Do you enjoy problem-solving, analyzing complex issues, or exploring the practical role that data can play in decision-making? Then a career in data science or data analytics may be an area for you to explore!
What is Data Science?
Opportunities in data science and data analytics can be found in most sectors, including tech, finance, education, healthcare, and more. As companies and business decisions become more data driven, the need for data analysis and prediction continues to grow.
Work in data may vary based on your specific job title. Data Scientists use algorithms, systems, and mathematics to gain insights from structured and unstructured data. They typically work with large data sets and within a wider scope than data analysts, including more predictive analysis. Their work involves statistics, data visualization, and machine learning. The goal of their work is to find and define new business problems that lead to innovation.
Job Types
- Data Analyst
- Data Operator
- Data Analysis Specialist
Skills & Training
Coursera and LinkedIn Learning offer a wide variety of free courses in languages like Python and SQL as well as other programs like Tableau and Microsoft Excel.
Find a PDF with a curated list of courses in the in the Science & Technology Resource Card
Recruiting Timelines and Details
If you are thinking of applying to internships or full-time opportunities in data analysis or data science, keep in mind these industry nuances:
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Recruiting Timelines |
Resumes and Skills |
|---|---|
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Many larger & big-name companies begin hiring in the early-mid fall semester. Smaller & mid-size companies often begin hiring in the early-mid spring semester and continue through summer. In general, there are always openings for data positions, but you can expect the most popular companies to fill positions faster. |
Technical recruiters rely heavily on projects, coursework, and skills when evaluating position fit. It is essential to highlight your skills and strengths in your resume. Some common skills in data science & analytics include: Python, R, SQL, Java, Julia, Scala, MATLAB, TensorFlow, Microsoft Excel, and Tableau
For more resume ideas check out this page |
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