Business Analytics Course Syllabus

What do you study in a business analytics course? 

What is a business analytics course syllabus? 

If you’re looking for an answer to these questions, you’ve come to the right place. This article will throw light on our business analytics syllabus, and you’ll find out what you can expect to learn from the same.

We offer the Certified Program in Business Analytics with IIT Bombay, and this article will discuss the syllabus of that course. This program teaches you the necessary skills for becoming business analytics professional. IIT Bombay is a recognised Institute of Eminence (IoE) and, according to (QS) World University Rankings 2020, it is ranked 1st in India. 

Our Business Analytics Course Syllabus

Our business analytics course teaches you the foundational skills you need to become a professional in this industry. You will learn about all the technologies and subjects professionals use in this sector through videos and live lectures. Our course offers weekly live lectures every Sunday where you can resolve doubts and interact with instructors.

Even though our business analytics syllabus is highly detailed, the course lasts for 7-months only. Moreover, it is completely online, allowing you to pursue the program from anywhere in the world. You don’t have to interrupt your professional life to learn business analytics as you can learn from the comfort of your home or any other place you like. 

Some of the top skills you will learn in this program are SQL, Tableau and Python. After completing our Certificate Program in Business Analytics, you’ll receive a completion certificate from IIT Bombay CE and QIP (Continuing Education & Quality Improvement Programmes). 

We have shared a glimpse of our business analytics course syllabus below so you can understand what to expect from this program: 

Introduction

The first section of our business analytics gives you an overview of the course with interesting examples from the field of business analytics. You will learn about the different modules available in the program and understand the opportunities available in this industry. 

Python

Python is among the world’s most popular programming languages. It is a highly versatile language with applications in data science, machine learning, and business analytics. The reason behind Python’s high popularity is its various libraries. 

In this section of our course, you will get familiar with Python and learn how to manipulate data sets in this language by using Pandas. Pandas is an open-source and the most robust library for data preparation and analysis. 

Descriptive Statistics

This section will throw light on descriptive statistics, the process of analysing a summary statistic that quantitatively describes or summarises features from a group of information. This module will also throw light on some of the concepts from the next section of our course, Prelim Stats Concepts. 

Prelim Stats Concepts

This section will further explain descriptive statistics and several other foundational concepts, including conditional probability, random variables, and distributions. Learning about these concepts will help you move onto more advanced subjects in the latter half of the program. 

Exploratory Data Analysis

After you’ve studied the basics, the course will cover exploratory data analysis, which we use to find and analyse patterns in the data to generate actionable insights. Exploratory data analysis is also an essential skill for data professionals, and it primarily uses statistical graphics and other data visualisation techniques. 

Statistical Inferencing

This section of our Certificate Program in Business Analytics will make you familiar with statistical inferencing. You will find out how to infer insights for a vast population using a small sample. It is also the first module that lasts for two weeks. 

ANOVA and Sampling

You will learn more about levering statistical concepts and your generated insights to solve problems in this module. The course will teach you how to formulate and validate hypotheses for a population to solve business problems. 

Time Series

This is another 2-week module where you will learn how to analyse and forecast a series that varies with time. A time series refers to a sequence of data points recorded in time order taken at successive equally spaced points in time. It can be annual, monthly, weekly, or even by the minute. 

PCA

You will understand crucial concepts related to dimensionality reduction, PCA fundamentals, and how you can use them on supervised and unsupervised problems. 

K-Means and K-NN

K-means is among the most popular and powerful classification algorithms in machine learning. This section will make you familiar with K-means clustering and how you can use it to classify data. We use K-means clustering to classify data into different clusters when we don’t have any predefined labels. 

Neural Networks

Neural networks are computer systems focused on resembling the functions of a human brain. They are an advanced branch of artificial intelligence and machine learning. This module will teach you the fundamentals of artificial neural networks (also known as ANNs) and how we use them in business analytics. 

Optimisation

This section of our business analytics course will teach you the fundamentals of linear and non-linear optimisation to reach an optimal solution under different decision constraints. 

Simulation

Here, you will learn about how you can run simulations to understand decision making under uncertain circumstances. 

Applications of Business Analysis Part I

By now, you would have learnt all the fundamental and advanced concepts of business analytics. Hence, we’ll cover how you can apply business analytics in different avenues of an organisation. This section will cover business analytics applications in Big Data, Business Problem Solving and Marketing Analytics

Applications of Business Analysis Part II

Like the last section of our business analytics syllabus, this one would teach you how you can approach open-ended problems through data to generate valuable insights. Some areas we’ll cover in this module are Financial Analytics, HR Analytics, and Operational Analytics. 

Start learning today!

We hope you found this article on our business analytics course syllabus useful. If you’re interested in learning more about our business analytics course, you can directly check out the course page: Certificate Program in Business Analytics.

upGrad’s Certificate in Business Analytics from IITB  on “Applying Business Analytics” can help you enhance your business performance and drive growth. Since the course is conducted 100% online, it doesn’t require you to compromise focus on business operations. So, book your seat now and avail the benefit of learning from world-class faculty and industry experts for the next seven months!

You can also check out IIT Delhi Program in Business Analytics. IIT Delhi is one of the top institutes in India and also one of the oldest IIT’s and is always excelled in giving highly industry-relevant courses, Now IIT Delhi has partnered with upGrad to get these top IIT Delhi courses online. They have a variety of other programs like Machine Learning, Executive Management Programme in Strategic Innovation, Digital Marketing and Business Analytics etc.

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