Ementorhub

What you'll learn

Explain the concept of business intelligence (BI), the key components and challenges involved, and the career options in this field.

Describe data analytics and its significance in BI, recognizing its role in extracting insights from data.

Evaluate different business intelligence tools and technologies used to analyze the business context and requirements of a BI project.

Develop actionable insights using appropriate tools and techniques for data gathering, wrangling, analyzing, mining, visualizing, and reporting.

Skills you'll gain

Data Transformation

Data-Driven Decision-Making

Key Performance Indicators (KPIs)

Business Analytics

Data Management

Statistical Visualization

Data Mining

Extract, Transform, Load

Data Collection

Data Wrangling

Data Warehousing

Business Intelligence

Data Visualization Software

Data Analysis

There are 6 modules in this course

You will also gain insight into the data ecosystem, BI analytics landscape, data repositories, and the extract, transform, and load (ETL) process. Additionally, you will be introduced to the role of statistical analysis in mining and visualizing data to identify patterns and trends and how to weave a compelling story with data. The course offers practical exposure with hands-on activities and a final project that enables you to apply your knowledge in real-world scenarios. This specialized program is tailored for individuals interested in pursuing a career as a BI analyst, and no prior data analytics experience or degree is required to take this course.

The Data Ecosystem

BI Analytics Landscape

Gathering and Wrangling Data

Mining and Visualizing Data and Communicating Results

Applying BI Techniques and Final Project