Business Analytics with Digital Marketing Course | Zen Class
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Business Analytics with Digital Marketing

Business Analytics with Digital Marketing

Blend Business Analytics with Digital Marketing & pivot your business objectives into measurable actions! Identify, Leverage, and Improvise dramatically with accurate digital marketing analytics and boost your business to benefit everyone!

6 Months (Weekend)  |  Live classes + Lifetime recorded videos

Blend Business Analytics with Digital Marketing & pivot your business objectives into measurable actions! Identify, Leverage, and Improvise dramatically with accurate digital marketing analytics and boost your business to benefit everyone!

6 Months (Weekend)  |  Live classes + Lifetime recorded videos

I’m Interested in this Program
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Format

Online

EMI Options

Upto 12 months

Course

Live Online classes + Lifetime recorded videos

Duration

6 Months

Hiring Partners

100+ Companies

Placements

100% Job Placement Support

Format

Online

Duration

6 Months

Hiring Partners

100+ Companies

EMI Options

Upto 12 Months

Placements

100% Job Placement Support

About GUVI

Why GUVI?

Our comprehensive program in Business Analytics with Digital Marketing will help to gaze a wealth of insight into your marketing performance with the right tools and techniques in Analytics. This leading-edge Technological Program delivers the top-notch analytical skills that will enable you to stand out in the current business & marketing industry. 

Curated by Tech Professionals at GUVI (an IIT-Madras incubated company), and instructed by the industry’s best Subject-matter Experts, this Certification Program incorporates pedagogical tools focusing on industry expectations and trends and provides 100% placement support. 

We are accredited for

Why Business Analytics + Digital Marketing?

In the data-driven world, massive amounts of data are collected on the requirements and behaviour of consumers. Business analytic tools can be used to tailor the marketing campaigns to the consumer’s expenditure, habits and preferences leveraging the best of all channels.

Program Overview:

A program designed by Subject-Matter Experts

Weekend LIVE classes + Lifetime recorded videos

One-on-One with Mentors

Ask me anything sessions with Industry Experts

A digital portfolio through "Github"

Upto 12 months of EMI options available + 7-day Refund Policy

100% Job Placement Assistance 

Globally Recognized Certification from GUVI

A digital portfolio through "Github"

Upto 12 months of EMI options available + 7-day Refund Policy

100% Job Placement Assistance - 50+ Interview

Program Eligibility

Program Eligibility:

  • Professionals & entrepreneurs looking to gain comprehensive skills in management with minimal disruption to their schedule.
  • People who are on a career break and are looking to re-enter the workforce.
  • Early & mid-career professionals looking to build their credentials and establish their expertise.
  • Any interested candidate with a technical degree or equivalent.

Become a Certified Business Analyst

Become a Certified Business Analyst

Learn from Industry Experts

Learn from Industry Experts

Get personalized mentorship and guidance from several Industry experts who work in leading companies

Curriculum

Curriculum

Get a peek through the entire curriculum designed that ensures 100% Job Placement Support

Live Classes with Mentor Support

Live Classes


Tools Covered

Live Classes

Week 1: Data Wrangling in Excel
  • Basic Excel Functionalities
  • Searching and Filtering in data
  • Excel Formulas
  • Merging data in excel
  • Pivot Charts in Excel
  • Cleaning Data with Text functions
Week 2: Data Handling in SQL
  • Introduction to RDBMS
  • Setting up and using SQL
  • Searching and Filtering records
  • CRUD operations in SQL
  • Database Design in SQL
  • Assessment
Week 3: Advanced SQL
  • Groupby functions in SQL
  • Merge and Join functionalities in SQL
  • Common Table Expressions (CTEs)
  • Pivots in SQL
  • Assessment
Week 4: Introduction to Statistics
  • Describing and Summarizing Data : Central Measure, Spread,
    Skew
  • Detecting and correcting Outliers
  • Finding Statistical relationship between two sets of data
  • Inferential statistics - sample vs population
  • Estimation Technique
  • Hypothesis Testing
  • Case Study : Exit poll analysis
Week 5 : Introduction to data visualisation in Excel
  • Read Complex JSON files
  • Styling Tabulation
  • Distribution of Data - Histogram
  • Box Plot
  • Pie Chart
  • Donut Chart
  • Stacked Bar Plot
  • Relative Stacked Bar Plot
  • Stacked Area Plot
  • Scatter Plots
  • Bar Plot
  • Continuous vs Continuous Plot
  • Line Plot
Week 6 : Data visualisation using PowerBI
  • Introduction to PowerBI
  • Creating, Managing and filtering Data
  • Basic Plots in PowerBI - Trend Analysis, Area, Ribbon,
    Scatterplots and Decomposition trees
  • Creating PowerBI reports
  • Creating interactive dashboards and deploying the dashboards
Week 7 : Digital Marketing Basics
  • Fundamentals of Marketing
  • Digital Marketing Channels and Metrics
  • Designing and Building a Web Presence
  • How websites work?
  • Key website ingredients
  • Website design dos and donts
  • Case Study
Week 8 : Introduction to SEO (Search Engine Optimisation)
  • Search Engine basics
  • How search engines see the web?
  • Organic vs Paid search
  • Google search console
  • Intro to SEO
  • SEO process
  • How to choose keywords?
  • Making webpages search friendly
  • Cross borders with SEO
  • Search Engine Marketing
  • SEO for local business
  • Case Study
Week 9 : Social Media Marketing
  • Social Media Basics
  • Right social media websites
  • Measuring social media success
  • Avoiding common social media pitfalls
  • Advertising through Social Media
  • Case Study
  • Assesment

Tools Covered

Week 10 : Content Marketing
  • Email marketing
  • Managing Email Campaigns
  • Display Advertising
  • Understanfing Ad networks
  • Video Marketing
  • Example : Email marketing
  • Example : Content Marketing
Week 11 : Digital Marketing Tools : Google Analytics
  • Introduction to Google Analytics
  • Setting up views and filters
  • Generating Reports
  • Audience, Acquisition and Behaviour Reports
  • Measure google ads campaign
  • Tracking campaigns with the URL Builder
  • Case Study
Week 12 : Introduction to Predictive Analytics
  • Types of ML problems
  • Introduction to Simple and Multiple Linear Regression
  • Interpreting Regression models
  • Case study : Lead Scoring
Week 13 : Predictive Analytics - II
  • Classification using Logistic Regression
  • Classification using Naive Bayes model
  • Case Study : Customer Conversion Prediction
Week 14 : Advanced Predictive Analytics
  • Decision Tree Regression
  • Decision Tree classification
  • Feature Importances
  • Case Study : Customer Churn Prediction
Week 15 : Cluster Analysis
  • Market Basket Analysis
  • K means clustering
  • Case study : Customer segmentation
  • Case study : E-commerce Targeted Ads
Week 16 : RFM Analysis for marketing
  • Introduction to RFM
  • RFM analysis for customer segmentation
  • Case Study
Week 17 : Data visualisation using Tableau
  • Introduction to Tableau
  • Connecting, managing and aggregating data
  • Visual Analytics in Tableau
  • Simple predictive analytics using tableau
  • Building Tableau Dashboards
Week 18 : Interview Prep. & Project

Interview Preparation and Final Project

Live Classes

Technologies covered

Tools Covered

Curriculum

Curriculum

Get a peek through the entire curriculum designed that ensures 100% Job Placement Support

Live Classes with Mentor Support

Live Classes with Mentor Support


Week 1: Data Wrangling in Excel
  • Basic Excel Functionalities
  • Searching and Filtering in data
  • Excel Formulas
  • Merging data in excel
  • Pivot Charts in Excel
  • Cleaning Data with Text functions
Week 2: Data Handling in SQL
  • Introduction to RDBMS
  • Setting up and using SQL
  • Searching and Filtering records
  • CRUD operations in SQL
  • Database Design in SQL
  • Assessment
Week 3: Advanced SQL
  • Groupby functions in SQL
  • Merge and Join functionalities in SQL
  • Common Table Expressions (CTEs)
  • Pivots in SQL
  • Assessment
Week 4: Introduction to Statistics
  • Describing and Summarizing Data : Central Measure, Spread,
    Skew
  • Detecting and correcting Outliers
  • Finding Statistical relationship between two sets of data
  • Inferential statistics - sample vs population
  • Estimation Technique
  • Hypothesis Testing
  • Case Study : Exit poll analysis
Week 5 : Introduction to data visualisation in Excel
  • Read Complex JSON files
  • Styling Tabulation
  • Distribution of Data - Histogram
  • Box Plot
  • Pie Chart
  • Donut Chart
  • Stacked Bar Plot
  • Relative Stacked Bar Plot
  • Stacked Area Plot
  • Scatter Plots
  • Bar Plot
  • Continuous vs Continuous Plot
  • Line Plot
Week 6 : Data visualisation using PowerBI
  • Introduction to PowerBI
  • Creating, Managing and filtering Data
  • Basic Plots in PowerBI - Trend Analysis, Area, Ribbon,
    Scatterplots and Decomposition trees
  • Creating PowerBI reports
  • Creating interactive dashboards and deploying the dashboards
Week 7 : Digital Marketing Basics
  • Fundamentals of Marketing
  • Digital Marketing Channels and Metrics
  • Designing and Building a Web Presence
  • How websites work?
  • Key website ingredients
  • Website design dos and donts
  • Case Study
Week 8 : Introduction to SEO (Search Engine Optimisation)
  • Search Engine basics
  • How search engines see the web?
  • Organic vs Paid search
  • Google search console
  • Intro to SEO
  • SEO process
  • How to choose keywords?
  • Making webpages search friendly
  • Cross borders with SEO
  • Search Engine Marketing
  • SEO for local business
  • Case Study
Week 9 : Social Media Marketing
  • Social Media Basics
  • Right social media websites
  • Measuring social media success
  • Avoiding common social media pitfalls
  • Advertising through Social Media
  • Case Study
  • Assesment
Week 10 : Content Marketing
  • Email marketing
  • Managing Email Campaigns
  • Display Advertising
  • Understanfing Ad networks
  • Video Marketing
  • Example : Email marketing
  • Example : Content Marketing
Week 11 : Digital Marketing Tools : Google Analytics
  • Introduction to Google Analytics
  • Setting up views and filters
  • Generating Reports
  • Audience, Acquisition and Behaviour Reports
  • Measure google ads campaign
  • Tracking campaigns with the URL Builder
  • Case Study
Week 12 : Introduction to Predictive Analytics
  • Types of ML problems
  • Introduction to Simple and Multiple Linear Regression
  • Interpreting Regression models
  • Case study : Lead Scoring
Week 13 : Predictive Analytics - II
  • Classification using Logistic Regression
  • Classification using Naive Bayes model
  • Case Study : Customer Conversion Prediction
Week 14 : Advanced Predictive Analytics
  • Decision Tree Regression
  • Decision Tree classification
  • Feature Importances
  • Case Study : Customer Churn Prediction
Week 15 : Cluster Analysis
  • Market Basket Analysis
  • K means clustering
  • Case study : Customer segmentation
  • Case study : E-commerce Targeted Ads
Week 16 : RFM Analysis for marketing
  • Introduction to RFM
  • RFM analysis for customer segmentation
  • Case Study
Week 17 : Data visualisation using Tableau
  • Introduction to Tableau
  • Connecting, managing and aggregating data
  • Visual Analytics in Tableau
  • Simple predictive analytics using tableau
  • Building Tableau Dashboards
Week 18 : Interview Prep. & Project

Interview Preparation and Final Project

Technologies covered

Tools Covered

6 Months | LIVE classes + Lifetime recorded videos | 
100% Job Placement Assistance

6 Months | Weekend LIVE classes + Lifetime recorded videos |
100% Job Placement Assistance

Benefits of GUVI's Zen Class

100% Placement Support

LIVE Online Classes

One-on-One with Mentors

Refundable Demo Classes

Industry oreinted Projects

₹21 Lakhs Highest Salary 

EMI options available

Ask me anything sessions

Designed by Industry experts

Certification from GUVI

175% Highest Hike

200+ Hiring Partners

Benefits of Zen Class

100% Placement Support

Weekend LIVE classes

One-on-One with Mentors

Refundable Demo Classes

Industry-oreinted Projects

₹21 Lakhs Highest Salary

Designed by Industry Experts

Certification approved by NASSCOM

200+ Hiring Partners

175% Highest Hike

Perks on Course Completion 

Industry- Recognized Certification

Business Analytics with Digital marketing assures you a rewarding course completion certification. Make sure to complete all the projects and pass the assessments with minimum passing marks.

How will I benefit from this certification?

  • Digital Marketing fundamentals & Expertise in Business Data Analytics & Predictions
  • Solid Foundation in Data-driven Business Methodologies 
  • Globally recognized Certification
  • Compliment your abilities in Interviews
  • Honor your skills on LinkedIn
  • Project a career growth 

How does our 100% Job Placement work?

As a skilled professional and a Guvian bolstered with 100% Guaranteed Placement Assistance, you stand a genuine chance of landing your dream job!

Step 1

Enroll in our Business Analytics with Digital Marketing Program

Step 2

Attend Live classes + Pursue self-paced learning

Step 3

Complete the projects assigned by Industry Experts

Step 4

Secure a Digital Portfolio in “Github”

Step 5  

Attend Mock Interviews with our HR team & Technical Round with Industry Experts

Step 6

Receive Interview opportunities with Companies

Step 7

Attend & clear the Interview with splendid packages

Attend as many Interviews as you can till you get your dream job - Guaranteed 50+ Interviews

Certification from GUVI

Certification

  • Certificate will be issued after the successful completion of the course by GUVI.
  • Get Certified for each module
  • Globally recognized enough to outshine in Interviews.
  • Showcases your talent & skillset on LinkedIn.

Pay just Rs 5000 (Refundable) and Pre-Book your seat

Program Fee ₹1,00,000 ₹84,999/- (incl. taxes)

Start learning today & Pay in easy EMIs! Get maximum flexibility to learn at your own pace. EMI Options available!

Introductory Offer! - Get Flat Rs 5000 OFF valid till

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Days
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Hours
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Minutes
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Seconds

Hurry up. Limited seats only!

Where do our Students work?

& more

Our Happy Learners about us!

Frequently Asked Question

Who can take this course?

Early and mid-career professionals, Entrepreneurs, and all aspirants looking to gain comprehensive skills in management & digital marketing.

What is the Course Duration?

6 months with weekend live classes. 

How do I complete this course?

Being a project-based curriculum, every student has to submit 1/2 project with industry experts' guidance. MCQs help evaluate the performance. After the successful completion of the course, Guvi will grant a course completion globally recognized certificate.

What is the format of the course?

This course is in Online format.

What is the Job Placement process? Will I get a Placement offer?

Guvi has 200+ product-based companies tied up for placement Support. Until you are getting placed, you are not out of the program.

Being a Guvian, you deserve all the support and training from the team experts!

What is the Seat Blocking Procedure? Any Pre-booking charges?

You can book your seats with a ₹5000 Pre-book charge. It is a refundable amount. It is for booking your slot so that you may not miss your preferred batch.

What if I miss any live classes? How long do I have access to the learning contents and practice platforms?

Guvi provides you with a recording of every class with unlimited access to all the practice platforms.  So, you barely get a chance to miss out on anything while being a Guvian!

Something more about Certification?

You will get multiple Industry-Recognised Certificates from GUVI, which will get couriered to your house address from the IIT MADRAS address.

What is the Fees Structure?

Pay just ₹ 5000 and Pre-Book your seat. Program Fee INR 84,999(incl. taxes).

What is the Project submission format?

You can submit the projects online. 

What is the EMI payment process?

You exercise an EMI payment option of 3 to 12 months.

Still have Queries?
Contact Us

Request a Callback. An expert from the admissions office will call you in the next 24 working hours. You can also reach out to us at [email protected] or 9344419057

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