Business Intelligence & Data Analytics
Our Business Intelligence and Data Analytics course provides a comprehensive foundation in harnessing the power of data to drive informed decision-making and gain a competitive edge in today’s business landscape. Whether you’re a business professional, analyst, or aspiring data scientist, this course equips you with the essential skills and knowledge to unlock valuable insights from data.
In this course, you’ll learn the fundamentals of business intelligence and data analytics, including data collection, analysis, and visualization. We’ll explore various tools and techniques used in the field, such as SQL, Excel, and Tableau, to manipulate and analyze data effectively.
You’ll gain hands-on experience in data cleaning, data modeling, and data visualization, enabling you to transform raw data into meaningful insights and actionable reports. We’ll also delve into statistical analysis and predictive modeling, empowering you to make accurate forecasts and data-driven predictions.
Upon completion of this course, you’ll be equipped with the skills to pursue various career paths, such as data analyst, business intelligence analyst, data scientist, or data consultant. These roles are essential in helping organizations make informed decisions, optimize processes, and drive business growth.
By enrolling in our Business Intelligence and Data Analytics course, you’ll gain the skills and knowledge to thrive in a data-driven world, unlocking exciting career opportunities and contributing to organizational success.
Join us now and embark on a transformative journey into the world of business intelligence and data analytics!
Intro to Data & Data science & different Data Science fields
Statistics - Descriptive statistics
Statistics - Inferential Statistics
SQL Stored Routines
Combining SQL and Tableau
Introduction to programming with python
Object Oriented Programming
Integrating Python and SQL
Using Tableau to analyze the predicted output
· Descriptive, Predictive, Prescriptive Concepts
· Data Maintenance and Data visualization Concepts
· Data Exploration
· Data Preparation
· Implementation and Tracking
There are majorly five types of sampling methods:
· Simple random sampling
· Systematic sampling
· Cluster sampling
· Stratified sampling
· Judgmental or purposive sampling