Data Science & Analytics Courses

This course is designed for those interested to learn the advanced features of Excel by using the nine case studies presented in the course, build financial models from scratch, automate reporting, transform raw data into analytical reports, and learn industry best practices related to Excel modeling.

This course is designed for those interested to learn the basics of hydrology using ArcGIS, perform the main features in the GIS software, use the geoprocessing tools, and geographic and spatial analysis.

This course is designed for those interested to learn the basic concepts related to Data Science, Machine Learning and Artificial Intelligence, be familiar with basic concepts of ML and AI and appreciate how they are being used in the Financial Services industry.

This course is designed for those interested to learn the basics of remote sensing with ArcGIS, as well as downloading free satellite images, generating FCC images, and defining projection through georeferencing.

This course is designed for those interested to learn the basics of data science and machine learning, become a professional data scientist, write complex programs, learn data wrangling, and plotting in R.

This course is designed for those interested to learn the basics of data preprocessing using MATLAB and be able to figure out how to further improve the performance of machine learning algorithms.

This course is designed for those interested to learn more about Microsoft Power BI in managing a huge amount of data, from different sources, and turn them into great reports and dashboards with powerful visuals.

This course is designed for those interested to learn the basics of SQL for data analysis. Students will also learn about defining data with SQL, connecting Excel with GUI, and creating tables and loading data.

This course is designed for those interested to learn the basics of SAS programming and how to go from beginner to advanced to obtain SAS certification.

This course is designed for those interested to learn how to plot and visualize data using Python.

This course is designed for those interested to learn the basics of Microsoft Access, as well as managing large amounts of data and creating tables and queries from it.

This course is designed for those interested to learn the basics of R programming together with data visualisation, the mechanics of a powerful dpylr library, and statistics.

This course is designed for those interested to learn the basics of Machine Learning and Data Science, libraries such as Scikit-Learn and Pandas, and Matplotlib for data visualization.

This course is designed for those interested to learn the basics of marketing analytics using Google Analytics as a tool to understand the methods and techniques for measuring, monitoring and analysing web traffic.

This course is designed for those interested to learn the basics of machine learning and how to implement different machine learning classification algorithms using MATLAB.

This course is designed for those interested to learn the basics of analytics in creating business strategies as well as using sets of strategic metrics and decision models for each type of strategic decision.

This course is designed for those interested to learn the advanced features of Power BI such as merging and duplicating queries, various Data Analysis Expressions or DAX, and different kinds of formatting and design.

This course is designed for those interested to learn the basics of Python programming, as well as fundamentals for understanding functionalities, working with data structures, and visualizing data.

This course is designed for those interested to learn the basics of Power BI together with getting familiar with its interface, connecting to data, and publishing and sharing your work with others.

This course is designed for those interested to learn the basics of the business applications of data science, how to develop an effective resume and cover letter, how to prepare for coding interviews, and how to present projects.