What is a Data Analyst?
Data analysts play a crucial role in unlocking valuable insights from data to help businesses make informed decisions. A skilled data analyst is responsible for gathering, refining, and structuring raw data, transforming it into actionable information. These techniques include using advanced computer models, eliminating corrupted data, evaluating the accuracy and significance of information, conducting thorough analysis, and ultimately presenting it to fellow team members.
With the rapid advancement of technology, the possibilities for collecting various types of information have become a crucial part of almost any industry. Data analysts can be found in a wide range of sectors, including criminal justice, fashion, food, technology, business, environment, and the public sector, among many others.
Job Outlook
The future for data analysts is looking positive.
According to the U.S. Bureau of Labor Statistics (BLS), the field of operations research analysts, which includes data analysts, is projected to grow 23% between 2022 and 2032. This means that, on average, around 9,800 new job opportunities will open up each year during this period.
You can find more information on the BLS website.
Additionally, other related occupations also show high growth rates, as reported by the Bureau of Labor Statistics.
Course Information
September 4, 2024–April 23, 2025
Wednesdays, 5:30–8:30 p.m.
28 weeks - Live Online
$790.50
This program is designed for newcomers to the industry and for those looking to upskill within the industry. Upon completion of the course, you will be able to:
- Enter the workforce directly after completing the training. You will have a capstone project created to show you are job ready.
- Earn 8 open digital badges that demonstrate your understanding of each topic*
- Continue your education and stack your credentials into a Data Analytics certificate or degree!
*Earning an open digital badge provides a portable and verifiable way to showcase skills and achievements. These badges can be easily shared online across various platforms, enhancing one's digital presence and credibility.
What You’ll Learn
Introducing data analytics and acquiring skills that a data analytics professional needs to prepare, analyze, and display data. Become familiar with Excel, SQL, Python, and Data Visualization tools.
Advanced Excel functions for importing, cleaning, and processing data. Learn how to use various types of charts and graphs for data visualization.
This unit introduces the SQL language for data analysis. It will equip students with SQL skills, such as extracting data from databases and using SQL functions to clean up data for analysis.
Learn data visualization techniques to present data in a meaningful and impactful way. Learn to create dashboards using data visualization tools and present the data analytics findings. (Power BI or Tableau)
Learn the Python programming language for data analytics and how to use Python libraries, including Pandas, Numpy, and Matplotlib to load, manipulate, analyze, and visualize datasets.
Critical thinking in the 21st century includes the capacity to reason logically and rigorously. Effective critical thinkers exhibit four core sub-competencies: gather and assess relevant information; identify patterns; question assumptions; and draw well-reasoned conclusions.
Creative problem-solving in the 21st century workplace includes the capacity to solve problems in new ways.