infyni

Introduction to Business Analytics

This is a live online course in Business Analytics for beginners. Taken by instructors, your learning is interactive, includes real-life challenges at the workplace. You will learn to recognize trends, interpret data, detect outliers, and be able to draw conclusions. Enroll to take a free trial.

Live Course

Live Class: Monday, 29 Apr

Duration: 30 Hours

Enrolled: 0

Offered by: infyni

Live Course

About Course

This live course in Business Analytics will introduce you to the fundamental concepts of business analytics and provide you with the skills necessary to analyze data and make data-driven decisions in various business settings.

SKILLS YOU WILL GAIN

Analytics

Business Analytics

Decision Tree

Predictive Analytics

Regression Analysis

Marketing Performance Measurement And Management

Simulation

Mathematical Optimization

Solver

Talent Management

Performance Management

This live and interactive course prepares you for your next opportunity. By learning how to apply basic statistics to business problem you will be ready for a career that is currently trending in every industry.

Enroll for a free trial and clarify your doubts with the instructor directly.

Skills You Will Gain

Analytics Business Analytics Decision Tree Predictive Analytics Regression Analysis

Course Offerings

Instructor-led interactive classes
Clarify your doubts during class
Access recordings of the class
Attend on mobile or tablet
Live projects to practice
Case studies to learn from
Lifetime mentorship support
Industry specific curriculum
Certificate of completion
Employability opportunity

Topics
Instructor (1)

1 1. Introduction to business analytics:

We will begin by providing an overview of business analytics, which involves the use of statistical and computational methods to analyze business data. We will discuss the different types of data commonly used in business analytics, such as customer data, financial data, and operational data.

2 2. Data exploration and visualization:

We will cover the basics of data exploration and visualization, which involves using software tools to explore and visualize data. We will discuss the different types of visualization techniques commonly used in business analytics, such as histograms, scatterplots, and heat maps.

3 3. Predictive modeling:

We will delve deeper into predictive modeling and cover the different types of models commonly used in business analytics, such as regression models, decision trees, and neural networks. We will also discuss the different methods used to evaluate the performance of these models.

4 4. Applications in business:

Throughout the course, we will provide examples of how business analytics is used in various business settings. We'll do case studies that involve real-world data sets and appropriate business strategy recommendations such as marketing analytics, financial analytics, supply chain analytics, and human resources analytics

Ashish yadav

About Instructor

Hello, I have worked on the implementation of Operational Research techniques like MCDM, simulation modeling, queueing theory, SCM, Data Analytics, Blockchain development in various industries. I am also a proficient academic and technical writer I have published research papers in WOS and SCOPUS indexed journals, Therefore I can handle research proposals, publishing of research papers, literature reviews, review articles, and journal articles. I am 24x7 available for any query in the above-mentioned areas

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