Data Analytics and Data Science Program

Sign up to attend a Data Analytics and Data Science information session. If you do not see the confirmation email, please check your spam folder. If you require further assistance, please contact kharro@lagcc.cuny.edu Program Description: The ability to gather, prepare, analyze and display data is one of the most sought-after skill sets in the information technology marketplace, with demand spanning across sectors that include healthcare, finance, retail, real estate and even gaming. This program offers beginner, intermediate and advanced level data analytics courses, which may be taken individually or as part of a series. Earn a LaGuardia certificate in Data Analytics by completing Data Analytics Foundations; Python for Data Analytics; Data, Databases and SQL; and Data Visualization with Tableau. You can also earn a LaGuardia certificate in Advanced Data Analytics by completing Data Science: Predictive Analytics.  

Acquire the skills that a data analytics professional needs to gather, prepare, analyze and display data from structured and unstructured sources. Become familiar with Python, SQL and Tableau, and learn about the industries and professions that use data analytics. ND Scholarships Available! Click Here

Take your data analysis skills to the next level. Build on your knowledge of data analytics by learning advanced Python and take a deeper dive into machine learning and modeling. You will use machine learning to train various types of models to make predictions on large datasets. Upon successful completion of this course, you will earn a LaGuardia certificate in Advanced Data Analytics. Prerequisite: Data Analytics Foundations and Python for Data Analytics or passing of an assessment that requires intermediate knowledge of Python and statistics. ND

Learn how to use the Python programming language for data analytics. You will study how to perform data cleaning and transformations; use key statistical methods to analyze data; and create data visualizations using Python libraries. Prerequisite: Data Analytics Foundations or passing of an assessment that requires basic knowledge of statistics and intermediate knowledge of Microsoft Excel. ND

Prepare to take industry standard certificate exam in Machine Learning with the Google TensorFlow Certificate. This guided study group covers topics included on the internationally recognized assessment exam, including basic developer skills, building and training neural network models, image classification, natural language processing (NLP), time series, sequences and predictions. Prerequisite: Data Science: Predictive Analytics (Advanced) or equivalent experience 

Learn all about data, databases and SQL using PostgreSQL. Discover how data is useful. Explore how to extract data from databases so you can manipulate, transform, visualize and answer questions. Prerequisite: Data Analytics Foundations or passing of an assessment that requires basic knowledge of statistics and intermediate knowledge of Microsoft Excel.

Data visualization involves presenting data in a meaningful and impactful way in order to tell an easy-to-understand story. Gain a solid foundation in data visualization techniques by learning how to create visualizations and dashboards using Tableau and communicate data analytics findings. Prerequisite: Data Analytics Foundations or passing of an assessment that requires basic knowledge of statistics and intermediate knowledge of Microsoft Excel.