Choose from our list of Courses
Excel Functions & Formulas: Use Cases
SQL for Data Analysis
R Programming for Data Analysis
Data Accelerator Program
Python for Data Analysis
Data Entry for Analysts
Excel Functions & Formulas: Use Cases
COURSE INTRODUCTION Excel is a powerful tool for data analysis, reporting, and decision-making. Understanding how to use functions and formulas effectively can significantly enhance your productivity and efficiency in Excel. In this course, you will learn the fundamental Excel functions and formulas that are essential […]
SQL for Data Analysis
WHY SHOULD YOU ENROLL IN THIS TRAINING? SEQUEL widely known as SQL; Structured Query Language is the most popular standard language to work on databases. It is a domain-specific language that is mostly used to perform tons of operations which include creating a database, storing […]
R Programming for Data Analysis
R is a free software environment for statistical computing and graphics. It compiles and runs on a wide variety of UNIX platforms, Windows and MacOS. To download R, please choose your preferred CRAN mirror. COURSE DESCRIPTION WHY SHOULD YOU JOIN THIS TRAINING? Are you ready to harness […]
Data Accelerator Program
WHY SHOULD YOU JOIN THIS TRAINING? The Data Accelerator program equips candidates with the knowledge, techniques, and models to transform data into usable insights for making business decisions. WHO SHOULD ATTEND THIS TRAINING? This program is designed for people with zero experience, and it will […]
Python for Data Analysis
COURSE DESCRIPTION WHY SHOULD YOU JOIN THIS TRAINING? Analyzing data with Python is an essential skill for Data Scientists and Data Analysts. This course will take you from the basics of data analysis with Python to building and evaluating data models decisions. WHO SHOULD ATTEND […]
Data Entry for Analysts
Data entry is the process of digitizing data by entering it into a computer system for organization and management purposes. It is a person-based process and is “one of the important basic” tasks needed when no machine-readable version of the information is readily available for planned […]