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Online Training Course on Business Analytics - become a Data Scientist (Business Analytics)

Business Analytics

161 learners in this course
(10)
RATINGS
8
REVIEWS
Course Faculty
 UpskillCareer
A renowned analytics training institute more>>

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Course Offerings
  51 lecture topics
  11+ hours of video lectures
  Interactive discussion forum
  11+ course files
Special Add-ons (Free with Course)
Certificate for Business Analytics - become a Data Scientist (Business Analytics)
Certificate
Course Completion Certificate will be awarded by UpSkillCareer
*Important: Certificate will be awarded only after completion of all video lectures and the Final Exam
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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. 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.
Curriculum
I
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
II
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
III
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  
IV
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  
V
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
VI
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  
VII
Logistic Regression
34 Logistic Regression Concepts Part 1 11:16
35 Logistic Regression Concepts Part 2 18:20
VIII
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
IX
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
X
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  
XI
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  
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.
There are no limitations in accessing our courses. You can assess the courses through the web (ApnaCourse.com) on any device through a web browser or through our Android app available on the Google Play Store.
Most courses are self paced courses with a typical duration of 6 months (180 days) access period. This means, you get 180 access to the course from the moment you enrol into it. You can extend you access by 180 more days at any point during the subscription or post expiration of subscription. Some courses are Live Online Classroom courses that are date and time specific. Please visit the respective course page to know more.
No. If a course access expires, you will have to pay to extend the access. You can view the course pricing in the respective course page
We provide high quality content and personalised services. Our courses are delivered only by Renowned Trainers and Training Institutes. Also, the courses are recorded in state-of-art recording studios to bring in high clarity videos. So why go elsewhere, when you can learn from the Best!
We offer a course completion certificate on most courses. This certificate is jointly given by our partner trainer or training instiute which provided the course.
For any course-related information, please email at support@apnacourse.com or connect on our help line number +91 7353 60 5333.
Yes. We have a career consulting feature on ApnaCourse where a subject matter expert will help you decide the relevant courses for you based on your profile, work experience, interests, career goals etc. To know more about career consulting, click Here.
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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