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Business Analytics

Course type:
E-learning
Duration:

12 hours

Delivery:
Online
Feefo rating

Business Analytics E-learning

The Business Analytics with Excel training course has been designed to introduce you to the world of analytics by using the most commonly used analytics tool - Microsoft® Excel. It provides an excellent foundation of concepts and skills needed in the analytics field by teaching you how to understand data and make data-driven decisions.

Course overview

About the course

The Business Analytics with Excel training course will boost your analytics career with powerful new Excel skills. You'll learn the basic theory of data analysis and statistics but the course will also delve into the statistical concepts that are important in acquiring insights from available data in order to present findings using executive level dashboards. 

You will also become trained in Power BI, currently the best tool provided by Microsoft for data analytics and visualisation, so you can better represent and present your data analysis findings. Your new knowledge of these two commonly used tools combined with official business analytics certification is guaranteed to boost your career.

What's covered?

The course has the following modules:

  • Lesson 1 - Introduction to business analytics 
  • Lesson 2 - Conditional formatting and important functions 
  • Lesson 3 - Analysing data with pivot tables 
  • Lesson 4 - Dashboarding 
  • Lesson 5 - Business analytics with Excel 
  • Lesson 6 - Data analysis using statistics 
  • Lesson 7 - Power BI

There are two projects included in this course:

  • Project 1 (submission and evaluation) - E-commerce. The analytics team of an online e-commerce company wants to design a sales dashboard to analyse the sales based on various product categories. The company’s main interest is to add user control for product category, so they can select a category and then see the trend by month and product. The analytics team also wants to create a histogram to analyse the number of shipping days.
  • Project 2 (practice) – Pharmaceuticals and healthcare. The analytics team of a pharmaceutical company wants to design a dashboard to analyse the sales of products across various regions and brands. They need a chart with user control functionality to enable users to easily see the total sales and commissions paid to external agents as categorised by brands and region.

Duration

12 hours

Target audience

Business Analytics with Excel is a great course for both beginners and experienced professionals who are inexperienced or have recently stepped into the field of analytics. This course is beneficial for:

  • IT developers and testers
  • Data analysts
  • Junior data scientists
  • Analytics professionals
  • BI and reporting professionals
  • Project managers
  • Students
  • Professionals working with data in any industry

Pre-requisites

There are no prerequisites for this business analytics course other than an analytical mindset. However, it's expected to have a basic knowledge of working with Microsoft Excel.

Learning objectives

By the end of the course you will be able to:

  • Understand the meaning of business analytics and its importance in the industry
  • Grasp fundamentals of Excel analytics functions and conditional formatting
  • Learn how to use pivot tables and slices for analysing complex datasets 
  • Resolve theoretical and analytical problems using tools like scenario manager, solver and goal seek
  • Apply statistical tools and concepts like moving average, hypothesis testing, ANOVA and regression to data sets using Excel
  • Represent your findings using charts and dashboards

What's included?

Business Analytics is offered by Simplilearn, a partner of ILX Group.

Materials

  • 2 hands-on industry-based projects on healthcare and e-commerce
  • 8 practical exercises

Duration of access

12 months online access to accredited e-learning

Exam information

In order to get certified in business analytics with excel, you must complete and submit the evaluation project. Problem statements, along with data points, are provided, and projects will be submitted for evaluation by the course trainer through LMS.

Through online self-learning, you must complete 85% of the course and complete one project.