Business Analytics


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Learners
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This online training course is meticulously designed to provide a comprehensive understanding of Business Analytics. The course begins with the emphasis on the Importance of Analytics and moves onto introducing basic Statistical concepts & Data visualizations using Excel
Course Faculty
UpskillCareer
UpskillCareer
A renowned analytics training institute more>>
Course Offerings
51 Lecture Topics
11+ Hours of Video Lectures
Interactive Discussion Forum
11+ Course Files
Course Completion Certificate
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  • 180 Days access to HD Video Lecture delivered by industry experts
  • Interactive Discussion Forum for solving queries.
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Course Overview
This online training course is meticulously designed to provide a comprehensive understanding of Business Analytics. The course begins with the emphasis on the Importance of Analytics and moves onto introducing basic Statistical concepts & Data visualizations using Excel. Later, advanced topics such as Correlation, Linear/Logistic Regression, Segmentation and Time Series Analysis are thoroughly discussed with Case-studies & exercises.

Hands-on Analytics experience is guaranteed as we solve various Case-studies, Exercises and Assignments throughout the course.
Course Curriculum
--- 1. Introduction to Business Analytics
1 Introduction to course, Course Objective and Overview of Topics 11:11
2 What is Analytics, Benefits from Analytics Preview 13:07
3 Analytics vs Reporting, Analytics Use Cases Part 1 16:55
4 Analytics vs Reporting, Analytics Use Cases Part 2 15:45
5 Listen from Experts on Analytics 07:16
6 Analytics Case Studies Part 1 09:29
7 Analytics Case Studies Part 2 17:10
8 Analytics Emerging Trends (Big Data) 08:35
9 Career in Analytics 05:25
--- 2. Statistics for Business Analytics
10 Introduction to Statistics 06:40
11 Population and Sample, Descriptive and Inferential Statistics 15:53
12 Central Tendency and Dispersion Measures Part 1 18:09
13 Central Tendency and Dispersion Measures Part 2 20:48
14 Exercises using Excel 09:05
15 Distributions (Normal, Skewed and Uniform) 15:42
--- 3. Organizing and Graphing Data
16 Excel Graphs with Exercises Part 1 10:10
17 Excel Graphs with Exercises Part 2 13:40
18 Assignments 1 and 2 06:36
Assignment 1-2 Questions  
19 Excel Pivots Part 1 16:55
20 Excel Pivots Part 2 19:13
21 Assignment 3 04:10
Assignment 3 Questions  
--- 4. Correlation and Regression
22 Correlation Concepts and Exercises Part 1 18:12
23 Correlation Concepts and Exercises Part 2 20:00
24 Regression Concepts and Exercises Part 1 21:23
25 Regression Concepts and Exercises Part 2 16:09
26 Assignments 4 and 5 01:48
Assignment 4-5 Questions  
--- 5. Hypothesis Testing
27 Re-cap concepts of Dispersion 18:16
28 Hypothesis Testing Concepts with Examples Part 1 14:41
29 Hypothesis Testing Concepts with Examples Part 2 20:13
--- 6. Multiple Regression
30 Multiple Regression through Exercises Part 1 16:11
31 Multiple Regression through Exercises Part 2 15:51
32 Multicollinearity Concept & its impact 19:20
33 Assignment 6 01:35
Assignment 6 Questions  
--- 7. Logistic Regression
34 Logistic Regression Concepts Part 1 11:16
35 Logistic Regression Concepts Part 2 18:20
--- 8. Segmentation
36 Introduction to Segmentation 13:35
37 Segmentation Techniques (Cluster Analysis) Part 1 21:10
38 Segmentation Techniques (Cluster Analysis) Part 2 18:17
39 Segmentation Techniques (Decision Tree) 14:43
--- 9. Time Series Analysis and Forecasting
40 Introduction to Time Series 21:15
41 Forecasting Techniques - Moving Average & Exponential Smoothing Part 1 23:07
42 Forecasting Techniques - Moving Average & Exponential Smoothing Part 2 10:56
43 Forecasting Techniques - Double and Triple Exponential Smoothing Part 1 13:54
44 Forecasting Techniques - Double and Triple Exponential Smoothing Part 2 17:09
--- 10. Assignment Solutions
45 Assignment 1 03:52
46 Assignment 2 09:55
47 Assignment 3 09:03
48 Assignment 4 04:29
49 Assignment 5 02:50
50 Assignment 6 08:55
Assignment 1-3 with solutions  
Assignment 4-5 with solutions  
Assignment 6 with solutions  
--- 11. Excels related to Exercises solved in the class
51 Excels related to Exercises solved in the class 00:05
Graphs and Pivot Table - Excercise  
Correlation & Regression - Exercise  
Multiple Regression and Logistic Regression - Exercise  
Time Series Forecasting - Exercise  
Final Exam - Business Analytics  
Eligibility Criteria
Any Individual who is interested in pursuing their career in Analytics can take this course. No prior knowledge of analytics is required since the course covers the fundamentals. The tools used during the course are Excel and SAS for key Statistical concepts.
Ratings & Reviews
Mr. Uma Shankar Mohanty
Management Consultant, MaGC
Good
Vijayakrishna Rapaka E
Professor, RGCET Puducherry
good course and excellent lecture
Mr. Abrar Iqbal Khalfe
3.5, 3.5
Ok
Mr. Abrar Iqbal Khalfe
3.5, 3.5
Nice
BATCHU SRIKAR
AIX Administrator, IBM India Pvt. Ltd.
Good One
CHANAKYA PALLEM
Student, Andhra University
The course content and the faculty classes are good enough to enjoy the online class with a blend of nice examples
D SURESH
Assistant Professor/SAP PS Freelancer, Kongu Engineering College
Excellent
Sri lalitha
It's a great course
Devavarna
grt doing this course...enjoyed and learnt a lot
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Course Expert
UpskillCareer
UpskillCareer
UpskillCareer is a Training Institute run by a group of individuals having graduated from reputed institutes (BITS,IIT,IIM) and with 10+ years of professional experience in IT, Consulting and Analytics. Teaching is their passion and they share knowledge through providing high quality and cost effective online trainings. The courses are innovatively designed to equip college graduates, professionals and career changers to pursue challenging and rewarding career opportunities.
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