Marketing Analytics Certification Training Course(CMAP) + Lean Six Sigma Green Belt Certification Training Course(CSSE-GB)

BY
Henry Harvin

Mode

Online

Duration

64 Hours

Fees

₹ 22050 24500

Quick Facts

particular details
Medium of instructions English
Mode of learning Self study, Virtual Classroom
Mode of Delivery Video and Text Based

Course and certificate fees

Fees information
₹ 22,050  ₹24,500
certificate availability

Yes

certificate providing authority

Henry Harvin

The syllabus

Phase 1

  • Marketing Analytics Using Python and R Programming

Module 1

Introductory Topics to Analytics
  • Understanding the need for Analytics in Specific Domain; CRISP Modeling
Introduction to Data Management
  • Properties & Types of Data, Measurement Scale, Basic Statistics on Data
Basics of Python Programming
  • Need for R
  • Features of R
  • Download, Setup, Installation
  • Python & Python Studio
  • Configuration. eg. Learning to set up Python and share Code
Data Structures in R
  • Creating and Understanding Basic Data Structures in Python - Vector, List, Matrix, Array, Data Frame & Factors which help in creating data in Python programming.
Data Manipulation & Summarisation in R
  • Understanding how data can be summarised in different ways to do Descriptive Analysis which describes features of data.
Evaluation & Introduction to Lean Six Sigma
  • History & Evolution of Six Sigma
  • Six Sigma & Lean Definition
  • COPQ
  • Variation
  • DMAIC Phases
  • Six Sigma Roles & Responsibilities

Module 2

Analytical Modeling
  • Understand what is Modeling and how it can be used in Various Domain
Statistical Tests
  • P-Value
  • Z Value
  • Hypothesis
  • Null Hypothesis
  • Alternative Hypothesis
  • F Test
  • ANOVA Introduction
Linear Regression (Using Python)
  • Start of Machine Learning,
  • Develop a Prediction Model for predicting financial values based on one or more than 1 Independent Variable
  • Understand the assumptions and measures of goodness of Model
  • Understand its prediction ability
Visualization using Graphs
  • Creating Graph in Python and understanding which graph to be used when.
Missing Value and Outlier Analysis
  • Understanding how missing values & outliers are handled in data summarisation & modelling
Logistic Regression
  • Predicting Binary Outcome (Buy or not, Churn or not, Loan Default or not) based on Independent Variables eg. Predicting Cases for Fraud, Default on Payment, etc.
Define
  • Project Charter
  • Project Charter Contents
  • Process Mapping
  • SIPOC
  • Identifying Customers & VOC
  • Establishing VOC to CTQ
  • KANO Model
  • RACI Model
  • Quiz

Module 3

Clustering
  • Grouping customers based on characteristics so that they can be a target for sale increase
Decision Trees
  • When to use CART & CHAID to create a decision tree based on categorical variables.
Ensembles (Bagging & Boosting)
  • Random Forest, XGBoost: Problems of Decision Tree covered in Random Forest
  • How group thinking impacts the decisions (from a business point of view).
Measure
  • What is Data?
  • Data Classification & Type
  • Data collection plan
  • Sampling & Sampling Strategies
  • Mean
  • Median
  • Mode
  • Range
  • Variance
  • Standard Deviation
  • Case Study – Basic Statistics
  • Normal Distribution
  • Testing Normality
  • Histogram
  • Dot Plot
  • Box Plot
  • Time Series Plot

Module 4

Twitter Analysis
  • Configure Twitter Account & Application
  • Setup for downloading tweets and analyse them for positive and negative sentiments related to Financial News/ Articles.
  • Analyse
  • Measurement System Analysis
  • Accuracy & Precision
  • Repeatability
  • Reproducibility
  • Gage R & R study
  • Process Capability
  • Capability Formulas
  • DPMO, DPU, DPO
  • Rolled Throughput Yield
  • 7 QC Tools
  • Central Limit Theorem
  • Hypothesis testing
  • Alpha risk
  • Beta Risk
  • t-test

Post Learning

  • Final Assessment
  • Certificate Dispatch
  • Monthly Brush Up Sessions- Live Online (12months)

Phase 2

  • Six Sigma Green Belt

Module 5

  • Improve
  • Improvement Strategy
  • Regression
  • Correlation
  • Scatter Plot
  • Brainstorming
  • 5S
  • FMEA
  • Piloting Solutions
  • Automation
  • Regression
  • Correlation
  • Scatter Plot
  • Brainstorming
  • Automation
  • Mistake Proofing

Module 6

  • Control
  • Statistical Process Control
  • SPC Selection Process
  • Control Plan

Complimentary Module 1: Soft Skills Development

  • Soft Skills Training

Complimentary Module 2: Resume Writing

  • Resume Writing

Projects Covered

Analytics
  • HR: Analyze the Attrition rate of Employees
  • Sales: Predicting Department wise Sales
  • Multi-Domain: Business Analytics Optimization
  • Marketing: Website Trend Analysis
  • Financial Analysis: Stock Market Prediction
  • Finance: Analyze ETF Trends
Six Sigma
  • Quality of Work Life in an Organization of Employees
  • Improve Total time & Rolled Throughput Yield
  • Optimization of Average call times in a BPO-Voice Process
  • Defect Reduction in Die Casting
  • Improving Internal SQR in XXM Activities

Trending Courses

Popular Courses

Popular Platforms

Learn more about the Courses

Download the Careers360 App on your Android phone

Regular exam updates, QnA, Predictors, College Applications & E-books now on your Mobile

Careers360 App
150M+ Students
30,000+ Colleges
500+ Exams
1500+ E-books