Data Analytics for Managers

Executive program for senior professionals

Data Analytics for Managers

  • 3 Months
  • Online Mentorship
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Applications Close Tomorrow

Academic Partner

  • Great Lakes Logo

Why Join Data Analytics for Managers?

Great Learning industry collaboration
Industry Collaboration

Learn industry relevant modules from top industry leaders and practitioners.

Great Learning mentored-learning
Mentored Learning

Live personalised mentorship sessions with industry leaders across business functions.

Great Learning hands on learning
Hands-on Learning

Learn by applying the skills gained by you to solve real-life business problems.

Great Learning manager
Be a better manager

Learn to use data analytics tools to formulate startegies and be more effective in your existing roles.

Great Learning network opportunities
Networking opportunities

Interaction and knowledge sharing with peers who are business leaders at top organisations.

Great Learning no coding
No coding skills required

Program is delivered through Microsoft Excel and requires you to learn no coding at all.

Learning outcomes

Great Learning fundamental analytics
Master fundamentals of analytics

What does analytics mean, what its components are and how it manifests in a real-world business scenario.

Great Learning basics
Learn Machine Learning basics

Ability to perform basic machine learning techniques to build predictive and segmentation models in excel.

Great Learning industry problems
Solve industry problems across domains

New perspective on how to approach different practical problems across business functions like Finance, Marketing & Sales, Operations and HR.

Great Learning data-driven-decisions
Make Data Driven Business decisions

Ability to perform statistical analysis to derive insights from data and answer specific business questions.

Executive program on Data Analytics

3 Months | Online Mentorship

Program Structure

In this 10-week intensive and experiential program, learners will go through a combination of video lectures, self-study learning material, case studies, projects and live mentoring sessions to acquire fundamental skills required to solve problems using data analytics in Excel.

Great Learning Live mentorship

Live mentorship sessions

Live Online sessions will be conducted by our top-ranked faculty and industry experts every weekend.

Great Learning casestudy

Case study based learning

You will work on a number of projects, which are based on real-world case studies. This learning approach will enable you to function as a hands-on manager.

Great Lakes Certificate & ePortfolio

Earn a Great Lakes certificate and create an ePortfolio to showcase your learning & projects in a snapshot. Your certificate and ePortfolio can also be shared on social media channels to establish your credibility in Data Analytics.

Great Learning certificate of Data Analytics for managers
Great Learning academics eportfolio of data analytics for managers alumnus

Curriculum

  • Definition of analytics
  • Lifecycle of analytics projects
  • How to define a problem
  • Analytics value chain in an organization
  • Broad understanding of analytics ecosystem
  • Descriptive Statistics
  • Inferential Statistics - Probability & Distributions
  • Hypothesis Testing
  • ANOVA
  • Basic of Supervised and Unsupervised Learning
  • Linear Regression, KNN Classification
  • K-means, Hierarchical
  • Optimization - Linear Programming

Learn from the Best

Learn from several experienced industry practitioners from leading organizations

Admission Details

Eligibility

  • done 8+ years of work experience.
  • done Mid to Senior professionals who are at managerial level or above.
  • done No coding experience required.
Grear Learning admission and selection process

Selection Process

Step 1

Fill the application form

Step 2

Application review

The faculty panel will review all the applications and shortlist candidates based on their profiles.

Step 4

Admission offer

An admission offer will be made to selected candidates which has to be accepted by paying the admission fees.

Fee Details

Great Learning rupee icon 99,000 + GST
Installments
Admission Fee Great Learning rupee icon 25,000
1st Installment Great Learning rupee icon 37,000
2nd Installment Great Learning rupee icon 37,000
Total 99,000

Payments

Candidates can pay the course fee through

account_balance
Net Banking
credit_card
Credit/Debit Cards
Cheque, DD

Financial Aid

Pay in 12 EMIs at 0% interest Rate with ZestMoney.
Start learning at Rs. 9833/month! Reach out to admission’s office at +91 8448186520 for more details.

Great Learning education loan financial partners by Zestmoney

Upcoming Application Deadline

Tomorrow

We follow a rolling admission process and admissions are closed once the requisite number of participants enroll for the upcoming batch. So, we encourage you to apply early and secure your seat.

Apply Now

Frequently Asked Questions

The Great Lakes' Data Analytics for Mangers Program is a 3-month program offered online with live online classes and virtual labs on weekends.
Data Analytics for Managers course is an Analytics focused management program designed and delivered by Great Lakes Executive Learning. Since this is an executive data analytics course for senior professionals that prepares professionals for managerial careers in Analytics, a graduate degree in any discipline with minimum 50% marks and a prior work experience of at least eight years is required.
The academic modules would be taught by senior faculty from Great Lakes, out of which 3 of the professors are also ranked amongst India’s Top 10 Analytics Academicians. In addition to, Great Lakes faculty, senior leadership from the industry would also participate in delivering certain topics/modules.
Great Lakes’ Data Analytics for Managers course has tie-up with Zest Money from where one can choose to pay in 12 EMIs at 0% interest rate.
All the requisite learning material is provided online to candidates through the Learning Management System. Candidates are free to purchase any reference books or material as may be recommended by the faculty.