Data Science for Managers

Data Science skills are in big demand, every present-day organization seeks individuals who can leverage the potential of data, for making important decisions.

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Course Objectives

After learning the Data Science for Managers course, a candidate will be well equipped with the following:

  • Business Analytics Foundation
  • Statistics
  • Optimization models with excel
  • Predictive Analytics with Regression with excel
  • Decision modeling with excel

Course Module

  • Data Science Introduction 
  • Data Science Evolution 
  • Business Applications 
  • Benefits of Data Science 
  • Challenges of Data Science 

  • Data Science Context : Data Mining / Business Intelligence / Data Science 
  • Perspective of Data Science 
  • Data Science Classification 
  • Various Types Of Data Science 

  • Popular Tools for Data Science 
  • Data Sources 
  • Data Reliability and Validity

  • Data Science Steps 
  • Recognize the Problem 
  • Define a Problem 
  • Structure the Problem 
  • Analyze the Problem 
  • Interpret the Results 
  • Implement Solution 
  • Crisp-Dm Reference Model

  • Overview of Statistics 
  • Descriptive Statistics 
  • Inferential Statistics 
  • Basics Terminologies 
  • Cochran's Min Size Formula 
  • Types of Data 
  • Examples of Various Data 
  • Cochran’s Formula Example 
  • Examples of Variables 

  • Harnessing Data Introduction
  • Making Sense of the Data 
  • Sampling Methods 
  • Simple Random Sampling 
  • Stratified Sampling 
  • Systematic Sampling 
  • Biased Sampling Methods

  • Exploratory Data Analysis 
  • Measures of Central Tendencies 
  • Mean 
  • Median 
  • Mode 
  • Measures of Variability 
  • Range 
  • Calculating Standard Deviation

  • Z- Score / Z-Value/ Standard Score 
  • Calculating Z-Score 
  • Histogram 
  • Empirical Rule 
  • Outliers 

  • Normal Distributions, Mean, Variance 
  • Normality Testing
  • Skewness 
  • Kurtosis 
  • Correlation

  • Mathematical Modeling 
  • Decision Modeling 
  • Break Even Decision Model 
  • Prescriptive Model Pricing

  • Sales Promotion Decision 
  • Sales Prediction With Multiple Regression Analysis

  • Kerc Inc – Car Manufacturer Case Study 
  • Kerc Inc Case Modeling 
  • Optimizing Kerc Production Model

  • Wonderzon Case Study: Problem Statement 
  • Wonderzon Case Modeling
  •  Predicting Optimum Logistics Cos

  • Predictive Analytics Introduction 
  • Types of Predictive Analytics
  •  Application of Predictive Analytics

  • Mathematical Modeling Regression 
  • Simple Learning Regression 
  • Predicting Profit with Regression

  • Multiple Regression Modeling 
  • Predictive Analytics Summary

  • Monte Carlo Simulation Introduction 
  • Smart It Inc. Internet Plan : Problem Statement 
  • Model Building 
  • Optimization and Plan Decision

  • Kickathlon – Supplier Decision Making 
  • Decision Tree Convention 
  • Kickathlon – Supplier Decision Tree

  • Decision Tree Convention 
  • Common Decision Strategies 
  • Maxi-Min Strategy 
  • Maxi-Max Strategy 
  • Maximize Expected Value Strategy 
  • Decision Trees with Monte Carlo Simulation Uncertain Output Range 
  • Decision Tree Summary

  • Tableau Introduction 
  • Connecting to Various Data Sources 
  • Fixing Data Issues while Importing

  • Tableau Panes 
  • Creating Basic Visualizations 
  • Insights for Data Through Visualizations 
  • Exploratory Data Analysis 

  • Stacked Bar Graph 
  • Deriving Insights Through Compound Plots

  • Forecasting Sales 
  • Adjusting Forecasting Parameters

  • Various Filters Options 
  • Interactive Filters 
  • Building Effective Dashboards

  • Various Publishing Options 
  • Tableau Packaged Workbook 
  • Summary

  • Various Publishing Options 
  • Tableau Packaged Workbook 
  • Summary

Learning Approch

  • Designed with a focus on real world relevance
  • Real-world case studies
  • Hands-on Assignments
  • Individualized Instructor
  • Career Guidance
Program
Dates

Certification (LP Certificate)

Earn a Course Completion Certificate, an official Learners Point credential that confirms that you have successfully completed a course with us.

Certification (KHDA)

Earn a KHDA attested Course Certificate. The Knowledge and Human Development Authority (KHDA) is the educational quality assurance and regulatory authority of the Government of Dubai, United Arab Emirates.

Expert Instructors & Teaching Methods

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Trainer

We, at Learners Point, take immense pride in our teaching methods and instructors. Our instructors are some of the best experts from their fields and employ a practical approach to learning. Many of them are globally recognised and have a diverse set of experience in their field of expertise. You are always sure to have the best in the industry as your teachers who are ready to guide you at every step and make the experience informative yet enjoyable. Apart from the focus on learning your chosen course, our instructors also encourage students to develop communication skills and interpersonal skills necessary to excel in the practical world. 

 

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Trainer

Learners Experience

Frequently Asked Questions

Our trainings are mostly instructor led and classroom based. However, we also offer high quality live and interactive online sessions.

Our highly skilled faculties from around the globe are experts in their fields and come with decades of diverse industry experience. Our trainers are internationally recognized and locally preferred with rich research driven experience which will ensure highly customizable, engaging and top in the class learning experience.

Choosing LearnersPoint is true value for money as our trainings are right blend of theory and practice and specially developed keeping tomorrow's business needs in mind. All the training sessions are closely monitored through specially designed progress tracker to ensure reinforced and unparalleled learning experience.

Once you have registered for a course and wish to not to proceed with the training for any reason, you are entitled for a refund of the fees provided we are notified in writing within 2 days from the date of initial registration before the training commencement. The refunds are processed within 4 weeks from the day of withdrawal.