Business Analytics Complete Course

Business Analytics Complete Course, available at $64.99, has an average rating of 4.24, with 48 lectures, based on 692 reviews, and has 17184 subscribers.

You will learn about Business Analytics Career in Analytics Population and Sample Center Tendency Percentile Distribution Organizing Data Bubble Chart Excel Pivots Correlation Regression Hypothesis Testing Multiple Linear Regression Multicollinearity Logistic Regression Segmentation Clusters Decision Trees Time series Analysis & Forecasting This course is ideal for individuals who are Candidates interested in business analytics or Graduate Or Postgraduates or Working Professionals or Business Analyst or IT Professionals or Managers It is particularly useful for Candidates interested in business analytics or Graduate Or Postgraduates or Working Professionals or Business Analyst or IT Professionals or Managers.

Enroll now: Business Analytics Complete Course

Summary

Title: Business Analytics Complete Course

Price: $64.99

Average Rating: 4.24

Number of Lectures: 48

Number of Published Lectures: 48

Number of Curriculum Items: 48

Number of Published Curriculum Objects: 48

Original Price: ₹7,900

Quality Status: approved

Status: Live

What You Will Learn

Business Analytics
Career in Analytics
Population and Sample
Center Tendency
Percentile
Distribution
Organizing Data
Bubble Chart
Excel Pivots
Correlation
Regression
Hypothesis Testing
Multiple Linear Regression
Multicollinearity
Logistic Regression
Segmentation
Clusters
Decision Trees
Time series Analysis & Forecasting

Who Should Attend

Candidates interested in business analytics
Graduate Or Postgraduates
Working Professionals
Business Analyst
IT Professionals
Managers

Target Audiences

Candidates interested in business analytics
Graduate Or Postgraduates
Working Professionals
Business Analyst
IT Professionals
Managers

Business Analytics is a systematic and methodical presentation of data of any organization which is driven out of statistical and numerical analysis. Business analytics is a method which is used by the majority of companies today in order to make decision making effective and efficient. Thus, Business analytics course is a course which helps the students to learn the need and use of business analytics.

Business Analytics serves as a systematic process which is a combination of data analytics and Business Intelligence on the basis of which companies rely on their process of management, I.e. Planning for future goals, controlling the combination of capital and manpower, organizing the process in an efficient way possible, coping up with future-oriented goals and making analysis on the basis of Business Analytics.

Business Analytics is a continuous process which involves collection, processing and analysing the business data and operations, and with the help of statistical models and ideologies, transforming the outcome into business insights. The insights lead to improve the efficiency of the organization to achieve its objectives and early adaption of prone to complications. So, Business Analytics is a systematic presentation of data through which the company achieve their goals and get first-mover advantage in the industry.

Business Analyticsprepares students In developing their skills in making business strategies and formulating plans of how to conduct a systematic analysis of organization data and evaluating the best possible outcome that will lead to achieving organizational objectives. Business Analytics is a subset of Business intelligence and specifically focuses on implementing the identified goals into actions. Business intelligence is generally descriptive in nature which provides tools and methods to identify, categorize and analyse raw data and compares with past and current operations.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction – What is Analytics, Benefits from Analytics

Lecture 2: Analytics vs Reporting, Analytics Use Cases Part 1

Lecture 3: Analytics vs Reporting, Analytics Use Cases Part 2

Lecture 4: Analytics Case Studies Part 1

Lecture 5: Analytics Case Studies Part 2

Lecture 6: Analytics Emerging Trends

Lecture 7: Career in Analytics

Chapter 2: Statistics for Business Analytics

Lecture 1: Introduction to Statistics

Lecture 2: Population and Sample, Descriptive and Inferential Statistics

Lecture 3: Central Tendency and Dispersion Measures Part 1

Lecture 4: Percentile Concepts

Lecture 5: Exercises using Excel

Lecture 6: Distributions (Normal, Skewed and Uniform)

Chapter 3: Organizing and Graphing Data

Lecture 1: Organizing and Graphing Data

Lecture 2: Bubble Chart

Lecture 3: Assignments 1 and 2

Lecture 4: Excel Pivots Part 1

Lecture 5: Excel Pivots Part 2

Lecture 6: Assignment 3

Chapter 4: Correlation and Regression

Lecture 1: Correlation Concepts and Exercises Part 1

Lecture 2: Correlation Concepts and Exercises Part 2

Lecture 3: Regression Concepts and Exercises Part 1

Lecture 4: Regression Concepts and Exercises Part 2

Lecture 5: Assignments 4 and 5

Chapter 5: Hypothesis Testing

Lecture 1: Re-cap concepts of Dispersion

Lecture 2: Hypothesis Testing Concepts with Examples Part 1

Lecture 3: Hypothesis Testing Concepts with Examples Part 2

Chapter 6: Multiple Regression

Lecture 1: Multiple Regression through Exercises Part 1

Lecture 2: Multiple Regression through Exercises Part 2

Lecture 3: Multicollinearity Concept & its impact

Lecture 4: Assignment 6

Chapter 7: Logistic Regression

Lecture 1: Logistic Regression

Lecture 2: Logistic Regression Part 2

Chapter 8: Segmentation

Lecture 1: Introduction to Segmentation

Lecture 2: Segmentation Techniques (Cluster Analysis) Part 1

Lecture 3: Segmentation Techniques (Cluster Analysis) Part 2

Lecture 4: Segmentation Techniques (Decision Tree)

Chapter 9: Time Series Analysis and Forecasting

Lecture 1: Introduction to Time Series

Lecture 2: Forecasting Techniques – Moving Average & Exponential Smoothing Part 1

Lecture 3: Forecasting Techniques – Moving Average & Exponential Smoothing Part 2

Lecture 4: Forecasting Techniques – Double and Triple Exponential Smoothing Part 1

Lecture 5: Forecasting Techniques – Double and Triple Exponential Smoothing Part 2

Chapter 10: Assignment Solutions

Lecture 1: Assignment 1

Lecture 2: Assignment 2

Lecture 3: Assignment 3

Lecture 4: Assignment 4

Lecture 5: Assignment 5

Lecture 6: Assignment 6

Instructors

Edcorner Learning
Be Incredible

Rating Distribution

1 stars: 14 votes
2 stars: 18 votes
3 stars: 114 votes
4 stars: 245 votes
5 stars: 301 votes

Frequently Asked Questions

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

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