DATA SCIENTISTS

SHORT PROGRAM 120 hours $6,500

LONG PROGRAM 184 HOURS $11,985

WHAT DOES A DATA SCIENTIST DO?

Understanding Business Needs: Meet with stakeholders to understand the business problem or question they are trying to solve.

Collect and Wrangle Data: Collect relevant data from various sources.

Analyze and Model Data: Using statistical methods, machine learning, and other advanced techniques, data scientists extract insights and patterns from the data.

Visualize and Communicate Data: To both technical and non-technical audiences.

Staying Up-to-Date: The field of data science is constantly evolving, so data scientists need to dedicate time to staying current with new technologies, tools, and methodologies.

TARGET AUDIENCE

Mathematical, analytical, and creative thinkers pursuing a career in Data Analytics or Data Science.

DEVELOP VALUABLE SKILLS

  • Data Visualization using Microsoft Power BI
  • CompTIA Data+
  • Python Programming and Data Analytics
  • R for Data Analytics and Visualization
  • CertNexus Data Science Practitioner (CDSP)

ATTRIBUTES AND PREREQUISITES

Data scientists tend to thrive with a blend of analytical and interpersonal skills.

Inquisitive and curious: Data scientists constantly seek to understand the world through data. They enjoy asking questions and delving deep into problems to find solutions.

Analytical and detail-oriented: Data scientists need to be meticulous in their work, ensuring accuracy in data collection, analysis, and reporting.

Critical thinkers and problem solvers: They approach problems logically and systematically, using data to identify patterns and trends to solve complex problems.

Effective communicators: While data scientists might spend a significant amount of time working with data, they also need to communicate their findings clearly and concisely to both technical and non-technical audiences.

Open to new ideas and learning: The field of data science is constantly evolving, so a willingness to learn and adapt to new technologies and approaches is essential.

Mathematics: A strong foundation in math, particularly statistics, probability, calculus, and linear algebra, is crucial for understanding data analysis techniques and building machine learning models.

Programming: Python is the most widely used programming language in data science. Familiarity with R and SQL is also beneficial.

Data wrangling and manipulation: Data scientists spend a significant amount of time cleaning, organizing, and manipulating data before analysis can begin.

Data analysis and visualization: Being able to interpret and effectively communicate insights from data through data visualization tools is essential.

demand

The US Department of Labor, Bureau of Labor Statistics (BLS) considers Business Intelligence Analysts (Data Analysts) to be a subset of the Data Science category and projects a positive outlook for Data Scientists (15-2051.00) with a growth rate of 35% from 2022 to 2032, much faster than the average for all occupations [BLS Data Scientists]. This translates to roughly 17,700 new job openings each year on average over the decade [BLS Data Scientists].

EARN CERTIFICATIONS

SHORT PROGRAM (120 hours) $6,500

  • Microsoft Power BI Data Analyst
  • CompTIA Data+ Certification

LONG PROGRAM (184 hours) $11,985

  • Microsoft Power BI Data Analyst
  • CompTIA Data+ Certification
  • PCEP™ – Certified Entry-Level Python Programmer
  • PCAP™ – Certified Associate in Python Programming
  • PCAD™ – Certified Associate in Data Analytics with Python
  • CertNexus Certified Data Science Practitioner (CDSP)

JOB ROLE

15-2051.00 DATA SCIENTISTS