable writing code working
in a variety of languages such as Java, R, Python, and SQL.
• Data
storytelling: Communicate actionable insights using data, often for a
non-technical audience.
Data scientists play a key role in helping
organizations make sound decisions. As such, they need “soft skills” in the
following areas.
• Business
intuition: Connect with stakeholders to gain a full understanding of the
problems they’re looking to solve.
• Analytical
thinking. Find analytical solutions to abstract business issues.
• Critical
thinking: Apply objective analysis of facts before coming to a conclusion.
• Inquisitiveness:
Look beyond what’s on the surface to discover patterns and solutions within the
data.
• Interpersonal
skills: Communicate across a diverse audience across all levels of an
organization.
Starting a Career in Data Science
Most employers look for data science
professionals with advanced degrees. Candidates for data science roles usually
begin with a foundation in computer science or math and build on this with a
master’s degree in data analytics. In these graduate-level programs,
professionals gain core competencies in skills such as predictive analytics,
statistical modelling, big data, data mining applications, enterprise
analytics, data-driven decision making, data visualization, and data
storytelling.
Earning a Degree in Data Analytics Coding Blocks
Studying data analytics teaches students how
to employ statistics, analytics systems technology, and business intelligence
to achieve specific goals. With this foundational knowledge, students discover
how to find a logical, data-driven path to resolving a complex problem. They
also learn how to overcome data obstacles, such as dealing with uncertain data
sets and reconciling data from disparate sources.
The Master of Professional Studies in
Analytics program at Coding Blocks prepares students by learning various courses
provided by coding blocks and if need any support then experts are always there
to help you and solve your problem. We have also DATA
SCIENCES MASTER COURSE so you can do this and make your future
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