Marketing Analytics Course with Python- Henry Harvin®

Marketing Analytics Certification Training with Python Course

  • ★ ★ ★ ★ ★ 4.8/5 Ratings
  • 1.1 Million Learners
  • 4213 Learner’s Rating
  • 81% Report Career Benefits

Certified Python' (CPMA) course is a focused 32-hours instructor-led training and certification program that equips participants to explore+analyze+solve marketing problems using popular analytics tools such as Python & Advanced Excel.

Starts In 4 day

02 Jun 2024

Learning Period

32 Hours

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Placed Learners

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Accreditations & Affiliations

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There's a reason that 95% of our alumni undertake 3+ courses as a minimum with Henry Harvin®

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Know the complete offerings of our Marketing Analytics with Python (CPMA) Course

Key Highlights

Ranked Top Analytics Courses
100% Practical Business Analytics Training
Job Support + Alumni Status
1-Year Membership of Analytics Academy
Recommended by IIM Ahmedabad & IIT Bombay Alumni
Trusted by 160+ Corporates and 60+ Colleges

Upcoming Cohorts

Our Placement Stats

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Average salary hike


Access the best jobs in industry

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Maximum salary hike

Access the best jobs in the industry

You Get 10-In-1 Program

Two-way Live Training Course

Two-way Live Online Interactive Classroom Sessions

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Distinguish your profile with global credentials and showcase expertise with our Hallmark Completion certificate

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Facility to undergo various projects along with the course.

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Guaranteed Internship

Get a guaranteed Internship with Henry Harvin® and in top MNCs like J.P. Morgan, Accenture & many more via Forage.

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Get 3 in 1 Placement support through Placement Drives, Premium access to Job portal & Personalized Job Consulting

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Free Access to #AskHenry Hackathons and Competitions & many other facilities from Henry Harvin®

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Access to 52+ Masterclass Sessions for essential soft skill development

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Get Free Gold Membership of Henry Harvin®

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E-Learning Access

Free access to the E-learning Portal and future updates. Get access to PPTs, Projects, Quizzes, self-paced Video-based learning, a question bank, a library, practice tests, final assessment, a forum, and doubt sessions.

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Entrepreneurship Mentorship

Mentorship from Young Successful Entrepreneurs to set up a sustainable & scalable Business from scratch at both Freelance and entrepreneur levels

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About the Marketing Analytics with Python (CPMA) Course

Marketing Analytics

Marketing Analytics Course with Python enables professionals to understand analytics-based marketing decision making to drive the ROI of company's marketing campaigns.

Duration of Marketing Analytics Course

32hrs Training + 24hrs Brushup Sessions + 50hrs E-Learning Access


  • CPMA (Certified Python)
  • (Recommended by IIM Ahmedabad & IIT Bombay Students)


Python, Advanced Excel


Delivered industry professionals having extensive experience as practitioners of Marketing Analytics with international companies. These professionals are also impaneled as domain expert with Henry Harvin® Analytics Academy

Alumni Status

Get a Henry Harvin® Alumni status & network with 460,000+distinguished alumni worldwide

Membership Program

Get 1-Year Membership of Henry Harvin® Analytics Academy and avail the following benefits:

  • E-Learning Access: Includes Recorded Videos, PPT, Case Studies
  • Internship: Option to do Internship with Henry Harvin® or partner firms
  • Job Opportunities: Job Opportunities regularly on mail
  • Interview Skills: Support in Clearing Interviews with Startups and Top Corporates

Learning Benefits

  • Explore+Analyse+Solve Business Problems using Analytics Tools like Python & Advanced
  • Understand 'What' & 'How' aspects of Data Collection
  • Get insights from Industry Best Practices for Data Measurement & Analysis
  • Communicate Business Objectives in a focused manner with data analysts & help evaluate results of data analysis better.
  • Develop Goal-Oriented Business Strategies
  • Gain Full View of Customers across Different Channels by Accessing+ Integrating+ Analysing Customer Data through Multiple Sources & Engage Customers in Real-Time
  • Understand the Affinity of Product by analyzing transactional data.
  • Understand Analytics-Based-Financial Decision Making to drive company's ROI
  • Take Actionable Data-Driven Decisions to increase market share
  • Helps with Adjusting to Macro Changes in predictive models

Career Benefits

  • Become Eligible for analytics jobs demanding background
  • Open doors to Job Opportunities Abroad demanding specialization
  • Fill the void of thousands of untapped High-Paying Jobs in analytics with Talent Shortage
  • Get Promoted in current profile with most in-demand skill
  • Distinguish your profile from peers during Job Interviews
  • Earn a Rewarding Certification- 'Certified Python' (CPMA)
  • Upgrade biz card with Hallmark of Global Credential-CPMA Professional added next to your name
  • Improve CV & Linkedin Profile with professional development
  • Support a Startup with high ROI
  • Build a Startup in one of the most rewarding fields of today- Analytics!

5+ Projects covered (Hands-on Practical Experience)

  • 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

Know the complete offerings of our Marketing Analytics Certification Training with Python Course

Curriculum For Marketing Analytics with Python (CPMA) Course

  • Module 1: Analytics- General

    This module will guide the candidate with the knowledge of Analytics. Learn about the different roles in Analytics. Know about the tools and techniques in Analytics. Gain knowledge about Data Science, Data Mining, STatistics, MAchine learning, and more. Learn about the CRISP Modeling Framework.
    • What is Analytics
    • Why Analytics (Appl in various domains..)
    • Different Roles in Analytics
    • Tools and Techniques in Analytics
    • Data Science, Data Mining, Statistics, Machine Learning, Supervised and Non-Supervised Techniques
    • CRISP Modeling Framework
    • Scales of Measurements
    • Quiz Module 1
  • Module 2: Python Environment

    This module will help the candidate to gain knowledge about the Python Environment. Learn about Ananconda setup and various IDEs, GIT, and more. Create and Manage Analytics/ML Projects
    • Anaconda - Download & Setup
    • IDEs - Jupyter, Spyder, PyCharm
    • Git - Setup and Configuration with IDEs
    • Creating and Managing Analytics/ ML Projects
    • Quiz Module 2
  • Module 3: Basic Programming and Data Structures

    This module will help the candidate with knowledge of basic programming and data structures. Gain extensive knowledge about Libraries, Numpy, pandas, Matplotib

    • Basic Data Structures & Programming Constructs
    • Libraries
    • Numpy
    • Pandas
    • Matplotlib
    • Quiz Module 3
  • Module 4: Data Manipulation and Descriptive Summary

    This module will guide the candidate with the knowledge of Data Manipulation and Descriptive summary. Know about Group summaries, crosstab, pivot, reshape data and manage missing values. Learn to manage indexes in Pandas, Scaling of data, and more

    • Group Summaries
    • Crosstab, Pivot and Reshape data
    • Managing Missing Values
    • Outliers Detection
    • Various types of Joins, merge
    • Managing indexes in pandas
    • Partitioning data into train and test set
    • Scaling of Data (useful for Clustering)
    • Quiz Module 4
  • Module 5: Statistics

    This module will guide the candidate through the basics of statistics in Marketing Analytics. Learn extensively about Hypothesis testing, Probability distribution, and Sampling Techniques
    • Basic Statistics (mean, median, mode)
    • Other Statistics (sd, var, quantile, skewness, kurtosis)
    • Hypothesis Tests (t-test, Chi-sq tests, etc)
    • Probability Distributions (normal, binomial, etc)
    • Sampling Techniques
    • Quiz Module 5
  • Module 6: Graphical Representation of Data

    This module will guide you through the techniques of Graphical Representation of Data. Learn about the selection of graphs and types of graphs. Manage plot parameters and advanced graphs such as correlations, heatmap, mosaic, and more
    • Selection of Graph
    • Basic Graphs (histogram, barplot, boxplot, pie, etc)
    • Libraries (matplotlib, seaborn, plotline)
    • Managing plot parameters(size, title, axis, legend, etc)
    • Advanced Graphs (correlation, heatmap, mosaic, etc)
    • Exporting graphs
    • Quiz Module 6
  • Module 7: Linear Regression

    This module will guide you through the basic understanding of Linear Regression. Know about multiple linear regression and its libraries. Learn the metrics of Linear Regressions and its application & assumptions
    • Simple Linear Regression
    • Libraries - sklearn, statsmodel
    • Predict DV on IVs
    • Multiple Linear Regression
    • Metrics of Linear Regression(R2, RMSE, p-values)
    • Applications of Linear Regression
    • Assumptions of Linear Regression
    • Quiz Module 7
  • Module 8: Logistic Regression

    This module will guide the learner with knowledge of Logistic Regression. Know the metrics of logistic regression. Predict the probability of DV on IV. Know extensively about applications of Logistic regression
    • Difference between Linear and Logistic
    • Logistic Regression
    • Metrics of Logistic Regression (confusion matrix, ROC curve)
    • Predict the probability of DV on IV
    • Applications of Logistic Regression
    • Quiz Module 8
  • Module 9: classification

    This module will guide the candidate with the knowledge of classification in Marketing Analytics. Understand the tree from the plot and know about the classification tree. Learn to improve tree accuracy using random forests. Know the applications of the decision tree, KNN, Neural Networks, SVM, and more
    • Difference between classification and regression decision trees from CART models
    • Understanding tree from the plot
    • Classification Tree - predict class, plot, accuracy
    • Regression Tree - predict numerical value, plot, RMSE
    • Improving tree accuracy using Random Forests
    • Bagging and Boosting
    • Applications of Decision Tree
    • KNN (k-nearest neighbors)
    • Neural Networks
    • Gradient Descent
    • SVM (Support Vector Machine)
    • Quiz Module 9
  • Module 10: Cluster Analysis

    This module will guide you through the knowledge of Cluster Analysis. Know about the Clustering for grouping data and its types. Learn about extracting data in clusters and application of clustering
    • Clustering for Grouping Data
    • Types - Hierarchical & Non-Hierarchical
    • K Means - output metrics (iter, error, plot)
    • Hierarchical (Agglomerative & Divisive) - Dendrogram, Visual plot
    • Extracting the data in clusters, Cluster Centers
    • Applications of Clustering
    • Quiz Module 10
  • Module 11: Association Rule Analysis

    This module will guide you through the knowledge of the Association Rule analysis. Learn to apply AR to the grocery store for market basket analysis. Know about the frequent Itemsets and rules and application of AR
    • Applying AR to the grocery store for Market Basket Analysis
    • Metrics- Support, Confidence, Lift
    • Frequent Itemsets and Rules; Filtering rules
    • Applications of AR
    • Quiz Module 11
  • Module 12: Text Mining

    This module will guide the candidate through the understanding of Text Mining. Manage unstructured data and extract tweets from Twitter and words for sentiment analysis. Know the application of text mining
    • Managing Unstructured Data; Unstructured to Structured Data
    • Extracting Tweets from Twitter
    • Extracting words for Sentiment Analysis
    • Wordcloud to visualize the frequency of occurrence of words in the text
    • Applications of Text Mining
    • Quiz Module 12

Know the complete offerings of our in Marketing Analytics with Python (CPMA) Course

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Skills Covered

Data Mining

Statistical Analysis

Machine Learning

Data Structure

Data Manipulation

Linear & Logistic Regression


Text Mining

Rule Analysis

Tools Covered


Know more about 50+ tools covered in this Marketing Analytics with Python (CPMA) Course


Get Ahead with Henry Harvin® Marketing Analytics with Python (CPMA) Course Certification

What you'll Learn in this course

Earn your CPMA Certification

Our Marketing Analytics Course is exhaustive and this CPMA Certification is a proof that you have taken a big leap in mastering the domain.

Differentiate yourself with a Henry Harvin Marketing Analytics Certification

The practical knowledge and actionable skillset you've gained working on projects, simulations, case studies will set you ahead of the competition.

Share your achievement

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Training Certification

Get a Hallmark Certification of Certified Python Marketing Analytics (CPMA) from Henry Harvin®

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Career Services

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