Statistics for Business Analytics using MS Excel
- Description
- Curriculum
- FAQ
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You’re looking for a complete course on understanding Statistics for Business Analytics, right?
You’ve found the right Statistics for Business Analytics using MS Excel course! This course will teach you data-driven decision-making and the use of analytical and statistical methods in business settings.
After completing this course you will be able to:
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Understand how to formulate a business problem as an analytics problem
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Summarize business data into tables and charts to communicate information effectively
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Make predictive machine learning model to predict business outcomes
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Use statistical concepts to reach business decisions
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Interpret the results of statistical models for formulating strategy
How this course will help you?
A Verifiable Certificate of Completion is presented to all students who undertake this course on Statistics for Business Analytics in Excel.
If you are a business manager, or business analyst or an executive, or a student who wants to learn Statistics concepts and apply analytics techniques to real-world problems of the Business business function, this course will give you a solid base for Statistics and Analytics by teaching you the most popular Business analysis models and how to implement it them in MS Excel.
Why should you choose this course?
We believe in teaching by example. This course is no exception. Every Section’s primary focus is to teach you the concepts through how-to examples. Each section has the following components:
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Theoretical concepts and use cases of different Statistical models required for evaluating business models
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Step-by-step instructions on implementing business models in MS Excel
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Downloadable Excel files containing data and solutions used in MS Excel
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Class notes and assignments to revise and practice the concepts in MS Excel
The practical classes where we create the model for each of these strategies are something that differentiates this course from any other course available online.
What makes us qualified to teach you?
The course is taught by Abhishek (MBA – FMS Delhi, B. Tech – IIT Roorkee) and Pukhraj (MBA – IIM Ahmedabad, B. Tech – IIT Roorkee). As managers in the Global Analytics Consulting firm, we have helped businesses solve their business problems using Analytics and we have used our experience to include the practical aspects of analytics in this course. We have in-hand experience in Business Analysis and MS Excel.
We are also the creators of some of the most popular online courses – with over 600,000 enrollments and thousands of 5-star reviews like these ones:
This is very good, i love the fact the all explanation given can be understood by a layman – Joshua
Thank you Author for this wonderful course. You are the best and this course is worth any price. – Daisy
Our Promise
Teaching our students is our job and we are committed to it. If you have any questions about the course content, practice sheet, or anything related to any topic, you can always post a question in the course or send us a direct message.
Download Practice files, take Quizzes, and complete Assignments
With each lecture, there are class notes attached for you to follow along. You can also take quizzes to check your understanding of concepts like Business Statistics and Analytics in MS Excel. Each section contains a practice assignment for you to practically implement your learning on Business Analysis in MS Excel.
What is covered in this course?
The analysis of data is not the main crux of analytics. It is the interpretation that helps provide insights after the application of analytical techniques that makes analytics such an important discipline. We have used the most popular analytics software tool which is MS Excel. This will aid the students who have no prior coding background to learn and implement Statistics and Analytics concepts to actually solve real-world problems of Business Analysis.
Let me give you a brief overview of the course
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Part 1 – Excel for data analytics
In the first section, i.e. Excel for data analytics, we will learn how to use excel for data-related operations such as calculating, transforming, matching, filtering, sorting, and aggregating data.
We will also cover how to use different types of charts to visualize the data and discover hidden data patterns.
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Part 2 – Statistics foundations for business analysts
Then, in the second section, i.e. Statistics foundations for business analysts, we will start learning about the core concepts of Business Analytics i.e. probability and probability distribution. We will look at important probability distributions used in a business setting such as Normal distribution, Poisson distribution, Exponential distribution, Binomial distribution etc
These concepts form the foundation of data analytics, machine learning, and deep learning.
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Part 3 – Statistical Decision making
Once we have covered the basics of probability, in the 3rd section, i.e. Statistical Decision making we will discuss some advanced concepts related to sample testing i.e. hypothesis testing.
These are the concepts that differentiate a beginner from a pro!
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Part 4 – Optimizing Business Models
In the fourth section, i.e. Optimizing Business Models we will learn how to solve common business problems with the help of excel’s data analytics tools such as solver, goal seek, scenario manager, etc.
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Part 5 – Preprocessing Data for ML models
In this section, you will learn what actions you need to take step by step to get the data and then prepare it for analysis, these steps are very important. We start with understanding the importance of business knowledge then we will see how to do data exploration. We learn how to do uni-variate analysis and bivariate analysis then we cover topics like outlier treatment, missing value imputation, variable transformation, and correlation.
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Part 6 – Linear regression model for predicting metrics
This section starts with simple linear regression and then covers multiple linear regression.
We have covered the basic theory behind each concept without getting too mathematical about it so that you understand where the concept is coming from and how it is important. But even if you don’t understand it, it will be okay as long as you learn how to run and interpret the result as taught in the practical lectures.
I am pretty confident that the course will give you the necessary knowledge on Business Statistics and Business Analysis using MS Excel, and the skillsets of a Business Analyst to immediately see practical benefits in your workplace.
Go ahead and click the enroll button, and I’ll see you in lesson 1 of this Statistics for Business Analytics course!
Cheers
Start-Tech Academy
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3MilestoneVideo lesson
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4Basic Formula OperationsVideo lesson
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5Important Excel Functions - Sum, Average, Concatenate, TrimVideo lesson
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6Important Excel Functions- Vlookup, If, Count If, Sum ifVideo lesson
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7Sorting, Filtering and Data ValidationVideo lesson
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8Text-to-columns and remove duplicatesVideo lesson
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9Advanced Filter optionVideo lesson
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10Pivot TablesVideo lesson
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11QuizQuiz
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12Probability module - IntroductionVideo lesson
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13Basics of probabilityVideo lesson
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14Calculating Probability in Excel - Part 1Video lesson
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15Calculating Probability in Excel - Part 2Video lesson
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16Important laws of probabilityVideo lesson
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17Implementing laws of probability in ExcelVideo lesson
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18QuizQuiz
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30Continuous probability distribution - IntroductionVideo lesson
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31Uniform continuous probability distributionVideo lesson
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32Normal distributionVideo lesson
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33Normal distribution - PracticalVideo lesson
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34Exponential distributionVideo lesson
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35Exponential distribution - PracticalVideo lesson
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36QuizQuiz
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37Module IntroductionVideo lesson
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38Sampling and Types of SamplingVideo lesson
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39Point EstimationVideo lesson
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40Excel - How to do random samplingVideo lesson
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41Excel - Point EstimationVideo lesson
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42Sampling DistributionsVideo lesson
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43Excel - Demo of key resultsVideo lesson
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44Interval EstimationVideo lesson
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45Excel - Interval Estimation for meanVideo lesson
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46Excel - Interval Estimation for proportionVideo lesson
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47How to determine sample size?Video lesson
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48Sample case studyVideo lesson
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49QuizQuiz
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50What is Hypothesis testing?Video lesson
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51Type 1 and Type 2 errorsVideo lesson
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52The process of hypothesis testing Part-1Video lesson
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53The process of hypothesis testing Part-2Video lesson
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54How to find the p-value?Video lesson
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55Excel - Statistical Formulas for T distributionVideo lesson
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56Excel - Statistical Formulas for Z distributionVideo lesson
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57Vaccination case studyVideo lesson
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58Ecommerce site case studyVideo lesson
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59QuizQuiz
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60Module introductionVideo lesson
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61Goal-seek and Scenario Manager in ExcelVideo lesson
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62Solver in ExcelVideo lesson
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63Different Solving methods of Excel SolverVideo lesson
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64QuizQuiz
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65Solving a Transportation problemVideo lesson
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66Price SkimmingVideo lesson
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67Excel - Price Skimming modelVideo lesson
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68Concept of Customer lifetime ValueVideo lesson
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69Excel - Calculating customer lifetime valueVideo lesson
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70Module introductionVideo lesson
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71Gathering Business KnowledgeVideo lesson
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72Data ExplorationVideo lesson
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73The Data and the Data DictionaryVideo lesson
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74Univariate analysis and EDDVideo lesson
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75Discriptive Data Analytics in ExcelVideo lesson
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76Outlier TreatmentVideo lesson
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77Identifying and Treating Outliers in ExcelVideo lesson
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78Missing Value ImputationVideo lesson
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79Identifying and Treating missing values in ExcelVideo lesson
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80Variable Transformation in ExcelVideo lesson
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81Dummy variable creation: Handling qualitative dataVideo lesson
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82Dummy Variable Creation in ExcelVideo lesson
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83Correlation AnalysisVideo lesson
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84Creating Correlation Matrix in ExcelVideo lesson
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85QuizQuiz
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