Marketing Analytics Course with Python- Henry Harvin®

Marketing Analytics Certification Training with Python Course

Henry Harvin® Enhance Your Marketing Analytica Skill with The Best Python Programming Course by Express Computer

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  • ★ ★ ★ ★ ★ 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 1 day

25 Nov 2024

Learning Period

32 Hours

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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

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32 Hours of Instructor-Led Sessions
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11 Hours of Live Interactive Doubt Solving Sessions
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6 Hours of Live Master Sessions by Industry Experts
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192 Hours of Self-Paced Learning
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192 Hours Hands on with Cloud Labs
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Job-Ready Portfolio of 3 Capstone Projects
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76 Auto-Graded Assessments
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6+ Industry Case Studies
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48 Guided Hands-On Exercises
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3+ Assignments and Mini Projects
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1 Mock Interview and 1 Hackathon
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Get 1-Year Gold Membership of Henry Harvin® Data Science & Analytics Academy
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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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2 Hours of Mentorship by Industry Experts
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Earn Certification of Course from Henry Harvin®, Govt of India recognized & Award-Winning Institute and NSDC Certification

Our Placement Stats

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Average salary hike

2100+

Access the best jobs in industry

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Maximum salary hike

Access the best jobs in the industry

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You Get 10-In-1 Program

Two-way Live Training Course

Two-way Live Online Interactive Classroom Sessions

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Certification

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

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Projects

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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Placement

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

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Student Engagement & Events

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

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Masterclass

Access to 52+ Masterclass Sessions for essential soft skill development

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Membership

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 Marketing Analytics with Python (CPMA) Course

Marketing Analytics with Python (CPMA) Course

The Python-based Marketing Analytics Certification Training Course is designed to provide professionals with the skills and knowledge needed to optimize marketing strategies and drive business growth. After completion of this course, candidates will be able to analyze marketing data effectively and make data-driven decisions.

AGOTA™ Framework

It is a versatile 10-in-1 program that includes various aspects of competency development and career development.

  • Training: 32 Hours of Two-way Live Online Interactive Classroom Sessions
  • Projects: Facility to undergo projects in Marketing Analytics such as Predicting Department wise Sales, Multi-Domain- Business Analytics Optimization, and more
  • Masterclass: Access to 52+ Masterclass Sessions for essential soft skill development
  • Student Engagement & Events: Free Access to #AskHenry Hackathons and Competitions & many other facilities from Henry Harvin®
  • Membership: Get 1 year Gold Membership of Henry Harvin® School of Data Science & Analytics for Marketing Analytics with Python Course
  • E-Learning  Free access to 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.
  • Certification: Get course completion Certification of Marketing Analytics with Python (CPBA) Course from Award-Winning Institute, Henry Harvin®, recognized by Govt of India and from NSDC 
  • Internship Support: Get a guaranteed Internship with Henry Harvin® and in top MNCs like J.P. Morgan, Accenture & many more via Forage.
  • Entrepreneurship Mentorship: Mentorship from Young Successful Entrepreneurs to set up a sustainable & scalable Business from scratch at both Freelance and entrepreneur levels
  • Placement Support: Get 3 in 1 Placement support through Placement Drives, Premium access to Job portal & Personalized Job Consulting

Trainers at Henry Harvin®

  • Most respected industry experts with extensive working experience and recognized by numerous organizations over the years for their work
  • Have been invited for 300+ keynote classes for Marketing Analytics with Python Course
  • Have delivered 450+ lectures and are currently empaneled as domain experts with Henry Harvin® Data Science & Analytics Academy

Alumni Status

Become a part of the Elite School of Data Science & Analytics of Henry Harvin® & join the 4,60,000+ strong Alumni Network Worldwide

Gold Membership Benefits

Get 1-Year Gold Membership of Henry Harvin® School of Data Science & Analytics 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!

Projects covered (Hands-on Practical Experience)

  • 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

  • icons-carri22 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

  • icons-carri22 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

  • icons-carri22 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

  • icons-carri22 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

  • icons-carri22 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

  • icons-carri22 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

  • icons-carri22 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

  • icons-carri22 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

  • icons-carri22 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

  • icons-carri22 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

  • icons-carri22 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

  • icons-carri22 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

  • icons-carri22 Module 13: Complementary Module 1: Soft Skills Development

    • Business Communication
    • Preparation for the interview
    • Presentation Skills

  • icons-carri22 Module 14: Complimentary Module 2: Resume Writing

    • Resume Writing

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

Book a Live Class, For Free!

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Starts in 1 day. 25 Nov 2024

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Skills Covered

Data Mining

Statistical Analysis

Machine Learning

Data Structure

Data Manipulation

Linear & Logistic Regression

Clustering

Text Mining

Rule Analysis

Tools Covered

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

Meet our Trainers

Image of Akshat Sharma

Akshat Sharma

English, Hindi

6 years

PGDM , BTECH (CSE)

Helping people create opportunities in Analytics.... Helping people create opportunities in Analytics. Linkedin : https://www.linkedin.com/in/akshat-sharma-0596a8252/
Image of Dhiraj Upadhyaya

Dhiraj Upadhyaya

English

25 Years

MTech

Data Scientist/ Analyst, Project Manager(PMP Certi... Data Scientist/ Analyst, Project Manager(PMP Certified), Researcher, Trainer, Consultant
Image of Experienced Data Scientist, Full Stack Developer, Digital Marketing, and Cyber Security expert

Experienced Data Scientist, Full Stack Developer, Digital Marketing, and Cyber Security expert

English, Hindi

12+ Years

M.Tech. (Computer Sceince & Engineering )

Experienced Data Scientist, Full Stack Developer,... Experienced Data Scientist, Full Stack Developer, and Digital Marketing expert with 10+ years in solving data-driven challenges across Education, Telecom, Tech, and E-Commerce. Skilled in advanced analytics, machine learning, and data visualization to optimize business performance. Passionate about delivering strategic solutions for diverse industries.
Image of ANIL

ANIL

English, Hindi

10 Years

PH.D.

Lead Trainer Data Sciences Lead Trainer Data Sciences

Certifications

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

What you'll Learn in this course

Best Practices for Data Measurement & Analysis

Data Measurement & Analysis

Engaging Customers in Real-Time

Transactional Data Analysis

Managing Tangible and Intangible Assets

Applying Analytics Tools & Techniques

Our courses and Course Certificates are trusted by these industry leaders

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Know more about the value of this certificate in the industry

Career Services By Henry Harvin®

Career Services
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Placement Drives

We are dedicated to supporting our students throughout their career journey. Join us, and let's embark on a journey towards a successful and fulfilling career together.

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Premium access to Henry Harvin® Job portal

Exclusive access to our dedicated job portal and apply for jobs. More than 2100+ hiring partners’ including top start–ups and product companies hiring our learners. Mentored support on job search and relevant jobs for your career growth.

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Personalized Job Consulting

Share what kind of job you are looking for and we will provide you with verified job openings that match your requirement.

Job Profiles

Data Analyst

Marketing Data Scientist

Marketing Analyst

Digital Marketing Specialist

Business Intelligence Analyst

Quantitative Analyst

Customer Insights Analyst

Marketing Operations Analyst

Campaign Analyst

Frequently Asked Questions

  • What are the benefits of this Marketing Analytics Course?

    • Understand practical issues faced with Marketing Analytics with the focused FAQ session.
    • Gain experience of computer-based practical training on Marketing Analytics
    • Get knowledge on ‘Recent Amendments & their Challenges.
    • Resolve doubts on Marketing Analytics during & after training for FREE.
    • Get Study Material Worth INR 500/- for FREE.
    • Experience sharing by Marketing Analytics experts.
    • Earn industry-recognized certification in Marketing Analytics which featured in Aaj Tak, Hindustan Times, Pioneer, India Today, Business World, Mail Toda

  • What if I miss a lecture for CPMA Course?

    You have multiple options here:

    • View class recordings of the missed class
    • Attend missed class of the next batch
    • Shift entirely to the next batch

  • What Exceptional Benefit Will You Derive From Taking A Marketing Analytics Course From Here?

    Successful completion of this Marketing Analyst Course will result in a certification from Henry Harvin declaring you as a Certified Marketing Analytics Professional, authenticating your competency in Marketing Analytics. This will add weightage to your CV and help in giving a flight to your analyst career.

  • Will This Marketing Analytics Course Cover Python Language Extensively?

    This Marketing Analytics Course is framed by industry professionals having extensive experience and therefore, it covers A-Z of Python along with marketing analytics. After successful completion of the course you will learn to calculate market segments, use pricing techniques, and forecast sales with Excel & Python for better marketing strategy.

  • What Is a Marketing Analytics Course With Python? Is It Advisable To Take Up A Marketing Analyst Certification Course With Python For A Better Future?

    Python, which is a general programming language, has gained remarkable prominence in the Data Science world in recent years. Thus, enrolling for a comprehensive Marketing Analyst  Course will open up new job opportunities for aspirants as Python for data science has become the industry's preferred choice.

     

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Henry Harvin®️ ranks amongst the Top 500 Global Edtech Companies with 4,60,000+ Alumni, 900+ B2B Clients, 500+ Award Winning Trainers, and 1200+ Courses.

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