Data Science Course Features

Without data, you’re just another person with an opinion.   - Edward Demings

Given the cut-throat competition, Data-driven decision making has become the most important aspect of managers and decision-makers in the current business landscape. As per the recent study, more than 70% of the managers lack the skills required for making data-driven decisions, creating a high demand for managers with data science skills.

 

Data Science for Managers

Data is everywhere and is found in all the levels in an organization. Every individual is exposed to data. However, its use varies at various levels. Different departments use data in different ways. You embrace different roles in career and business, be it as a Manager, a Team Leader, or even an Entrepreneur. The knowledge of Data Science is essential for all roles, wherein decision making happens to play a bigger part.

Data Science for Managers concerns with the incorporation of Data Science into activities on a senior level. The Data Science for Managers course is meant for those who more often come across responsibilities, which involve decision making, that is data-driven. The certification accredited by IABAC has global recognition.

Data Science for Managers Training Cost

Live Virtual

530
329

  • IBM® & IABAC® Certification
  • 2-Week Program
  • 12-Hour Live Online Training
  • 40 Learning Hours
  • 5 Decision Making Case Studies
  • Visual Analytics With Tableau

Self Learning

300
209

  • IBM® & IABAC® Certification
  • 40 Learning Hours
  • 365 Days Access
  • 5 Decision Making Case Studies
  • Visual Analytics With Tableau

Classroom

 

  • IBM® & IABAC® Certification
  • 2-Week Program
  • 12-Hour Classroom Training
  • 40 Learning Hours
  • 5 Decision Making Case Studies
  • Visual Analytics With Tableau

ONLINE TRAINING SCHEDULES

Why Datamites

Why DataMites Infographic

Description

Data Science skills are in big demand, every present-day organization seeks individuals who can leverage the potential of data, for making important decisions. The Data Science for Managers course mainly concentrates on the tools and techniques needed to analyze the data of a business and derive insights from them and use them to make further business decisions. 

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

Data is everywhere, all the present-day businesses largely depend upon data, this is because data becomes the focal point for all the business decisions to be taken. A business always works in close association with Customers and Vendors, therefore the information pertaining to both, becomes data for the company. Based on the customer purchasing behavior a company can decide what to offer them. This is possible only with an analysis of the customer data.

Data Science for Managers course is designed for those who are involved in decision making roles. Some of the prerequisites required for the Data Science for Managers course are:-

  • Basic knowledge of working in the data science domain.
  • Knowledge of Statistics and Mathematics and their relevance in Data Science.
  • Should have an experience of working in a decision making role.
  • Senior professionals who wish to switch their career to Data Science.
  • Chief executive officers, Directors and Decision-makers in the company
  • Professionals who have significant years of experience in the field.
  • Know the ways of incorporating Data Science within an organization’s function.
  • Gain knowledge about the deployment of statistical tools to Data Science.
  • To know and utilize Data Science for maximizing company revenue.

DataMites  is an authorized institute by the International Association of Business Analytics Certifications (IABAC™) providing global data science certification courses

  • DataMites is founded by Data Science/Analytics Experts, who had deep roots in the industry in the USA and Europe for decades.
  • DataMites has a faculty of trainers who are CEOs of Data Science companies, who are PhD holders, with rich experience and intense subject matter expertise in the field.
  • The Data Science course syllabus is designed based on the current industry trends. 
  • Multiple learning options to choose, with flexibility: Traditional classroom, Live Virtual classroom, and Self-learning.
  • DataMites™ has a dedicated Placement Assistance Team (PAT), which assists you to find the right data science job
  • Based on your knowledge and expertise, you can get an opportunity to work in global data science consulting projects
  • DataMites relationship managers are always available to guide you. We value every request of yours.

Syllabus

  • 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 Cost

 

  • 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

FAQ'S

The trainers for the Data Science for Managers course are experienced Data Scientists, who possess a good amount of knowledge in the subject matter.

No. Coding is not required to learn Data Science for Managers course.

DataMites™ provides flexible learning options from traditional classroom training, the latest virtual live classroom to distance course. Based on your location preference, you may have one or more learning options

This course is perfectly aligned to the current industry requirements and gives exposure to all the latest techniques and tools. The course curriculum is designed by specialists in this field and monitored and improved by industry practitioners on a continual basis.

All certificates can be validated with your unique certification number at IABAC.org portal. You also get candidate login at exam.iabac.org, where you can find your test results and other relevant validation details.

The results of the Exam are immediate if you take an online test at exam.iabac.org portal. The certificate issuance, as per IABAC™ terms, takes about 7-10 business days for e-certificate.

No, the exam fees are already included in the course fee and you will not be charged extra.

 

Course fee needs to be paid in one payment as it is required to block your seat for the entire course as well as book the certification exams with IABAC™. In case, if you have any specific constraints, your relation manager at DataMites™ shall assist you with part payment agreements

DataMites™ has a dedicated Placement Assistance Team(PAT), who work with candidates on an individual basis in assisting for the right Data Science job.

You get a 100% refund training fee if the training is not to your satisfaction but the exam fee will not be refunded as we pay to accreditation bodies. If the refund is due to your availability concerns, you may need to talk to the relationship manager and will be sorted out on case to case basis

DataMites™ provides loads of study materials, cheat sheets, data sets, videos so that you can learn and practice extensively. Along with study materials, you will get materials on job interviews, new letters with the latest information on Data Science as well as job updates.

The DataMites Placement Assistance Team(PAT) facilitates the aspirants in taking all the necessary steps in starting their career in Data Science. Some of the services provided by PAT are: -

  • 1. Job connect
  • 2. Resume Building
  • 3. Mock interview with industry experts
  • 4. Interview questions

The DataMites Placement Assistance Team(PAT) conducts sessions on career mentoring for the aspirants with a view of helping them realize the purpose they have to serve when they step into the corporate world. The students are guided by industry experts about the various possibilities in the Data Science career, this will help the aspirants to draw a clear picture of the career options available. Also, they will be made knowledgeable about the various obstacles they are likely to face as a fresher in the field, and how they can tackle.

No, PAT does not promise a job, but it helps the aspirants to build the required potential needed in landing a career. The aspirants can capitalize on the acquired skills, in the long run, to a successful career in Data Science.

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