Business Analytics Expert - Master's Program
The Business Analytics Expert program is designed to hone your expertise in data analytics and help you master the implementation of data science concepts such as data exploration, visualization and hypothesis testing. Our Business Analytics course will train you to apply statistics and predictive analytics techniques in a business environment, transforming you to become job-ready.
List of Courses
  • Business Analytics with Excel
  • Data Science Certification Training - R Programming
  • Tableau Desktop 10 Qualified Associate Training
  • Data Science with Python
  • Data Science with SAS Training
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Price : $ 1299
Course Description
What are the course objectives?

Simplilearn’s Business Analytics Expert master’s program will provide you with extensive expertise in data analytics. With this Business Analytics Expert course, you will learn to master statistical and analytical tools such as hypothesis testing, clustering, decision trees, data visualization, regression models, data blending, data extracts, R Studio, ad-hoc analytics, heat map, tree map, Waterfall, Pareto, Gantt charts, and forecasting.

Special focus has been placed on predictive analytics like regression, clustering, and smoothening techniques. The course will also give you expertise in business visualization techniques using Tableau and Power BI. You will gain skills to build visualizations, organize data and design dashboards. The entire learning experience is tied together with demos and projects to be executed on CloudLabs/Virtual Machines. After completing all aspects of the training, you will be prepared for the role of business analyst.



Tools/ Language covered


Business analytics with Excel

Microsoft Excel & Power BI

Designed for beginners, this course imparts skills to apply statistical concepts and perform data visualization using features of Microsoft Excel pivot tables, formatting, functions, and Power BI

Data science with R



Packed with advanced analytics techniques and real-life projects, this course provides an in-depth knowledge of business analytics using R

Tableau Desktop 10 qualified associate training program

Tableau Desktop 10

The course is designed to provide strong business intelligence and data visualization skills using Tableau Desktop 10.

Data Science with Python


The course makes you an expert in data analytics, machine learning, and web scraping using Python.

Data Science with SAS


Packed with advanced analytics techniques and real-life projects, this course provides an in-depth knowledge of business analytics using SA


Recommended Learning Path:

Why become a Business Analytics Expert?

Data is of paramount importance for the digital economy. Analytics professionals are in high demand in the current market is forecast to grow substantially over the next few years.

What projects are included in this course?

This Business Analytics Expert Master’s program includes 15+ real-life, industry-based projects on different domains to help you master concepts of business analytics and intelligence, such as decision trees, data visualization, data blending, and more. Projects are as follow:

Project 1: Examine how large companies like Amazon and Flipkart make use of business intelligence tools to perform category analysis.
Project Title: Category Performance Analysis
Description: According to the Performance Evaluation Program, the subcategories yielding consistent profit for the last four years are awarded the Best Performing Subcategories. Help the manager identify the top subcategories based on profits and use advanced dashboard features to portray a complete picture for subcategory sales.

Project 2: Learn how stock markets like NASDAQ, NSE and BSE, leverage data science and analytics to arrive at consumable data from complex datasets.
Domain: Stock Market
Description: As a part of the project, you will import data using Yahoo data reader for the following companies: Yahoo, Apple, Amazon, Microsoft and Google. Perform fundamental analytics including plotting closing price, plotting stock trade by volume, performing daily return analysis, and using pair plot to show the correlation between all stocks.

Project 3: See how banks like Citigroup, Bank of America, ICICI and HDFC make use of data science to stay ahead of the competition.
Domain: Banking
Description: A Portuguese banking institution ran a marketing campaign to convince potential customers to invest in a bank term deposit. Their marketing campaigns were conducted through phone calls, and sometimes the same customer was contacted more than once. Your job is to analyze the data collected from the marketing campaign.

Project 4: Learn how leading healthcare industry leaders make use of data science to leverage their business.
Domain: Health Care
Description: Predictive analytics can be used in healthcare to mediate hospital readmissions. In healthcare and other industries, predictors are most useful when they can be transferred into action, but historical and real-time data alone are worthless without intervention. More importantly, to judge the efficiency and value of forecasting a trend and ultimately changing behavior, both the predictor and the intervention must be integrated back into the same system and workflow where the trend originally occurred.

Project 5: Understand how leading retail companies like Walmart, Amazon and Target make use of data science to analyze and optimize their product placements and inventory.
Domain: Retail
Description: Analytics is used in optimizing product placements on shelves or optimization of inventory to be kept in the warehouses using industry examples. Through this project, participants learn the daily cycle of product optimization from the shelves to the warehouse. This gives them insights into regular occurrences in the retail sector.

Project 6: Understand how insurance leaders like Berkshire Hathaway, AIG and AXA make use of data science by working on a real-life insurance-based project.
Domain: Insurance
Description: Use of predictive analytics has increased greatly in insurance businesses, especially for the biggest companies, according to the 2013 Insurance Predictive Modeling Survey. While the survey showed an increase in predictive modeling throughout the industry, all respondents from companies that write over $1 billion in personal insurance employ predictive modeling, compared to 69% of companies with less than that amount of premium.

Business Analytics With Excel

Business Analytics with excel training has been designed to help initiate you to the world of analytics. For this we use the most commonly used analytics tool i.e. M icrosoft Excel. The training will equip you with all the concepts and hard skills required to kick start your analytics career. If you already have some experience in the IT or any core industry, this course will quickly teach you how to understand data and take data driven decisions relative to your domain using Microsoft excel. For a new-comer to the analytics field, this course provides the best required foundation. The training also delves into statistical concepts which are important to derive the best insights from available data and to present the same using executive level dashboards. Finally we introduce Power BI, which is the latest and the best tool provided by Microsoft for analytics and data visualization

Data Science Certification Training - R Programming

Become an expert in data analytics using the R programming language in this data science certification training course. You’ll master data exploration, data visual ization, predictive analytics and descriptive analytics techniques with the R language. With this data science course, you’ll get hands-on practice by implementing various real-life, industry-based projects in the domains of healthcare, retail, insurance, and many more.

Tableau Desktop 10 Qualified Associate Training

This Tableau training course will help you master the Tableau Desktop 10 data visualization and reporting tool. You’ll learn how to build visualizations, organize data, and design dashboards to empower more meaningful business decisions. And you’ll be exposed to the concepts of statistics, data mapping and establishing data connections. The course includes four industry-based projects and two simulation exams to prepare you for the Tableau Desktop 10 Qualified Associate certification.

Data Science With Python

This Data Science with Python course will establish your mastery of data science and analytics techniques using Python. With this Python for Data Science Course, you ’ll learn the essential concepts of Python programming and gain deep knowledge in data analytics, machine learning, data visualization, web scraping and natural language processing. Python is a required skill for many data science positions, so jumpstart your career with this interactive, hands-on course.

Data Science With SAS Training

In this SAS Certification Training, you’ll become an expert in analytics techniques using the SAS data science tool. You’ll learn how to apply data manipulation and optimization techniques; advanced statistical concepts like clustering, linear regression, and decision trees; data analysis methods to solve real-world business problems and predictive modelling techniques. This SAS Certification course will give you practical knowledge you can apply on your next data analysis job.

Course Advisor

Paul Sharkov - Data Scientist at BMO Financial Group, Member of SAS Canada Community

Paul is lead SAS Data Scientist at Bank of Montreal. As a SAS Certified Predictive Modeler, SAS Statistical Business Analyst, and SAS Certified Advanced Programmer, Paul is passionate about sharing his knowledge on how data science can support data-driven business decisions.

Mike Tamir - No. 1 AI & Machine Learning Influencer, Head of Data Science - Uber ATG

?Named by Onalytica as the No.1 influencer in AI & Machine Learning space, Mike serves as Head of Data Science for Uber ATG self-driving engineering team and as UC Berkeley data science faculty.

Ronald van Loon - Top 10 Big Data & Data Science Influencer, Director - Adversitement

Named by Onalytica as one of the three most influential people in Big Data, Ronald is also an author for a number of leading Big Data and Data Science websites, including Datafloq, Data Science Central, and The Guardian. He also regularly speaks at renowned events.

Alvaro Fuentes - Founder and Data Scientist at Quant Company

Alvaro is a Data Scientist who founded Quant Company and has also worked as a lead Economic analyst in the Central Bank of Guatemala. He is a M.S. in Quantitative Economics and Applied Mathematics and is actively involved in consulting and training in the data science space.