Basics of Business Analytics – Using Excel, R and Power BI

Basics of Business Analytics – Using Excel, R and Power BI, available at $49.99, has an average rating of 3.8, with 33 lectures, 5 quizzes, based on 49 reviews, and has 197 subscribers.

You will learn about Understand and evaluate critical business situations and data for decision making Understand statistical concepts, concepts of data mining and business intelligence Understand data and data analytics models Communicate data, understanding basics of Excel, R and Power BI This course is ideal for individuals who are Beginner – Business Analyst It is particularly useful for Beginner – Business Analyst.

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Summary

Title: Basics of Business Analytics – Using Excel, R and Power BI

Price: $49.99

Average Rating: 3.8

Number of Lectures: 33

Number of Quizzes: 5

Number of Published Lectures: 33

Number of Published Quizzes: 5

Number of Curriculum Items: 38

Number of Published Curriculum Objects: 38

Original Price: ₹799

Quality Status: approved

Status: Live

What You Will Learn

Understand and evaluate critical business situations and data for decision making
Understand statistical concepts, concepts of data mining and business intelligence
Understand data and data analytics models
Communicate data, understanding basics of Excel, R and Power BI

Who Should Attend

Beginner – Business Analyst

Target Audiences

Beginner – Business Analyst

This basic course intends to build concepts that a budding business analyst requires. You will be taken through a journey from basic statistical analysis, through basics of R, power BI as a visualization tool, to predictive analytics. I intend to provide you a classroom like teaching which takes place at a slow pace so that you are able to grasp concepts and practice on your end and apply the concepts on any other dataset.

After you go through this course, you will be able to :

1) Demonstrate leadership skills.

2) You will be able to impact of managerial decisions in terms of business data and analysis.

3) You will be able to adept at analyzing and applying theoretical constructs to diverse business scenarios both as individuals and working as teams.

4) Identify business problems, think logically, analyze and make visualization reports.

5) You will become comfortable using R, Power BI and Excel.

6) You will have strong conceptual knowledge base in areas of Business Analytics.

7) You will inculcate a sense of critical thinking skills in application of Data Analytics and Predictive Modelling.

8) Students will get trained in strategic techniques

9) To imbibe and nurture critical thinking to Big Data Analytics among future managers.

10) To understand and relate Business Models for organizational performance.

Course Curriculum

Chapter 1: Some basic concepts in Statistics

Lecture 1: What is Business Analytics ?

Lecture 2: Descriptive or Univariate Statistics

Lecture 3: Measures of Central Tendency

Lecture 4: Measures of Dispersion

Lecture 5: Measures of Location

Lecture 6: Measures of Asymmetry

Lecture 7: Line Plot

Chapter 2: Hypothesis Testing Using Various Tests

Lecture 1: Covariance and Correlation

Lecture 2: Histogram

Lecture 3: Boxplot

Lecture 4: Inferential Statistics and t-Test

Lecture 5: Analysis of Variance (ANOVA)

Lecture 6: Chi Squared Test – Part I

Lecture 7: Chi Squared Test – Part II

Lecture 8: Paired Sample t-Test

Chapter 3: Predictive Modelling – Multiple Linear Regression and Binary Logistic Regression

Lecture 1: Regression Basics

Lecture 2: Regression Example

Lecture 3: Binary Logistic Regression

Chapter 4: Introduction to R – Basics and Exploratory Data Analysis

Lecture 1: How to download Rstudio ?

Lecture 2: Session 01 – Rstudio – Part I

Lecture 3: Session 01 – Rstudio – Part II

Lecture 4: Session 02 – Rstudio – aggregate function and t-Test

Lecture 5: Session 03 – Rstudio

Lecture 6: Linear Regression using R

Lecture 7: Binary Logistic Regression using R – Part I

Lecture 8: Binary Logistic Regression using R – Part II

Chapter 5: Time Series Analysis and Forecasting Techniques

Lecture 1: Time Series Analysis Using R – Part I

Lecture 2: Time Series Analysis Using R – Part II

Chapter 6: Power BI

Lecture 1: How to install Power BI ?

Lecture 2: Power BI – Line Plot

Lecture 3: Power BI – Bar Plot

Lecture 4: Power BI – Scatterplot and Waterfall Chart

Lecture 5: Power BI – Cards

Instructors

Soumyajit Halder
Operations Manager

Rating Distribution

1 stars: 1 votes
2 stars: 2 votes
3 stars: 13 votes
4 stars: 11 votes
5 stars: 22 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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