Data Analytics
Unlock the Power of Data
By 2025, the world is expected to generate more than 180 zettabytes of data. Behind every byte lies an opportunity—to better understand customers, personalize experiences, improve operations, and drive smarter decisions. But turning data into action requires more than just collecting it; it takes skilled professionals who know how to analyze and interpret it.
Data analytics is the process of collecting, analyzing, and interpreting large datasets to uncover patterns, trends, and meaningful insights. Think of it as detective work—except instead of solving crimes, you're investigating business challenges like why customers leave, how marketing campaigns perform, or where bottlenecks slow down production.
Data Analytics is essential for today’s businesses, nonprofits, and government agencies. More than 80% of business leaders rely on data insights to make informed decisions and stay competitive.
The Data Analytics Certificate Program at CCNY Continuing and Professional Studies is beginner friendly and prepares you to meet this growing demand. In this hands-on course, you’ll gain practical experience with SQL, Tableau, and R—industry-standard tools for querying, visualizing, and analyzing data. You'll complete guided projects and a capstone assignment to showcase your skills and build a strong resume and portfolio. Whether you’re launching your career or advancing your existing skill set, this program will help you uncover the stories hidden in data and create real-world impact across industries.
Course Description
The Data Analytics Certificate Program prepares students to explore and analyze data to solve real-world business problems. This hands-on course covers the essential tools and techniques used in the industry today, including SQL for data querying, Tableau for data visualization, and R for statistical analysis.
Students will learn how to collect, clean, and interpret data, design dashboards, and communicate findings through impactful reports. Guided projects and a capstone assignment provide practical experience working with datasets across industries such as business, healthcare, marketing, and operations.
By the end of the course, students will gain a strong foundation in analytical thinking, data storytelling, and technical skills that prepare them for entry-level roles in data analytics and business intelligence.
Learning Outcomes
- Describe the stages of the data analytics lifecycle—including data collection, cleaning, analysis, and visualization—and explain their purpose and sequence in solving business problems.
- Apply critical thinking and problem-solving techniques to interpret datasets and demonstrate effective communication of data insights to stakeholders.
- Use data analysis tools such as spreadsheets, SQL, Tableau, and R to analyze and visualize data; demonstrate an understanding of ethical data practices.
- Design and create a portfolio-ready data analytics project that integrates all phases of the lifecycle and showcases professional-level deliverables.
Schedule
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Tuition
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Benefits of Data Analytics?
As we explore data analytics, it becomes clear that its importance goes beyond numbers and stats. The true value of data analytics lies in its ability to uncover valuable insights organizations can use to drive their business goals.
Let's discuss some of the benefits data analytics brings to the table.
Better decision-making: Picture making decisions based on real data and facts—this is the essence of data-driven decision-making (DDDM). It's about making smart decisions that align with your goals, giving every team member the power to make better decisions daily. Achieving this requires nurturing skills in data proficiency, analytics agility, and fostering a data-centric community. Although it can be challenging to transform an organization into a data-driven one, blending data and analytics into decision-making processes can have a big impact.
Improve operational efficiency: Data analysis reveals bottlenecks and inefficiencies in your operations. This boosts efficiency and simplifies workflows while lowering operational costs and minimizing wasted resources. It's the recipe for enhancing your overall operations without sacrificing quality.
Enhance forecasting and planning: Data analysis provides predictive insights by enabling you to delve into historical trends and patterns. With this information, you can anticipate market shifts and emerging opportunities. It can also help you project sales and forecast customer demands. This foresight guides your decisions and helps you prevent potential disruptions.
Drive innovation: Data analytics plays a key role in driving innovation. Data, in particular, provides the foundation for game-changing innovations such as AI and impacts AI outputs. Overall, data analytics helps identify gaps in the market, determine customer needs, and reveal undiscovered opportunities. A data-driven approach encourages the exploration of new ideas and the creation of new products, services, and business models—ultimately driving growth and progress.
Boost security and minimize risks: When it comes to managing risks, data analysis is a reliable and valuable tool to have on your side. You can spot potential threats and craft strategies to mitigate them by examining past data and patterns. Insights gained through data analysis empower you to tackle uncertainties strategically, minimizing disruptions to your business.
Gain a competitive advantage: Combining the power of data analytics with market trend awareness, superior customer experiences, efficient operations, and informed decision-making creates an unbeatable competitive advantage. It extends to recognizing areas for improvement, tracking sales trends, and identifying market gaps fueled by insights from within your organization and the broader industry.
Career Outlook
Data Analytics is one of the most in-demand skills in today's workforce. According to the U.S. Bureau of Labor Statistics, jobs for data analysts, business analysts, and related roles are projected to grow much faster than average over the next decade. Professionals skilled in data analysis earn competitive salaries, with median U.S. salaries starting around $75K–$95K/year, depending on industry and location.
Typical job roles include:
- Data Analyst
- Business Intelligence Analyst
- Marketing Analyst
- Operations Analyst
- Reporting Specialist
- Data Scientist (Entry-Level)

Build In-Demand Skills for Data-Driven Careers
Prepare for an in-demand career with strong earning potential and long-term growth across industries.
average starting salary for entry-level analysts roles in New York City
projected job growth for business and data analyst roles from 2022–2032
of entry-level data analyst job postings list SQL and Excel as required skills
of entry-level analytics jobs don’t require prior work experience — just the right skills and training
Last Updated: 07/10/2025 10:15