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Certification in Data Science in WFM (Next Gen WFM Course)
GWFM Introduces Data Science in WFM 1st Time in the Global Market
Connecting Dots... between WFM & Data Science
Courses are offered on the following Programs
About Course
GWFM Introduces Data Science in WFM 1st Time in the Global Market
Connecting Dots… between WFM & Data Science
Courses are offered in the following Programs
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Certification
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Executive Program
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Post Graduate Certification (PGC)
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Post Graduate Program (PGP)
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MBA
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Fellowship
Basic & Advance level courses are offered
Basic Certification Program- Data Science in WFM
Duration of the Basic Course : 3 months (30 hours followed by assignments) 4 credit program
Course Coverage :
1. Introduction to WFM
2. Introduction to Data Science
3. Basic Terminologies of Data Science
4. Four Types of Data Analytics
5. Introduction to Statistics for Data Science
6. Basic Forecasting Techniques
7. Introduction to R
8. Practical implementation of Basic Forecasting
9. Introduction to Capacity Planning
10 Case Studies and Data science Practice in WFM followed by assignments
Data Science in Workforce Management – Advanced
Duration of the Basic Course: 6 months (60 hours followed by assignments & Project) 7 credit program
Course Coverage :
1. Application of Data Science in Planning
2. Introduction to Python & Tableau
3. Concepts of Data Visualization
4. Advance Statistics for Data Science
5. Advanced Forecasting Techniques
6. Practical implementation of Advanced Forecasting
7. Data-Based Scheduling
8. Introduction to Business Finance
9. Simulation Project using all the above topic
Learning Outcome :
1)Combination of WFM & Data science together
2)Apply Data Science in WFM to solve business problems
3)Use the skills to uncover hidden solutions in data
4)Develop potential to take on business challenges and goals
5)Gain problem-solving and analytical skills as they are everywhere
6) Get industries for the outstanding benefits
7)WFM Data science / Analytics helps businesses in making smarter decisions
8)WFM Data Analytics improves efficiency and lowering the organization’s risks
9)Progress in a career in WFM as you will be distinguished as unique with this skill
Reach out to us at :
info@globalwfm.com
Phone : 91-9167844214 / 91-9900171542
Course Content
Data Science Course in WFM
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Introduction to Data science in WFM
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Session -1 End to end Life cycle of WFM
01:28:55 -
Session-2 Introduction to Data Science
01:59:03 -
Session -3 Terminologies of Data Science
01:53:50 -
Session-4 Type of Data Analytics
01:53:50 -
Session -5 Descriptive Statistics
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Session -6 Time Series Analysis
02:00:32 -
Session -7 Simple Forecasting Methods
01:48:11 -
Session – 8 Linear Regression Analysis
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Session -9 Exponential Smoothing
01:50:42 -
Session-10 Double Exponential Smoothing
01:46:01 -
Session – 11 Exponential practical session -1
01:42:52 -
Session -12 Exponential Smoothing Practical Session – 2 Q&A
01:16:01 -
Session -13 Linear Regression in Detail
01:46:54 -
Session -14 Linear Regression with the business cases
01:37:47 -
Session -15 Practical session
01:33:05 -
Session -16 Practical session
01:53:28 -
Session – 17 Data science ARIMA Model -1
01:39:33 -
Session-18 Data Science ARIMA Model -2
01:34:24 -
Session -19 Data Science ARIMA Model -3
01:43:10 -
Session-20 R Studio Fundamental Learning
01:50:48 -
Session- 21 RStudio -2
01:12:34 -
Session-22 RStudio
01:50:49 -
Session-23 RStudio
01:12:11 -
Session -24 RStudio
01:26:58 -
Session -25 RStudio Practical session
01:31:37 -
Session – 26 RStudio Practical session
01:41:24 -
Session-27 RStudio Practical session
01:12:14 -
Session-28 RStudio conclusion and Python 1st session
54:33 -
Python Data Science Learning
01:23:30 -
Forecasting in Python
01:06:32
Data Science in WFM Manual V-1
Masterclass on WFM Analytics & Business Cases
Data Forecasting and Segmentation Using Microsoft Excel
Tags
Instructors
Dani Dominic
Maddula Yuvarani
Mehjabin