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Master in Business Analytics

Arun Singhal B-Tech, MBA (IIM-B),Unilever, J&J, Danone, IIMU, Cello

Want to become an Successful Data Analyst or Business Intelligence Analyst but don’t know what to do and how?

Take a look at this course where you will

Read more

Want to become an Successful Data Analyst or Business Intelligence Analyst but don’t know what to do and how?

Take a look at this course where you will

  • Not only learn about the Business Analytics in depth interactively with a lot of examples and case studies including Data Collection, Cleaning, and Preprocessing; Descriptive, Predictive, and Prescriptive Analytics; Developing Technical Skills in Programming, Database Management, Visualization Tools, Statistical Tools but also learn

  • Understanding Business Context and Strategy and Mastering Communication and Storytelling

  • Preview many lectures for free to see the content for yourself

  • Clear your doubts on this topic any time while doing the course

  • Get Udemy’s 30 days Money Back Guarantee

My first comprehensive and in-depth exposure to Business Analytics happened when I was helping IIM Udaipur students prepare to get placed as Data Analysts in 2016

While I had a good understanding of the Business Context and Strategy and Mastering Communication and Storytelling and Statistical Tools from my earlier years of management education and experience, I had to learn all about Data Collection, Cleaning, and Preprocessing; Descriptive, Predictive, and Prescriptive Analytics; Developing Technical Skills in Programming, Database Management, Visualization Tools etc

I continued my learning journey in this rapidly evolving field since then while working with many of my clients in data science and analytics till now

I bring in this course my learnings from this journey and share with you how can you also become a Successful Data Analyst or Business Intelligence Analyst

Preview for yourself many lectures free. If you like the content, enroll for the course, enjoy and skill yourself to become a Master in Business Analytics. If don't like the content, please message about how can we modify it to meet your expectations.

Please remember that this course comes with Udemy’s 30 days Money Back Guarantee

Enroll now

What's inside

Learning objectives

  • What is business analytics
  • How is business analytics different from business analysis
  • What roles can you get after doing business analytics
  • Case studies of excellence in business analytics
  • How to become excellent in business analytics

Syllabus

Introduction

Introduction of the Instructor and the Course

The purpose of this section is to give you an overview of Business Analytics

At the end of this lecture, you will learn the following

•What is Business Analytics?

Read more

Please answer following questions based on learnings in this lecture

At the end of this lecture, you will learn the following

•How is Business Analytics different from Business Analysis?

At the end of this lecture, you will learn the following

•How is Business Analytics different from Data Analytics?

At the end of this lecture, you will learn the following

•How to use SMOTE to handle imbalanced data?

At the end of this lecture, you will learn the following

•What roles can you get after doing Business Analytics

The purpose of this section is to share with the Case Studies of Excellence in Business Analytics

At the end of this lecture, you will learn the following

Overview

At the end of this lecture, you will learn the following

Amazon Case Study

At the end of this lecture, you will learn the following

•Data Preprocessing Automation Tools, Practice and Resources and Real-World Applications

At the end of this lecture, you will learn the following

Netflix Case Study

At the end of this lecture, you will learn the following

Walmart Case Study

At the end of this lecture, you will learn the following

•Hypothesis Testing

The purpose of this section is to give you an overview of how to become excellent in business analytics

At the end of this lecture, you will learn the following

How to become excellent in Business Analytics?

The purpose of this section is to give you an in-depth view of how to master descriptive analytics

At the end of this lecture, you will learn the following

•How to master descriptive analytics?

The purpose of this section is to give you an in-depth view of how to Understand data collection, cleaning, and preprocessing

At the end of this lecture, you will learn the following

•Data Collection

At the end of this lecture, you will learn the following

•Manual Data Collection

At the end of this lecture, you will learn the following

•How to collect data using Automated Tools?

At the end of this lecture, you will learn the following

•How to compute and interpret descriptive statistics?

At the end of this lecture, you will learn the following

•How to use Data Acquisition Tools like Google Analytics?

At the end of this lecture, you will learn the following

•How to use Data Acquisition Tools Like Scrapy?

At the end of this lecture, you will learn the following

•How to use Data Acquisition Tools like SQL?

At the end of this lecture, you will learn the following

•What are the data visualization principles?

At the end of this lecture, you will learn the following

•Let us now look at Data Cleaning

At the end of this lecture, you will learn the following

•Let us now look at Data Preprocessing

At the end of this lecture, you will learn the following

•How to learn Time Series Forecasting?

At the end of this lecture, you will learn the following

•How to use StandardScaler for data standardization

At the end of this lecture, you will learn the following

•How to master tools like Excel, Tableau, Power BI, and Python (Pandas, Matplotlib, Seaborn)

At the end of this lecture, you will learn the following

Label Encoding

At the end of this lecture, you will learn the following

One Hot Encoding

At the end of this lecture, you will learn the following

•Correlation analysis

At the end of this lecture, you will learn the following

How to use Data Aggregation Techniques like Grouping, filtering, pivot tables, and summarizing large datasets

At the end of this lecture, you will learn the following

•How to determine Feature Importance Scores?

At the end of this lecture, you will learn the following

•PCA - Principal Component Analysis

At the end of this lecture, you will learn the following

•Supervised Learning

At the end of this lecture, you will learn the following

•Analyze sales trends, customer behavior, or operational metrics using real-world datasets

At the end of this lecture, you will learn the following

•Create dashboards and reports to communicate insights

The purpose of this section is to give you an in-depth view of how to master predictive analytics

At the end of this lecture, you will learn the following

•Purpose and steps to master predictive analytics

At the end of this lecture, you will learn the following

•Unsupervised Learning

At the end of this lecture, you will learn the following

•Regression Analysis

At the end of this lecture, you will learn the following

How to learn Probability

•Classical Probability

At the end of this lecture, you will learn the following

•Conditional Probability

At the end of this lecture, you will learn the following

•Bayes' Theorem

At the end of this lecture, you will learn the following

Normal Distribution

At the end of this lecture, you will learn the following

•Binominal Distribution

At the end of this lecture, you will learn the following

•Poisson Distribution

•Probability Distribution Comparisons and Examples in Python

At the end of this lecture, you will learn the following

•Real-world applications in risk analysis, A/B testing, and predictive modeling

Save this course

Save Master in Business Analytics to your list so you can find it easily later:
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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Master in Business Analytics with these activities:
Review Descriptive Statistics
Reinforce your understanding of descriptive statistics, a fundamental building block for business analytics.
Browse courses on Descriptive Statistics
Show steps
  • Review key concepts like mean, median, mode, and standard deviation.
  • Practice calculating these statistics on sample datasets.
  • Interpret the meaning of these statistics in a business context.
Review 'Business Analytics: The Science of Data-Driven Decision Making'
Gain a broader and deeper understanding of business analytics principles and methodologies.
View Alter Ego on Amazon
Show steps
  • Read the chapters relevant to the course syllabus.
  • Work through the examples and case studies provided in the book.
  • Compare and contrast the book's explanations with the course materials.
Review 'Storytelling with Data: A Data Visualization Guide for Business Professionals'
Improve your ability to communicate data insights effectively through compelling visualizations.
View Storytelling with You: Plan, Create, and... on Amazon
Show steps
  • Read the book and take notes on key principles of data storytelling.
  • Analyze examples of good and bad data visualizations.
  • Apply the principles to your own data visualization projects.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Practice SQL Queries
Sharpen your SQL skills for data extraction and manipulation.
Show steps
  • Find a website with SQL practice problems (e.g., LeetCode, HackerRank).
  • Work through a series of SQL queries of increasing complexity.
  • Focus on queries related to data aggregation, filtering, and joining tables.
Analyze Sales Data with Python
Apply your knowledge of data analysis and visualization to a real-world sales dataset.
Show steps
  • Obtain a sample sales dataset from Kaggle or another source.
  • Use Python (Pandas, Matplotlib, Seaborn) to clean, analyze, and visualize the data.
  • Identify key trends and insights from the data.
  • Create a report summarizing your findings and recommendations.
Follow a Time Series Forecasting Tutorial
Learn how to forecast future trends using time series analysis techniques.
Show steps
  • Find a comprehensive tutorial on time series forecasting with Python.
  • Follow the tutorial step-by-step, implementing the techniques on a sample dataset.
  • Experiment with different forecasting models and parameters.
  • Evaluate the accuracy of your forecasts.
Build an Interactive Dashboard with Tableau or Power BI
Develop your data visualization skills by creating an interactive dashboard to communicate business insights.
Show steps
  • Choose a relevant dataset (e.g., sales, marketing, customer data).
  • Design and build an interactive dashboard using Tableau or Power BI.
  • Incorporate key performance indicators (KPIs) and visualizations.
  • Present your dashboard to peers and gather feedback.

Career center

Learners who complete Master in Business Analytics will develop knowledge and skills that may be useful to these careers:
Data Analyst
As a data analyst, you'll translate numerical data into plain English. This course helps aspiring data analysts hone their skills in data collection, cleaning, and preprocessing. You will also learn descriptive, predictive, and prescriptive analytics. You'll also develop technical skills in programming, database management, and visualization tools. Through this course, you can better understand business context and strategy. A data analyst with strong communication and storytelling skills will find great success. In particular, the course content on data preprocessing automation tools may be useful.
See salaries and explore the career path for Data Analyst
Business Intelligence Analyst
A business intelligence analyst examines data to understand market and business trends. This course may be useful to anyone who wants to become a business intelligence analyst. You will learn how business analytics differs from business analysis and data analytics. You will also preview case studies of excellence in business analytics. The course emphasizes understanding business context and strategy. It also emphasizes mastering communication and storytelling. The course content on data visualization principles and tools like Tableau and Power BI would be particularly applicable to the role of business intelligence analyst.
See salaries and explore the career path for Business Intelligence Analyst
Data Scientist
Data scientists examine complex data and use it to develop predictions of future outcomes and assist in data-driven decision making. This course may be useful for the aspiring data scientist. This course introduces learners to data collection, cleaning, and preprocessing. It also builds skills in descriptive, predictive, and prescriptive analytics. Data scientists need strong technical skills in programming, database management, and visualization tools. They also greatly benefit from strong communication and storytelling skills. The course's coverage of machine learning techniques may be especially useful.
See salaries and explore the career path for Data Scientist
Business Analyst
A business analyst identifies and analyzes business needs in order to find solutions to business problems. The insights provided by this course may be useful for business analysts. The course covers many topics including data collection, cleaning, and preprocessing; descriptive, predictive, and prescriptive analytics; and developing technical skills in programming, database management, and visualization tools. A business analyst benefits from understanding business context and strategy. This course emphasizes communication and storytelling. The course's overview of business analytics and its differences from business analysis is particularly relevant.
See salaries and explore the career path for Business Analyst
Marketing Analyst
The marketing analyst measures and evaluates the success of marketing programs. This course may be useful for a marketing analyst. Marketing analysts need to collect and analyze data related to marketing campaigns. This course helps build skills in data collection, cleaning, and preprocessing. A marketing analyst benefits from descriptive, predictive, and prescriptive analytics. Marketing analysts will especially benefit from the section on understanding business context and strategy. The course's overview of data acquisition tools such as Google Analytics would be particularly helpful.
See salaries and explore the career path for Marketing Analyst
Financial Analyst
Financial analysts provide guidance to businesses and individuals making investment decisions. This course may be useful for financial analysts as it introduces data collection, cleaning, and preprocessing techniques. The analyst will also benefit from descriptive, predictive, and prescriptive analytics. The skills taught will empower the analyst to make data driven decisions. The financial analyst needs to understand business context and strategy. Anyone in this role will benefit from strong communication and storytelling skills. The course content on regression analysis is particularly relevant to the work of a financial analyst.
See salaries and explore the career path for Financial Analyst
Data Engineer
Data engineers build and maintain the systems that collect, manage, and convert raw data into usable information. This course may be useful to anyone who wants to become a data engineer. The course covers data collection, cleaning, and preprocessing. It also covers developing technical skills in programming and database management. Data engineers benefit from understanding business context and strategy. The course's coverage of data acquisition tools such as SQL and Scrapy is particularly relevant.
See salaries and explore the career path for Data Engineer
Management Consultant
Management consultants help organizations improve their performance by analyzing problems and developing solutions. This course may be useful for management consultants. Management consultants need to understand business context and strategy. The course introduces data collection, cleaning, and preprocessing; descriptive, predictive, and prescriptive analytics; and developing technical skills in programming, database management, and visualization tools. Strong communication and storytelling skills are also vital. The course's case studies of excellence in business analytics are particularly relevant.
See salaries and explore the career path for Management Consultant
Research Analyst
Research analysts conduct research and analyze data to provide insights and recommendations. This course may be useful for a research analyst. The course introduces data collection, cleaning, and preprocessing. It can help develop technical skills in programming, database management, and statistical tools. A research analyst will find the sections on descriptive, predictive, and prescriptive analytics helpful. The course's coverage of hypothesis testing and regression analysis are particularly relevant.
See salaries and explore the career path for Research Analyst
Statistician
Statisticians collect, analyze, and interpret numerical data to identify trends and relationships. A statistician typically requires an advanced degree. This course may be useful for them. The course introduces data collection, cleaning, and preprocessing. It builds skills in descriptive, predictive, and prescriptive analytics. Statisticians require strong technical skills in programming and statistical tools. The course's coverage of hypothesis testing, regression analysis, and probability distributions are particularly relevant.
See salaries and explore the career path for Statistician
Operations Analyst
An operations analyst focuses on improving the efficiency and effectiveness of an organization's operations. This course helps build skills in data collection, cleaning, and preprocessing. It also emphasizes descriptive, predictive, and prescriptive analytics. An operations analyst benefits from understanding business context and strategy. An operations analyst will benefit from programming knowledge and familiarity with database management. Operations analysts will benefit from the course's real-world applications and case studies.
See salaries and explore the career path for Operations Analyst
Risk Analyst
Risk analysts identify and assess potential risks that could impact an organization. This course may be useful for risk analysts as it introduces data collection, cleaning, and preprocessing techniques. This role will benefit from predictive analytics to make data driven decisions. The risk analyst needs to understand business context and strategy. They need to have strong communication skills. The course content on probability distributions is particularly relevant to the work of a risk analyst.
See salaries and explore the career path for Risk Analyst
Supply Chain Analyst
A supply chain analyst examines and optimizes the flow of goods and information within a supply chain. This course may be useful for supply chain analysts. This course helps build skills in data collection, cleaning, and preprocessing. A supply chain analyst greatly benefits from descriptive, predictive, and prescriptive analytics. They need to understand business context and strategy. The course's coverage of data aggregation techniques like grouping, filtering, and summarizing large datasets may be especially useful.
See salaries and explore the career path for Supply Chain Analyst
Pricing Analyst
Pricing analysts determine optimal pricing strategies for products and services. This course may be useful for aspiring pricing analysts. This course helps build skills in data collection, cleaning, and preprocessing. It also may help in descriptive, predictive, and prescriptive analytics. The analyst will benefit from understanding business context and strategy along with communication skills. Pricing analysts will benefit from the course's coverage of regression analysis and its applications in predictive modeling.
See salaries and explore the career path for Pricing Analyst
Database Administrator
Database administrators are responsible for managing and maintaining databases. This course may be useful for database administrators since it covers database management. The course also introduces data collection, cleaning, and preprocessing. The course may help develop technical skills in programming. Database administrators will benefit from understanding business context and strategy. The course's coverage of SQL is particularly relevant.
See salaries and explore the career path for Database Administrator

Reading list

We've selected two books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Master in Business Analytics.
Cover image
Storytelling with You
Save
Focuses on the crucial skill of communicating data insights effectively through storytelling and visualization. It provides practical guidance on creating compelling visuals and narratives that resonate with audiences. Given the course's emphasis on communication and storytelling, this book is highly relevant for mastering this essential aspect of business analytics. It practical guide with many examples.
Storytelling with You: Plan, Create, and Deliver a...
Paperback
$$
Storytelling with You: Plan, Create, and Deliver a...
Kindle Edition
$$
Cover image
Alter Ego
Save
Provides a comprehensive overview of business analytics techniques and their applications. It covers descriptive, predictive, and prescriptive analytics, aligning well with the course syllabus. It serves as a valuable reference for understanding the theoretical underpinnings and practical implementation of various analytical methods. The book is commonly used in business analytics programs and offers a strong foundation for data-driven decision-making.
Alter Ego
Paperback
Check
Alter Ego
Kindle Edition
Check

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Effort
13 total hours
Via
Udemy
Instructor
Arun Singhal B-Tech, MBA (IIM-B),Unilever, J&J, Danone, IIMU, Cello
Language
English
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