Business-Intelligence-for-MS-Excel-Certification
Highest Rated

Business Analytics with MS Excel

Business Analytics with MS Excel Certification training is designed to boost your Data analytics career with the new powerful Microsoft Excel skills. The course drives you with the basic concepts of data analysis and statistics, that helps in promoting data-driven decision making. This will make you skilled in Power BI, enabling to visually represent better and present, your data analysis findings. This Business Analytics with MS Excel Training will equip you with all the concepts and skills required for a strong career in Data analytics.
Below are the learning objectives of Business Analytics with MS Excel Certification:

  • On Successful completion of the Business Analytics with Excel Certification course, the participants will get:
  • Understanding of basic statistical concepts and types of data.
  • Understanding of data sampling techniques.
  • Understanding of frequency distributions and measures of central tendency, dispersion and shape.
  • Knowledge of the one-way analysis of variance and correlation.
  • Knowledge of linear regression and linear programming.
  • Knowledge on Optimizing business situations that involve whole numbers, such as employees to deploy.
  • Knowledge on Optimizing business decisions that take multiple input variables to predict between two possible outputs.
  • Understanding of Model decisions under a variety of future uncertain states, depending on the decision maker’s proneness or aversion to risks.
  • Compute the regression model for time series data that has correlation within itself.
  • Optimize business situations where two variables do not move in a linear fashion.
  • Test hypothesis for experiments involving different treatments.
  • Model continuous outcomes that depend on more than one input variable.
  • Group data points dynamically based on the similarities among the members of each group.
  • Master a data mining concept i.e. is combining the data from different sources, cleansing the data and preparing the data for analytics.
  • Understand how to use statistical techniques in real time scenario.
  • Complete understanding of predictive modeling concepts.
  • Learn how to build a complex statistical model, how to test it and how to deploy it.

       

(12,000)
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Business Analytics with MS Excel

Enroll Now
Catogory

Data Science & Business Intelligence

Duration Time

45 hours

Price

Rs. 2000

Business Analytics with MS Excel training has been designed to help initiate you to the world of analytics. 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, Business Analytics with Excel course will quickly teach you how to understand data and make data-driven decisions relative to your domain using Microsoft Excel. For a new-comer to the analytics field, this course provides the required foundation at its best. Microsoft Excel still remains the top Business Intelligence tool in use today, despite other BI tools. You can also notice that, when it comes to buying a BI solution, end users look for the ability of the product to export data to Excel as a major criterion for selection. Since most of the organizations already have highly skilled Excel users, they migrate swiftly to a self-service BI capability and tend to create their own BI solution intuitively without much dependence on IT. In most businesses, irrespective of their size and scale, users prefer Microsoft Excel to perform the analysis. This approach limits the capabilities and the extent to which end users can access enterprise data sources. Not only that, it can compromise data consistency and integrity. Business Analytics with Excel Skills ensures that you get accurate, complete and timely reports from your enterprise system.

Business Analytics with MS Excel Modules


  • What is Analytics?
  • Popular tools
  • Analytics use in different industries
  • Analytics methodology
  • Basic Statistics, Introduction to Measures of Central Tendency, Variation and Shape
  • Types of data & variables
  • Probability
  • Distribution Types
  • Introduction to Confidence Interval Estimate
  • Hypothesis Testing
  • Sampling Distribution
  • Descriptive Statistics
  • Tabular and Graphical Method
  • Summarization Method
  • Introduction to Probability and Distribution
  • Different types of Regression Procedures
  • OLS regression – Introduction to Data modeling
  • Developing and Validating Linear Regression Model
  • Developing and Validating Multiple Regression Model
  • Logistic regression
  • Introduction of R or SAS
  • Data extraction and exploration using R or SAS
  • Understanding of different packages
  • Data visualization and analytics
  • Linear and Multiple regression with Insurance case study
  • Logistic Regression with Banking case study
  • Cluster analysis with Banking case study
  • Time Series Modeling with Automobile case study
  • Market Basket Analysis with Retail case study

Course Outline

  • Introduction to Analytics
    • What is Analytics?
    • Popular tools
    • Analytics use in different industries
    • Analytics methodology
  • Business Analytics:
    • Basic Statistics, Introduction to Measures of Central Tendency, Variation and Shape
    • Types of data & variables
    • Probability
    • Distribution Types
    • Introduction to Confidence Interval Estimate
    • Hypothesis Testing
    • Sampling Distribution
    • Descriptive Statistics
    • Tabular and Graphical Method
    • Summarization Method
    • Introduction to Probability and Distribution
    • Different types of Regression Procedures
    • OLS regression – Introduction to Data modeling
    • Developing and Validating Linear Regression Model
    • Developing and Validating Multiple Regression Model
    • Logistic regression
  • Basic analytics techniques using R or SAS with case studies (choose one)
    • Introduction of R or SAS
    • Data extraction and exploration using R or SAS
    • Understanding of different packages
    • Data visualization and analytics
  • Predictive modeling techniques using R or SAS
    • Linear and Multiple regression with Insurance case study
    • Logistic Regression with Banking case study
    • Cluster analysis with Banking case study
    • Time Series Modeling with Automobile case study
    • Market Basket Analysis with Retail case study

What do I need to do to unlock my Eduinpro certificate?

Online Classroom:

  • Attend one complete batch
  • Successful completion and evaluation of any one of the given projects

Online Self-learning:

  • Complete 85% of the course
  • Successful completion and evaluation of any one of the given projects

Featured Review

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Ankit Prakash

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Generic placeholder image
Ankit Prakash

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FREQUENTLY ASKED QUESTIONS
On Successful completion of the Business Analytics with Excel Course, and submission of the project, the course completion certificate will be issued by EduInPro.
Latest Version of Microsoft Excel is recommended. Power BI - Download free version @ https://powerbi.microsoft.com/en-us/ (make this link no-follow)
Business Intelligence systems offer more possibilities than Excel. They allow to conduct more detailed analysis, search for information easily and present results in a more effective and transparent way. BI ensures the operation on the integrated data from the whole company and gives a high level of safety. Using Business Intelligence system, the company has all the data in one place, not in non-integrated files.
A lot of Business Intelligence systems allows to save the results of report to Excel files. Some of the systems give the opportunity to export not only the whole report but also its individual components, such as tabs, charts, diagrams etc. It is worth asking a question – what for? It makes sense in order to provide the data to external users. Otherwise, the export is superfluous. BI system effectively substitutes Excel functionality and often has more advanced possibilities for data presentation than Excel. (See more: Does Business Intelligence works like Excel?)
All implemented Business Intelligence systems allow to import and export data from Excel – both older and newer versions. Tools used for ETL service have a predefined driver to operate .xls and .xlsx files because it is a very common data source.
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