Get CMAP + CSSE-GB Certification | Great combo to enhance your Analytical + Management + Leadership skills | Learn from industry experts to explore + analyze + solve marketing problems using popular analytics tools such as R/Python & Advanced Excel.
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Know the complete offerings of our Marketing Analytics with Lean Six Sigma Green Belt Course in Vishakhapatnam
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Get 1-Year Membership of Henry Harvin Analytics Academy and avail the following benefits:
Analytics:
Six Sigma:
Know the complete offerings of our Marketing Analytics Certification Training Course(CMAP) + Lean Six Sigma Green Belt Certification Training Course(CSSE-GB) in Vishakhapatnam
Marketing Analytics Using Python and R Programming
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.
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.
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).
Understand how Association Rules can be created using Market Basket Analysis. Finding Interesting association between items purchased by Customers and building a strategy to sell more.
Twitter Analysis
Configure Twitter Account & Application; Setup for downloading tweets and analyse them for positive and negative sentiments related to Financial News/ Articles.
Final Assessment
Certificate Dispatch
Monthly Brush Up Sessions- Live Online (12months)
Six Sigma Green Belt
Evaluation & Introduction to Lean Six Sigma
Define
Measure
Soft Skills Training
Resume Writing
Analytics:
Six Sigma:
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Know more about 50+ tools covered in this Marketing Analytics with Lean Six Sigma Green Belt Course in Vishakhapatnam
Get commended with our distinct Marketing Analytics + Six Sigma Certification course. The certification portrays the fact that you have extensive knowledge of marketing metrics and you are eligible to evaluate the marketing strategies and would help in the growth of the organization.
Marketing Analytics and Lean Six Sigma certification course inculcate mandatory skills that advance you to the world of data analytics. With the extensive knowledge gained you can be ready to develop a career in marketing analytics to set you ahead in any organization.
Portray about your Certification of Master in Marketing Analytics - on LinkedIn, WhatsApp, Instagram, Facebook, Twitter; Magnify your resume and share with your network across different domains.
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