Data Science Certified Manager Course

Data Science has found its way through the particular domains of the organizational functions. The Certified Data Science Manager course mainly focuses on the deployment of data science into the organizational functions The certification, accredited by  IABAC carries wide recognition and is instrumental in fulfilling long term career goals. 

Data Science Certified Manager Course Training Cost

Classroom

  • 2 Day Intensive Program
  • 3-month Live project Mentoring
USD 0
USD 0

Live Virtual

  • 16 Hrs Live Virtual Intensive Program
  • 3-month Live project Mentoring 
USD 580
USD 299

Self Learning

  • 1 Year Access to Elearning content
  • 3-month Live project Mentoring
USD 350
USD 149

Description

Data Science is the new word of the century. Organizations across the globe have identified the potentiality housed in the data science discipline. The Certified Data Scientist- HR talks about the incorporation of data science into human resource activity.

Given the successful completion of the course, you will be equipped with the following:-

  • Operations Procedures
  • Application of Statistical tools to Data Science.
  • Incorporation of Artificial Intelligence and Machine Learning into the business.
  • Helps to lead forward in the Data Science career trajectory
  • No Mandatory prerequisites.
  • Senior-level experience recommended
  • Data Scientists who have a specialization in operations.
  • Professionals working in the operations domain 
  • Wide Recognition
  • Higher pay in comparison to the non certified.

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.
  • You benefit from course syllabus of DataMites™ as designed inline with job requirement in the current market
  • You can choose from flexible learning options: 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
  • If you are a worthy candidate, you can get an opportunity to work in global data science consulting projects
  • You can treat your DataMites™ relationship manager as your pal. We value your every request.

Syllabus

● Data Science Overview

● Evolution of Data Science

● Data-Driven Decision process

● Classification of Data Science

● Data Science Modelling

● Statistics Overview: Descriptive and Inferential

● Basic Terminologies in Statistics

● Cochran’s min sample size

● Types of Data: Nominal, Ordinal, Discrete and Continuous

● Harnessing Data

● Random Sampling

● Sampling Methods: Simple Random, Stratified, Cluster and Systematic

● Biased Sampling Techniques

● Exploratory Data Analysis

● Measures of Central Tendencies: Mean, Median, and Mode

● Data Variability: Range, Variance and Standard Deviation

● Distributions: Normal Distribution/ Gaussian Distribution

● Histogram

● Standard Score / Z - Value

● Empirical Rule

● Outliers

● Normality Testing: Skewness and Kurtosis

● Correlation 

● Direct and Indirect Correlations

● Pearson Correlation Coefficient

● Machine Learning as a tool kit for Data Science Analysis

● Machine Learning Algorithms types

● Application of Machine Learning for Predictive Analytics.

● Prescriptive Analytics with Low Uncertainty

● Mathematical Modelling and Decision Modelling

● Break-Even Analysis

● Product Pricing with Prescriptive Modelling

● Building an Optimization Model

● Case Study 1: Network Optimization

● Assignment 1: Optimum Manufacturing Quantity

● Mathematics beyond Linear Regression

● Hands-on: Regression Modelling in Excel

● Case Study 2: Decision with Regression Analysis

● Assignment 2: Design Marketing Decision board

● Prescriptive Analytics with High Uncertainty

● Comparing Decisions in Uncertain Settings

● Decision Trees for Decision Modelling

● Case Study 3: Decision modeling

● Case Study 4: Decision modeling with Monte Carlo Simulation

FAQ'S

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 with 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 the 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 the 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.

The 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.

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